<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article article-type="research-article" dtd-version="2.3" xml:lang="EN" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Pathol. Oncol. Res.</journal-id>
<journal-title>Pathology &#x26; Oncology Research</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Pathol. Oncol. Res.</abbrev-journal-title>
<issn pub-type="epub">1532-2807</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">616204</article-id>
<article-id pub-id-type="doi">10.3389/pore.2021.616204</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Society Journal Archive</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>NOTCH Single Nucleotide Polymorphisms in the Predisposition of Breast and Colorectal Cancers in Saudi Patients</article-title>
<alt-title alt-title-type="left-running-head">Alanazi et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">NOTCH Variants in Human Cancers</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Alanazi</surname>
<given-names>Ibrahim O.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shaik</surname>
<given-names>Jilani Purusottapatnam</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Parine</surname>
<given-names>Narasimha Reddy</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Al Naeem</surname>
<given-names>Abdulrahman</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Azzam</surname>
<given-names>Nahla A.</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Almadi</surname>
<given-names>Majid A.</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Aljebreen</surname>
<given-names>Abdulrahman M.</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Alharbi</surname>
<given-names>Othman</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Alanazi</surname>
<given-names>Mohammad Saud</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Khan</surname>
<given-names>Zahid</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<label>
<sup>1</sup>
</label>National Center for Biotechnology, King Abdulaziz City for Science and Technology, <addr-line>Riyadh</addr-line>, <country>Kingdom of Saudi Arabia</country>
</aff>
<aff id="aff2">
<label>
<sup>2</sup>
</label>Genome Research Chair, Department of Biochemistry, College of Science, King Saud University, <addr-line>Riyadh</addr-line>, <country>Kingdom of Saudi Arabia</country>
</aff>
<aff id="aff3">
<label>
<sup>3</sup>
</label>Basic Sciences Department, College of Science and Health Professions, King Saud bin Abdulaziz University for Health Sciences, <addr-line>Riyadh</addr-line>, <country>Kingdom of Saudi Arabia</country>
</aff>
<aff id="aff4">
<label>
<sup>4</sup>
</label>Department of Women&#x2019;s Imaging, King Fahad Medical City, <addr-line>Riyadh</addr-line>, <country>Kingdom of Saudi Arabia</country>
</aff>
<aff id="aff5">
<label>
<sup>5</sup>
</label>College of Medicine, King Saud University, <addr-line>Riyadh</addr-line>, <country>Kingdom of Saudi Arabia</country>
</aff>
<aff id="aff6">
<label>
<sup>6</sup>
</label>Division of Gastroenterology, Department of Medicine, King Khalid University Hospital, King Saud University, <addr-line>Riyadh</addr-line>, <country>Kingdom of Saudi Arabia</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> Anna Sebesty&#xe9;n, Semmelweis University, Hungary</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Zahid Khan, <email>zkhan@ksu.edu.sa</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>04</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>27</volume>
<elocation-id>616204</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>10</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>17</day>
<month>03</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Alanazi, Shaik, Parine, Al Naeem, Azzam, Almadi, Aljebreen, Alharbi, Alanazi and Khan.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Alanazi, Shaik, Parine, Al Naeem, Azzam, Almadi, Aljebreen, Alharbi, Alanazi and Khan</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>Breast cancer (BC) is a heterogeneous disease and is one of the most common malignancy affecting women worldwide while colorectal cancer (CRC) is estimated to be the third common cancer and second leading cause of cancer related death globally. Both BC and CRC involve multiple genetic and epigenetic alterations in genes belonging to various signaling pathways including NOTCH that has been implicated in the development of these cancers. We investigated four single nucleotide polymorphisms, each in genes encoding NOTCH1-4 receptors for their role in susceptibility to breast and colorectal cancers in Saudi population. In this case-control study, TaqMan genotypic analysis of rs3124591 in NOTCH1 and rs3820041 in NOTCH4 did not exhibit association with breast as well as colorectal cancers. However, a strong association of rs11249433 which is in close proximity to NOTCH2 was observed with breast cancer susceptibility especially with those having an early onset of the disease. Interestingly, the rs1043994 located in NOTCH3 showed gender preference and was found to be significantly associated with colorectal cancers in males. Validation of these findings in bigger populations of different ethnicities may prove beneficial in identifying rs11249433 and rs1043994 as genetic screening markers for early detection of breast and colorectal carcinomas, respectively.</p>
</abstract>
<kwd-group>
<kwd>Notch</kwd>
<kwd>single nucleotide polymorphism</kwd>
<kwd>breast cancer</kwd>
<kwd>colorectal cancer</kwd>
<kwd>genetic screening marker</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Breast cancer (BC) is a heterogeneous and one of the common disease affecting women worldwide. BC accounts for 11.7 percent (2.261 million) of all new cancer cases and 6.9 percent (684,996) of all cancer deaths globally [<xref ref-type="bibr" rid="B1">1</xref>]. It is the most frequently diagnosed cancer in women living in Gulf Cooperation Council countries, including Saudi Arabia [<xref ref-type="bibr" rid="B2">2</xref>]. In Saudi Arabia, BC is ranked first among females with an estimated number of new cases to be 3,954 (29.0%) of the 13,632 total cancer cases in women, while BC related mortality was reported to be 1,095 (20.4%) of 5,376 cancer related deaths in 2020 [<xref ref-type="bibr" rid="B3">3</xref>]. About 15&#x2013;30% of breast cancer cases might have underlying genetic transmission or heritable changes, however, these genetic alterations are not completely defined [<xref ref-type="bibr" rid="B4">4</xref>]. Genome-wide association studies (GWAS) have investigated common genetic variants and identified many genetic loci that are linked to the risk of BC [<xref ref-type="bibr" rid="B4">4</xref>]. Another leading human malignancy is colorectal cancer (CRC) ranking third in incidence (9.8%) and second in cancer related mortality (9.2%) in 2020 worldwide [<xref ref-type="bibr" rid="B1">1</xref>]. CRC is a heterogeneous disease involving the colon and rectum that harbors abnormalities in different molecular pathways. A number of epidemiological studies have shown that environmental factors and genetic susceptibility leads to the risk of developing CRC [<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>]. In Saudi Arabia, the number of CRC incidence accounts for 3,924 cases (14.0%), while the number of CRC related deaths were estimated to be 1,964 (15.0%) for both genders. It is the leading malignancy in Saudi men with an estimated number of new cases to be 2702 (18.9%) in 2020&#x20;[<xref ref-type="bibr" rid="B3">3</xref>].</p>
<p>Several studies indicate that genetic variations are associated with risk of BC [<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>] and play important role in CRC carcinogenesis and clinical outcome [<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>]. Genetic variation includes the copy number variations (CNVs) that may involve sequence range between a few kilobases up to millions of bases, indels which include insertion/deletion of one or more nucleotides and single nucleotide polymorphisms (SNPs), which are the substitution of a single nucleotide along the DNA [<xref ref-type="bibr" rid="B11">11</xref>]. The location of these SNPs in or near genes that play important roles in signal transduction pathways, gene expression and regulation, control of cell cycle and genome stability, can profoundly affect the function of these genes. Several molecular mechanisms affecting signaling pathways including notch that regulates cell proliferation, differentiation and apoptosis have been reported in human cancers [<xref ref-type="bibr" rid="B12">12</xref>]. The NOTCH gene family consists of four receptors (NOTCH1, NOTCH2, NOTCH3, and NOTCH4). These receptors are expressed as heterodimers on the cell surface. Notch signaling plays an important role in several cellular processes including proliferation, epithelial cell polarity/adhesion and apoptosis. This signaling is activated by binding of notch ligand to epidermal growth factor (EGF) -like repeats on the neighboring cell notch receptor. Notch receptors have opposed functions in normal and cancerous breast tissues [<xref ref-type="bibr" rid="B13">13</xref>]. Aberrant notch signaling have been observed in various cancers including BC [<xref ref-type="bibr" rid="B14">14</xref>] and CRC [<xref ref-type="bibr" rid="B15">15</xref>]. This pathway has a significant role in the development of human breast cancer deduced from studies on mouse mammary tumor virus-induced cancer [<xref ref-type="bibr" rid="B14">14</xref>]. In CRC as well notch receptors are recognized to be highly oncogenic [<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>]. <italic>In vitro</italic> overexpression of NOTCH1 has been implicated in colony formation, proliferation and tumorsphere formation of CRC cells. Additionally, NOTCH1 promotes growth and development of colon cancers <italic>in vivo</italic>&#x20;[<xref ref-type="bibr" rid="B15">15</xref>].</p>
<p>Efforts are ongoing to identify reliable biomarkers for predicting human malignant neoplastic diseases. Genetic variation analysis has the potential to be utilized for screening and identifying novel prognosis genes. Single-nucleotide polymorphisms (SNPs) is one of the most common type of genetic variation that may serve as potential and distinctive genetic markers. In the present study, based on the associations with cancers from previous literature, we examined the influence of four SNPs, rs3124591, rs11249433, rs1043994, and rs3830041 which are located within or in close proximity of NOTCH1, NOTCH2, NOTCH3 and NOTCH4 genes, respectively on BC and CRC susceptibility by comparing the genotypic distribution of these SNPs in cancer cases to that of healthy subjects from Saudi Arabia.</p>
</sec>
<sec id="s2">
<title>materials and methods</title>
<sec id="s2-1">
<title>Study Population</title>
<p>The study subjects included in this case-control study comprised of women with pathologically confirmed breast cancer and age-matched female controls of Saudi Arabian ethnicity without any history of cancer. The median age at the time of breast cancer diagnosis was 53&#xa0;years. The number of cases and controls examined for each SNP were as follows: NOTCH1 rs3124591 (cases <italic>n</italic>&#x20;&#x3d; 190; controls <italic>n</italic>&#x20;&#x3d; 70), NOTCH2 related rs11249433 (cases <italic>n</italic>&#x20;&#x3d; 185; controls <italic>n</italic>&#x20;&#x3d; 133), NOTCH3 rs1043994 (cases <italic>n</italic>&#x20;&#x3d; 182; control <italic>n</italic>&#x20;&#x3d; 128), NOTCH4 rs3830041 (cases <italic>n</italic>&#x20;&#x3d; 186; controls <italic>n</italic>&#x20;&#x3d; 134). Pretreatment blood samples from breast cancer patients were collected at King Fahad Medical City, Riyadh.</p>
<p>The number of CRC cases and controls included in this study for each SNP were as follows: NOTCH1 rs3124591 (cases <italic>n</italic>&#x20;&#x3d; 96; controls <italic>n</italic>&#x20;&#x3d; 103), NOTCH2 related rs11249433 (cases <italic>n</italic>&#x20;&#x3d; 141; controls <italic>n</italic>&#x20;&#x3d; 139), NOTCH3 rs1043994 (cases <italic>n</italic>&#x20;&#x3d; 134; controls <italic>n</italic>&#x20;&#x3d; 139), NOTCH4 rs3830041 (cases <italic>n</italic>&#x20;&#x3d; 141; controls <italic>n</italic>&#x20;&#x3d; 139). The median age at diagnosis of CRC was 58&#xa0;years. Age-matched controls were recruited after diagnostic exclusion of cancer and cancer-related diseases. Blood samples from CRC patients were taken prior to receiving treatment at King Khalid University Hospital, Riyadh.</p>
</sec>
<sec id="s2-2">
<title>DNA Extraction</title>
<p>Ethylenediaminetetraacetic acid (EDTA) containing vacutainers were used to collect approximately 3&#xa0;ml of blood samples from each study participants. Genomic DNA isolation was performed utilizing QIAmp DNA blood mini kit (Catalog no. 51104, Qiagen, Valencia, CA, United&#x20;States) as per the manufacturer&#x2019;s instructions. Spectrophotometric quantitation and purity of the extracted DNA was done on NanoDrop 8000 (Thermo Scientific, Waltham, MA, United&#x20;States).</p>
</sec>
<sec id="s2-3">
<title>SNP Selection and Genotyping</title>
<p>A total of four single nucleotide polymorphism in NOTCH1, NOTCH2, NOTCH3 and NOTCH4 receptor genes were selected from previous literature [<xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B24">24</xref>]. TaqMan allelic discrimination assays were used to genotype the SNPs based on Livak&#x2019;s method [<xref ref-type="bibr" rid="B25">25</xref>]. Briefly, for each sample, 20&#xa0;ng of purified genomic DNA was mixed with 5.0&#xa0;&#xb5;l of 2&#xd7; TaqMan genotyping Master Mix (Catalog no. 4371355, Applied Biosystems, Foster City, CA, United&#x20;States) and 0.25&#xa0;&#xb5;l of 40&#xd7; TaqMan SNP genotyping assay (Catalog no. 4351379, Assay ID: C____189,059_10; C__31617470_30; C___7494157_10; C__27523194_10, Thermo Fisher Scientific, United&#x20;States) containing the primers and probe in a total volume of 10&#xa0;&#xb5;L performed in Fast Optical 96-Well Reaction Plate (Catalog no. 4346906, Applied Biosystems, Foster City, CA, United&#x20;States). The genotypes were determined by endpoint reading on QuantStudio 7 Flex Real Time PCR system (Applied Biosystems, Foster City, CA, United&#x20;States). The instrument was programmed as follows: pre-read at 60&#xb0;C for 30&#xa0;s, polymerase activation at 95&#xb0;C for 10&#xa0;min, 40 cycles of denaturation at 95&#xb0;C for 15&#xa0;s and annealing/extension at 60&#xb0;C for 1&#xa0;min followed by post-read at 60&#xb0;C for 30&#xa0;s. TaqMan Genotyper Software version 1.4 was used to automatically analyze the data and make the genotype&#x20;calls.</p>
</sec>
<sec id="s2-4">
<title>Statistical Analysis</title>
<p>Frequencies for the three genotypes and alleles for each SNP were computed and tests for deviation from Hardy-Weinberg equilibrium and tests for association were performed using publicly available web-based tool at <ext-link ext-link-type="uri" xlink:href="https://ihg.helmholtz-muenchen.de/cgi-bin/hw/hwa1.pl">https://ihg.helmholtz-muenchen.de/cgi-bin/hw/hwa1.pl</ext-link>. Genetic association of each SNP with breast and colorectal cancer were determined by case-control comparisons using the chi-square test and odds ratios (OR), and 95% CI. A <italic>p</italic>-value of &#x2264; 0.05 was considered as significant. Additionally, since we analyzed 4 SNPs in total, Bonferroni&#x2019;s correction for multiple comparison was applied with an <italic>&#x3b1;</italic> &#x3d; 0.0125 considered as significant.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>We examined the genotypes of four germline SNPs residing in NOTCH1 - rs3124591, NOTCH2 - rs11249433, NOTCH3 - rs1043994, and NOTCH4 - rs3830041 to determine their association with breast and colorectal cancer risk in Saudi Arabian patients. The rs3124591 is a 3 Prime UTR variant in NOTCH1, rs11249433 resides in a linkage disequilibrium block neighboring NOTCH2, rs1043994 is a synonymous variant coding for alanine at protein position 202 of NOTCH3 and rs3830041 is an intronic variant in NOTCH4 receptor.</p>
<sec id="s3-1">
<title>Association of Genetic Variants in NOTCH Receptors With Breast and Colorectal Cancers</title>
<sec id="s3-1-1">
<title>Breast Cancer</title>
<p>The distribution of genotypes for all the four SNPs in control group as well as NOTCH3 rs1043994 and NOTCH4 rs3830041 in breast cancers followed Hardy-Weinberg equilibrium while SNPs rs3124591 in NOTCH1 (<italic>p</italic>&#x20;&#x3d; 0.046275) and NOTCH2 related rs11249433 (<italic>p</italic>&#x20;&#x3d; 0.000095) in breast cancers deviated from Hardy-Weinberg equilibrium (<xref ref-type="table" rid="T1">Table&#x20;1</xref>). Clinicopathological and demographic data along with genotypes of the examined SNPs for each breast cancer cases and controls are presented in <xref ref-type="sec" rid="s9">Supplementary Table&#x20;S1</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Test for deviation from Hardy-Weinberg equilibrium.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">SNP ID</th>
<th align="center">Genotype</th>
<th align="center">Controls <italic>n</italic> (frequency)</th>
<th align="center">HWE <italic>p</italic>-value</th>
<th align="center">Cancer <italic>n</italic> (frequency)</th>
<th align="center">HWE <italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="6" align="left">
<bold>Breast cancer</bold>
</td>
</tr>
<tr>
<td rowspan="3" align="left">&#x2003;rs3124591</td>
<td align="center">CC</td>
<td align="char" char="(">52 (0.74)</td>
<td align="char" char=".">0.217048</td>
<td align="char" char="(">142 (0.75)</td>
<td align="char" char=".">
<bold>0.046275</bold>
</td>
</tr>
<tr>
<td align="center">CT</td>
<td align="char" char="(">18 (0.26)</td>
<td align="left"/>
<td align="char" char="(">48 (0.25)</td>
<td align="left"/>
</tr>
<tr>
<td align="center">TT</td>
<td align="char" char="(">00 (0.00)</td>
<td align="left"/>
<td align="char" char="(">00 (0.00)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="3" align="left">&#x2003;rs11249433</td>
<td align="center">GG</td>
<td align="char" char="(">19 (0.14)</td>
<td align="char" char=".">0.730739</td>
<td align="char" char="(">14 (0.08)</td>
<td align="char" char=".">
<bold>0.000095</bold>
</td>
</tr>
<tr>
<td align="center">GA</td>
<td align="char" char="(">65 (0.49)</td>
<td align="left"/>
<td align="char" char="(">112 (0.60)</td>
<td align="left"/>
</tr>
<tr>
<td align="center">AA</td>
<td align="char" char="(">49 (0.37)</td>
<td align="left"/>
<td align="char" char="(">59 (0.32)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="3" align="left">&#x2003;rs1043994</td>
<td align="center">GG</td>
<td align="char" char="(">64 (0.5)</td>
<td align="char" char=".">0.053619</td>
<td align="char" char="(">103 (0.566)</td>
<td align="char" char=".">0.507910</td>
</tr>
<tr>
<td align="center">GA</td>
<td align="char" char="(">59 (0.46)</td>
<td align="left"/>
<td align="char" char="(">70 (0.385)</td>
<td align="left"/>
</tr>
<tr>
<td align="center">AA</td>
<td align="char" char="(">05 (0.04)</td>
<td align="left"/>
<td align="char" char="(">09 (0.049)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="3" align="left">&#x2003;rs3830041</td>
<td align="center">CC</td>
<td align="char" char="(">57 (0.42)</td>
<td align="char" char=".">0.958591</td>
<td align="char" char="(">91 (0.49)</td>
<td align="char" char=".">0.445045</td>
</tr>
<tr>
<td align="center">CT</td>
<td align="char" char="(">61 (0.46)</td>
<td align="left"/>
<td align="char" char="(">75 (0.40)</td>
<td align="left"/>
</tr>
<tr>
<td align="center">TT</td>
<td align="char" char="(">16 (0.12)</td>
<td align="left"/>
<td align="char" char="(">20 (0.11)</td>
<td align="left"/>
</tr>
<tr>
<td colspan="6" align="left">
<bold>Colorectal cancer</bold>
</td>
</tr>
<tr>
<td rowspan="3" align="left">&#x2003;rs3124591</td>
<td align="center">CC</td>
<td align="char" char="(">82 (0.80)</td>
<td align="char" char=".">0.249306</td>
<td align="char" char="(">74 (0.77)</td>
<td align="char" char=".">0.204808</td>
</tr>
<tr>
<td align="center">CT</td>
<td align="char" char="(">21 (0.20)</td>
<td align="left"/>
<td align="char" char="(">22 (0.23)</td>
<td align="left"/>
</tr>
<tr>
<td align="center">TT</td>
<td align="char" char="(">00 (00)</td>
<td align="left"/>
<td align="char" char="(">00 (00)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="3" align="left">&#x2003;rs11249433</td>
<td align="center">GG</td>
<td align="char" char="(">13 (0.09)</td>
<td align="char" char=".">0.179768</td>
<td align="char" char="(">16 (0.11)</td>
<td align="char" char=".">0.250366</td>
</tr>
<tr>
<td align="center">GA</td>
<td align="char" char="(">70 (0.50)</td>
<td align="left"/>
<td align="char" char="(">72 (0.51)</td>
<td align="left"/>
</tr>
<tr>
<td align="center">AA</td>
<td align="char" char="(">56 (0.40)</td>
<td align="left"/>
<td align="char" char="(">53 (0.38)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="3" align="left">&#x2003;rs1043994</td>
<td align="center">GG</td>
<td align="char" char="(">84 (0.60)</td>
<td align="char" char=".">0.117103</td>
<td align="char" char="(">76 (0.57)</td>
<td align="char" char=".">
<bold>0.019035</bold>
</td>
</tr>
<tr>
<td align="center">GA</td>
<td align="char" char="(">52 (0.37)</td>
<td align="left"/>
<td align="char" char="(">56 (0.42)</td>
<td align="left"/>
</tr>
<tr>
<td align="center">AA</td>
<td align="char" char="(">03 (0.02)</td>
<td align="left"/>
<td align="char" char="(">2 (0.01)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="3" align="left">&#x2003;rs3830041</td>
<td align="center">CC</td>
<td align="char" char="(">69 (0.50)</td>
<td align="char" char=".">0.284159</td>
<td align="char" char="(">75 (0.53)</td>
<td align="char" char=".">0.095852</td>
</tr>
<tr>
<td align="center">CT</td>
<td align="char" char="(">54 (0.39)</td>
<td align="left"/>
<td align="char" char="(">50 (0.35)</td>
<td align="left"/>
</tr>
<tr>
<td align="center">TT</td>
<td align="char" char="(">16 (0.12)</td>
<td align="left"/>
<td align="char" char="(">16 (0.11)</td>
<td align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>HWE, Hardy-Weinberg equilibrium; <italic>p</italic>&#x20;&#x2264; 0.05 was considered significant and are depicted in bold and deviated from HWE.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The distributions of genotype and allele frequencies of the examined SNPs are shown in <xref ref-type="table" rid="T2">Table&#x20;2</xref>. In the overall analysis, only rs11249433 SNP that is in linkage disequilibrium with NOTCH2 exhibited statistically significant association with breast cancer susceptibility. In breast cancer cases the GA genotype was detected at a significantly higher proportion of 60% compared to 49% in the control group. Women that harbor heterozygous GA genotype for this SNP were at 2.3-fold higher risk of developing carcinoma of the breast compared to those having GG genotype (OR &#x3d; 2.338, &#x3c7;<sup>2</sup> &#x3d; 5.04, <italic>p</italic>&#x20;&#x3d; 0.02478). The other three SNPs, rs3124591 (NOTCH1), rs1043994 (NOTCH3), and rs3830041 (NOTCH4) were not significantly associated with the predisposition of breast carcinoma in the overall analysis (<xref ref-type="table" rid="T2">Table&#x20;2</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>NOTCH receptors SNPs genotype and allele frequencies in breast cancer cases and control population.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">SNP ID</th>
<th align="center">Genotype</th>
<th align="center">Controls <italic>n</italic> (frequency)</th>
<th align="center">Breast cancer <italic>n</italic> (frequency</th>
<th align="center">OR (95%CI)</th>
<th align="center">&#x3c7;<sup>2</sup> -value</th>
<th align="center">
<italic>p</italic>-value&#x2a;</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="6" align="left">rs3124591, NOTCH1</td>
<td align="center">CC</td>
<td align="char" char="(">52 (0.74)</td>
<td align="char" char="(">142 (0.75)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">CT</td>
<td align="char" char="(">18 (0.26)</td>
<td align="char" char="(">48 (0.25)</td>
<td align="center">0.977 (0.521&#x2013;1.830)</td>
<td align="center">0.01</td>
<td align="char" char=".">0.94090</td>
</tr>
<tr>
<td align="center">TT</td>
<td align="char" char="(">00 (0.00)</td>
<td align="char" char="(">00 (0.00)</td>
<td align="center">0.368 (0.007&#x2013;18.806)</td>
<td align="center">na</td>
<td align="char" char=".">1.00000</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">C</td>
<td align="char" char="(">122 (0.87)</td>
<td align="char" char="(">332 (0.87)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">T</td>
<td align="char" char="(">18 (0.13)</td>
<td align="char" char="(">48 (0.13)</td>
<td align="center">0.980 (0.549&#x2013;1.750)</td>
<td align="center">0.00</td>
<td align="char" char=".">0.94536</td>
</tr>
<tr>
<td rowspan="6" align="left">rs11249433, NOTCH2</td>
<td align="center">GG</td>
<td align="char" char="(">19 (0.14)</td>
<td align="char" char="(">14 (0.08)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">GA</td>
<td align="char" char="(">65 (0.49)</td>
<td align="char" char="(">112 (0.60)</td>
<td align="center">2.338 (1.099&#x2013;4.975)</td>
<td align="center">5.04</td>
<td align="char" char=".">
<bold>0.02478</bold>
</td>
</tr>
<tr>
<td align="center">AA</td>
<td align="char" char="(">49 (0.37)</td>
<td align="char" char="(">59 (0.32)</td>
<td align="center">1.634 (0.744&#x2013;3.591)</td>
<td align="center">1.51</td>
<td align="char" char=".">0.21943</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">G</td>
<td align="char" char="(">103 (0.39)</td>
<td align="char" char="(">140 (0.38)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">A</td>
<td align="char" char="(">163 (0.61)</td>
<td align="char" char="(">230 (0.62)</td>
<td align="center">1.038 (0.751&#x2013;1.435)</td>
<td align="center">0.05</td>
<td align="char" char=".">0.82096</td>
</tr>
<tr>
<td rowspan="6" align="left">rs1043994, NOTCH3</td>
<td align="center">GG</td>
<td align="char" char="(">64 (0.5)</td>
<td align="char" char="(">103 (0.566)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">GA</td>
<td align="char" char="(">59 (0.46)</td>
<td align="char" char="(">70 (0.385)</td>
<td align="center">0.737 (0.463&#x2013;1.175)</td>
<td align="center">1.65</td>
<td align="char" char=".">0.19939</td>
</tr>
<tr>
<td align="center">AA</td>
<td align="char" char="(">05 (0.04)</td>
<td align="char" char="(">09 (0.049)</td>
<td align="center">1.118 (0.359&#x2013;3.486)</td>
<td align="center">0.04</td>
<td align="char" char=".">0.84690</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">G</td>
<td align="char" char="(">187 (0.73)</td>
<td align="char" char="(">276 (0.76)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">A</td>
<td align="char" char="(">69 (0.27)</td>
<td align="char" char="(">88 (0.24)</td>
<td align="center">0.864 (0.599&#x2013;1.246)</td>
<td align="center">0.61</td>
<td align="char" char=".">0.43364</td>
</tr>
<tr>
<td rowspan="6" align="left">rs3830041, NOTCH4</td>
<td align="center">CC</td>
<td align="char" char="(">57 (0.42)</td>
<td align="char" char="(">91 (0.49)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">CT</td>
<td align="char" char="(">61 (0.46)</td>
<td align="char" char="(">75 (0.40)</td>
<td align="center">0.770 (0.480&#x2013;1.236)</td>
<td align="center">1.17</td>
<td align="char" char=".">0.27882</td>
</tr>
<tr>
<td align="center">TT</td>
<td align="char" char="(">16 (0.12)</td>
<td align="char" char="(">20 (0.11)</td>
<td align="center">0.783 (0.375&#x2013;1.635)</td>
<td align="center">0.43</td>
<td align="char" char=".">0.51417</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">C</td>
<td align="char" char="(">175 (0.65)</td>
<td align="char" char="(">257 (0.69)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">T</td>
<td align="char" char="(">93 (0.35)</td>
<td align="char" char="(">115 (0.31)</td>
<td align="center">0.842 (0.603&#x2013;1.176)</td>
<td align="center">1.02</td>
<td align="char" char=".">0.31284</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>OR 95% CI, Odds Ratio and 95% Confidence Interval; na, not analyzable.</p>
</fn>
<fn>
<p>&#x2a; <italic>p</italic>&#x20;&#x2264; 0.05 was considered significant and are depicted in&#x20;bold.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-1-2">
<title>Colorectal Cancer</title>
<p>Pathologically confirmed colorectal cancer cases and age as well as gender-matched controls from Saudi Arabian population without prior history of cancer were examined to find an association of genetic variants in NOTCH receptors and susceptibility of CRC. The genotypes distributions of all the SNPs were in accordance with Hardy-Weinberg equilibrium in control population. In CRC patients, genotypes of all SNPs except NOTCH3 rs1043994 followed Hardy-Weinberg equilibrium (<xref ref-type="table" rid="T1">Table&#x20;1</xref>). The clinicopathological and demographic data for each colorectal cancers and controls along with genotypes of analyzed SNPs are presented in <xref ref-type="sec" rid="s9">Supplementary Table&#x20;S2</xref>.</p>
<p>The genotypes and allele frequencies in CRCs and controls are shown in <xref ref-type="table" rid="T3">Table&#x20;3</xref>. The genotypic and allelic frequencies in CRC patients and control group were not significantly different and hence these SNPs in the NOTCH receptors were not associated with the susceptibility of colorectal cancers in our cohort in the overall analysis (<xref ref-type="table" rid="T3">Table&#x20;3</xref>).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>NOTCH receptors SNPs genotype and allele frequencies in colorectal cancer cases and control population.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">SNP ID</th>
<th align="center">Genotype</th>
<th align="center">Controls <italic>n</italic> (frequency)</th>
<th align="center">CRC <italic>n</italic> (frequency)</th>
<th align="center">OR (95%CI)</th>
<th align="center">&#x3c7;<sup>2</sup> -value</th>
<th align="center">
<italic>p</italic>-value&#x2a;</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="6" align="left">rs3124591, NOTCH1</td>
<td align="center">CC</td>
<td align="char" char="(">82 (0.80)</td>
<td align="char" char="(">74 (0.77)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">CT</td>
<td align="char" char="(">21 (0.20)</td>
<td align="char" char="(">22 (0.23)</td>
<td align="center">1.161 (0.591&#x2013;2.281)</td>
<td align="center">0.19</td>
<td align="char" char=".">0.66499</td>
</tr>
<tr>
<td align="center">TT</td>
<td align="char" char="(">00 (00)</td>
<td align="char" char="(">00 (00)</td>
<td align="center">1.107 (0.022&#x2013;56.510)</td>
<td align="center">na</td>
<td align="char" char=".">1.00000</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">C</td>
<td align="char" char="(">185 (0.90)</td>
<td align="char" char="(">170 (0.89)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">T</td>
<td align="char" char="(">21 (0.10)</td>
<td align="char" char="(">22 (0.11)</td>
<td align="center">1.140 (0.605&#x2013;2.147)</td>
<td align="center">0.16</td>
<td align="char" char=".">0.68477</td>
</tr>
<tr>
<td rowspan="6" align="left">rs11249433, NOTCH2</td>
<td align="center">GG</td>
<td align="char" char="(">13 (0.09)</td>
<td align="char" char="(">16 (0.11)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">GA</td>
<td align="char" char="(">70 (0.50)</td>
<td align="char" char="(">72 (0.51)</td>
<td align="center">0.836 (0.375&#x2013;1.864)</td>
<td align="center">0.19</td>
<td align="char" char=".">0.66086</td>
</tr>
<tr>
<td align="center">AA</td>
<td align="char" char="(">56 (0.40)</td>
<td align="char" char="(">53 (0.38)</td>
<td align="center">0.769 (0.338&#x2013;1.750)</td>
<td align="center">0.39</td>
<td align="char" char=".">0.53077</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">G</td>
<td align="char" char="(">96 (0.35)</td>
<td align="char" char="(">104 (0.37)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">A</td>
<td align="char" char="(">182 (0.65)</td>
<td align="char" char="(">178 (0.63)</td>
<td align="center">0.903 (0.639&#x2013;1.276)</td>
<td align="center">0.34</td>
<td align="char" char=".">0.56221</td>
</tr>
<tr>
<td rowspan="6" align="left">rs1043994, NOTCH3</td>
<td align="center">GG</td>
<td align="char" char="(">84 (0.60)</td>
<td align="char" char="(">76 (0.57)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">GA</td>
<td align="char" char="(">52 (0.37)</td>
<td align="char" char="(">56 (0.42)</td>
<td align="center">1.190 (0.730&#x2013;1.940)</td>
<td align="center">0.49</td>
<td align="char" char=".">0.48457</td>
</tr>
<tr>
<td align="center">AA</td>
<td align="char" char="(">03 (0.02)</td>
<td align="char" char="(">2 (0.01)</td>
<td align="center">0.737 (0.120&#x2013;4.529)</td>
<td align="center">0.11</td>
<td align="char" char=".">0.74081</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">G</td>
<td align="char" char="(">220 (0.79)</td>
<td align="char" char="(">208 (0.78)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">A</td>
<td align="char" char="(">58 (0.21)</td>
<td align="char" char="(">60 (0.22)</td>
<td align="center">1.094 (0.728&#x2013;1.645)</td>
<td align="center">0.19</td>
<td align="char" char=".">0.66521</td>
</tr>
<tr>
<td rowspan="6" align="left">rs3830041, NOTCH4</td>
<td align="center">CC</td>
<td align="char" char="(">69 (0.50)</td>
<td align="char" char="(">75 (0.53)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">CT</td>
<td align="char" char="(">54 (0.39)</td>
<td align="char" char="(">50 (0.35)</td>
<td align="center">0.852 (0.514&#x2013;1.411)</td>
<td align="center">0.39</td>
<td align="char" char=".">0.53349</td>
</tr>
<tr>
<td align="center">TT</td>
<td align="char" char="(">16 (0.12)</td>
<td align="char" char="(">16 (0.11)</td>
<td align="center">0.920 (0.428&#x2013;1.979)</td>
<td align="center">0.05</td>
<td align="char" char=".">0.83107</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">C</td>
<td align="char" char="(">192 (0.69)</td>
<td align="char" char="(">200 (0.71)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">T</td>
<td align="char" char="(">86 (0.31)</td>
<td align="char" char="(">82 (0.29)</td>
<td align="center">0.915 (0.638&#x2013;1.314)</td>
<td align="center">0.23</td>
<td align="char" char=".">0.63157</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CRC, colorectal cancer; OR 95% CI, odds ratio and 95% Confidence Interval; na, not analyzable.</p>
</fn>
<fn>
<p>&#x2a; <italic>p</italic>&#x20;&#x2264; 0.05 was considered significant and are depicted in&#x20;bold.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s3-2">
<title>Genetic Variants in NOTCH Receptors and Age of Onset of Breast and Colorectal Cancers</title>
<sec id="s3-2-1">
<title>Breast Cancer</title>
<p>To determine the association between genetic variants in NOTCH receptors and age of onset of breast cancer, we segregated the cases and control groups based on the median age of breast cancer diagnosis as &#x2264;53&#xa0;years and &#x3e;53&#xa0;years. As observed for the overall analysis, the rs11249433 (NOTCH2) SNP was found to be significantly associated with early onset (&#x2264;53&#xa0;years of age at diagnosis) of breast cancer. The GA genotype of NOTCH2 related rs11249433 SNP conferred about 4.7 fold higher risk of developing carcinoma of the breast before or till the age of 53&#xa0;years relative to those having GG genotype (OR &#x3d; 4.692, &#x3c7;<sup>2</sup> &#x3d; 7.26, <italic>p</italic>&#x20;&#x3d; 0.00707) (<xref ref-type="table" rid="T4">Table&#x20;4</xref>). This association was maintained even after Bonferroni&#x2019;s correction for multiple comparisons. The other variants, rs3124591 (NOTCH1), rs1043994 (NOTCH3), and rs3830041 (NOTCH4) did not influence the early onset of breast malignancies in our patients. Similarly, the distribution of genotype and allele frequencies of all the four SNPs were comparable in controls and breast cancer patients whose age at the time of diagnosis was &#x3e;53&#xa0;years and hence were not associated with the late onset of the disease (<xref ref-type="table" rid="T4">Table&#x20;4</xref>).</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>NOTCH receptors SNPs genotype and allele frequencies in breast cancer cases and control population based on&#x20;age.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">SNP ID</th>
<th align="center">Genotype</th>
<th align="center">Controls <italic>n</italic> (frequency)</th>
<th align="center">Breast cancer <italic>n</italic> (frequency)</th>
<th align="center">OR (95%CI)</th>
<th align="center">&#x3c7;<sup>2</sup> -value</th>
<th align="center">
<italic>p</italic>-value&#x2a;</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="7" align="left">
<bold>&#x2264;53&#x20;years</bold>
</td>
</tr>
<tr>
<td rowspan="6" align="left">&#x2003;rs3124591, NOTCH1</td>
<td align="center">CC</td>
<td align="char" char="(">39 (0.74)</td>
<td align="char" char="(">72 (0.735)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">CT</td>
<td align="char" char="(">14 (0.26)</td>
<td align="char" char="(">26 (0.265)</td>
<td align="center">1.006 (0.472&#x2013;2.146)</td>
<td align="center">0.00</td>
<td align="char" char=".">0.98775</td>
</tr>
<tr>
<td align="center">TT</td>
<td align="char" char="(">00 (0.00)</td>
<td align="char" char="(">00 (0.00)</td>
<td align="center">0.545 (0.011&#x2013;27.988)</td>
<td align="center">na</td>
<td align="char" char=".">1.00000</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">C</td>
<td align="char" char="(">92 (0.87)</td>
<td align="char" char="(">170 (0.87)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">T</td>
<td align="char" char="(">14 (0.13)</td>
<td align="char" char="(">26 (0.13)</td>
<td align="center">1.005 (0.500&#x2013;2.019)</td>
<td align="center">0.00</td>
<td align="char" char=".">0.98872</td>
</tr>
<tr>
<td rowspan="6" align="left">&#x2003;rs11249433, NOTCH2</td>
<td align="center">GG</td>
<td align="char" char="(">12 (0.15)</td>
<td align="char" char="(">04 (0.04)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">GA</td>
<td align="char" char="(">39 (0.49)</td>
<td align="char" char="(">61 (0.64)</td>
<td align="center">4.692 (1.412&#x2013;15.592)</td>
<td align="center">7.26</td>
<td align="char" char=".">
<bold>0.00707</bold>
</td>
</tr>
<tr>
<td align="center">AA</td>
<td align="char" char="(">29 (0.36)</td>
<td align="char" char="(">31 (0.32)</td>
<td align="center">3.207 (0.928&#x2013;11.079)</td>
<td align="center">3.62</td>
<td align="char" char=".">0.05724</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">G</td>
<td align="char" char="(">63 (0.39)</td>
<td align="char" char="(">69 (0.36)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">A</td>
<td align="char" char="(">97 (0.61)</td>
<td align="char" char="(">123 (0.64)</td>
<td align="center">1.158 (0.751&#x2013;1.785)</td>
<td align="center">0.44</td>
<td align="char" char=".">0.50712</td>
</tr>
<tr>
<td rowspan="6" align="left">&#x2003;rs1043994, NOTCH3</td>
<td align="center">GG</td>
<td align="char" char="(">38 (0.47)</td>
<td align="char" char="(">58 (0.604)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">GA</td>
<td align="char" char="(">39 (0.49)</td>
<td align="char" char="(">34 (0.354)</td>
<td align="center">0.571 (0.309&#x2013;1.057)</td>
<td align="center">3.20</td>
<td align="char" char=".">0.07350</td>
</tr>
<tr>
<td align="center">AA</td>
<td align="char" char="(">3 (0.04)</td>
<td align="char" char="(">4 (0.042)</td>
<td align="center">0.874 (0.185&#x2013;4.123)</td>
<td align="center">0.03</td>
<td align="char" char=".">0.86436</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">G</td>
<td align="char" char="(">115 (0.72)</td>
<td align="char" char="(">150 (0.78)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">A</td>
<td align="char" char="(">45 (0.28)</td>
<td align="char" char="(">42 (0.22)</td>
<td align="center">0.716 (0.440&#x2013;1.163)</td>
<td align="center">1.83</td>
<td align="char" char=".">0.17587</td>
</tr>
<tr>
<td rowspan="6" align="left">&#x2003;rs3830041, NOTCH4</td>
<td align="center">CC</td>
<td align="char" char="(">30 (0.37)</td>
<td align="char" char="(">48 (0.495)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">CT</td>
<td align="char" char="(">40 (0.49)</td>
<td align="char" char="(">41 (0.423)</td>
<td align="center">0.641 (0.341&#x2013;1.204)</td>
<td align="center">1.92</td>
<td align="char" char=".">0.16550</td>
</tr>
<tr>
<td align="center">TT</td>
<td align="char" char="(">11 (0.14)</td>
<td align="char" char="(">8 (0.082)</td>
<td align="center">0.455 (0.164&#x2013;1.259)</td>
<td align="center">2.36</td>
<td align="char" char=".">0.12412</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">C</td>
<td align="char" char="(">100 (0.62)</td>
<td align="char" char="(">137 (0.71)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">T</td>
<td align="char" char="(">62 (0.38)</td>
<td align="char" char="(">57 (0.29)</td>
<td align="center">0.671 (0.431&#x2013;1.045)</td>
<td align="center">3.14</td>
<td align="char" char=".">0.07661</td>
</tr>
<tr>
<td colspan="7" align="left">
<bold>&#x3e;53&#x20;years</bold>
</td>
</tr>
<tr>
<td rowspan="6" align="left">&#x2003;rs3124591, NOTCH1</td>
<td align="center">CC</td>
<td align="char" char="(">13 (0.76)</td>
<td align="char" char="(">70 (0.76)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">CT</td>
<td align="char" char="(">04 (0.24)</td>
<td align="char" char="(">22 (0.24)</td>
<td align="center">1.021 (0.302&#x2013;3.455)</td>
<td align="center">0.00</td>
<td align="char" char=".">0.97280</td>
</tr>
<tr>
<td align="center">TT</td>
<td align="char" char="(">00 (0.00)</td>
<td align="char" char="(">00 (0.00)</td>
<td align="center">0.191 (0.004&#x2013;10.075)</td>
<td align="center">na</td>
<td align="char" char=".">1.00000</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">C</td>
<td align="char" char="(">30 (0.88)</td>
<td align="char" char="(">162 (0.88)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">T</td>
<td align="char" char="(">04 (0.12)</td>
<td align="char" char="(">22 (0.12)</td>
<td align="center">1.019 (0.328&#x2013;3.167)</td>
<td align="center">0.00</td>
<td align="char" char=".">1.00000</td>
</tr>
<tr>
<td rowspan="6" align="left">&#x2003;rs11249433, NOTCH2</td>
<td align="center">GG</td>
<td align="char" char="(">07 (0.13)</td>
<td align="char" char="(">10 (0.112)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">GA</td>
<td align="char" char="(">26 (0.49)</td>
<td align="char" char="(">51 (0.573)</td>
<td align="center">1.373 (0.469&#x2013;4.024)</td>
<td align="center">0.34</td>
<td align="char" char=".">0.56235</td>
</tr>
<tr>
<td align="center">AA</td>
<td align="char" char="(">20 (0.38)</td>
<td align="char" char="(">28 (0.315)</td>
<td align="center">0.980 (0.319&#x2013;3.014)</td>
<td align="center">0.00</td>
<td align="char" char=".">0.97188</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">G</td>
<td align="char" char="(">40 (0.38)</td>
<td align="char" char="(">71 (0.40)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">A</td>
<td align="char" char="(">66 (0.62)</td>
<td align="char" char="(">107 (0.60)</td>
<td align="center">0.913 (0.557&#x2013;1.497)</td>
<td align="center">0.13</td>
<td align="char" char=".">0.71926</td>
</tr>
<tr>
<td rowspan="6" align="left">&#x2003;rs1043994, NOTCH3</td>
<td align="center">GG</td>
<td align="char" char="(">26 (0.54)</td>
<td align="char" char="(">45 (0.52)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">GA</td>
<td align="char" char="(">20 (0.42)</td>
<td align="char" char="(">36 (0.42)</td>
<td align="center">1.040 (0.502&#x2013;2.157)</td>
<td align="center">0.01</td>
<td align="char" char=".">0.91605</td>
</tr>
<tr>
<td align="center">AA</td>
<td align="char" char="(">02 (0.04)</td>
<td align="char" char="(">05 (0.06)</td>
<td align="center">1.444 (0.261&#x2013;7.982)</td>
<td align="center">0.18</td>
<td align="char" char=".">0.67192</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">G</td>
<td align="char" char="(">72 (0.75)</td>
<td align="char" char="(">126 (0.73)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">A</td>
<td align="char" char="(">24 (0.25)</td>
<td align="char" char="(">46 (0.27)</td>
<td align="center">1.095 (0.618&#x2013;1.941)</td>
<td align="center">0.10</td>
<td align="char" char=".">0.75530</td>
</tr>
<tr>
<td rowspan="6" align="left">&#x2003;rs3830041, NOTCH4</td>
<td align="center">CC</td>
<td align="char" char="(">27 (0.51)</td>
<td align="char" char="(">43 (0.483)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">CT</td>
<td align="char" char="(">21 (0.40)</td>
<td align="char" char="(">34 (0.382)</td>
<td align="center">1.017 (0.492&#x2013;2.102)</td>
<td align="center">0.00</td>
<td align="char" char=".">0.96454</td>
</tr>
<tr>
<td align="center">TT</td>
<td align="char" char="(">05 (0.09)</td>
<td align="char" char="(">12 (0.135)</td>
<td align="center">1.507 (0.478&#x2013;4.754)</td>
<td align="center">0.49</td>
<td align="char" char=".">0.48236</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">C</td>
<td align="char" char="(">75 (0.71)</td>
<td align="char" char="(">120 (0.674)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">T</td>
<td align="char" char="(">31 (0.29)</td>
<td align="char" char="(">58 (0.326)</td>
<td align="center">1.169 (0.693&#x2013;1.973)</td>
<td align="center">0.34</td>
<td align="char" char=".">0.55740</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>OR 95% CI, odds ratio and 95% Confidence Interval; na, not analyzable.</p>
</fn>
<fn>
<p>&#x2a; <italic>p</italic>&#x20;&#x2264; 0.05 was considered significant and are depicted in&#x20;bold.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2-2">
<title>Colorectal Cancer</title>
<p>Colorectal cancer cases and controls were segregated according to the median age at the time of disease diagnosis as &#x2264;58&#xa0;years and &#x3e;58&#xa0;years. None of the four SNPs examined in the NOTCH receptors were found to be significantly associated with the age of onset of colorectal cancers (<xref ref-type="table" rid="T5">Table&#x20;5</xref>).</p>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>NOTCH receptors SNPs genotype and allele frequencies in colorectal cancer cases and control population based on&#x20;age.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">SNP ID</th>
<th align="center">Genotype</th>
<th align="center">Controls <italic>n</italic> (frequency)</th>
<th align="center">CRC <italic>n</italic> (frequency)</th>
<th align="center">OR (95%CI)</th>
<th align="center">&#x3c7;<sup>2</sup> -value</th>
<th align="center">
<italic>p</italic>-value&#x2a;</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="7" align="left">
<bold>&#x2264;58&#x20;years</bold>
</td>
</tr>
<tr>
<td rowspan="6" align="left">&#x2003;rs3124591, NOTCH1</td>
<td align="center">CC</td>
<td align="char" char="(">55 (0.76)</td>
<td align="char" char="(">47 (0.77)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">CT</td>
<td align="char" char="(">17 (0.24)</td>
<td align="char" char="(">14 (0.23)</td>
<td align="center">0.964 (0.430&#x2013;2.161)</td>
<td align="center">0.01</td>
<td align="char" char=".">0.92849</td>
</tr>
<tr>
<td align="center">TT</td>
<td align="char" char="(">00 (0.00)</td>
<td align="char" char="(">00 (0.00)</td>
<td align="center">1.168 (0.023&#x2013;60.020)</td>
<td align="center">na</td>
<td align="char" char=".">1.00000</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">C</td>
<td align="char" char="(">127 (0.88)</td>
<td align="char" char="(">108 (0.89)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">T</td>
<td align="char" char="(">17 (0.12)</td>
<td align="char" char="(">14 (0.11)</td>
<td align="center">0.968 (0.456&#x2013;2.055)</td>
<td align="center">0.01</td>
<td align="char" char=".">0.93336</td>
</tr>
<tr>
<td rowspan="6" align="left">&#x2003;rs11249433, NOTCH2</td>
<td align="center">GG</td>
<td align="char" char="(">07 (0.09)</td>
<td align="char" char="(">08 (0.11)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">GA</td>
<td align="char" char="(">36 (0.49)</td>
<td align="char" char="(">36 (0.50)</td>
<td align="center">0.875 (0.287&#x2013;2.667)</td>
<td align="center">0.06</td>
<td align="char" char=".">0.81428</td>
</tr>
<tr>
<td align="center">AA</td>
<td align="char" char="(">31 (0.42)</td>
<td align="char" char="(">28 (0.39)</td>
<td align="center">0.790 (0.254&#x2013;2.461)</td>
<td align="center">0.17</td>
<td align="char" char=".">0.68435</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">G</td>
<td align="char" char="(">50 (0.34)</td>
<td align="char" char="(">52 (0.36)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">A</td>
<td align="char" char="(">98 (0.66)</td>
<td align="char" char="(">92 (0.64)</td>
<td align="center">0.903 (0.558&#x2013;1.461)</td>
<td align="center">0.17</td>
<td align="char" char=".">0.67664</td>
</tr>
<tr>
<td rowspan="6" align="left">&#x2003;rs1043994, NOTCH3</td>
<td align="center">GG</td>
<td align="char" char="(">42 (0.57)</td>
<td align="char" char="(">37 (0.54)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">GA</td>
<td align="char" char="(">29 (0.39)</td>
<td align="char" char="(">32 (0.46)</td>
<td align="center">1.253 (0.641&#x2013;2.446)</td>
<td align="center">0.44</td>
<td align="char" char=".">0.50930</td>
</tr>
<tr>
<td align="center">AA</td>
<td align="char" char="(">03 (0.04)</td>
<td align="char" char="(">00 (0.00)</td>
<td align="center">0.162 (0.008&#x2013;3.237)</td>
<td align="center">2.56</td>
<td align="char" char=".">0.10958</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">G</td>
<td align="char" char="(">113 (0.76)</td>
<td align="char" char="(">106 (0.77)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">A</td>
<td align="char" char="(">35 (0.24)</td>
<td align="char" char="(">32 (0.23)</td>
<td align="center">0.975 (0.564&#x2013;1.686)</td>
<td align="center">0.01</td>
<td align="char" char=".">0.92683</td>
</tr>
<tr>
<td rowspan="6" align="left">&#x2003;rs3830041, NOTCH4</td>
<td align="center">CC</td>
<td align="char" char="(">36 (0.49)</td>
<td align="char" char="(">34 (0.47)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">CT</td>
<td align="char" char="(">31 (0.42)</td>
<td align="char" char="(">27 (0.38)</td>
<td align="center">0.922 (0.459&#x2013;1.852)</td>
<td align="center">0.05</td>
<td align="char" char=".">0.81984</td>
</tr>
<tr>
<td align="center">TT</td>
<td align="char" char="(">07 (0.09)</td>
<td align="char" char="(">11 (0.15)</td>
<td align="center">1.664 (0.578&#x2013;4.789)</td>
<td align="center">0.90</td>
<td align="char" char=".">0.34250</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">C</td>
<td align="char" char="(">103 (0.70)</td>
<td align="char" char="(">95 (0.66)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">T</td>
<td align="char" char="(">45 (0.30)</td>
<td align="char" char="(">49 (0.34)</td>
<td align="center">1.181 (0.722&#x2013;1.930)</td>
<td align="center">0.44</td>
<td align="char" char=".">0.50773</td>
</tr>
<tr>
<td colspan="7" align="left">
<bold>&#x3e;58&#x20;years</bold>
</td>
</tr>
<tr>
<td rowspan="6" align="left">&#x2003;rs3124591, NOTCH1</td>
<td align="center">CC</td>
<td align="char" char="(">27 (0.87)</td>
<td align="char" char="(">27 (0.77)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">CT</td>
<td align="char" char="(">04 (0.13)</td>
<td align="char" char="(">08 (0.23)</td>
<td align="center">2.000 (0.538&#x2013;7.438)</td>
<td align="center">1.09</td>
<td align="char" char=".">0.29538</td>
</tr>
<tr>
<td align="center">TT</td>
<td align="char" char="(">00 (00)</td>
<td align="char" char="(">00 (0.00)</td>
<td align="center">1.000 (0.019&#x2013;52.217)</td>
<td align="center">na</td>
<td align="char" char=".">1.00000</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">C</td>
<td align="char" char="(">58 (0.94)</td>
<td align="char" char="(">62 (0.89)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">T</td>
<td align="char" char="(">04 (0.06)</td>
<td align="char" char="(">08 (0.11)</td>
<td align="center">1.871 (0.535&#x2013;6.547)</td>
<td align="center">0.99</td>
<td align="char" char=".">0.32086</td>
</tr>
<tr>
<td rowspan="6" align="left">&#x2003;rs11249433, NOTCH2</td>
<td align="center">GG</td>
<td align="char" char="(">06 (0.09)</td>
<td align="char" char="(">08 (0.12)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">GA</td>
<td align="char" char="(">34 (0.52)</td>
<td align="char" char="(">36 (0.52)</td>
<td align="center">0.794 (0.250&#x2013;2.527)</td>
<td align="center">0.15</td>
<td align="char" char=".">0.69594</td>
</tr>
<tr>
<td align="center">AA</td>
<td align="char" char="(">25 (0.38)</td>
<td align="char" char="(">25 (0.36)</td>
<td align="center">0.750 (0.227&#x2013;2.477)</td>
<td align="center">0.22</td>
<td align="char" char=".">0.63644</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">G</td>
<td align="char" char="(">46 (0.35)</td>
<td align="char" char="(">52 (0.38)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">A</td>
<td align="char" char="(">84 (0.65)</td>
<td align="char" char="(">86 (0.62)</td>
<td align="center">0.906 (0.551&#x2013;1.490)</td>
<td align="center">0.15</td>
<td align="char" char=".">0.69644</td>
</tr>
<tr>
<td rowspan="6" align="left">&#x2003;rs1043994, NOTCH3</td>
<td align="center">GG</td>
<td align="char" char="(">42 (0.65)</td>
<td align="char" char="(">39 (0.60)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">GA</td>
<td align="char" char="(">23 (0.35)</td>
<td align="char" char="(">24 (0.37)</td>
<td align="center">1.124 (0.548&#x2013;2.306)</td>
<td align="center">0.10</td>
<td align="char" char=".">0.75044</td>
</tr>
<tr>
<td align="center">AA</td>
<td align="char" char="(">00 (00)</td>
<td align="char" char="(">02 (0.03)</td>
<td align="center">5.380 (0.250&#x2013;115.55)</td>
<td align="center">2.10</td>
<td align="char" char=".">0.14736</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">G</td>
<td align="char" char="(">107 (0.82)</td>
<td align="char" char="(">102 (0.78)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">A</td>
<td align="char" char="(">23 (0.18)</td>
<td align="char" char="(">28 (0.22)</td>
<td align="center">1.277 (0.691&#x2013;2.361)</td>
<td align="center">0.61</td>
<td align="char" char=".">0.43486</td>
</tr>
<tr>
<td rowspan="6" align="left">&#x2003;rs3830041, NOTCH4</td>
<td align="center">CC</td>
<td align="char" char="(">33 (0.51)</td>
<td align="char" char="(">41 (0.59)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">CT</td>
<td align="char" char="(">23 (0.35)</td>
<td align="char" char="(">23 (0.33)</td>
<td align="center">0.805 (0.385&#x2013;1.683)</td>
<td align="center">0.33</td>
<td align="char" char=".">0.56389</td>
</tr>
<tr>
<td align="center">TT</td>
<td align="char" char="(">09 (0.14)</td>
<td align="char" char="(">05 (0.07)</td>
<td align="center">0.447 (0.137&#x2013;1.463)</td>
<td align="center">1.83</td>
<td align="char" char=".">0.17616</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">C</td>
<td align="char" char="(">89 (0.68)</td>
<td align="char" char="(">105 (0.76)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">T</td>
<td align="char" char="(">41 (0.32)</td>
<td align="char" char="(">33 (0.24)</td>
<td align="center">0.682 (0.398&#x2013;1.169)</td>
<td align="center">1.95</td>
<td align="char" char=".">0.16287</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CRC, colorectal cancer; OR 95% CI. odds ratio and 95% Confidence Interval; na, not analyzable.</p>
</fn>
<fn>
<p>&#x2a; <italic>p</italic>&#x20;&#x2264; 0.05 was considered significant and are depicted in&#x20;bold.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s3-3">
<title>Association of SNPs in NOTCH Receptors With Colorectal Cancer Based on Gender</title>
<p>In order to evaluate whether gender played any role in the association of NOTCH1-rs3124591, NOTCH2-rs11249433, NOTCH3-rs1043994, and NOTCH4-rs3830041 with colorectal cancers, the study subjects were grouped as males and females for counting the genotype and allele frequencies. The distributions of these frequencies are depicted in <xref ref-type="table" rid="T6">Table&#x20;6</xref>. The rs1043994 SNP in the NOTCH3 receptor showed statistically significant association with colorectal cancers in males. The GA heterozygous males were about 2-fold higher risk of developing CRC relative to those with homozygous GG genotype (OR &#x3d; 1.971, &#x3c7;<sup>2</sup> &#x3d; 4.01, <italic>p</italic>&#x20;&#x3d; 0.04514) (<xref ref-type="table" rid="T6">Table&#x20;6</xref>). The other three SNPs were not associated with CRCs in males. Moreover, we did not observe any of the four SNPs to be associated with CRCs in females in our population.</p>
<table-wrap id="T6" position="float">
<label>TABLE 6</label>
<caption>
<p>NOTCH receptors SNPs genotype and allele frequencies in colorectal cancer cases and control population based on gender.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">SNP ID</th>
<th align="center">Genotype</th>
<th align="center">Controls <italic>n</italic> (frequency)</th>
<th align="center">CRC <italic>n</italic> (frequency)</th>
<th align="center">Or (95%CI)</th>
<th align="center">&#x3c7;<sup>2</sup> -value</th>
<th align="center">
<italic>p</italic>-value&#x2a;</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="7" align="left">
<bold>Male</bold>
</td>
</tr>
<tr>
<td rowspan="6" align="left">&#x2003;rs3124591, NOTCH1</td>
<td align="center">CC</td>
<td align="char" char="(">45 (0.9)</td>
<td align="char" char="(">39 (0.76)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">CT</td>
<td align="char" char="(">05 (0.1)</td>
<td align="char" char="(">12 (0.24)</td>
<td align="center">2.769 (0.896&#x2013;8.555)</td>
<td align="center">3.30</td>
<td align="char" char=".">0.06922</td>
</tr>
<tr>
<td align="center">TT</td>
<td align="char" char="(">00 (00)</td>
<td align="char" char="(">0 (0)</td>
<td align="center">1.152 (0.022&#x2013;59.409)</td>
<td align="center">na</td>
<td align="char" char=".">1.00000</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">C</td>
<td align="char" char="(">95 (0.95)</td>
<td align="char" char="(">90 (0.88)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">T</td>
<td align="char" char="(">05 (0.05)</td>
<td align="char" char="(">12 (0.12)</td>
<td align="center">2.533 (0.858&#x2013;7.478)</td>
<td align="center">3.00</td>
<td align="char" char=".">0.08337</td>
</tr>
<tr>
<td rowspan="6" align="left">&#x2003;rs11249433, NOTCH2</td>
<td align="center">GG</td>
<td align="char" char="(">08 (0.11)</td>
<td align="char" char="(">11 (0.13)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">GA</td>
<td align="char" char="(">35 (0.48)</td>
<td align="char" char="(">41 (0.49)</td>
<td align="center">0.852 (0.308&#x2013;2.354)</td>
<td align="center">0.10</td>
<td align="char" char=".">0.75718</td>
</tr>
<tr>
<td align="center">AA</td>
<td align="char" char="(">30 (0.41)</td>
<td align="char" char="(">31 (0.37)</td>
<td align="center">0.752 (0.266&#x2013;2.126)</td>
<td align="center">0.29</td>
<td align="char" char=".">0.58971</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">G</td>
<td align="char" char="(">51 (0.35)</td>
<td align="char" char="(">63 (0.38)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">A</td>
<td align="char" char="(">95 (0.65)</td>
<td align="char" char="(">103 (0.62)</td>
<td align="center">0.878 (0.553&#x2013;1.394)</td>
<td align="center">0.31</td>
<td align="char" char=".">0.58040</td>
</tr>
<tr>
<td rowspan="6" align="left">&#x2003;rs1043994, NOTCH3</td>
<td align="center">GG</td>
<td align="char" char="(">49 (0.67)</td>
<td align="char" char="(">40 (0.51)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">GA</td>
<td align="char" char="(">23 (0.32)</td>
<td align="char" char="(">37 (0.47)</td>
<td align="center">1.971 (1.011&#x2013;3.841)</td>
<td align="center">4.01</td>
<td align="char" char=".">
<bold>0.04514</bold>
</td>
</tr>
<tr>
<td align="center">AA</td>
<td align="char" char="(">01 (0.01)</td>
<td align="char" char="(">1 (0.01)</td>
<td align="center">1.225 (0.074&#x2013;20.207)</td>
<td align="center">0.02</td>
<td align="char" char=".">0.88698</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">G</td>
<td align="char" char="(">121 (0.83)</td>
<td align="char" char="(">117 (0.75)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">A</td>
<td align="char" char="(">25 (0.17)</td>
<td align="char" char="(">39 (0.25)</td>
<td align="center">1.613 (0.919&#x2013;2.832)</td>
<td align="center">2.80</td>
<td align="char" char=".">0.09417</td>
</tr>
<tr>
<td rowspan="6" align="left">&#x2003;rs3830041, NOTCH4</td>
<td align="center">CC</td>
<td align="char" char="(">39 (0.53)</td>
<td align="char" char="(">45 (0.54)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">CT</td>
<td align="char" char="(">28 (0.38)</td>
<td align="char" char="(">34 (0.41)</td>
<td align="center">1.052 (0.545&#x2013;2.034)</td>
<td align="center">0.02</td>
<td align="char" char=".">0.87927</td>
</tr>
<tr>
<td align="center">TT</td>
<td align="char" char="(">6 (0.08)</td>
<td align="char" char="(">4 (0.05)</td>
<td align="center">0.578 (0.152&#x2013;2.197)</td>
<td align="center">0.66</td>
<td align="char" char=".">0.41672</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">C</td>
<td align="char" char="(">106 (0.73)</td>
<td align="char" char="(">124 (0.75)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">T</td>
<td align="char" char="(">40 (0.27)</td>
<td align="char" char="(">42 (0.25)</td>
<td align="center">0.898 (0.542&#x2013;1.487)</td>
<td align="center">0.18</td>
<td align="char" char=".">0.67470</td>
</tr>
<tr>
<td colspan="7" align="left">
<bold>Female</bold>
</td>
</tr>
<tr>
<td rowspan="6" align="left">&#x2003;rs3124591, NOTCH1</td>
<td align="center">CC</td>
<td align="char" char="(">37 (0.7)</td>
<td align="char" char="(">35 (0.78)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">CT</td>
<td align="char" char="(">16 (0.3)</td>
<td align="char" char="(">10 (0.22)</td>
<td align="center">0.661 (0.265&#x2013;1.650)</td>
<td align="center">0.79</td>
<td align="char" char=".">0.37338</td>
</tr>
<tr>
<td align="center">TT</td>
<td align="char" char="(">0 (0)</td>
<td align="char" char="(">0 (0)</td>
<td align="center">1.056 (0.020&#x2013;54.681)</td>
<td align="center">na</td>
<td align="char" char=".">1.00000</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">C</td>
<td align="char" char="(">90 (0.85)</td>
<td align="char" char="(">80 (0.89)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">T</td>
<td align="char" char="(">16 (0.15)</td>
<td align="char" char="(">10 (0.11)</td>
<td align="center">0.703 (0.302&#x2013;1.638)</td>
<td align="center">0.67</td>
<td align="char" char=".">0.41263</td>
</tr>
<tr>
<td rowspan="6" align="left">&#x2003;rs11249433, NOTCH2</td>
<td align="center">GG</td>
<td align="char" char="(">5 (0.08)</td>
<td align="char" char="(">5 (0.09)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">GA</td>
<td align="char" char="(">35 (0.53)</td>
<td align="char" char="(">31 (0.53)</td>
<td align="center">0.886 (0.234&#x2013;3.351)</td>
<td align="center">0.03</td>
<td align="char" char=".">0.85806</td>
</tr>
<tr>
<td align="center">AA</td>
<td align="char" char="(">26 (0.39)</td>
<td align="char" char="(">22 (0.38)</td>
<td align="center">0.846 (0.216&#x2013;3.308)</td>
<td align="center">0.06</td>
<td align="char" char=".">0.81009</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">G</td>
<td align="char" char="(">45 (0.34)</td>
<td align="char" char="(">41 (0.35)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">A</td>
<td align="char" char="(">87 (0.66)</td>
<td align="char" char="(">75 (0.65)</td>
<td align="center">0.946 (0.560&#x2013;1.598)</td>
<td align="center">0.04</td>
<td align="char" char=".">0.83600</td>
</tr>
<tr>
<td rowspan="6" align="left">&#x2003;rs1043994, NOTCH3</td>
<td align="center">GG</td>
<td align="char" char="(">35 (0.53)</td>
<td align="char" char="(">36 (0.64)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">GA</td>
<td align="char" char="(">29 (0.44)</td>
<td align="char" char="(">19 (0.34)</td>
<td align="center">0.637 (0.303&#x2013;1.338)</td>
<td align="center">1.42</td>
<td align="char" char=".">0.23260</td>
</tr>
<tr>
<td align="center">AA</td>
<td align="char" char="(">2 (0.03)</td>
<td align="char" char="(">1 (0.02)</td>
<td align="center">0.486 (0.042&#x2013;5.606)</td>
<td align="center">0.35</td>
<td align="char" char=".">0.55558</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">G</td>
<td align="char" char="(">99 (0.75)</td>
<td align="char" char="(">91 (0.81)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">A</td>
<td align="char" char="(">33 (0.25)</td>
<td align="char" char="(">21 (0.19)</td>
<td align="center">0.692 (0.374&#x2013;1.283)</td>
<td align="center">1.37</td>
<td align="char" char=".">0.24123</td>
</tr>
<tr>
<td rowspan="6" align="left">&#x2003;rs3830041, NOTCH4</td>
<td align="center">CC</td>
<td align="char" char="(">30 (0.45)</td>
<td align="char" char="(">30 (0.52)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">CT</td>
<td align="char" char="(">26 (0.39)</td>
<td align="char" char="(">16 (0.28)</td>
<td align="center">0.615 (0.276&#x2013;1.373)</td>
<td align="center">1.41</td>
<td align="char" char=".">0.23437</td>
</tr>
<tr>
<td align="center">TT</td>
<td align="char" char="(">10 (0.15)</td>
<td align="char" char="(">12 (0.21)</td>
<td align="center">1.200 (0.450&#x2013;3.197)</td>
<td align="center">0.13</td>
<td align="char" char=".">0.71522</td>
</tr>
<tr>
<td align="center">Allele</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">C</td>
<td align="char" char="(">86 (0.65)</td>
<td align="char" char="(">76 (0.66)</td>
<td align="center">Ref</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="center">T</td>
<td align="char" char="(">46 (0.35)</td>
<td align="char" char="(">40 (0.34)</td>
<td align="center">0.984 (0.583&#x2013;1.662)</td>
<td align="center">0.00</td>
<td align="char" char=".">0.95185</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CRC, colorectal cancer; OR 95% CI, odds ratio and 95% Confidence Interval; na, not analyzable.</p>
</fn>
<fn>
<p>&#x2a; <italic>p</italic>&#x20;&#x2264; 0.05 was considered significant and are depicted in&#x20;bold.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Notch signaling pathway is highly conserved molecular cell signaling pathway which plays important roles in proliferation, differentiation, cell fate specification, homeostasis and angiogenesis. Additionally, notch signaling is considered as one of the most common pathway implicated in cancer metastasis [<xref ref-type="bibr" rid="B26">26</xref>]. Several investigations have led to the conclusion that alterations in notch signaling pathway are associated with the development of various cancers including colon [<xref ref-type="bibr" rid="B15">15</xref>] and breast [<xref ref-type="bibr" rid="B27">27</xref>]. Most of the diseases including cancer are result of the interaction between genetic and environmental factors. A number of studies have indicated that genetic variation contributes in part toward the susceptibility of common diseases such as diabetes and cancer [<xref ref-type="bibr" rid="B28">28</xref>&#x2013;<xref ref-type="bibr" rid="B30">30</xref>]. The identification of genetic variation associated with cancer may assist in revealing the underlying pathophysiological processes in the initiation and progression of the disease. There has been an increased interest in the most common functional germline polymorphisms on clinical outcomes for patients with cancer. The presence of genetic variation in the human genome can be found in different forms and frequencies throughout the genome. Among these forms are single nucleotide polymorphisms which are considered as the main source of genetic variation in human genome and account for about 90 percent of all human genetic variations. They occur roughly every 100&#x2013;300 bases&#x20;[<xref ref-type="bibr" rid="B31">31</xref>].</p>
<p>Several studies have shown that SNPs in NOTCH receptors are linked to risk and prognosis of a number of diseases. For examples, SNPs in NOTCH1 and NOTCH2 are associated with risk of breast carcinoma [<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B22">22</xref>]. Genetic variants in NOTCH3 gene have been shown to be associated with cerebral small vessel disease [<xref ref-type="bibr" rid="B32">32</xref>], while NOTCH4 variants linked to Alzheimer&#x27;s disease [<xref ref-type="bibr" rid="B33">33</xref>]. In the present study, we evaluated for the first time the association of NOTCH1, rs3124591; NOTCH2, rs11249433; NOTCH3, rs1043994, and NOTCH4, rs3830041 SNPs with the susceptibility of breast and colorectal cancers in Saudi population.</p>
<p>In the overall analysis, except for rs11249433 which is in close proximity to NOTCH2 gene that showed significant association with breast cancer, none of the other SNPs were found to confer increased risk either in breast or colorectal cancers in our population. Investigations on the association of NOTCH1 rs3124591, NOTCH3 rs1043994, and NOTCH4 rs3830041 with the risk of human cancers are rare, however, several studies have shown a link between NOTCH2 related rs11249433 and increased risk of breast cancer especially in women of European ancestry [<xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>]. The rs11249433 variant is located in the pericentromeric region at 1p11.2 and NOTCH2, a transmembrane coding gene and FCGR1B (low-affinity Fc gamma receptor family) are the nearest genes to this SNP. Hunter&#x2019;s group conducted a large genome-wide scan plus two stages of follow-up in 10,263 controls and 9,335 cases and found conclusive statistically significant association of NOTCH2 related rs11249433 with breast cancer [<xref ref-type="bibr" rid="B18">18</xref>]. They further investigated 6,386 cases for which estrogen receptor (ER) status was available to reveal that this association was more apparent for ER&#x2b; relative to ER-breast tumor. Similar association of NOTCH2-rs11249433 with ER status was not found in our breast cancer cohort. Since cancer-associated SNPs have been shown to be linked to alterations in gene expression, Prokunina-Olsson and colleagues examined and reported that the risk genotypes of rs11249433 have a positive association with NOTCH2 mRNA expression in TP53 wild-type/ER&#x2b; breast cancers [<xref ref-type="bibr" rid="B19">19</xref>]. Campa et&#x20;al confirmed the association of NOTCH2 rs11249433 with breast cancer risk but did not find statistically significant interaction with nine established risk factors such as age at menarche, parity, age at menopause, use of hormone replacement therapy, family history, height, body mass index, smoking status, and alcohol consumption [<xref ref-type="bibr" rid="B20">20</xref>]. Furthermore, a comprehensive meta-analysis comprising 90,154 cases and 137,238 controls was conducted by Wu et&#x20;al to assess the relationship between the NOTCH2 rs11249433 polymorphism and breast cancer susceptibility. Their analysis showed that rs11249433 polymorphism poses significant risk in Caucasians but not in Africans and East Asians [<xref ref-type="bibr" rid="B21">21</xref>]. The lack of significant association between NOTCH2 rs11249433 and breast cancer risk in Chinese population as well shown by Jiang et&#x20;al suggest ethnic specificity for this locus in conferring disease susceptibility [<xref ref-type="bibr" rid="B34">34</xref>]. Our finding of a significant association of NOTCH2 rs11249433 with the risk of breast cancer suggests that Saudi population may be closer to the Europeans than to Africans or Asians in terms of genetic susceptibility to breast cancer. Moreover, it has been demonstrated that the NOTCH2 rs11249433 exhibited a stronger association with the development of breast cancer especially with ER-positive tumors compared to ER-negative tumors [<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B35">35</xref>]. However, Campa et&#x20;al did not observe similar association of this SNP with risk of breast cancer by ER status [<xref ref-type="bibr" rid="B20">20</xref>] Another study indicated that the NOTCH2 rs11249433 was associated with the risk of breast cancer for patients who are BRCA2 mutation carrier, but was not associated with the risk of breast cancer for BRCA1 mutation carriers [<xref ref-type="bibr" rid="B36">36</xref>]. In our comparison by age at diagnosis, we observed strong association of NOTCH2 rs11249433 with increased risk of early onset of breast cancer. The GA heterozygotes were at about 5-fold increased risk of developing breast cancer at younger age compared to those harboring GG genotype. Similar association of this SNP with risk of breast cancer pertaining the age at diagnosis was not observed in women of European ancestry [<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B20">20</xref>]. This discrepancy could be due to other environmental as well as genetic factors and need further investigations.</p>
<p>Our data showed that rs1043994 in NOTCH3 although not significantly associated with breast or colorectal cancer in the overall analysis was having a statistically significant association with colorectal cancers in males. The GA heterozygote males of this SNP were at approximately 2-fold higher risk of developing colorectal cancers compared to GG homozygotes. Colorectal cancer is the predominant cancer in Saudi Arabian males. As cancer risk can be influenced by differential gene expression pattern between men and women as a result of differences in their hormonal and genetic factors, the association of colorectal cancer in men could be attributed to NOTCH3 - rs1043994 variants. Gender related differences in the prognosis of several cancers including colorectal cancer have been reported [<xref ref-type="bibr" rid="B37">37</xref>&#x2013;<xref ref-type="bibr" rid="B41">41</xref>]. A link between genetic polymorphism and overall survival in colorectal cancer patients based on gender has been demonstrated in earlier studies [<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>]. Yagci et&#x20;al indicated that NOTCH3 rs1043994 is associated with the risk of developing lung cancer in patients of Turkish origin [<xref ref-type="bibr" rid="B24">24</xref>]. Associations of NOTCH3-rs1043994 synonymous variant with lacunar infarction and migraine have also been reported in Chinese and German patients, respectively [<xref ref-type="bibr" rid="B44">44</xref>,&#x20;<xref ref-type="bibr" rid="B45">45</xref>].</p>
<p>In Chinese population, while the association of NOTCH2-rs11249433 and NOTCH3-rs1043994 was lacking with breast cancer risk, NOTCH1-rs3124591 was significantly associated with invasive ductal carcinoma and ductal carcinoma <italic>in situ</italic> [<xref ref-type="bibr" rid="B22">22</xref>]. Furthermore, a positive correlation between TC genotype of NOTCH1-rs3124591 and high notch1 protein expression in ductal carcinoma <italic>in situ</italic> but not in invasive ductal carcinoma was observed [<xref ref-type="bibr" rid="B22">22</xref>]. Our data did not show any significant association of NOTCH1-rs3124591 with either CRC or breast cancer. Besides, NOTCH1-rs3124591 is also significantly correlated with nephrotic syndrome risk and alteration in its sensitivity to hormone in Chinese population [<xref ref-type="bibr" rid="B46">46</xref>]. A recent study by Yu et&#x20;al demonstrated that Chinese patients carrying the TT genotype of NOTCH4-rs3830041 had poorer overall survival in contrast to those carrying TC/CC genotype and concluded that rs3830041 variant is an independent predictive marker for prognosis in hepatitis B virus-related hepatocellular carcinoma patients [<xref ref-type="bibr" rid="B23">23</xref>]. However, we did not find significant association of NOTCH4-rs3830041 with risk of breast or colorectal cancer in our population.</p>
<p>While there are few reports in the literature on the correlation of the four NOTCH receptor SNPs that we examined on breast cancer, this is the first study to screen these SNPs in colorectal cancers. Screening of larger population of different ethnicity validating our findings on the association of NOTCH2-rs11249433 with breast cancer particularly in younger women and NOTCH3-rs1043994 with colorectal cancer in men would prove beneficial in utilizing these variants as genetic markers for early diagnosis and management of these malignancies.</p>
</sec>
</body>
<back>
<sec id="s5">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s10">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Institutional Review Board of King Fahad Medical City, Riyadh, and King Khalid University Hospital, Riyadh. The patients/participants provided their written informed consent to participate in this&#x20;study.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>Conceptualization: ZK; Methodology: JS, IA, and ZK; Formal analysis and investigation: IA, ZK; Resources: MA, NP, AA, NA, MA, AA, OA; Writing - original draft preparation: IA, ZK; Writing - review and editing: ZK; Supervision:&#x20;ZK.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>The authors are grateful to the Deanship of Scientific Research, King Saud University for funding through Vice Deanship of Scientific Research Chairs.</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.por-journal.com/articles/10.3389/pore.2021.616204/full#supplementary-material">https://www.por-journal.com/articles/10.3389/pore.2021.616204/full&#x23;supplementary-material</ext-link>.</p>
<supplementary-material xlink:href="Table1.XLSX" id="SM1" mimetype="application/XLSX" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table2.XLSX" id="SM2" mimetype="application/XLSX" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sung</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Ferlay</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Siegel</surname>
<given-names>RL</given-names>
</name>
<name>
<surname>Laversanne</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Soerjomataram</surname>
<given-names>I</given-names>
</name>
<name>
<surname>Jemal</surname>
<given-names>A</given-names>
</name>
<etal/>
</person-group> <article-title>Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries</article-title>. <source>CA A Cancer J&#x20;Clin</source> (<year>2021</year>). <pub-id pub-id-type="doi">10.3322/caac.21660</pub-id> </citation>
</ref>
<ref id="B2">
<label>2.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Albeshan</surname>
<given-names>SM</given-names>
</name>
<name>
<surname>Mackey</surname>
<given-names>MG</given-names>
</name>
<name>
<surname>Hossain</surname>
<given-names>SZ</given-names>
</name>
<name>
<surname>Alfuraih</surname>
<given-names>AA</given-names>
</name>
<name>
<surname>Brennan</surname>
<given-names>PC</given-names>
</name>
</person-group>. <article-title>Breast cancer epidemiology in Gulf Cooperation Council countries: a regional and international comparison</article-title>. <source>Clin Breast Cancer</source> (<year>2018</year>) <volume>18</volume>(<issue>3</issue>):<fpage>e381</fpage>&#x2013;<lpage>e392</lpage>. <pub-id pub-id-type="doi">10.1016/j.clbc.2017.07.006</pub-id> </citation>
</ref>
<ref id="B3">
<label>3.</label>
<citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Ferlay</surname>
<given-names>JE</given-names>
</name>
<name>
<surname>Lam</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Colombet</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Mery</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Pi&#xf1;eros</surname>
<given-names>M</given-names>
</name>
<etal/>
</person-group> <source>Global cancer observatory: cancer today</source>. <publisher-loc>Lyon, France</publisher-loc>: <publisher-name>International Agency for Research on Cancer</publisher-name> (<year>2020</year>). <comment>Available from: <ext-link ext-link-type="uri" xlink:href="https://gco.iarc.fr/today%20">https://gco.iarc.fr/today</ext-link>
</comment> (<comment>Accessed February 21, 2021</comment>).</citation>
</ref>
<ref id="B4">
<label>4.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lilyquist</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Ruddy</surname>
<given-names>KJ</given-names>
</name>
<name>
<surname>Vachon</surname>
<given-names>CM</given-names>
</name>
<name>
<surname>Couch</surname>
<given-names>FJ</given-names>
</name>
</person-group>. <article-title>Common genetic variation and breast cancer risk-past, present, and future</article-title>. <source>Cancer Epidemiol Biomarkers Prev</source> (<year>2018</year>) <volume>27</volume>(<issue>4</issue>):<fpage>380</fpage>&#x2013;<lpage>94</lpage>. <pub-id pub-id-type="doi">10.1158/1055-9965.EPI-17-1144</pub-id> </citation>
</ref>
<ref id="B5">
<label>5.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kruk</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Czerniak</surname>
<given-names>U</given-names>
</name>
</person-group>. <article-title>Physical activity and its relation to cancer risk: updating the evidence</article-title>. <source>Asian Pac J&#x20;Cancer Prev</source> (<year>2013</year>) <volume>14</volume>(<issue>7</issue>):<fpage>3993</fpage>&#x2013;<lpage>4003</lpage>. <pub-id pub-id-type="doi">10.7314/apjcp.2013.14.7.3993</pub-id> </citation>
</ref>
<ref id="B6">
<label>6.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tse</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Eslick</surname>
<given-names>GD</given-names>
</name>
</person-group>. <article-title>Cruciferous vegetables and risk of colorectal neoplasms: a systematic review and meta-analysis</article-title>. <source>Nutr Cancer</source> (<year>2014</year>) <volume>66</volume>(<issue>1</issue>):<fpage>128</fpage>&#x2013;<lpage>39</lpage>. <pub-id pub-id-type="doi">10.1080/01635581.2014.852686</pub-id> </citation>
</ref>
<ref id="B7">
<label>7.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ruiz-Narv&#xe1;ez</surname>
<given-names>EA</given-names>
</name>
<name>
<surname>Lunetta</surname>
<given-names>KL</given-names>
</name>
<name>
<surname>Hong</surname>
<given-names>C-C</given-names>
</name>
<name>
<surname>Haddad</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Yao</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Cheng</surname>
<given-names>T-YD</given-names>
</name>
<etal/>
</person-group> <article-title>Genetic variation in the insulin, insulin-like growth factor, growth hormone, and leptin pathways in relation to breast cancer in African-American women: the AMBER consortium</article-title>. <source>NPJ&#x20;Breast Cancer</source> (<year>2016</year>) <volume>2</volume>(<issue>1</issue>):<fpage>16034</fpage>. <pub-id pub-id-type="doi">10.1038/npjbcancer.2016.34</pub-id> </citation>
</ref>
<ref id="B8">
<label>8.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fern&#xe1;ndez-Lopez</surname>
<given-names>JC</given-names>
</name>
<name>
<surname>Romero-C&#xf3;rdoba</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Rebollar-Vega</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Alfaro-Ruiz</surname>
<given-names>LA</given-names>
</name>
<name>
<surname>Jim&#xe9;nez-Morales</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Beltr&#xe1;n-Anaya</surname>
<given-names>F</given-names>
</name>
<etal/>
</person-group> <article-title>Population and breast cancer patients&#x27; analysis reveals the diversity of genomic variation of the BRCA genes in the Mexican population</article-title>. <source>Hum Genomics</source> (<year>2019</year>) <volume>13</volume>(<issue>1</issue>):<fpage>3</fpage>. <pub-id pub-id-type="doi">10.1186/s40246-018-0188-9</pub-id> </citation>
</ref>
<ref id="B9">
<label>9.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Civan</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Mukherjee</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Patel</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>H</given-names>
</name>
</person-group>. <article-title>Genetic variations in colorectal cancer risk and clinical outcome</article-title>. <source>World J&#x20;Gastroenterol</source> (<year>2014</year>) <volume>20</volume>(<issue>15</issue>):<fpage>4167</fpage>&#x2013;<lpage>77</lpage>. <pub-id pub-id-type="doi">10.3748/wjg.v20.i15.4167</pub-id> </citation>
</ref>
<ref id="B10">
<label>10.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Phipps</surname>
<given-names>AI</given-names>
</name>
<name>
<surname>Passarelli</surname>
<given-names>MN</given-names>
</name>
<name>
<surname>Chan</surname>
<given-names>AT</given-names>
</name>
<name>
<surname>Harrison</surname>
<given-names>TA</given-names>
</name>
<name>
<surname>Jeon</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Hutter</surname>
<given-names>CM</given-names>
</name>
<etal/>
</person-group> <article-title>Common genetic variation and survival after colorectal cancer diagnosis: a genome-wide analysis</article-title>. <source>Carcinogenesis</source> (<year>2016</year>) <volume>37</volume>(<issue>1</issue>):<fpage>87</fpage>&#x2013;<lpage>95</lpage>. <pub-id pub-id-type="doi">10.1093/carcin/bgv161</pub-id> </citation>
</ref>
<ref id="B11">
<label>11.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Savas</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>G</given-names>
</name>
</person-group>. <article-title>Studying genetic variations in cancer prognosis (and risk): a primer for clinicians</article-title>. <source>Oncologist</source> (<year>2009</year>) <volume>14</volume>(<issue>7</issue>):<fpage>657</fpage>&#x2013;<lpage>66</lpage>. <pub-id pub-id-type="doi">10.1634/theoncologist.2009-0042</pub-id> </citation>
</ref>
<ref id="B12">
<label>12.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bray</surname>
<given-names>SJ</given-names>
</name>
</person-group>. <article-title>Notch signalling: a simple pathway becomes complex</article-title>. <source>Nat Rev Mol Cell Biol</source> (<year>2006</year>) <volume>7</volume>(<issue>9</issue>):<fpage>678</fpage>&#x2013;<lpage>89</lpage>. <pub-id pub-id-type="doi">10.1038/nrm2009</pub-id> </citation>
</ref>
<ref id="B13">
<label>13.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Parr</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Watkins</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Jiang</surname>
<given-names>W</given-names>
</name>
</person-group>. <article-title>The possible correlation of Notch-1 and Notch-2 with clinical outcome and tumour clinicopathological parameters in human breast cancer</article-title>. <source>Int J&#x20;Mol Med</source> (<year>2004</year>) <volume>14</volume>(<issue>5</issue>):<fpage>779</fpage>&#x2013;<lpage>86</lpage>. <pub-id pub-id-type="doi">10.3892/ijmm.14.5.779</pub-id> </citation>
</ref>
<ref id="B14">
<label>14.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mikaelian</surname>
<given-names>I</given-names>
</name>
<name>
<surname>Blades</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Churchill</surname>
<given-names>GA</given-names>
</name>
<name>
<surname>Fancher</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Knowles</surname>
<given-names>BB</given-names>
</name>
<name>
<surname>Eppig</surname>
<given-names>JT</given-names>
</name>
<etal/>
</person-group> <article-title>Proteotypic classification of spontaneous and transgenic mammary neoplasms</article-title>. <source>Breast Cancer Res</source> (<year>2004</year>) <volume>6</volume>(<issue>6</issue>):<fpage>R668</fpage>&#x2013;<lpage>679</lpage>. <pub-id pub-id-type="doi">10.1186/bcr930</pub-id> </citation>
</ref>
<ref id="B15">
<label>15.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Ji</surname>
<given-names>Z-Z</given-names>
</name>
<name>
<surname>Zheng</surname>
<given-names>P-S</given-names>
</name>
</person-group>. <article-title>Notch1 regulates the growth of human colon cancers</article-title>. <source>Cancer</source> (<year>2010</year>) <volume>116</volume>(<issue>22</issue>):<fpage>5207</fpage>&#x2013;<lpage>18</lpage>. <pub-id pub-id-type="doi">10.1002/cncr.25449</pub-id> </citation>
</ref>
<ref id="B16">
<label>16.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Vinson</surname>
<given-names>KE</given-names>
</name>
<name>
<surname>George</surname>
<given-names>DC</given-names>
</name>
<name>
<surname>Fender</surname>
<given-names>AW</given-names>
</name>
<name>
<surname>Bertrand</surname>
<given-names>FE</given-names>
</name>
<name>
<surname>Sigounas</surname>
<given-names>G</given-names>
</name>
</person-group>. <article-title>The Notch pathway in colorectal cancer</article-title>. <source>Int J&#x20;Cancer</source> (<year>2016</year>) <volume>138</volume>(<issue>8</issue>):<fpage>1835</fpage>&#x2013;<lpage>42</lpage>. <pub-id pub-id-type="doi">10.1002/ijc.29800</pub-id> </citation>
</ref>
<ref id="B17">
<label>17.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wu</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>Z</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Ye</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Fan</surname>
<given-names>Q</given-names>
</name>
<etal/>
</person-group> <article-title>NOTCH4 is a novel prognostic marker that correlates with colorectal cancer progression and prognosis</article-title>. <source>J&#x20;Cancer</source> (<year>2018</year>) <volume>9</volume>(<issue>13</issue>):<fpage>2374</fpage>&#x2013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.7150/jca.26359</pub-id> </citation>
</ref>
<ref id="B18">
<label>18.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Thomas</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Jacobs</surname>
<given-names>KB</given-names>
</name>
<name>
<surname>Kraft</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Yeager</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Wacholder</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Cox</surname>
<given-names>DG</given-names>
</name>
<etal/>
</person-group> <article-title>A multistage genome-wide association study in breast cancer identifies two new risk alleles at 1p11.2 and 14q24.1 (RAD51L1)</article-title>. <source>Nat Genet</source> (<year>2009</year>) <volume>41</volume>(<issue>5</issue>):<fpage>579</fpage>&#x2013;<lpage>84</lpage>. <pub-id pub-id-type="doi">10.1038/ng.353</pub-id> </citation>
</ref>
<ref id="B19">
<label>19.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fu</surname>
<given-names>Y-P</given-names>
</name>
<name>
<surname>Edvardsen</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Kaushiva</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Arhancet</surname>
<given-names>JP</given-names>
</name>
<name>
<surname>Howe</surname>
<given-names>TM</given-names>
</name>
<name>
<surname>Kohaar</surname>
<given-names>I</given-names>
</name>
<etal/>
</person-group> <article-title>NOTCH2 in breast cancer: association of SNP rs11249433 with gene expression in ER-positive breast tumors without TP53 mutations</article-title>. <source>Mol Cancer</source> (<year>2010</year>) <volume>9</volume>:<fpage>113</fpage>. <pub-id pub-id-type="doi">10.1186/1476-4598-9-113</pub-id> </citation>
</ref>
<ref id="B20">
<label>20.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Campa</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Kaaks</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Le Marchand</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Haiman</surname>
<given-names>CA</given-names>
</name>
<name>
<surname>Travis</surname>
<given-names>RC</given-names>
</name>
<name>
<surname>Berg</surname>
<given-names>CD</given-names>
</name>
<etal/>
</person-group> <article-title>Interactions between genetic variants and breast cancer risk factors in the breast and prostate cancer cohort consortium</article-title>. <source>JNCI J&#x20;Nat Cancer Inst</source> (<year>2011</year>) <volume>103</volume>(<issue>16</issue>):<fpage>1252</fpage>&#x2013;<lpage>63</lpage>. <pub-id pub-id-type="doi">10.1093/jnci/djr265</pub-id> </citation>
</ref>
<ref id="B21">
<label>21.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wu</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Cai</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>W</given-names>
</name>
</person-group>. <article-title>Association between 1p11-rs11249433 polymorphism and breast cancer susceptibility: evidence from 15&#x20;case-control studies</article-title>. <source>PLoS One</source> (<year>2013</year>) <volume>8</volume>(<issue>8</issue>):<fpage>e72526</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0072526</pub-id> </citation>
</ref>
<ref id="B22">
<label>22.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cao</surname>
<given-names>YW</given-names>
</name>
<name>
<surname>Wan</surname>
<given-names>GX</given-names>
</name>
<name>
<surname>Zhao</surname>
<given-names>CX</given-names>
</name>
<name>
<surname>Hu</surname>
<given-names>JM</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Liang</surname>
<given-names>WH</given-names>
</name>
<etal/>
</person-group> <article-title>Notch1 single nucleotide polymorphism rs3124591 is associated with the risk of development of invasive ductal breast carcinoma in a Chinese population</article-title>. <source>Int J&#x20;Clin Exp Pathol</source> (<year>2014</year>) <volume>7</volume>(<issue>7</issue>):<fpage>4286</fpage>&#x2013;<lpage>94</lpage>. </citation>
</ref>
<ref id="B23">
<label>23.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yu</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Han</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Zhu</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Liao</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Qin</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>C</given-names>
</name>
<etal/>
</person-group> <article-title>Prognostic value of Notch receptors in postsurgical patients with hepatitis B virus-related hepatocellular carcinoma</article-title>. <source>Cancer Med</source> (<year>2017</year>) <volume>6</volume>(<issue>7</issue>):<fpage>1587</fpage>&#x2013;<lpage>600</lpage>. <pub-id pub-id-type="doi">10.1002/cam4.1077</pub-id> </citation>
</ref>
<ref id="B24">
<label>24.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yagci</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Degirmenci</surname>
<given-names>I</given-names>
</name>
<name>
<surname>Ozbayer</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Ak</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Saydam</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Metintas</surname>
<given-names>M</given-names>
</name>
</person-group>. <article-title>Common variants rs3815188 and rs1043994 on Notch3 gene confer susceptibility to lung cancer: a hospital-based case-control study</article-title>. <source>J&#x20;Environ Pathol Toxicol Oncol</source> (<year>2019</year>) <volume>38</volume>(<issue>1</issue>):<fpage>61</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1615/JEnvironPatholToxicolOncol.2018028403</pub-id> </citation>
</ref>
<ref id="B25">
<label>25.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Livak</surname>
<given-names>KJ</given-names>
</name>
</person-group>. <article-title>Allelic discrimination using fluorogenic probes and the 5&#x27; nuclease assay</article-title>. <source>Genet Anal</source> (<year>1999</year>) <volume>14</volume>(<issue>5-6</issue>):<fpage>143</fpage>&#x2013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1016/s1050-3862(98)00019-9</pub-id> </citation>
</ref>
<ref id="B26">
<label>26.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Venkatesh</surname>
<given-names>V</given-names>
</name>
<name>
<surname>Nataraj</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Thangaraj</surname>
<given-names>GS</given-names>
</name>
<name>
<surname>Karthikeyan</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Gnanasekaran</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Kaginelli</surname>
<given-names>SB</given-names>
</name>
<etal/>
</person-group> <article-title>Targeting Notch signalling pathway of cancer stem cells</article-title>. <source>Stem Cel Investig.</source> (<year>2018</year>) <volume>5</volume>:<fpage>5</fpage>. <pub-id pub-id-type="doi">10.21037/sci.2018.02.02</pub-id> </citation>
</ref>
<ref id="B27">
<label>27.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zardawi</surname>
<given-names>SJ</given-names>
</name>
<name>
<surname>Zardawi</surname>
<given-names>I</given-names>
</name>
<name>
<surname>McNeil</surname>
<given-names>CM</given-names>
</name>
<name>
<surname>Millar</surname>
<given-names>EKA</given-names>
</name>
<name>
<surname>McLeod</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Morey</surname>
<given-names>AL</given-names>
</name>
<etal/>
</person-group> <article-title>High Notch1 protein expression is an early event in breast cancer development and is associated with the HER-2 molecular subtype</article-title>. <source>Histopathology</source> (<year>2010</year>) <volume>56</volume>(<issue>3</issue>):<fpage>286</fpage>&#x2013;<lpage>96</lpage>. <pub-id pub-id-type="doi">10.1111/j.1365-2559.2009.03475.x</pub-id> </citation>
</ref>
<ref id="B28">
<label>28.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hanahan</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Weinberg</surname>
<given-names>RA</given-names>
</name>
</person-group>. <article-title>The hallmarks of cancer</article-title>. <source>Cell</source> (<year>2000</year>) <volume>100</volume>(<issue>1</issue>):<fpage>57</fpage>&#x2013;<lpage>70</lpage>. <pub-id pub-id-type="doi">10.1016/s0092-8674(00)81683-9</pub-id> </citation>
</ref>
<ref id="B29">
<label>29.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Schmith</surname>
<given-names>VD</given-names>
</name>
<name>
<surname>Campbell</surname>
<given-names>DA</given-names>
</name>
<name>
<surname>Sehgal</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Anderson</surname>
<given-names>WH</given-names>
</name>
<name>
<surname>Burns</surname>
<given-names>DK</given-names>
</name>
<name>
<surname>Middleton</surname>
<given-names>LT</given-names>
</name>
<etal/>
</person-group> <article-title>Pharmacogenetics and disease genetics of complex diseases</article-title>. <source>Cell Mol Life Sci (CMLS)</source> (<year>2003</year>) <volume>60</volume>(<issue>8</issue>):<fpage>1636</fpage>&#x2013;<lpage>46</lpage>. <pub-id pub-id-type="doi">10.1007/s00018-003-2369-4</pub-id> </citation>
</ref>
<ref id="B30">
<label>30.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Eccles</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Tapper</surname>
<given-names>W</given-names>
</name>
</person-group>. <article-title>The influence of common polymorphisms on breast cancer</article-title>. <source>Cancer Treat Res</source> (<year>2010</year>) <volume>155</volume>:<fpage>15</fpage>&#x2013;<lpage>32</lpage>. <pub-id pub-id-type="doi">10.1007/978-1-4419-6033-7_2</pub-id> </citation>
</ref>
<ref id="B31">
<label>31.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Talseth-Palmer</surname>
<given-names>BA</given-names>
</name>
<name>
<surname>Scott</surname>
<given-names>RJ</given-names>
</name>
</person-group>. <article-title>Genetic variation and its role in malignancy</article-title>. <source>Int J&#x20;Biomed Sci</source> (<year>2011</year>) <volume>7</volume>(<issue>3</issue>):<fpage>158</fpage>&#x2013;<lpage>71</lpage>. </citation>
</ref>
<ref id="B32">
<label>32.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Schmidt</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Zeginigg</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Wiltgen</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Freudenberger</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Petrovic</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Cavalieri</surname>
<given-names>M</given-names>
</name>
<etal/>
</person-group> <article-title>Genetic variants of the NOTCH3 gene in the elderly and magnetic resonance imaging correlates of age-related cerebral small vessel disease</article-title>. <source>Brain</source> (<year>2011</year>) <volume>134</volume>(<issue>Pt 11</issue>):<fpage>3384</fpage>&#x2013;<lpage>97</lpage>. <pub-id pub-id-type="doi">10.1093/brain/awr252</pub-id> </citation>
</ref>
<ref id="B33">
<label>33.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shibata</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Ohnuma</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Higashi</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Higashi</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Usui</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Ohkubo</surname>
<given-names>T</given-names>
</name>
<etal/>
</person-group> <article-title>Genetic association between Notch4 polymorphisms and Alzheimer&#x2019;s disease in the Japanese population</article-title>. <source>J&#x20;Gerontol Ser A: Biol Sci Med Sci</source> (<year>2007</year>) <volume>62</volume>(<issue>4</issue>):<fpage>350</fpage>&#x2013;<lpage>1</lpage>. <pub-id pub-id-type="doi">10.1093/gerona/62.4.350</pub-id> </citation>
</ref>
<ref id="B34">
<label>34.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jiang</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Shen</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>Xa.</given-names>
</name>
<name>
<surname>Dai</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Jin</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Qin</surname>
<given-names>Z</given-names>
</name>
<etal/>
</person-group> <article-title>Genetic variants at 1p11.2 and breast cancer risk: a two-stage study in Chinese women</article-title>. <source>PLoS One</source> (<year>2011</year>) <volume>6</volume>(<issue>6</issue>):<fpage>e21563</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0021563</pub-id> </citation>
</ref>
<ref id="B35">
<label>35.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Figueroa</surname>
<given-names>JD</given-names>
</name>
<name>
<surname>Garcia-Closas</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Humphreys</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Platte</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Hopper</surname>
<given-names>JL</given-names>
</name>
<name>
<surname>Southey</surname>
<given-names>MC</given-names>
</name>
<etal/>
</person-group> <article-title>Associations of common variants at 1p11.2 and 14q24.1 (RAD51L1) with breast cancer risk and heterogeneity by tumor subtype: findings from the Breast Cancer Association Consortium</article-title>. <source>Hum Mol Genet</source> (<year>2011</year>) <volume>20</volume>(<issue>23</issue>):<fpage>4693</fpage>&#x2013;<lpage>706</lpage>. <pub-id pub-id-type="doi">10.1093/hmg/ddr368</pub-id> </citation>
</ref>
<ref id="B36">
<label>36.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Antoniou</surname>
<given-names>AC</given-names>
</name>
<name>
<surname>Kartsonaki</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Sinilnikova</surname>
<given-names>OM</given-names>
</name>
<name>
<surname>Soucy</surname>
<given-names>P</given-names>
</name>
<name>
<surname>McGuffog</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Healey</surname>
<given-names>S</given-names>
</name>
<etal/>
</person-group> <article-title>Common alleles at 6q25.1 and 1p11.2 are associated with breast cancer risk for BRCA1 and BRCA2 mutation carriers</article-title>. <source>Hum Mol Genet</source> (<year>2011</year>) <volume>20</volume>(<issue>16</issue>):<fpage>3304</fpage>&#x2013;<lpage>21</lpage>. <pub-id pub-id-type="doi">10.1093/hmg/ddr226</pub-id> </citation>
</ref>
<ref id="B37">
<label>37.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Smith</surname>
<given-names>RE</given-names>
</name>
<name>
<surname>Colangelo</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Wieand</surname>
<given-names>HS</given-names>
</name>
<name>
<surname>Begovic</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Wolmark</surname>
<given-names>N</given-names>
</name>
</person-group>. <article-title>Randomized trial of adjuvant therapy in colon carcinoma: 10-year results of NSABP protocol C-01</article-title>. <source>J&#x20;Nat Cancer Inst</source> (<year>2004</year>) <volume>96</volume>(<issue>15</issue>):<fpage>1128</fpage>&#x2013;<lpage>32</lpage>. <pub-id pub-id-type="doi">10.1093/jnci/djh220</pub-id> </citation>
</ref>
<ref id="B38">
<label>38.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Simon</surname>
<given-names>MS</given-names>
</name>
<name>
<surname>Chlebowski</surname>
<given-names>RT</given-names>
</name>
<name>
<surname>Wactawski-Wende</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Johnson</surname>
<given-names>KC</given-names>
</name>
<name>
<surname>Muskovitz</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Kato</surname>
<given-names>I</given-names>
</name>
<etal/>
</person-group> <article-title>Estrogen plus progestin and colorectal cancer incidence and mortality</article-title>. <source>J&#x20;Clin Oncol</source> (<year>2012</year>) <volume>30</volume>(<issue>32</issue>):<fpage>3983</fpage>&#x2013;<lpage>90</lpage>. <pub-id pub-id-type="doi">10.1200/JCO.2012.42.7732</pub-id> </citation>
</ref>
<ref id="B39">
<label>39.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Majek</surname>
<given-names>O</given-names>
</name>
<name>
<surname>Gondos</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Jansen</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Emrich</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Holleczek</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Katalinic</surname>
<given-names>A</given-names>
</name>
<etal/>
</person-group> <article-title>Sex differences in colorectal cancer survival: population-based analysis of 164,996 colorectal cancer patients in Germany</article-title>. <source>PLoS One</source> (<year>2013</year>) <volume>8</volume>(<issue>7</issue>):<fpage>e68077</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0068077</pub-id> </citation>
</ref>
<ref id="B40">
<label>40.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lucca</surname>
<given-names>I</given-names>
</name>
<name>
<surname>Klatte</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Fajkovic</surname>
<given-names>H</given-names>
</name>
<name>
<surname>de Martino</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Shariat</surname>
<given-names>SF</given-names>
</name>
</person-group>. <article-title>Gender differences in incidence and outcomes of urothelial and kidney cancer</article-title>. <source>Nat Rev Urol</source> (<year>2015</year>) <volume>12</volume>(<issue>10</issue>):<fpage>585</fpage>&#x2013;<lpage>92</lpage>. <pub-id pub-id-type="doi">10.1038/nrurol.2015.232</pub-id> </citation>
</ref>
<ref id="B41">
<label>41.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yoshida</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Murayama</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Sato</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Suzuki</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Saito</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Nomura</surname>
<given-names>Y</given-names>
</name>
</person-group>. <article-title>Gender differences in long-term survival after surgery for non-small cell lung cancer</article-title>. <source>Thorac Cardiovasc Surg</source> (<year>2016</year>) <volume>64</volume>(<issue>6</issue>):<fpage>507</fpage>&#x2013;<lpage>14</lpage>. <pub-id pub-id-type="doi">10.1055/s-0035-1558995</pub-id> </citation>
</ref>
<ref id="B42">
<label>42.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Press</surname>
<given-names>OA</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Gordon</surname>
<given-names>MA</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Lurje</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Iqbal</surname>
<given-names>S</given-names>
</name>
<etal/>
</person-group> <article-title>Gender-related survival differences associated with EGFR polymorphisms in metastatic colon cancer</article-title>. <source>Cancer Res</source> (<year>2008</year>) <volume>68</volume>(<issue>8</issue>):<fpage>3037</fpage>&#x2013;<lpage>42</lpage>. <pub-id pub-id-type="doi">10.1158/0008-5472.CAN-07-2718</pub-id> </citation>
</ref>
<ref id="B43">
<label>43.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Garufi</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Giacomini</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Torsello</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Sperduti</surname>
<given-names>I</given-names>
</name>
<name>
<surname>Melucci</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Mottolese</surname>
<given-names>M</given-names>
</name>
<etal/>
</person-group> <article-title>Gender effects of single nucleotide polymorphisms and miRNAs targeting clock-genes in metastatic colorectal cancer patients (mCRC)</article-title>. <source>Sci Rep</source> (<year>2016</year>) <volume>6</volume>:<fpage>34006</fpage>. <pub-id pub-id-type="doi">10.1038/srep34006</pub-id> </citation>
</ref>
<ref id="B44">
<label>44.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Schwaag</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Evers</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Schirmacher</surname>
<given-names>A</given-names>
</name>
<name>
<surname>St&#xf6;gbauer</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Ringelstein</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Kuhlenb&#xe4;umer</surname>
<given-names>G</given-names>
</name>
</person-group>. <article-title>Genetic variants of the NOTCH3 gene in migraine-A mutation analysis and association study</article-title>. <source>Cephalalgia</source> (<year>2006</year>) <volume>26</volume>(<issue>2</issue>):<fpage>158</fpage>&#x2013;<lpage>61</lpage>. <pub-id pub-id-type="doi">10.1111/j.1468-2982.2005.01007.x</pub-id> </citation>
</ref>
<ref id="B45">
<label>45.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Huang</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>W</given-names>
</name>
</person-group>. <article-title>Association of Notch3&#x20;single-nucleotide polymorphisms and lacunar infarctions in patients</article-title>. <source>Exp Ther Med</source> (<year>2016</year>) <volume>11</volume>(<issue>1</issue>):<fpage>28</fpage>&#x2013;<lpage>32</lpage>. <pub-id pub-id-type="doi">10.3892/etm.2015.2898</pub-id> </citation>
</ref>
<ref id="B46">
<label>46.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yang</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Hong</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Ma</surname>
<given-names>Z</given-names>
</name>
</person-group>. <article-title>Correlation between single-nucleotide polymorphisms within miR-30a and related target genes and risk or prognosis of nephrotic syndrome</article-title>. <source>DNA Cell Biol</source> (<year>2018</year>) <volume>37</volume>(<issue>3</issue>):<fpage>233</fpage>&#x2013;<lpage>43</lpage>. <pub-id pub-id-type="doi">10.1089/dna.2017.4024</pub-id> </citation>
</ref>
</ref-list>
</back>
</article>