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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article">
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Explor Target Antitumor Ther</journal-id>
<journal-id journal-id-type="publisher-id">ETAT</journal-id>
<journal-title-group>
<journal-title>Exploration of Targeted Anti-tumor Therapy</journal-title>
</journal-title-group>
<issn pub-type="epub">2692-3114</issn>
<publisher>
<publisher-name>Open Exploration Publishing</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.37349/etat.2025.1002295</article-id>
<article-id pub-id-type="manuscript">1002295</article-id>
<article-categories>
<subj-group>
<subject>Original Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Genomic alterations in the WNT/β-catenin pathway and resistance of colorectal cancer cells to pathway-targeting therapies</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9301-5951</contrib-id>
<name>
<surname>Voutsadakis</surname>
<given-names>Ioannis A.</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role content-type="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing—original draft</role>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing—review &amp; editing</role>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="I2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="cor1">
<sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="editor">
<name>
<surname>Normanno</surname>
<given-names>Nicola</given-names>
</name>
<role>Academic Editor</role>
<aff>IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Italy</aff>
</contrib>
</contrib-group>
<aff id="I1">
<sup>1</sup>Algoma District Cancer Program, Sault Area Hospital, Sault Ste. Marie, ON P6B 0A8, Canada</aff>
<aff id="I2">
<sup>2</sup>Section of Internal Medicine, Division of Clinical Sciences, Northern Ontario School of Medicine, Sudbury, ON P3E 2C6, Canada</aff>
<author-notes>
<corresp id="cor1">
<bold>
<sup>*</sup>Correspondence:</bold> Ioannis A. Voutsadakis, Algoma District Cancer Program, Sault Area Hospital, 750 Great Northern Road, Sault Ste. Marie, ON P6B 0A8, Canada. <email>ivoutsadakis@nosm.ca</email></corresp>
</author-notes>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>25</day>
<month>02</month>
<year>2025</year>
</pub-date>
<volume>6</volume>
<elocation-id>1002295</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>10</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>01</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>© The Author(s) 2025.</copyright-statement>
<license xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>This is an Open Access article licensed under a Creative Commons Attribution 4.0 International License (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Aim:</title>
<p id="absp-1">Colorectal cancer is the most prevalent gastrointestinal malignancy with limited therapeutic options in the metastatic setting. The WNT/β-catenin/adenomatous polyposis coli (APC) pathway is commonly deregulated in the disease and presents a rational target for therapeutic exploitation.</p>
</sec>
<sec>
<title>Methods:</title>
<p id="absp-2">The publicly available genomic data from the colorectal cancer cohort of the Cancer Genome Atlas (TCGA) were used to define groups of colorectal cancers with alterations in <italic>APC</italic> or other key genes of the WNT/β-catenin/APC pathway and to identify genomic characteristics of interest in each group. In vitro sensitivity data for drugs targeting the pathway were compiled from the Genomics of Drug Sensitivity in Cancer (GDSC) project.</p>
</sec>
<sec>
<title>Results:</title>
<p id="absp-3">Three-fourths of colorectal cancers possessed <italic>APC</italic> alterations and about one in four of these cases possessed also concomitant alterations in other genes of the WNT/β-catenin/APC pathway, including <italic>RNF43</italic>, <italic>CTNNB1</italic>, and <italic>TCF7L2</italic>. Colorectal cancers with alterations in one or more of the three genes of the WNT/β-catenin pathway, <italic>RNF43</italic>, <italic>CTNNB1</italic>, and <italic>TCF7L2</italic>, in the absence of <italic>APC</italic> alterations, were frequently microsatellite instability (MSI) high and had high tumor mutation burden (TMB). Cancers with these same alterations in the three genes with or without <italic>APC</italic> alterations presented a high frequency of mutations in receptor tyrosine kinases, PI3K/AKT pathway genes, and DNA damage response genes. Cell lines without mutations in WNT/β-catenin/APC pathway components displayed numerically greater sensitivity to inhibitors of the pathway in vitro.</p>
</sec>
<sec>
<title>Conclusions:</title>
<p id="absp-4">Groups of colorectal cancers differing in WNT/β-catenin/APC pathway alterations present diverse genomic landscapes that could have therapeutic implications for the rational development of inhibitors of the pathway.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Canonical WNT pathway</kwd>
<kwd>
<italic>RNF43</italic>
</kwd>
<kwd>
<italic>CTNNB1</italic>
</kwd>
<kwd>
<italic>TCF7L2</italic>
</kwd>
<kwd>treatment resistance</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p id="p-1">Colorectal cancer represents the most prevalent gastrointestinal malignancy in Western countries and one of the most lethal neoplasms globally [<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>]. Metastatic disease can be effectively palliated by chemotherapy treatments, which may also prolong the survival of responding patients [<xref ref-type="bibr" rid="B3">3</xref>]. Moreover, progress in the genomic characterization of colorectal cancers has led to effective targeted therapies for specific sub-sets of colorectal cancers possessing targetable alterations [<xref ref-type="bibr" rid="B4">4</xref>–<xref ref-type="bibr" rid="B7">7</xref>]. For example, checkpoint inhibitor immunotherapy is effective in mismatch repair (MMR) deficient colorectal cancers [<xref ref-type="bibr" rid="B4">4</xref>]. Colorectal cancers with V600E <italic>BRAF</italic> mutations may be treated with combinations of small molecule <italic>BRAF</italic> inhibitors and anti-EGFR monoclonal antibodies and the less common HER2 over-expressing colorectal cancers may be treated with drugs targeting this alteration [<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>]. The majority of metastatic colorectal cancer patients who bear MMR proficient tumors or tumors with <italic>KRAS</italic> mutations (besides <italic>KRAS G12C</italic>) have few options available besides chemotherapy and anti-angiogenic agents [<xref ref-type="bibr" rid="B8">8</xref>].</p>
<p id="p-2">Besides the receptor tyrosine kinase/KRAS/BRAF/MEK pathway, other pathways frequently deregulated in colorectal cancers include p53, the TGFβ/SMAD cascade, and the WNT/β-catenin/adenomatous polyposis coli (APC) pathway, which is most commonly activated through mutations in tumor suppressor <italic>APC</italic> [<xref ref-type="bibr" rid="B9">9</xref>]. All these frequently altered pathways are currently not targeted clinically but represent potential therapeutic opportunities in colorectal cancer given their prevalence and pathogenic involvement in the disease [<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>]. Inhibition of the aberrantly activated WNT/β-catenin/APC pathway could be the most attractive therapeutic target, as mutations of <italic>APC</italic> are present in up to three-fourths of colorectal cancers and remaining cases have common mutations in other components of the pathway [<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>]. <italic>APC</italic> is a regulator of the assembly of the β-catenin destruction complex, which promotes β-catenin phosphorylation and ubiquitination and leads to its proteasome degradation [<xref ref-type="bibr" rid="B14">14</xref>]. Mutations in <italic>APC</italic> promote β-catenin stabilization and signaling even in the absence of external signals for the activation of the pathway [<xref ref-type="bibr" rid="B15">15</xref>]. Other mutations activating the WNT/β-catenin/APC pathway occur less frequently in colorectal cancers, but they may also produce aberrant activation. These include activating mutations in <italic>CTNNB1</italic> gene encoding for β-catenin, inactivating mutations of ubiquitin ligase RNF43, which is a regulator of the abundance of Frizzled receptors of the pathway, and activating mutations of <italic>TCF7L2</italic>, encoding for the β-catenin transcription co-factor TCF4 [<xref ref-type="bibr" rid="B12">12</xref>]. In the current investigation, the landscapes of colorectal cancers with mutations in the WNT/β-catenin/APC pathway are elucidated and therapeutic implications are explored based on in vitro cell line data, as well as knock down and knock out arrays.</p>
</sec>
<sec id="s2">
<title>Materials and methods</title>
<sec id="t2-1">
<title>Colorectal cancer cohort</title>
<p id="p-3">Clinical and genomic data of patients with colorectal cancer were extracted from the colorectal cancer cohort of the Cancer Genome Atlas (TCGA) [<xref ref-type="bibr" rid="B12">12</xref>]. The cohort includes a total of 594 patients, of whom 534 patients were profiled for mutations. TCGA used whole exome sequencing for the genomic analyses. In addition to mutations, TCGA provided analyses of copy number alterations and structural variants. Single nucleotide mutation calling was conducted with input from various pipelines [<xref ref-type="bibr" rid="B16">16</xref>]. Copy number alterations were analyzed in TCGA studies with the GISTIC (Genomic Identification of Significant Targets in Cancer) algorithm, which assigns a score of 2 or above in genes with putative amplification [<xref ref-type="bibr" rid="B17">17</xref>]. For quantification of chromosomal instability (CIN), TCGA used a score (aneuploidy score, AS) which was calculated in each sample as the sum of the number of chromosome arms in the sample that had copy number gains or losses. For the calculation of AS, chromosome arms were defined as copy number altered if more than 80% of their length contained somatic copy number alterations. In contrast, chromosome arms with somatic copy number alterations extending from 20% to 80% of their length were considered indeterminate and chromosome arms with somatic copy number alterations in less than 20% of their length were considered not altered. For the calculation of the AS from Affymetrix 6.0 SNP arrays an algorithm called ABSOLUTE was used in TCGA [<xref ref-type="bibr" rid="B18">18</xref>].</p>
</sec>
<sec id="t2-2">
<title>Colorectal cancer cell lines</title>
<p id="p-4">The Cancer Cell Line Encyclopedia (CCLE) is an extensive collection of cancer cell lines procured from various agencies and analyzed using whole exome sequencing [<xref ref-type="bibr" rid="B19">19</xref>]. Similar to TCGA, the determination of copy number alterations in the CCLE collection was performed with the GISTIC algorithm [<xref ref-type="bibr" rid="B17">17</xref>]. Data on drug sensitivity of cell lines from colorectal cancer with APC and other WNT/β-catenin pathway mutations were obtained from the Genomics of Drug Sensitivity in Cancer (GDSC) dataset (<uri xlink:href="http://www.cancerrxgene.org">http://www.cancerrxgene.org</uri>) [<xref ref-type="bibr" rid="B20">20</xref>]. The GDSC project contains two experimental datasets, GDSC1 and GDSC2, that differ in the experimental conditions used. GDSC1 experiments were performed between 2009 and 2015. These experiments used media alone in the negative control cell lines not exposed to drugs. The most recent dataset GDSC2 performed after 2015 and used in the current study employed media with vehicle (DMSO, dimethylsulfoxide) in the negative controls. Dependencies on knock down or knock out of specific genes in colorectal cancer cell lines with APC and other WNT/β-catenin pathway mutations were obtained from the DepMap portal that contains data from RNA interference (RNAi) arrays and CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) arrays of cell lines from the CCLE collection [<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>]. CRISPR and RNAi arrays identify essential genes that are important for the survival of assayed cell lines and, as a result, the absence of these essential genes has a significant survival and proliferation effect in vitro [<xref ref-type="bibr" rid="B23">23</xref>–<xref ref-type="bibr" rid="B25">25</xref>]. The genes and dependencies discovered with the two array methodologies do not completely overlap, as the depth of suppression differs. RNAi experiments in DepMap were from project Achilles which used the DEMETER algorithm for analysis [<xref ref-type="bibr" rid="B24">24</xref>]. CRISPR arrays in DepMap were from project SCORE containing 323 cancer cell lines from various cancers and a library of 18,009 targeted genes [<xref ref-type="bibr" rid="B26">26</xref>]. Computational modeling of experiments in SCORE was performed with the CERES and the CHRONOS algorithms [<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>].</p>
<p id="p-5">Interrogation of both TCGA cohort and colorectal cancer cell lines at the individual case and cell line level was performed online at the cBioPortal for Cancer Genomics platform (cBioportal, <uri xlink:href="http://www.cbioportal.org">http://www.cbioportal.org</uri>). cBioportal is a site containing genomic and associated clinical data from publicly available studies, maintained by Memorial Sloan Kettering Cancer Center (MSKCC) and other academic institutions [<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>]. Two groups of alterations in the WNT/β-catenin pathway, the first consisting of <italic>APC</italic> alterations and the second consisting of alterations in three other WNT/β-catenin pathway genes (<italic>RNF43</italic>, <italic>CTNNB1</italic>, and <italic>TCF7L2</italic>) were considered in the TCGA cohort and groups of patients were constructed in a 2 by 2 manner resulting in a total of four groups.</p>
<p id="p-6">Statistical comparisons of categorical and continuous data were carried out with the Fisher exact test or the <italic>χ</italic><sup>2</sup>-test and the <italic>t</italic>-test or ANOVA. All statistical comparisons were considered significant if <italic>P</italic> &lt; 0.05.</p>
</sec>
</sec>
<sec id="s3">
<title>Results</title>
<sec id="t3-1">
<title>Prevalence and clinical comparison in the four groups</title>
<p id="p-7">The frequently altered colorectal cancer tumor suppressor, <italic>APC</italic> showed alterations (most commonly mutations and a small number of deletions) in 395 of the 534 cases (74%) in the colorectal cancer cohort of TCGA with mutation data. Of the <italic>APC</italic> altered cases, 95 cases (17.8% of the entire cohort) possessed also concomitant alterations (mostly mutations and a small number of amplifications or deletions) in one or more of three other WNT/β-catenin pathway genes, <italic>RNF43</italic>, <italic>CTNNB1</italic>, and <italic>TCF7L2</italic> (termed quadruple altered cohort) and 300 cases (56.2% of the entire cohort) had no alterations in these three genes (termed <italic>APC</italic> only altered cohort). Colorectal cancers without <italic>APC</italic> alterations constituted 26% of the cases in the colorectal cancer TCGA cohort and among them, 44 cases (8.2% of the entire cohort) had alterations in <italic>RNF43</italic>, <italic>CTNNB1</italic>, or <italic>TCF7L2</italic> (termed triple altered cohort) and 95 cases (17.8% of the entire cohort) had no alterations in <italic>RNF43</italic>, <italic>CTNNB1</italic>, and <italic>TCF7L2</italic> (quadruple wild type cohort). The four groups did not differ significantly in their average age, percentage of older (above 65 years old) patients, the distribution of sexes, or the stage of colorectal cancer at diagnosis (<xref ref-type="table" rid="t1">Table 1</xref>). The majority of cancers in the triple altered cohort (93.2%) were located in the colon and only 6.8% of those cancers were rectal, while in the three other groups, 25% to 30% of the cases were rectal (<italic>χ</italic><sup>2</sup>-test <italic>P</italic> = 0.01, <xref ref-type="table" rid="t1">Table 1</xref>). Significant differences were also observed between the groups in their genomic characteristics (<xref ref-type="table" rid="t2">Table 2</xref>). The triple altered group had a majority (60%) of microsatellite instability (MSI) cases, which were less frequent in the other cohorts (22% in the quadruple altered and quadruple wild type cohorts and only 3.2% in the <italic>APC</italic> only altered cohort). Chromosome instability (CIN), on the other hand, was more prevalent in the <italic>APC</italic> only altered cohort (83% of cases), followed by the quadruple wild type cohort (66% of cases) and the quadruple altered cohort (53.5% of cases), while the triple altered group presented the lowest CIN prevalence (35% of cases). Consistent with the genomic sub-type prevalence, the triple altered group had the highest frequency of high tumor mutation burden (TMB) (above 10 mutations/Mb) and the highest frequency of low AS and FGA scores compared with the three other groups (<xref ref-type="table" rid="t2">Table 2</xref>).</p>
<table-wrap id="t1">
<label>Table 1</label>
<caption>
<p id="t1-p-1">
<bold>Characteristics of colorectal cancers with <italic>APC</italic>, <italic>RNF43</italic>, <italic>CTNNB1</italic>, or <italic>TCF7L2</italic> alterations from the Cancer Genome Atlas (TCGA)</bold>
</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>
<bold>Characteristic</bold>
</th>
<th>
<bold>Entire cohort (<italic>n</italic> = 594)</bold>
</th>
<th>
<bold>Quadruple altered (<italic>n</italic> = 95)</bold>
</th>
<th>
<bold>
<italic>APC</italic> only altered (<italic>n</italic> = 300)</bold>
</th>
<th>
<bold>Triple altered (<italic>n</italic> = 44)</bold>
</th>
<th>
<bold>Quadruple wild type (<italic>n</italic> = 95)</bold>
</th>
<th>
<bold>
<italic>P</italic>
</bold>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>Age (mean ± SD)</td>
<td>66.1 ± 13.4</td>
<td>64.4 ± 13</td>
<td>66.2 ± 11.9</td>
<td>65.8 ± 16.5</td>
<td>65.7 ± 14.3</td>
<td>0.72</td>
</tr>
<tr>
<td colspan="7">Age</td>
</tr>
<tr>
<td>≤ 65 years-old</td>
<td>260 (43.9)</td>
<td>48 (51.1)</td>
<td>134 (44.8)</td>
<td>18 (40.9)</td>
<td>40 (42.1)</td>
<td rowspan="2">0.56</td>
</tr>
<tr>
<td>&gt; 65 years-old</td>
<td>332 (56.1)</td>
<td>46 (48.9)</td>
<td>165 (55.2)</td>
<td>26 (59.1)</td>
<td>55 (57.9)</td>
</tr>
<tr>
<td>NA</td>
<td>2</td>
<td>1</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>-</td>
</tr>
<tr>
<td colspan="7">Sex</td>
</tr>
<tr>
<td>Male</td>
<td>312 (52.7)</td>
<td>47 (50)</td>
<td>164 (54.8)</td>
<td>23 (52.3)</td>
<td>43 (45.3)</td>
<td rowspan="2">0.41</td>
</tr>
<tr>
<td>Female</td>
<td>280 (47.3)</td>
<td>47 (50)</td>
<td>135 (45.2)</td>
<td>21 (47.7)</td>
<td>52 (54.7)</td>
</tr>
<tr>
<td>NA</td>
<td>2</td>
<td>1</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>-</td>
</tr>
<tr>
<td colspan="7">Stage</td>
</tr>
<tr>
<td>I</td>
<td>104 (17.9)</td>
<td>13 (14.4)</td>
<td>59 (20.1)</td>
<td>6 (13.6)</td>
<td>17 (18.3)</td>
<td rowspan="4">I–II versus III–IV: 0.26</td>
</tr>
<tr>
<td>II</td>
<td>220 (37.9)</td>
<td>39 (43.3)</td>
<td>98 (33.5)</td>
<td>23 (52.3)</td>
<td>41 (44.1)</td>
</tr>
<tr>
<td>III</td>
<td>170 (29.3)</td>
<td>23 (25.6)</td>
<td>97 (33.1)</td>
<td>12 (27.3)</td>
<td>19 (20.4)</td>
</tr>
<tr>
<td>IV</td>
<td>86 (14.8)</td>
<td>15 (16.7)</td>
<td>39 (13.3)</td>
<td>3 (6.8)</td>
<td>16 (17.2)</td>
</tr>
<tr>
<td>NA</td>
<td>14</td>
<td>5</td>
<td>7</td>
<td>0</td>
<td>2</td>
<td>-</td>
</tr>
<tr>
<td colspan="7">Location primary</td>
</tr>
<tr>
<td>Colon</td>
<td>436 (74.1)</td>
<td>70 (75.3)</td>
<td>209 (70.4)</td>
<td>41 (93.2)</td>
<td>71 (75.5)</td>
<td rowspan="2">0.01</td>
</tr>
<tr>
<td>Rectal</td>
<td>152 (25.9)</td>
<td>23 (24.7)</td>
<td>88 (29.6)</td>
<td>3 (6.8)</td>
<td>23 (24.5)</td>
</tr>
<tr>
<td>NA</td>
<td>6</td>
<td>2</td>
<td>3</td>
<td>0</td>
<td>1</td>
<td>-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p id="t1-fn-1">Percentages are shown in parentheses. NA: not available; SD: standard deviation; APC: adenomatous polyposis coli. -: no data</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="t2">
<label>Table 2</label>
<caption>
<p id="t2-p-1">
<bold>Subtype, tumor mutation burden (TMB), aneuploidy score (AS), and fraction genome altered (FGA) in colorectal cancers with or without APC and other WNT/β-catenin pathway alterations from the Cancer Genome Atlas (TCGA)</bold>
</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>
<bold>Characteristic</bold>
</th>
<th>
<bold>Entire cohort (<italic>n</italic> = 594)</bold>
</th>
<th>
<bold>Quadruple altered (<italic>n</italic> = 95)</bold>
</th>
<th>
<bold>
<italic>APC</italic> only altered (<italic>n</italic> = 300)</bold>
</th>
<th>
<bold>Triple altered (<italic>n</italic> = 44)</bold>
</th>
<th>
<bold>Quadruple wild type (<italic>n</italic> = 95)</bold>
</th>
<th>
<bold>
<italic>P</italic>
</bold>
</th>
</tr>
</thead>
<tbody>
<tr>
<td colspan="7">Subtype</td>
</tr>
<tr>
<td>GS</td>
<td>58 (12.7)</td>
<td>11 (12.7)</td>
<td>39 (13.8)</td>
<td>2 (5)</td>
<td>6 (12)</td>
<td rowspan="3">GS versus CIN versus MSI: &lt; 0.00001</td>
</tr>
<tr>
<td>CIN</td>
<td>328 (71.4)</td>
<td>46 (53.5)</td>
<td>235 (83)</td>
<td>14 (35)</td>
<td>33 (66)</td>
</tr>
<tr>
<td>MSI</td>
<td>63 (13.7)</td>
<td>19 (22.1)</td>
<td>9 (3.2)</td>
<td>24 (60)</td>
<td>11 (22)</td>
</tr>
<tr>
<td>POLE</td>
<td>10 (2.2)</td>
<td>10 (11.7)</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>-</td>
</tr>
<tr>
<td>NA</td>
<td>135</td>
<td>9</td>
<td>17</td>
<td>4</td>
<td>45</td>
<td>-</td>
</tr>
<tr>
<td colspan="7">TMB</td>
</tr>
<tr>
<td>≤ 10 mutations/Mb</td>
<td>451 (84.5)</td>
<td>63 (66.3)</td>
<td>288 (96)</td>
<td>17 (38.6)</td>
<td>83 (87.4)</td>
<td rowspan="2">&lt; 0.00001</td>
</tr>
<tr>
<td>&gt; 10 mutations/Mb</td>
<td>83 (15.5)</td>
<td>32 (33.7)</td>
<td>12 (4)</td>
<td>27 (61.4)</td>
<td>12 (12.6)</td>
</tr>
<tr>
<td>NA</td>
<td>60</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>-</td>
</tr>
<tr>
<td colspan="7">AS</td>
</tr>
<tr>
<td>&lt; 4</td>
<td>108 (18.4)</td>
<td>30 (32.3)</td>
<td>39 (13.1)</td>
<td>29 (65.9)</td>
<td>15 (15.8)</td>
<td rowspan="3">&lt; 0.00001</td>
</tr>
<tr>
<td>4–24</td>
<td>427 (72.9)</td>
<td>58 (62.4)</td>
<td>226 (76.1)</td>
<td>15 (34.1)</td>
<td>70 (73.7)</td>
</tr>
<tr>
<td>&gt; 24</td>
<td>51 (8.7)</td>
<td>5 (5.3)</td>
<td>32 (10.8)</td>
<td>0</td>
<td>10 (10.5)</td>
</tr>
<tr>
<td>NA</td>
<td>8</td>
<td>2</td>
<td>3</td>
<td>0</td>
<td>0</td>
<td>-</td>
</tr>
<tr>
<td colspan="7">FGA</td>
</tr>
<tr>
<td>&lt; 0.075</td>
<td>115 (19.7)</td>
<td>28 (30.1)</td>
<td>32 (10.9)</td>
<td>24 (55.8)</td>
<td>16 (17)</td>
<td rowspan="3">&lt; 0.00001</td>
</tr>
<tr>
<td>0.075–0.35</td>
<td>319 (54.7)</td>
<td>49 (52.7)</td>
<td>179 (61.1)</td>
<td>15 (34.9)</td>
<td>54 (57.5)</td>
</tr>
<tr>
<td>&gt; 0.35</td>
<td>149 (25.6)</td>
<td>16 (17.2)</td>
<td>82 (28)</td>
<td>4 (9.3)</td>
<td>24 (25.5)</td>
</tr>
<tr>
<td>NA</td>
<td>11</td>
<td>2</td>
<td>7</td>
<td>1</td>
<td>1</td>
<td>-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p id="t2-fn-1">Percentages are shown in parentheses. GS: genomically stable; CIN: chromosomal instability, MSI: microsatellite instability; NA: not available; POLE: polymerase epsilon. -: no data</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="t3-2">
<title>Mutation comparison in the four groups</title>
<p id="p-8">Mutations in the gene encoding for tumor suppressor p53, <italic>TP53</italic>, were more frequent in the two groups with <italic>APC</italic> alterations (54.7% of cases in the quadruple altered group and 71% of cases in the <italic>APC</italic> only altered group) compared with the two groups without <italic>APC</italic> alterations (43.2% of cases in the triple altered group and 31.6% of cases in the quadruple wild type group, <italic>χ</italic><sup>2</sup>-test <italic>P</italic> &lt; 0.00001, <xref ref-type="fig" rid="fig1">Figure 1</xref>). Mutations in oncogene <italic>KRAS</italic>, and in the less prevalent <italic>NRAS</italic>, were also more frequent in the two groups with <italic>APC</italic> alterations (<italic>χ</italic><sup>2</sup>-test <italic>P</italic> &lt; 0.00001 for <italic>KRAS</italic>, but not reaching significance, <italic>P</italic> = 0.14, for <italic>NRAS</italic>). <italic>BRAF</italic> mutations were significantly more prevalent in the triple altered group, with 47.7% of cases showing mutations, compared with 4% to 16.8% of cases in the other groups (<italic>χ</italic><sup>2</sup>-test <italic>P</italic> &lt; 0.00001, <xref ref-type="fig" rid="fig1">Figure 1</xref>). <italic>PIK3CA</italic> mutations were more prevalent in the two groups with <italic>RNF43</italic>, <italic>CTNNB1</italic>, or <italic>TCF7L2</italic> alterations (<italic>χ</italic><sup>2</sup>-test <italic>P</italic> = 0.0003).</p>
<fig id="fig1" position="float">
<label>Figure 1</label>
<caption>
<p id="fig1-p-1">
<bold>Prevalence of mutations in frequently mutated cancer-associated genes in colorectal cancers with or without APC and other WNT/β-catenin/APC pathway alterations</bold>. Data are from TCGA (the Cancer Genome Atlas). APC: adenomatous polyposis coli</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="etat-06-1002295-g001.tif"/>
</fig>
<p id="p-9">The genes encoding for receptor tyrosine kinases, including members of the EGFR family, members of the FGFR family, <italic>RET</italic>, <italic>ALK</italic>, and <italic>NTRK3</italic> were significantly more frequently mutated in the two groups with <italic>RNF43</italic>, <italic>CTNNB1</italic>, or <italic>TCF7L2</italic> alterations (<xref ref-type="table" rid="t3">Table 3</xref> and <xref ref-type="fig" rid="fig2">Figure 2</xref>). Moreover, several proteins of the KRAS/BRAF/MEK and the PI3K/AKT/mTOR pathways had a higher prevalence in the same groups (<xref ref-type="table" rid="t3">Table 3</xref> and <xref ref-type="fig" rid="fig3">Figure 3</xref>).</p>
<table-wrap id="t3">
<label>Table 3</label>
<caption>
<p id="t3-p-1">
<bold>Mutation frequencies in representative cancer-associated genes in colorectal cancers with or without APC and other WNT/β-catenin pathway alterations from the Cancer Genome Atlas (TCGA)</bold>
</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>
<bold>Gene</bold>
</th>
<th>
<bold>Entire cohort (<italic>n</italic> = 534)</bold>
</th>
<th>
<bold>Quadruple altered (<italic>n</italic> = 95)</bold>
</th>
<th>
<bold>
<italic>APC</italic> only altered (<italic>n</italic> = 300)</bold>
</th>
<th>
<bold>Triple altered (<italic>n</italic> = 44)</bold>
</th>
<th>
<bold>Quadruple wild type (<italic>n</italic> = 95)</bold>
</th>
<th>
<bold>
<italic>P</italic>
</bold>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<italic>EGFR</italic>
</td>
<td>19 (3.6)</td>
<td>6 (6.3)</td>
<td>5 (1.7)</td>
<td>2 (4.5)</td>
<td>2 (2.1)</td>
<td>0.09</td>
</tr>
<tr>
<td>
<italic>ERBB2</italic>
</td>
<td>20 (3.7)</td>
<td>8 (8.4)</td>
<td>8 (2.7)</td>
<td>3 (6.8)</td>
<td>1 (1.1)</td>
<td>0.02</td>
</tr>
<tr>
<td>
<italic>ERBB3</italic>
</td>
<td>32 (6.0)</td>
<td>15 (15.8)</td>
<td>8 (2.7)</td>
<td>3 (6.8)</td>
<td>3 (3.2)</td>
<td>0.00001</td>
</tr>
<tr>
<td>
<italic>ERBB4</italic>
</td>
<td>62 (11.6)</td>
<td>19 (20)</td>
<td>18 (6)</td>
<td>8 (18.2)</td>
<td>4 (4.2)</td>
<td>0.00002</td>
</tr>
<tr>
<td>
<italic>FGFR2</italic>
</td>
<td>22 (4.1)</td>
<td>5 (5.3)</td>
<td>4 (1.3)</td>
<td>3 (6.8)</td>
<td>4 (4.2)</td>
<td>0.06</td>
</tr>
<tr>
<td>
<italic>FGFR3</italic>
</td>
<td>18 (3.4)</td>
<td>10 (10.5)</td>
<td>3 (1)</td>
<td>3 (6.8)</td>
<td>1 (1.1)</td>
<td>0.00002</td>
</tr>
<tr>
<td>
<italic>RET</italic>
</td>
<td>30 (5.6)</td>
<td>11 (11.6)</td>
<td>9 (3)</td>
<td>6 (13.6)</td>
<td>2 (2.1)</td>
<td>0.0003</td>
</tr>
<tr>
<td>
<italic>ALK</italic>
</td>
<td>41 (7.7)</td>
<td>16 (16.8)</td>
<td>8 (2.7)</td>
<td>4 (9.1)</td>
<td>4 (4.2)</td>
<td>&lt; 0.00001</td>
</tr>
<tr>
<td>
<italic>NTRK3</italic>
</td>
<td>29 (5.4)</td>
<td>8 (8.4)</td>
<td>7 (2.3)</td>
<td>4 (9.1)</td>
<td>3 (3.2)</td>
<td>0.02</td>
</tr>
<tr>
<td>
<italic>NF1</italic>
</td>
<td>43 (8.1)</td>
<td>15 (15.8)</td>
<td>8 (2.7)</td>
<td>6 (13.6)</td>
<td>2 (2.1)</td>
<td>&lt; 0.00001</td>
</tr>
<tr>
<td>
<italic>RASA1</italic>
</td>
<td>29 (5.4)</td>
<td>9 (9.5)</td>
<td>6 (2)</td>
<td>3 (6.8)</td>
<td>2 (2.1)</td>
<td>0.004</td>
</tr>
<tr>
<td>
<italic>PIK3CB</italic>
</td>
<td>16 (3.0)</td>
<td>6 (6.3)</td>
<td>2 (0.7)</td>
<td>3 (6.8)</td>
<td>0</td>
<td>0.001</td>
</tr>
<tr>
<td>
<italic>PIK3R1</italic>
</td>
<td>38 (7.1)</td>
<td>15 (15.8)</td>
<td>9 (3)</td>
<td>3 (6.8)</td>
<td>5 (5.3)</td>
<td>0.0001</td>
</tr>
<tr>
<td>
<italic>PTEN</italic>
</td>
<td>48 (9.0)</td>
<td>10 (10.5)</td>
<td>10 (3.3)</td>
<td>10 (22.7)</td>
<td>4 (4.2)</td>
<td>&lt; 0.00001</td>
</tr>
<tr>
<td>
<italic>PPP2R1A</italic>
</td>
<td>15 (2.8)</td>
<td>7 (7.4)</td>
<td>3 (1)</td>
<td>3 (6.8)</td>
<td>1 (1.1)</td>
<td>0.001</td>
</tr>
<tr>
<td>
<italic>TSC1</italic>
</td>
<td>21 (3.9)</td>
<td>9 (9.5)</td>
<td>4 (1.3)</td>
<td>4 (9.1)</td>
<td>1 (1.1)</td>
<td>0.0001</td>
</tr>
<tr>
<td>
<italic>MTOR</italic>
</td>
<td>46 (8.6)</td>
<td>15 (15.8)</td>
<td>11 (3.7)</td>
<td>6 (13.6)</td>
<td>9 (9.5)</td>
<td>0.0003</td>
</tr>
<tr>
<td>
<italic>MSH2</italic>
</td>
<td>27 (5.1)</td>
<td>15 (15.8)</td>
<td>3 (1)</td>
<td>3 (6.8)</td>
<td>0</td>
<td>&lt; 0.00001</td>
</tr>
<tr>
<td>
<italic>MSH6</italic>
</td>
<td>29 (5.4)</td>
<td>14 (14.7)</td>
<td>3 (1)</td>
<td>3 (6.8)</td>
<td>4 (4.2)</td>
<td>&lt; 0.00001</td>
</tr>
<tr>
<td>
<italic>PMS2</italic>
</td>
<td>16 (3.0)</td>
<td>8 (8.4)</td>
<td>4 (1.3)</td>
<td>2 (4.5)</td>
<td>0</td>
<td>0.001</td>
</tr>
<tr>
<td>
<italic>MLH1</italic>
</td>
<td>24 (4.5)</td>
<td>7 (7.4)</td>
<td>5 (1.7)</td>
<td>7 (15.9)</td>
<td>3 (3.2)</td>
<td>0.00004</td>
</tr>
<tr>
<td>
<italic>POLE</italic>
</td>
<td>50 (9.4)</td>
<td>24 (25.3)</td>
<td>6 (2)</td>
<td>3 (6.8)</td>
<td>3 (3.2)</td>
<td>&lt; 0.00001</td>
</tr>
<tr>
<td>
<italic>BRCA1</italic>
</td>
<td>19 (3.6)</td>
<td>9 (9.5)</td>
<td>3 (1)</td>
<td>3 (6.8)</td>
<td>1 (1.1)</td>
<td>0.00009</td>
</tr>
<tr>
<td>
<italic>BRCA2</italic>
</td>
<td>69 (12.9)</td>
<td>19 (20)</td>
<td>12 (4)</td>
<td>6 (13.6)</td>
<td>1 (1.1)</td>
<td>&lt; 0.00001</td>
</tr>
<tr>
<td>
<italic>ATM</italic>
</td>
<td>107 (20.0)</td>
<td>23 (24.2)</td>
<td>25 (8.3)</td>
<td>12 (27.2)</td>
<td>10 (10.5)</td>
<td>0.00002</td>
</tr>
<tr>
<td>
<italic>BRIP1</italic>
</td>
<td>25 (4.7)</td>
<td>11 (11.6)</td>
<td>3 (1)</td>
<td>0</td>
<td>4 (4.2)</td>
<td>0.00002</td>
</tr>
<tr>
<td>
<italic>CDK12</italic>
</td>
<td>42 (7.9)</td>
<td>13 (13.7)</td>
<td>7 (2.3)</td>
<td>8 (18.2)</td>
<td>3 (3.2)</td>
<td>&lt; 0.00001</td>
</tr>
<tr>
<td>
<italic>LRP1B</italic>
</td>
<td>190 (35.6)</td>
<td>29 (30.5)</td>
<td>41 (13.7)</td>
<td>11 (25)</td>
<td>13 (13.7)</td>
<td>0.0007</td>
</tr>
<tr>
<td>
<italic>AMER1</italic>
</td>
<td>72 (13.5)</td>
<td>22 (23.2)</td>
<td>32 (10.7)</td>
<td>6 (13.6)</td>
<td>7 (7.4)</td>
<td>0.004</td>
</tr>
<tr>
<td>
<italic>AXIN2</italic>
</td>
<td>36 (6.7)</td>
<td>10 (10.5)</td>
<td>7 (2.3)</td>
<td>7 (15.9)</td>
<td>5 (5.3)</td>
<td>0.0001</td>
</tr>
<tr>
<td>
<italic>FAT1</italic>
</td>
<td>99 (18.5)</td>
<td>26 (27.4)</td>
<td>13 (4.3)</td>
<td>12 (27.3)</td>
<td>5 (5.3)</td>
<td>&lt; 0.00001</td>
</tr>
<tr>
<td>
<italic>FAT4</italic>
</td>
<td>124 (23.2)</td>
<td>35 (36.8)</td>
<td>54 (18)</td>
<td>21 (47.7)</td>
<td>14 (14.7)</td>
<td>&lt; 0.00001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p id="t3-fn-1">Percentages are shown in parentheses. APC: adenomatous polyposis coli</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="fig2" position="float">
<label>Figure 2</label>
<caption>
<p id="fig2-p-1">
<bold>Prevalence of mutations in receptor tyrosine kinase genes in colorectal cancers with or without APC and other WNT/β-catenin/APC pathway alterations</bold>. Data are from TCGA (the Cancer Genome Atlas). APC: adenomatous polyposis coli</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="etat-06-1002295-g002.tif"/>
</fig>
<fig id="fig3" position="float">
<label>Figure 3</label>
<caption>
<p id="fig3-p-1">
<bold>Prevalence of mutations in genes encoding for proteins of the KRAS/BRAF/MEK and the PI3K/AKT/mTOR pathways in colorectal cancers with or without APC and other WNT/β-catenin/APC pathway alterations</bold>. Data are from TCGA (the Cancer Genome Atlas). APC: adenomatous polyposis coli</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="etat-06-1002295-g003.tif"/>
</fig>
<p id="p-10">Consistent with the higher prevalence of MSI and high TMB, the two groups with <italic>RNF43</italic>, <italic>CTNNB1</italic>, or <italic>TCF7L2</italic> alterations possessed statistically significant higher mutation rates of genes encoding for MMR-associated proteins and proofreading polymerase epsilon (<xref ref-type="table" rid="t3">Table 3</xref> and <xref ref-type="fig" rid="fig4">Figure 4</xref>). The quadruple wild type group showed a low rate of mutations in these genes, despite containing 22% of MSI high cases, suggesting that epigenetic modifications such as <italic>MLH1</italic> promoter methylation may be the responsible alterations involved in producing MMR defects in this group.</p>
<fig id="fig4" position="float">
<label>Figure 4</label>
<caption>
<p id="fig4-p-1">
<bold>Prevalence of mutations in mismatch repair associated genes and proofreading polymerase epsilon gene (<italic>POLE</italic>) in colorectal cancers with or without APC and other WNT/β-catenin/APC pathway alterations</bold>. Data are from TCGA (the Cancer Genome Atlas). APC: adenomatous polyposis coli</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="etat-06-1002295-g004.tif"/>
</fig>
<p id="p-11">DNA damage response genes, including <italic>BRCA1</italic>, <italic>BRCA2</italic>, <italic>ATM</italic>, and <italic>CDK12</italic> were more frequently mutated in the two groups with <italic>RNF43</italic>, <italic>CTNNB1</italic>, or <italic>TCF7L2</italic> alterations, both with (quadruple altered group) and without (triple altered group) <italic>APC</italic> alterations compared with the two groups without <italic>RNF43</italic>, <italic>CTNNB1</italic>, or <italic>TCF7L2</italic> alterations (<xref ref-type="table" rid="t3">Table 3</xref> and <xref ref-type="fig" rid="fig5">Figure 5</xref>). <italic>ATM</italic> mutations had the highest prevalence of mutations in the two <italic>RNF43</italic>, <italic>CTNNB1</italic>, or <italic>TCF7L2</italic> altered groups with about one-fourth of the cases being mutated (<xref ref-type="fig" rid="fig5">Figure 5</xref>).</p>
<fig id="fig5" position="float">
<label>Figure 5</label>
<caption>
<p id="fig5-p-1">
<bold>Prevalence of mutations in genes encoding for proteins of the DNA damage response pathway in colorectal cancers with or without APC and other WNT/β-catenin/APC pathway alterations</bold>. Data are from TCGA (the Cancer Genome Atlas). APC: adenomatous polyposis coli</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="etat-06-1002295-g005.tif"/>
</fig>
<p id="p-12">In addition to <italic>RNF43</italic>, <italic>CTNNB1</italic>, and <italic>TCF7L2</italic> alterations, the quadruple altered and triple altered groups displayed more frequent mutations in other components of the WNT/β-catenin/APC pathway, such as <italic>LRP1B</italic>, <italic>AXIN2</italic>, and the atypical cadherins <italic>FAT1</italic> and <italic>FAT4</italic> (<xref ref-type="table" rid="t3">Table 3</xref> and <xref ref-type="fig" rid="fig6">Figure 6</xref>). <italic>LRP1B</italic> mutations were present in one-fourth of the cases, while <italic>FAT1</italic> and <italic>FAT4</italic> had an even higher prevalence of mutations in these groups.</p>
<fig id="fig6" position="float">
<label>Figure 6</label>
<caption>
<p id="fig6-p-1">
<bold>Prevalence of mutations in genes encoding for other proteins of the WNT/β-catenin/APC pathway, besides <italic>APC</italic>, <italic>RNF43</italic>, <italic>CTNNB1</italic>, and <italic>TCF7L2</italic>, in colorectal cancers with or without APC and other WNT/β-catenin/APC pathway alterations.</bold> Data are from TCGA (the Cancer Genome Atlas). APC: adenomatous polyposis coli</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="etat-06-1002295-g006.tif"/>
</fig>
</sec>
<sec id="t3-3">
<title>Cell lines comparison</title>
<p id="p-13">Similar to colorectal cancer patient samples, <italic>APC</italic> mutations were the most common genomic alterations of the WNT/β-catenin pathway in the colorectal cancer cell line cohort of the CCLE collection consisting of 84 colorectal cancer cell lines. The three other genes of the pathway that are frequently mutated in colorectal cancer samples, <italic>RNF43</italic>, <italic>CTNNB1</italic>, and <italic>TCF7L2</italic>, were also frequently mutated in colorectal cancer cell lines, although less frequently than <italic>APC</italic>. Among <italic>APC</italic> mutated cell lines, 11 cell lines possessed pathogenic mutations in both <italic>APC</italic> and one or more of the three other genes of the pathway (the quadruple mutant group, <xref ref-type="table" rid="t4">Table 4</xref>). The cell lines with pathogenic <italic>APC</italic> mutations in the absence of mutations in <italic>RNF43</italic>, <italic>CTNNB1</italic>, or <italic>TCF7L2</italic> formed the <italic>APC</italic> only mutated group consisting of 13 cell lines. Nine colorectal cancer cell lines had mutations in one or more of the three other genes, in the absence of <italic>APC</italic> mutations (triple mutated cell lines, <xref ref-type="table" rid="t4">Table 4</xref>). A fourth group consisting of four cell lines were wild type for all four frequently mutated WNT/β-catenin pathway genes (<italic>APC</italic>, <italic>RNF43</italic>, <italic>CTNNB1</italic>, and <italic>TCF7L2</italic>: quadruple wild type cell lines) (<xref ref-type="table" rid="t4">Table 4</xref>).</p>
<table-wrap id="t4">
<label>Table 4</label>
<caption>
<p id="t4-p-1">
<bold>Colorectal cancer cell lines with or without APC and other WNT/β-catenin pathway mutations</bold>
</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>
<bold>Cell line</bold>
</th>
<th>
<bold>DepMap ID</bold>
</th>
<th>
<bold>TMB</bold>
</th>
<th>
<bold>FGA</bold>
</th>
<th>
<bold>Ploidy</bold>
</th>
<th>
<bold>MSI status</bold>
</th>
</tr>
</thead>
<tbody>
<tr>
<td colspan="6">Quadruple mutated</td>
</tr>
<tr>
<td>CL-34</td>
<td>ACH-000895</td>
<td>42.73333</td>
<td>0.149</td>
<td>1.98</td>
<td>NA</td>
</tr>
<tr>
<td>CW-2</td>
<td>ACH-000998</td>
<td>274.9667</td>
<td>0.0293</td>
<td>2</td>
<td>MSI</td>
</tr>
<tr>
<td>GP2d</td>
<td>ACH-000982</td>
<td>169.2</td>
<td>0.0418</td>
<td>2</td>
<td>NA</td>
</tr>
<tr>
<td>HCT-15</td>
<td>ACH-000997</td>
<td>259.6667</td>
<td>0.0269</td>
<td>2</td>
<td>MSI</td>
</tr>
<tr>
<td>KM12</td>
<td>ACH-000969</td>
<td>110.7</td>
<td>0.1304</td>
<td>2</td>
<td>MSI</td>
</tr>
<tr>
<td>LoVo</td>
<td>ACH-000950</td>
<td>77.5</td>
<td>0.2092</td>
<td>2.2</td>
<td>MSI</td>
</tr>
<tr>
<td>LS411N</td>
<td>ACH-000985</td>
<td>182.0667</td>
<td>0.2807</td>
<td>3.41</td>
<td>MSI</td>
</tr>
<tr>
<td>NCI-H630</td>
<td>ACH-002287</td>
<td>75.4</td>
<td>NA</td>
<td>NA</td>
<td>NA</td>
</tr>
<tr>
<td>SNU-C2A</td>
<td>ACH-000967</td>
<td>104.1667</td>
<td>0.1034</td>
<td>1.98</td>
<td>NA</td>
</tr>
<tr>
<td>SNU-C4</td>
<td>ACH-000959</td>
<td>73.46667</td>
<td>0.0337</td>
<td>1.99</td>
<td>NA</td>
</tr>
<tr>
<td>SNU-C5</td>
<td>ACH-000970</td>
<td>100.0333</td>
<td>0.0966</td>
<td>2.05</td>
<td>MSI</td>
</tr>
<tr>
<td colspan="6">APC only mutated</td>
</tr>
<tr>
<td>C75</td>
<td>ACH-001458</td>
<td>8.333333</td>
<td>NA</td>
<td>NA</td>
<td>NA</td>
</tr>
<tr>
<td>C80</td>
<td>ACH-001459</td>
<td>7.133333</td>
<td>NA</td>
<td>NA</td>
<td>NA</td>
</tr>
<tr>
<td>C84</td>
<td>ACH-001460</td>
<td>7.566667</td>
<td>NA</td>
<td>NA</td>
<td>NA</td>
</tr>
<tr>
<td>CACO2</td>
<td>ACH-000003</td>
<td>5.6</td>
<td>NA</td>
<td>NA</td>
<td>NA</td>
</tr>
<tr>
<td>COLO 201</td>
<td>ACH-000253</td>
<td>8.866667</td>
<td>0.38</td>
<td>2.96</td>
<td>MSS</td>
</tr>
<tr>
<td>DiFi</td>
<td>ACH-002233</td>
<td>7.2</td>
<td>NA</td>
<td>NA</td>
<td>MSS</td>
</tr>
<tr>
<td>GEO</td>
<td>ACH-002394</td>
<td>11.13333</td>
<td>NA</td>
<td>NA</td>
<td>MSS</td>
</tr>
<tr>
<td>HCC2998</td>
<td>ACH-001081</td>
<td>233.4333</td>
<td>NA</td>
<td>NA</td>
<td>MSS</td>
</tr>
<tr>
<td>MDST8</td>
<td>ACH-000935</td>
<td>25.86667</td>
<td>0.5583</td>
<td>2.12</td>
<td>MSS</td>
</tr>
<tr>
<td>SK-CO-1</td>
<td>ACH-000400</td>
<td>9.9</td>
<td>0.552</td>
<td>3.68</td>
<td>MSS</td>
</tr>
<tr>
<td>SNU-175</td>
<td>ACH-000989</td>
<td>183.8667</td>
<td>0.0927</td>
<td>2.05</td>
<td>MSI</td>
</tr>
<tr>
<td>SW1116</td>
<td>ACH-000489</td>
<td>12.03333</td>
<td>0.6339</td>
<td>2.76</td>
<td>MSS</td>
</tr>
<tr>
<td>SW1417</td>
<td>ACH-000236</td>
<td>8.5</td>
<td>0.5683</td>
<td>3.12</td>
<td>MSS</td>
</tr>
<tr>
<td colspan="6">Triple mutated</td>
</tr>
<tr>
<td>HCC-56</td>
<td>ACH-000467</td>
<td>12.96667</td>
<td>0.5288</td>
<td>2.94</td>
<td>NA</td>
</tr>
<tr>
<td>HCT 116</td>
<td>ACH-000971</td>
<td>106.5</td>
<td>0.082</td>
<td>2.06</td>
<td>MSI</td>
</tr>
<tr>
<td>LIM1215</td>
<td>ACH-001546</td>
<td>30.36667</td>
<td>NA</td>
<td>1.97</td>
<td>MSI</td>
</tr>
<tr>
<td>LS1034</td>
<td>ACH-000252</td>
<td>12.4</td>
<td>0.3562</td>
<td>3.11</td>
<td>MSS</td>
</tr>
<tr>
<td>NCI-H508</td>
<td>ACH-000360</td>
<td>10.73333</td>
<td>0.4813</td>
<td>2.31</td>
<td>MSS</td>
</tr>
<tr>
<td>NCI-H716</td>
<td>ACH-000491</td>
<td>14.1</td>
<td>0.6137</td>
<td>2.83</td>
<td>MSS</td>
</tr>
<tr>
<td>RKO</td>
<td>ACH-000943</td>
<td>114.6667</td>
<td>0.1421</td>
<td>2.15</td>
<td>MSI</td>
</tr>
<tr>
<td>SNU-407</td>
<td>ACH-000955</td>
<td>88.33333</td>
<td>0.0895</td>
<td>2.08</td>
<td>MSI</td>
</tr>
<tr>
<td>SNU-C2B</td>
<td>ACH-001199</td>
<td>86.2</td>
<td>NA</td>
<td>2.02</td>
<td>MSI</td>
</tr>
<tr>
<td colspan="6">Quadruple wild type</td>
</tr>
<tr>
<td>C10</td>
<td>ACH-001454</td>
<td>7.233333</td>
<td>NA</td>
<td>NA</td>
<td>NA</td>
</tr>
<tr>
<td>C99</td>
<td>ACH-001461</td>
<td>6.9</td>
<td>NA</td>
<td>NA</td>
<td>NA</td>
</tr>
<tr>
<td>CAR1</td>
<td>ACH-002345</td>
<td>7.833333</td>
<td>NA</td>
<td>2.77</td>
<td>MSS</td>
</tr>
<tr>
<td>LS513</td>
<td>ACH-000007</td>
<td>13.9</td>
<td>0.2636</td>
<td>2.28</td>
<td>MSS</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p id="t4-fn-1">TMB: tumor mutation burden; FGA: fraction genome altered; MSI: microsatellite instability; MSS: microsatellite stability; NA: not available; APC: adenomatous polyposis coli. Data are from the Cancer Cell Line Encyclopedia (CCLE)</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p id="p-14">Although data from some cell lines in the quadruple mutated group were not available, all cell lines of the group with data available were MSI high and had a high TMB (<xref ref-type="table" rid="t4">Table 4</xref>). All but one cell line was diploid and most had a low CIN as measured by the FGA. In contrast, and consistent with patient samples, all but one cell line in the group with <italic>APC</italic> only mutations were microsatellite stability (MSS), and had low TMB and high CIN. The group of cell lines with non-APC WNT/β-catenin pathway gene mutations (triple mutated group) was comprised of both MSS and MSI cell lines and a corresponding mixture of high and low TMB (<xref ref-type="table" rid="t4">Table 4</xref>). Lastly, the quadruple wild type group was comprised of cell lines with low TMB and MSS status. Pathogenic <italic>TP53</italic> mutations were present in 8 of the 11 (82.7%) cell lines of the quadruple mutated group, in 8 of the 13 (61.5%) cell lines of the APC only mutated group, in 6 of the 9 (66.7%) cell lines of the triple mutated group and in 1 of the 4 (25%) cell lines of the quadruple wild type group (<xref ref-type="table" rid="t5">Table 5</xref>). Classic codon 12 and 13 pathogenic <italic>KRAS</italic> mutations were present in 4 of the 11 (36.4%) quadruple mutated cell lines (one other cell line of the group had a mutation of unknown significance at codon 140). Pathogenic <italic>KRAS</italic> mutations were present in 7 of 13 (53.8%) cell lines of the APC only mutated group, in 5 of 9 (55.6%) cell lines of the triple mutated group, and in 1 of the 4 (25%) cell lines of the quadruple wild type group (<xref ref-type="table" rid="t5">Table 5</xref>). No cell lines in the four groups possessed mutations in the homologous <italic>NRAS</italic> gene, but 2 cell lines from the quadruple mutated group had homo-deletions of the <italic>NRAS</italic> locus at chromosome 1p13.2, an alteration that is rarely observed in colorectal cancer patient samples, with a prevalence of 0.7% in the colorectal cohort from TCGA.</p>
<table-wrap id="t5">
<label>Table 5</label>
<caption>
<p id="t5-p-1">
<bold>Alterations of frequently mutated genes of colorectal cancer in colorectal cancer cell lines with or without APC and other WNT/β-catenin pathway mutations</bold>
</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>
<bold>Cell line</bold>
</th>
<th>
<bold>
<italic>TP53</italic>
</bold>
</th>
<th>
<bold>
<italic>KRAS</italic>
</bold>
</th>
<th>
<bold>
<italic>NRAS</italic>
</bold>
</th>
<th>
<bold>
<italic>BRAF</italic>
</bold>
</th>
<th>
<bold>
<italic>PIK3CA</italic>
</bold>
</th>
<th>
<bold>
<italic>APC</italic>
</bold>
</th>
<th>
<bold>
<italic>RNF43</italic>
</bold>
</th>
<th>
<bold>
<italic>CTNNB1</italic>
</bold>
</th>
<th>
<bold>
<italic>TCF7L2</italic>
</bold>
</th>
</tr>
</thead>
<tbody>
<tr>
<td colspan="10">Quadruple mutated</td>
</tr>
<tr>
<td>CL-34</td>
<td>*S127P, *K382Nfs*40</td>
<td>WT</td>
<td>WT</td>
<td>*V600E</td>
<td>WT</td>
<td>*T1556Nfs*3, *E418*, R856C</td>
<td>WT</td>
<td>WT</td>
<td>*K468Sfs*23, L200I</td>
</tr>
<tr>
<td>CW-2</td>
<td>WT</td>
<td>P140H</td>
<td>WT</td>
<td>WT</td>
<td>P283S</td>
<td>*S1465Wfs*3, *R302*, G470R, A528V, E2737G, I2756V</td>
<td>WT</td>
<td>R582Q</td>
<td>*C469Vfs*8</td>
</tr>
<tr>
<td>GP2d</td>
<td>WT</td>
<td>*G12D</td>
<td>WT</td>
<td>T529A</td>
<td>*H1047L</td>
<td>*T1445Lfs*27, L2384I, S2562G, HD</td>
<td>S771T, D628G</td>
<td>D755V</td>
<td>*W156*</td>
</tr>
<tr>
<td>HCT-15</td>
<td>*S241F, *X367_splice</td>
<td>*G13D</td>
<td>WT</td>
<td>WT</td>
<td>*E545K, *D549N</td>
<td>*I1417Lfs*2, *R2166*, R727M, K993N, K1561N, E2550Q, I1779M</td>
<td>*G659Vfs*41, L214M</td>
<td>WT</td>
<td>WT</td>
</tr>
<tr>
<td>KM12</td>
<td>*H179R, *V73Wfs*50</td>
<td>WT</td>
<td>WT</td>
<td>A712T, A404Cfs*9</td>
<td>WT</td>
<td>*N1818Kfs*2, G471E</td>
<td>*G659Vfs*41</td>
<td>SETD5 fusion</td>
<td>WT</td>
</tr>
<tr>
<td>LoVo</td>
<td>WT</td>
<td>*G13D</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>*R1114*, *M1431Cfs*42, R2816Q</td>
<td>WT</td>
<td>*R535Q</td>
<td>*K468Sfs*23</td>
</tr>
<tr>
<td>LS411N</td>
<td>*Y126*</td>
<td>WT</td>
<td>WT</td>
<td>*V600E</td>
<td>WT</td>
<td>*T1556Nfs*3, *Q789*</td>
<td>*G659Vfs*41</td>
<td>WT</td>
<td>WT</td>
</tr>
<tr>
<td>NCI-H630</td>
<td>*R342*</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>*Q1367*, V1173M</td>
<td>WT</td>
<td>WT</td>
<td>*K468Sfs*23</td>
</tr>
<tr>
<td>SNU-C2A</td>
<td>*R273C, *R273H, *R273Y</td>
<td>*G12D</td>
<td>HD</td>
<td>WT</td>
<td>D725G</td>
<td>*K2051Efs*9</td>
<td>*R337*, C275Wfs*143, R389C</td>
<td>HD</td>
<td>*K468Sfs*23</td>
</tr>
<tr>
<td>SNU-C4</td>
<td>*G245S</td>
<td>WT</td>
<td>HD</td>
<td>D22N</td>
<td>*E545G, V71I</td>
<td>*F801Lfs*19, *T1556Lfs*9, H325R</td>
<td>*R225Afs*194</td>
<td>WT</td>
<td>*K468Sfs*23</td>
</tr>
<tr>
<td>SNU-C5</td>
<td>*R248W, *V218L</td>
<td>WT</td>
<td>WT</td>
<td>*V600E</td>
<td>*H1047R</td>
<td>*N1792Kfs*7</td>
<td>*G659Vfs*41</td>
<td>WT</td>
<td>WT</td>
</tr>
<tr>
<td colspan="10">
<italic>APC</italic> only mutated</td>
</tr>
<tr>
<td>C75</td>
<td>*R249S</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>*Q1204*, *S943Qfs*12, *L1488Ffs*23</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
</tr>
<tr>
<td>C80</td>
<td>*Q52*</td>
<td>*A146V</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>*L629*</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
</tr>
<tr>
<td>C84</td>
<td>*R342*</td>
<td>*G12A</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>*R1450*, *R283*, *R640W</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
</tr>
<tr>
<td>CACO2</td>
<td>*C135F, *E204*</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>*Q1367*</td>
<td>WT</td>
<td>G245A</td>
<td>WT</td>
</tr>
<tr>
<td>COLO 201</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>*V600E</td>
<td>WT</td>
<td>*T1556Nfs*3</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
</tr>
<tr>
<td>DiFi</td>
<td>*K132R</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>*E1151*, *E443Afs*16</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
</tr>
<tr>
<td>GEO</td>
<td>WT</td>
<td>*G12A</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>*E1536*, *C344Vfs*110</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
</tr>
<tr>
<td>HCC2998</td>
<td>*R213*</td>
<td>*A146T</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>*R1450*, *L665*, I2167S, S1864Y, N2720K, R168I</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
</tr>
<tr>
<td>MDST8</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>*V600E, *V600K, *V600M</td>
<td>WT</td>
<td>*T1556Nfs*3</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
</tr>
<tr>
<td>SK-CO-1</td>
<td>WT</td>
<td>*G12V, AMPL</td>
<td>WT</td>
<td>AMPL</td>
<td>WT</td>
<td>*F1089fs*37</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
</tr>
<tr>
<td>SNU-175</td>
<td>WT</td>
<td>*A59T</td>
<td>WT</td>
<td>NA</td>
<td>NA</td>
<td>*R232*, *N1455fs*18, *G1499*, A199V</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
</tr>
<tr>
<td>SW1116</td>
<td>*A159D</td>
<td>*G12A</td>
<td>WT</td>
<td>NA</td>
<td>AMPL</td>
<td>*Q264*, *Q1429Hfs*41</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
</tr>
<tr>
<td>SW1417</td>
<td>*C238Hfs*21</td>
<td>WT</td>
<td>WT</td>
<td>*V600E, AMPL</td>
<td>NA</td>
<td>*R1450*</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
</tr>
<tr>
<td colspan="10">Triple mutated</td>
</tr>
<tr>
<td>HCC-56</td>
<td>*R196P</td>
<td>*G12V</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>*X387_splice</td>
</tr>
<tr>
<td>HCT 116</td>
<td>WT</td>
<td>*G13D</td>
<td>WT</td>
<td>WT</td>
<td>*H1047R</td>
<td>WT</td>
<td>*R117Afs*41</td>
<td>*S45del</td>
<td>Fusion</td>
</tr>
<tr>
<td>LIM1215</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>*T41A, Q177P</td>
<td>NA</td>
</tr>
<tr>
<td>LS1034</td>
<td>*G245S, HD</td>
<td>*A146T, AMPL</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>*R39Gfs*4</td>
</tr>
<tr>
<td>NCI-H508</td>
<td>*R273H</td>
<td>WT</td>
<td>WT</td>
<td>*G596R</td>
<td>*E545K, AMPL</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>Fusion, HD</td>
</tr>
<tr>
<td>NCI-H716</td>
<td>*E224D</td>
<td>R97I</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>*H472Qfs*30</td>
<td>WT</td>
<td>WT</td>
</tr>
<tr>
<td>RKO</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>*V600E</td>
<td>*H1047R</td>
<td>WT</td>
<td>*G659Vfs*41, H549N</td>
<td>WT</td>
<td>WT</td>
</tr>
<tr>
<td>SNU-407</td>
<td>*S90Pfs*33</td>
<td>*G12D</td>
<td>WT</td>
<td>R726C</td>
<td>*H1047R</td>
<td>WT</td>
<td>WT</td>
<td>*T41A</td>
<td>*K468Sfs*23, A549T, A419V</td>
</tr>
<tr>
<td>SNU-C2B</td>
<td>*R273Y</td>
<td>*G12D</td>
<td>WT</td>
<td>WT</td>
<td>D725G</td>
<td>WT</td>
<td>*C275Wfs*143</td>
<td>WT</td>
<td>*K468Sfs*23</td>
</tr>
<tr>
<td colspan="10">Quadruple wild type</td>
</tr>
<tr>
<td>C10</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
</tr>
<tr>
<td>C99</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
</tr>
<tr>
<td>CAR1</td>
<td>*V272M</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
</tr>
<tr>
<td>LS513</td>
<td>WT</td>
<td>*G12D</td>
<td>WT</td>
<td>E204L, E204V, E204*</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
<td>WT</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p id="t5-fn-1">AMPL: amplified; HD: Homodeleted; WT: wild type; NA: not available; APC: adenomatous polyposis coli. * before a mutation denotes oncogenic. Data are from the Cancer Cell Line Encyclopedia (CCLE)</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p id="p-15">V600E or other pathogenic <italic>BRAF</italic> mutations were observed in 3 of 11 (27.3%) quadruple mutated cell lines, in 3 of 13 (23.1%) cell lines of the APC only mutated group, in 2 of 9 (22.2%) cell lines of the triple mutated group, and no cell lines of the quadruple wild type group (<xref ref-type="table" rid="t5">Table 5</xref>). Overall, the colorectal cancer cell lines in the four groups capture to a significant degree, albeit with some variability, the corresponding prevalence of the pathogenic mutations in <italic>TP53</italic>, <italic>KRAS</italic>, and <italic>BRAF</italic> in patient samples (<xref ref-type="fig" rid="fig7">Figure 7</xref>). For example, pathogenic <italic>BRAF</italic> mutations were more frequent in cell lines of the quadruple altered and APC only altered groups than the corresponding patient samples, while in the triple altered group, where pathogenic <italic>BRAF</italic> mutations were most prevalent in patient samples, corresponding cell lines had a lower frequency of <italic>BRAF</italic> mutations (<xref ref-type="fig" rid="fig7">Figure 7</xref>).</p>
<fig id="fig7" position="float">
<label>Figure 7</label>
<caption>
<p id="fig7-p-1">
<bold>Prevalence of mutations in <italic>TP53</italic>, <italic>KRAS</italic>, and <italic>BRAF</italic> in patient samples and corresponding cell lines from colorectal cancers with or without APC and other WNT/β-catenin/APC pathway alterations</bold>. Data for patient samples are from TCGA (the Cancer Genome Atlas) and for cell lines from the Cancer Cell Line Encyclopedia. APC: adenomatous polyposis coli</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="etat-06-1002295-g007.tif"/>
</fig>
</sec>
<sec id="t3-4">
<title>Drug sensitivities in vitro</title>
<p id="p-16">Comparison of the sensitivities of the four groups of colorectal cancer cell lines to representative porcupine inhibitors, tankyrase inhibitors, and EGFR inhibitors was performed using data from the GDSC project. Although the small number of in vitro assayed cell lines prevented a formal statistical comparison from reaching significance, the two quadruple cell lines with data available seemed to be more sensitive to two of the three porcupine inhibitors tested, all three tankyrase inhibitors with data and to be more sensitive to the EGFR inhibitor erlotinib than cell lines from the other groups (<xref ref-type="table" rid="t6">Table 6</xref>).</p>
<table-wrap id="t6">
<label>Table 6</label>
<caption>
<p id="t6-p-1">
<bold>Sensitivities (mean IC<sub>50</sub></bold>, μ<bold>M) of colorectal cancer cell lines with or without APC and other WNT/β-catenin pathway mutations to porcupine inhibitors, tankyrase inhibitors, and EGFR inhibitors</bold></p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2">
<bold>Groups</bold>
</th>
<th colspan="3">
<bold>Porcupine inhibitors</bold>
</th>
<th colspan="4">
<bold>TNKRS inhibitors</bold>
</th>
<th colspan="2">
<bold>EGFR inhibitors</bold>
</th>
</tr>
<tr>
<th>
<bold>LGK974</bold>
</th>
<th>
<bold>IWP-2</bold>
</th>
<th>
<bold>Wnt-C59</bold>
</th>
<th>
<bold>AZ6102</bold>
</th>
<th>
<bold>MN-64</bold>
</th>
<th>
<bold>WIKI4</bold>
</th>
<th>
<bold>XAV939</bold>
</th>
<th>
<bold>Cetuximab</bold>
</th>
<th>
<bold>Erlotinib</bold>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>Quadruple mutated (<italic>n</italic> = 6)</td>
<td>138.5 (77.9)</td>
<td>33.31 (16.56)</td>
<td>150.8 (136.6)</td>
<td>25.39 (38.13)</td>
<td>211.7 (84.2)</td>
<td>79.01 (64.09)</td>
<td>156.1 (76.8)</td>
<td>543.5 (367.2)</td>
<td>21.01 (33.74)</td>
</tr>
<tr>
<td>
<italic>APC</italic> only mutated (<italic>n</italic> = 7)</td>
<td>130.04 (91.3)</td>
<td>38.72 (28.7)</td>
<td>168.02 (164.6)</td>
<td>29.79 (48.04)</td>
<td>218.3 (189.2)</td>
<td>45.13 (22.23)</td>
<td>175.2 (113.5)</td>
<td>418.6 (494.4)</td>
<td>30.67 (57.39)</td>
</tr>
<tr>
<td>Triple mutated (<italic>n</italic> = 7)</td>
<td>134.57 (94.1)</td>
<td>37.01 (32.9)</td>
<td>154.5 (122.2)</td>
<td>15.31 (10.66)</td>
<td>168.1 (135.8)</td>
<td>66.79 (52.63)</td>
<td>110.5 (40.7)</td>
<td>657.1 (349.4)</td>
<td>22.75 (16.56)</td>
</tr>
<tr>
<td>Quadruple wild type (<italic>n</italic> = 2)</td>
<td>64.05 (30.05)</td>
<td>31.6 (0.91)</td>
<td>135.5 (127.7)</td>
<td>4.2 (2.82)</td>
<td>110.5 (68.3)</td>
<td>NA</td>
<td>51.61 (62.8)</td>
<td>838.9 (322.4)</td>
<td>5.51 (4.32)</td>
</tr>
<tr>
<td>ANOVA</td>
<td>
<italic>F</italic> = 0.4, <italic>P</italic> = 0.74</td>
<td>
<italic>F</italic> = 0.06, <italic>P</italic> = 0.97</td>
<td>
<italic>F</italic> = 0.03, <italic>P</italic> = 0.99</td>
<td>
<italic>F</italic> = 0.38, <italic>P</italic> = 0.76</td>
<td>
<italic>F</italic> = 0.4, <italic>P</italic> = 0.75</td>
<td>
<italic>F</italic> = 0.82, <italic>P</italic> = 0.45</td>
<td>
<italic>F</italic> = 1.5, <italic>P</italic> = 0.22</td>
<td>
<italic>F</italic> = 0.69, <italic>P</italic> = 0.56</td>
<td>
<italic>F</italic> = 0.23, <italic>P</italic> = 0.87</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p id="t6-fn-1">Standard deviations (SD) are shown in parentheses. Data are from the Genomics of Drug Sensitivity in Cancer (GDSC) project. NA: not available; APC: adenomatous polyposis coli</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p id="p-17">RNAi and CRISPR arrays showed that knock out or knock down of at least one of the four WNT/β-catenin pathway genes of interest (<italic>APC</italic>, <italic>RNF43</italic>, <italic>CTNNB1</italic>, and <italic>TCF7L2</italic>) in all but one of the cell lines of the quadruple mutated group produced significant growth delay gene effect (Z-score &lt; –2.5). Most cell lines of the group were sensitive to the knock out or knock down of <italic>CTNNB1</italic> (<xref ref-type="table" rid="t7">Tables 7</xref> and <xref ref-type="table" rid="t8">8</xref>). In the group of <italic>APC</italic> only altered colorectal cancer cell lines, knock out or knock down of <italic>APC</italic> had in general no significant effect. In contrast, growth delay was observed with RNAi knock down and even more with CRISPR knock out of <italic>CTNNB1</italic> and <italic>TCF7L2</italic>, which are downstream of the pathway defect in these cells (<xref ref-type="table" rid="t7">Tables 7</xref> and <xref ref-type="table" rid="t8">8</xref>). Some cell lines of the triple altered group were also sensitive to knock out or knock down of <italic>CTNNB1</italic> and <italic>TCF7L2</italic>, but others were resistant to all four genes knock out or knock down. Data for quadruple wild type cell lines were limited and were available for one cell line for RNAi and three cell lines for CRISPR (<xref ref-type="table" rid="t7">Tables 7</xref> and <xref ref-type="table" rid="t8">8</xref>). Cell line LS513 displayed sensitivity to knock out and knock down of <italic>TCF7L2</italic> (Z-score &lt; –2.5), while cell lines C10 and C99 appeared to be resistant to knock down of all four genes.</p>
<table-wrap id="t7">
<label>Table 7</label>
<caption>
<p id="t7-p-1">
<bold>RNA interference (RNAi) in colorectal cancer cell lines with or without APC and other WNT/β-catenin pathway mutations</bold>
</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2">
<bold>Cell line</bold>
</th>
<th colspan="3">
<bold>
<italic>APC</italic>
</bold>
</th>
<th colspan="3">
<bold>
<italic>RNF43</italic>
</bold>
</th>
<th colspan="3">
<bold>
<italic>CTNNB1</italic>
</bold>
</th>
<th colspan="3">
<bold>
<italic>TCF7L2</italic>
</bold>
</th>
</tr>
<tr>
<th>
<bold>Gene effect</bold>
</th>
<th>
<bold>Z-score</bold>
</th>
<th>
<bold>Rank</bold>
</th>
<th>
<bold>Gene effect</bold>
</th>
<th>
<bold>Z-score</bold>
</th>
<th>
<bold>Rank</bold>
</th>
<th>
<bold>Gene effect</bold>
</th>
<th>
<bold>Z-score</bold>
</th>
<th>
<bold>Rank</bold>
</th>
<th>
<bold>Gene effect</bold>
</th>
<th>
<bold>Z-score</bold>
</th>
<th>
<bold>Rank</bold>
</th>
</tr>
</thead>
<tbody>
<tr>
<td colspan="13">Quadruple mutated</td>
</tr>
<tr>
<td>CL-34</td>
<td>–0.58</td>
<td>–2.67</td>
<td>8</td>
<td>–0.18</td>
<td>–0.57</td>
<td>1,040</td>
<td>–1.87</td>
<td>–3.01</td>
<td>4</td>
<td>–0.3</td>
<td>–1.12</td>
<td>275</td>
</tr>
<tr>
<td>CW-2</td>
<td>–0.18</td>
<td>–0.89</td>
<td>2,285</td>
<td>0.3</td>
<td>2.7</td>
<td>7,993</td>
<td>–4.71</td>
<td>–8.3</td>
<td>3</td>
<td>–0.61</td>
<td>–2.66</td>
<td>354</td>
</tr>
<tr>
<td>GP2d</td>
<td>–0.82</td>
<td>–3.78</td>
<td>4</td>
<td>–0.15</td>
<td>–0.4</td>
<td>3,379</td>
<td>–2.06</td>
<td>–3.36</td>
<td>7</td>
<td>–0.16</td>
<td>–0.41</td>
<td>3,310</td>
</tr>
<tr>
<td>HCT-15</td>
<td>0.05</td>
<td>0.23</td>
<td>5,480</td>
<td>–0.01</td>
<td>0.55</td>
<td>6,368</td>
<td>–1.94</td>
<td>–3.14</td>
<td>97</td>
<td>0.06</td>
<td>0.71</td>
<td>6,728</td>
</tr>
<tr>
<td>KM12</td>
<td>–0.28</td>
<td>–1.3</td>
<td>790</td>
<td>–0.2</td>
<td>–0.67</td>
<td>2,741</td>
<td>–1.8</td>
<td>–2.89</td>
<td>28</td>
<td>–0.11</td>
<td>–0.17</td>
<td>5,904</td>
</tr>
<tr>
<td>LoVo</td>
<td>–0.42</td>
<td>–1.93</td>
<td>254</td>
<td>–0.19</td>
<td>–0.61</td>
<td>3,380</td>
<td>–1.66</td>
<td>–2.63</td>
<td>45</td>
<td>–0.14</td>
<td>–0.3</td>
<td>5,135</td>
</tr>
<tr>
<td>LS411N</td>
<td>–0.51</td>
<td>–2.35</td>
<td>159</td>
<td>–0.02</td>
<td>–0.52</td>
<td>8,767</td>
<td>–2.18</td>
<td>–3.6</td>
<td>21</td>
<td>0.02</td>
<td>0.51</td>
<td>8,707</td>
</tr>
<tr>
<td>SNU-C2A</td>
<td>0.54</td>
<td>2.46</td>
<td>12,975</td>
<td>–0.06</td>
<td>0.24</td>
<td>8,690</td>
<td>–0.17</td>
<td>0.15</td>
<td>8,195</td>
<td>–0.28</td>
<td>–1</td>
<td>2,370</td>
</tr>
<tr>
<td>SNU-C4</td>
<td>–0.38</td>
<td>–1.79</td>
<td>101</td>
<td>–0.16</td>
<td>–0.46</td>
<td>1,606</td>
<td>–2.04</td>
<td>–3.34</td>
<td>16</td>
<td>–0.27</td>
<td>–0.94</td>
<td>550</td>
</tr>
<tr>
<td colspan="13">APC only mutated</td>
</tr>
<tr>
<td>CACO2</td>
<td>0.08</td>
<td>0.34</td>
<td>10,937</td>
<td>–0.16</td>
<td>–0.41</td>
<td>6,307</td>
<td>–0.91</td>
<td>–1.23</td>
<td>2,220</td>
<td>0.11</td>
<td>0.96</td>
<td>13,729</td>
</tr>
<tr>
<td>COLO 201</td>
<td>–0.18</td>
<td>–0.85</td>
<td>2,324</td>
<td>0.009</td>
<td>0.73</td>
<td>5,956</td>
<td>–2</td>
<td>–3.2</td>
<td>107</td>
<td>–1.35</td>
<td>–6.34</td>
<td>5</td>
</tr>
<tr>
<td>MDST8</td>
<td>0.08</td>
<td>0.36</td>
<td>4,453</td>
<td>0.07</td>
<td>1.17</td>
<td>6,420</td>
<td>–0.64</td>
<td>–0.73</td>
<td>1,816</td>
<td>–0.16</td>
<td>–0.43</td>
<td>2,428</td>
</tr>
<tr>
<td>SK-CO-1</td>
<td>–0.72</td>
<td>–3.31</td>
<td>28</td>
<td>0.04</td>
<td>0.99</td>
<td>11,450</td>
<td>–1.65</td>
<td>–2.6</td>
<td>64</td>
<td>–0.47</td>
<td>–1.97</td>
<td>177</td>
</tr>
<tr>
<td>SW1417</td>
<td>–0.18</td>
<td>–0.86</td>
<td>1,711</td>
<td>–0.19</td>
<td>–0.66</td>
<td>2,323</td>
<td>0.09</td>
<td>0.65</td>
<td>9,553</td>
<td>–0.3</td>
<td>–1.12</td>
<td>1,075</td>
</tr>
<tr>
<td colspan="13">Triple mutated</td>
</tr>
<tr>
<td>HCT 116</td>
<td>–0.05</td>
<td>–0.27</td>
<td>4,669</td>
<td>–0.2</td>
<td>–0.69</td>
<td>2,279</td>
<td>–0.56</td>
<td>–0.58</td>
<td>2,766</td>
<td>–0.28</td>
<td>–0.99</td>
<td>1,297</td>
</tr>
<tr>
<td>NCI-H508</td>
<td>–0.11</td>
<td>–0.53</td>
<td>3,510</td>
<td>–0.26</td>
<td>–1.08</td>
<td>1,563</td>
<td>–1.13</td>
<td>–1.64</td>
<td>509</td>
<td>–0.72</td>
<td>–3.23</td>
<td>10</td>
</tr>
<tr>
<td>NCI-H716</td>
<td>0.05</td>
<td>0.23</td>
<td>7,744</td>
<td>0.04</td>
<td>1</td>
<td>11,047</td>
<td>–0.12</td>
<td>0.23</td>
<td>7,758</td>
<td>0.1</td>
<td>0.92</td>
<td>10,816</td>
</tr>
<tr>
<td>RKO</td>
<td>0.07</td>
<td>0.29</td>
<td>8,335</td>
<td>–0.15</td>
<td>–0.36</td>
<td>3,192</td>
<td>–0.05</td>
<td>0.36</td>
<td>8,962</td>
<td>0.03</td>
<td>0.56</td>
<td>10,424</td>
</tr>
<tr>
<td>SNU-407</td>
<td>0.2</td>
<td>0.89</td>
<td>6,985</td>
<td>–0.17</td>
<td>–0.48</td>
<td>3,041</td>
<td>–2.84</td>
<td>–4.83</td>
<td>7</td>
<td>–0.68</td>
<td>–3.03</td>
<td>68</td>
</tr>
<tr>
<td colspan="13">Quadruple wild type</td>
</tr>
<tr>
<td>LS513</td>
<td>–0.28</td>
<td>–1.32</td>
<td>1,188</td>
<td>–0.02</td>
<td>0.47</td>
<td>8,506</td>
<td>–1.63</td>
<td>–2.57</td>
<td>107</td>
<td>–0.63</td>
<td>–2.75</td>
<td>66</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p id="t7-fn-1">Data were from project Achilles, Drive, Marcotte DEMETER2. The Z-score was computed as the gene effect minus the mean across cell line models divided by the standard deviation (SD). Not all cell lines of the original cohorts had data available in the RNAi arrays. APC: adenomatous polyposis coli</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="t8">
<label>Table 8</label>
<caption>
<p id="t8-p-1">
<bold>Gene knocks out with CRISPR in colorectal cancer cell lines with or without APC and other WNT/β-catenin pathway mutations</bold>
</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2">
<bold>Cell line</bold>
</th>
<th colspan="3">
<bold>
<italic>APC</italic>
</bold>
</th>
<th colspan="3">
<bold>
<italic>RNF43</italic>
</bold>
</th>
<th colspan="3">
<bold>
<italic>CTNNB1</italic>
</bold>
</th>
<th colspan="3">
<bold>
<italic>TCF7L2</italic>
</bold>
</th>
</tr>
<tr>
<th>
<bold>Gene effect</bold>
</th>
<th>
<bold>Z-score</bold>
</th>
<th>
<bold>Rank</bold>
</th>
<th>
<bold>Gene effect</bold>
</th>
<th>
<bold>Z-score</bold>
</th>
<th>
<bold>Rank</bold>
</th>
<th>
<bold>Gene effect</bold>
</th>
<th>
<bold>Z-score</bold>
</th>
<th>
<bold>Rank</bold>
</th>
<th>
<bold>Gene effect</bold>
</th>
<th>
<bold>Z-score</bold>
</th>
<th>
<bold>Rank</bold>
</th>
</tr>
</thead>
<tbody>
<tr>
<td colspan="13">Quadruple mutated</td>
</tr>
<tr>
<td>HCT-15</td>
<td>–0.27</td>
<td>0.23</td>
<td>10,419</td>
<td>–0.07</td>
<td>–0.7</td>
<td>3,831</td>
<td>–1.36</td>
<td>–3.08</td>
<td>122</td>
<td>0.09</td>
<td>0.75</td>
<td>13,906</td>
</tr>
<tr>
<td>KM12</td>
<td>–0.21</td>
<td>0.45</td>
<td>12,777</td>
<td>0.19</td>
<td>1.67</td>
<td>17,604</td>
<td>–1.42</td>
<td>–3.22</td>
<td>15</td>
<td>–0.25</td>
<td>–0.65</td>
<td>3,705</td>
</tr>
<tr>
<td>LoVo</td>
<td>–0.44</td>
<td>–0.42</td>
<td>5,884</td>
<td>–0.12</td>
<td>–1.11</td>
<td>2,469</td>
<td>–1.16</td>
<td>–2.54</td>
<td>189</td>
<td>–0.47</td>
<td>–1.55</td>
<td>1,284</td>
</tr>
<tr>
<td>LS411N</td>
<td>–0.13</td>
<td>0.76</td>
<td>12,095</td>
<td>0.03</td>
<td>0.25</td>
<td>9,534</td>
<td>–2.51</td>
<td>–6.15</td>
<td>19</td>
<td>–0.6</td>
<td>–2.09</td>
<td>1,222</td>
</tr>
<tr>
<td>SNU-C4</td>
<td>–0.61</td>
<td>–1.06</td>
<td>2,218</td>
<td>0.13</td>
<td>1.13</td>
<td>15,995</td>
<td>–1.72</td>
<td>–4.04</td>
<td>11</td>
<td>–1</td>
<td>–3.69</td>
<td>21</td>
</tr>
<tr>
<td>SNU-C5</td>
<td>–0.35</td>
<td>–0.08</td>
<td>7,663</td>
<td>–0.04</td>
<td>–0.42</td>
<td>5,354</td>
<td>–0.32</td>
<td>–0.27</td>
<td>6,313</td>
<td>–0.22</td>
<td>–0.55</td>
<td>4,629</td>
</tr>
<tr>
<td colspan="13">APC only mutated</td>
</tr>
<tr>
<td>C75</td>
<td>–0.13</td>
<td>0.75</td>
<td>12,681</td>
<td>0.21</td>
<td>1.9</td>
<td>16,539</td>
<td>–1.2</td>
<td>–2.64</td>
<td>477</td>
<td>–0.92</td>
<td>–3.37</td>
<td>155</td>
</tr>
<tr>
<td>C80</td>
<td>0.13</td>
<td>1.82</td>
<td>16,873</td>
<td>–0.006</td>
<td>–0.09</td>
<td>8,039</td>
<td>–1.12</td>
<td>–2.42</td>
<td>456</td>
<td>–0.71</td>
<td>–2.5</td>
<td>401</td>
</tr>
<tr>
<td>C84</td>
<td>–0.76</td>
<td>–1.66</td>
<td>1,204</td>
<td>0.06</td>
<td>0.53</td>
<td>11,781</td>
<td>–2.11</td>
<td>–5.09</td>
<td>4</td>
<td>–0.79</td>
<td>–2.84</td>
<td>174</td>
</tr>
<tr>
<td>COLO 201</td>
<td>–0.28</td>
<td>0.18</td>
<td>10,692</td>
<td>0.06</td>
<td>0.56</td>
<td>14,017</td>
<td>–1.9</td>
<td>–4.52</td>
<td>14</td>
<td>–0.91</td>
<td>–3.32</td>
<td>37</td>
</tr>
<tr>
<td>DiFi</td>
<td>–0.05</td>
<td>1.06</td>
<td>13,404</td>
<td>0.1</td>
<td>0.9</td>
<td>12,728</td>
<td>–1.08</td>
<td>–2.31</td>
<td>924</td>
<td>–0.6</td>
<td>–2.09</td>
<td>1,219</td>
</tr>
<tr>
<td>HCC2998</td>
<td>–0.35</td>
<td>–0.07</td>
<td>7,755</td>
<td>–0.02</td>
<td>–0.26</td>
<td>6,743</td>
<td>–1.58</td>
<td>–3.65</td>
<td>195</td>
<td>–0.69</td>
<td>–2.44</td>
<td>746</td>
</tr>
<tr>
<td>MDST8</td>
<td>–0.39</td>
<td>–0.24</td>
<td>6,913</td>
<td>0.06</td>
<td>0.51</td>
<td>12,398</td>
<td>–0.89</td>
<td>–1.82</td>
<td>777</td>
<td>–0.05</td>
<td>0.13</td>
<td>9,717</td>
</tr>
<tr>
<td>SW1116</td>
<td>–0.43</td>
<td>–0.37</td>
<td>4,910</td>
<td>0.03</td>
<td>0.32</td>
<td>12,360</td>
<td>–0.35</td>
<td>–0.36</td>
<td>4,978</td>
<td>–0.74</td>
<td>–2.62</td>
<td>73</td>
</tr>
<tr>
<td colspan="13">Triple mutated</td>
</tr>
<tr>
<td>HCC-56</td>
<td>0.05</td>
<td>1.51</td>
<td>16,795</td>
<td>0.1</td>
<td>0.88</td>
<td>14,525</td>
<td>–0.53</td>
<td>–0.84</td>
<td>3,428</td>
<td>–0.71</td>
<td>–2.52</td>
<td>182</td>
</tr>
<tr>
<td>HCT 116</td>
<td>–0.12</td>
<td>0.81</td>
<td>13,695</td>
<td>0.05</td>
<td>0.41</td>
<td>11,203</td>
<td>–0.61</td>
<td>–1.07</td>
<td>2,413</td>
<td>–0.52</td>
<td>–1.75</td>
<td>953</td>
</tr>
<tr>
<td>LS1034</td>
<td>0.28</td>
<td>2.38</td>
<td>17,489</td>
<td>0.23</td>
<td>2.03</td>
<td>17,082</td>
<td>–1.71</td>
<td>–4.01</td>
<td>43</td>
<td>–1.03</td>
<td>–3.78</td>
<td>63</td>
</tr>
<tr>
<td>NCI-H716</td>
<td>–0.34</td>
<td>–0.05</td>
<td>7,958</td>
<td>0.04</td>
<td>0.41</td>
<td>10,878</td>
<td>0.01</td>
<td>0.61</td>
<td>12,069</td>
<td>0.09</td>
<td>0.72</td>
<td>12,712</td>
</tr>
<tr>
<td>RKO</td>
<td>0.01</td>
<td>1.36</td>
<td>17,773</td>
<td>0.07</td>
<td>0.66</td>
<td>15,835</td>
<td>–0.06</td>
<td>0.4</td>
<td>13,860</td>
<td>–0.02</td>
<td>0.23</td>
<td>12,188</td>
</tr>
<tr>
<td colspan="13">Quadruple wild type</td>
</tr>
<tr>
<td>C10</td>
<td>–0.72</td>
<td>–1.51</td>
<td>1,919</td>
<td>–0.01</td>
<td>–0.14</td>
<td>7,219</td>
<td>–0.05</td>
<td>0.44</td>
<td>10,809</td>
<td>–0.08</td>
<td>0.01</td>
<td>8,181</td>
</tr>
<tr>
<td>C99</td>
<td>–0.25</td>
<td>0.3</td>
<td>10,691</td>
<td>0.02</td>
<td>0.15</td>
<td>9,788</td>
<td>–1.09</td>
<td>–2.35</td>
<td>563</td>
<td>–0.52</td>
<td>–1.75</td>
<td>1,355</td>
</tr>
<tr>
<td>LS513</td>
<td>–0.18</td>
<td>0.57</td>
<td>12,725</td>
<td>–0.09</td>
<td>–0.85</td>
<td>3,479</td>
<td>–1</td>
<td>–2.11</td>
<td>496</td>
<td>–0.77</td>
<td>–2.75</td>
<td>176</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p id="t8-fn-1">Data are from the DepMap, Public 24Q2+Score, and Chronos projects. The Z-score was computed as the gene effect minus the mean across cell line models divided by the standard deviation (SD). Not all cell lines of the original cohorts had data available in the CRISPR arrays. APC: adenomatous polyposis coli</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4">
<title>Discussion</title>
<p id="p-18">The WNT/β-catenin/APC pathway provides physiologic signals for the maintenance of the stem cells in the intestinal crypts [<xref ref-type="bibr" rid="B31">31</xref>]. Paneth cells in the crypts as well as mesenchymal cells surrounding the crypt epithelium secrete ligands of the pathway and lead to the physiologic activation of cell proliferation of the stem cells through cyclin D induction. Activation signals and the activity status of the WNT/β-catenin/APC pathway decrease with increasing distance from the bottom of the crypt and along the intestinal villi. In contrast, the gradient of activity of the bone morphogenic protein (BMP) signaling pathway, which counteracts WNT/β-catenin/APC pathway activity and promotes differentiation, increases from the bottom of the crypt and towards the tip of villi [<xref ref-type="bibr" rid="B31">31</xref>]. In addition to WNT/β-catenin activity, the crypt micro-environment displays increased activity of the EGFR pathway. EGFR signals are critical for the proliferation of intestinal stem cells, as well as for orchestrating metabolic processes [<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>]. In colorectal cancer, the WNT/β-catenin/APC pathway is aberrantly activated through mutations in <italic>APC</italic> and less frequently mutations in other pathway genes, which result in autonomous signaling without external signals from the micro-environment through receptor ligation [<xref ref-type="bibr" rid="B34">34</xref>]. The deregulated activity of the pathway endows cancer cells with properties of stem cells such as increased self-renewal, increased proliferation potential, and drug resistance [<xref ref-type="bibr" rid="B35">35</xref>]. Therefore, inhibition of the aberrantly activated pathway could be a rational target for colorectal cancer therapies.</p>
<p id="p-19">In the current investigation, the genomic landscape of sub-sets of colorectal cancers based on the presence of alterations in four key WNT/β-catenin/APC pathway genes has been established using data from the colorectal cancer cohort of TCGA. Therapeutic sensitivities to drugs inhibiting the pathway were explored in cell lines, according to the presence of WNT/β-catenin/APC pathway alterations. It was discovered that colorectal cancers possessed significant differences in their genomic profile dependent on whether the WNT/β-catenin/APC pathway was activated through alterations in <italic>APC</italic> or through alterations in three alternative genes of the pathway, <italic>RNF43</italic>, <italic>CTNNB1</italic>, and <italic>TCF7L2</italic>. Colorectal cancers with alterations in <italic>RNF43</italic>, <italic>CTNNB1</italic>, and <italic>TCF7L2</italic> without <italic>APC</italic> alterations presented more commonly MSI and a high TMB. In addition, cancers with alterations in <italic>RNF43</italic>, <italic>CTNNB1</italic>, and <italic>TCF7L2</italic> displayed high rates of mutations in receptor tyrosine kinases, MMR-associated genes and DDR-associated genes, independently of the presence or absence of concomitant <italic>APC</italic> alterations. Cell lines of colorectal cancer origin partially recapitulated the landscape of WNT/β-catenin/APC pathway alterations, being more frequently mutated for <italic>APC</italic> than the other genes of the pathway, but some features of the patient sample groups were not well represented. For example, cell lines of the quadruple altered group were mostly MSI high, while MSI high cases comprised 22.1% of the patient samples in the quadruple altered group. In addition, the prevalence of <italic>BRAF</italic> mutations in triple altered cell lines was not higher than the prevalence in quadruple altered and <italic>APC</italic> only altered cell lines, in contrast to patient samples where the prevalence of <italic>BRAF</italic> mutations in triple altered cases were significantly higher than in the other groups. This divergence of the molecular landscape between patient samples and cell lines needs to be considered when evaluating studies based on cell lines. Studies of in vitro sensitivity to inhibitors of the WNT/β-catenin pathway and EGFR inhibitors were limited by the small number of cell lines, but a numerical greater sensitivity of wild type cell lines for the key genes of the WNT/β-catenin/APC pathway to several of these inhibitors was observed. RNAi and CRISPR arrays suggested the sensitivity of quadruple mutant cell lines to knock down or knock out of <italic>APC</italic> or other genes of the pathway, while <italic>APC</italic> only altered cell lines were mostly resistant to <italic>APC</italic> knock down or knock out but sensitive to knock down or knock out of other genes of the pathway, especially <italic>CTNNB1</italic>, encoding for β-catenin. These data confirm that the specific alterations in the WNT/β-catenin/APC pathway modulate sensitivities to additional interventions affecting pathway activity.</p>
<p id="p-20">Drugs inhibiting two types of enzymes that function in the activation of the WNT/β-catenin pathway, porcupine and tankyrases 1 and 2 have been included in the panel of drugs tested in the GDSC [<xref ref-type="bibr" rid="B19">19</xref>]. Porcupine is a membrane-bound <italic>o</italic>-acyltransferase which is a crucial enzyme for the lipidation of ligands of the WNT pathway, a process that is a prerequisite for their secretion and subsequent receptor binding for signaling [<xref ref-type="bibr" rid="B36">36</xref>]. Inhibitors of the enzyme have progressed to early-phase clinical trials. The inhibitor WNT974 was studied in combination with encorafenib and cetuximab in a phase Ib/II trial of patients with <italic>BRAF</italic> V600E mutated, <italic>KRAS</italic> wild type metastatic colorectal cancer [<xref ref-type="bibr" rid="B37">37</xref>]. Selection for alterations in the WNT/β-catenin pathway was not performed in this trial. The triple combination showed a low overall response rate of 10%. In addition, serious adverse events including several patients with bone fractures, as well as hypercalcemia and pleural effusions were observed. Fractures are an on-target adverse effect, as WNT signaling is involved in trabecular bone formation and prevention of resorption [<xref ref-type="bibr" rid="B38">38</xref>]. Therefore, more advanced trial development of the drug was interrupted.</p>
<p id="p-21">Tankyrases 1 and 2, also called PARP5A and PARP5B, are enzymes of the PARP family that perform the enzymatic PARylation promoting subsequent axin ubiquitination and degradation, and, as a result, β-catenin stabilization [<xref ref-type="bibr" rid="B39">39</xref>]. Phosphorylation of axin by Casein kinase 1 is a negative regulator of the WNT/β-catenin signaling. This phosphorylation of axin involves the same site as PARylation and prevents PARylation by tankyrases [<xref ref-type="bibr" rid="B40">40</xref>]. Moreover, tankyrases have additional enzymatic targets, including <italic>PTEN</italic>, angiomotins, and DNA-associated protein kinase (DNA-PK), through which they promote the activity of PI3K/AKT pathway, the YAP pathway and DNA repair by the error-prone non-homologous end joining (NHEJ) mechanism. Therefore, discovery of clinical-grade tankyrase inhibitors has been prioritized as a potential anti-cancer therapeutic strategy with several compounds examined in pre-clinical studies [<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B41">41</xref>]. For example, the inhibitors XAV939 and IWR-1 have been effective in inhibiting β-catenin transcription activity by promoting its degradation in colorectal cancer cells [<xref ref-type="bibr" rid="B42">42</xref>].</p>
<p id="p-22">Blocking the WNT/β-catenin pathway at the level of ligand secretion or enhancing β-catenin destruction in colorectal cancers with <italic>APC</italic> mutations may not be the most effective strategies, as deregulated signaling is independent of pathway receptor engagement with ligands and the destruction complex assembly is already defective. Approaches to block the WNT/β-catenin pathway in cancers with <italic>APC</italic> mutations, such as the great majority of colorectal cancers, would require inhibitors of processes downstream of the defective β-catenin destructive complex. In this vein, inhibitors of the TRAF2 and NCK interacting protein kinase (TNIK), which regulates the TCF7L2/β-catenin transcription complex, and inhibitors of the interaction of β-catenin with acetyltransferase CBP have been discovered [<xref ref-type="bibr" rid="B43">43</xref>]. <italic>TCF7L2</italic> is a target for phosphorylation by kinase TNIK and this phosphorylation is crucial for transcription of target genes of the TCF7L2/β-catenin complex [<xref ref-type="bibr" rid="B44">44</xref>]. TNIK is also involved in other cancer-associated processes through alternative targets including AKT signaling, autophagy and the epithelial to mesenchymal transition, and modulation of these processes would also have to be considered when targeting the kinase. Moreover, it would be of interest to investigate how pathogenic or non-pathogenic <italic>TCF7L2</italic> mutations affect the sensitivity of cancer cells to TNIK inhibitors. In contrast to cancers with <italic>APC</italic> or other defects in the β-catenin destruction complex, colorectal cancers with <italic>RNF43</italic> mutations may retain WNT pathway ligands dependence and may as a result be better targets for porcupine and tankyrase inhibitors [<xref ref-type="bibr" rid="B45">45</xref>].</p>
<p id="p-23">In conclusion, therapeutic inhibition of the WNT/β-catenin pathway in colorectal cancers, which possess in their majority <italic>APC</italic> mutations but also present, in a significant minority of cases, mutations in other key proteins of the pathway, needs to be developed with these specific alterations taken into consideration. The specific alteration of the WNT/β-catenin pathway present in a given colorectal cancer is of significant importance given that different proteins of the pathway play additional roles in cancer-associated cellular functions independent of WNT signaling. For example, <italic>APC</italic> has function in mitotic spindle integrity and cell cycle control [<xref ref-type="bibr" rid="B46">46</xref>]. In another example, β-catenin has roles, beyond the WNT pathway, in cell adhesion and transcription cooperation with other pathways [<xref ref-type="bibr" rid="B47">47</xref>]. Data presented here may suggest that inhibitors that act at or upstream of the β-catenin destruction complex are more effective for the minority of colorectal cancers with no alterations in the main proteins of the WNT/β-catenin pathway. A rational development strategy for these inhibitors selecting patients according to the presence or absence of target pathway alterations may increase the chances of therapeutic success.</p>
</sec>
</body>
<back>
<glossary>
<title>Abbreviations</title>
<def-list>
<def-item>
<term>APC</term>
<def>
<p>adenomatous polyposis coli</p>
</def>
</def-item>
<def-item>
<term>AS</term>
<def>
<p>aneuploidy score</p>
</def>
</def-item>
<def-item>
<term>CCLE</term>
<def>
<p>Cancer Cell Line Encyclopedia</p>
</def>
</def-item>
<def-item>
<term>CIN</term>
<def>
<p>chromosomal instability</p>
</def>
</def-item>
<def-item>
<term>CRISPR</term>
<def>
<p>Clustered Regularly Interspaced Short Palindromic Repeats</p>
</def>
</def-item>
<def-item>
<term>GDSC</term>
<def>
<p>Genomics of Drug Sensitivity in Cancer</p>
</def>
</def-item>
<def-item>
<term>GISTIC</term>
<def>
<p>Genomic Identification of Significant Targets in Cancer</p>
</def>
</def-item>
<def-item>
<term>MMR</term>
<def>
<p>mismatch repair</p>
</def>
</def-item>
<def-item>
<term>MSI</term>
<def>
<p>microsatellite instability</p>
</def>
</def-item>
<def-item>
<term>RNAi</term>
<def>
<p>RNA interference</p>
</def>
</def-item>
<def-item>
<term>TCGA</term>
<def>
<p>the Cancer Genome Atlas</p>
</def>
</def-item>
<def-item>
<term>TMB</term>
<def>
<p>tumor mutation burden</p>
</def>
</def-item>
<def-item>
<term>TNIK</term>
<def>
<p>TRAF2 and NCK interacting protein kinase</p>
</def>
</def-item>
</def-list>
</glossary>
<sec id="s5">
<title>Declarations</title>
<sec id="t-5-1">
<title>Author contributions</title>
<p>IAV: Conceptualization, Investigation, Writing—original draft, Writing—review &amp; editing.</p>
</sec>
<sec id="t-5-2" sec-type="COI-statement">
<title>Conflicts of interest</title>
<p>The author declares that there have no conflicts of interest.</p>
</sec>
<sec id="t-5-3">
<title>Ethical approval</title>
<p>The study was an analysis of previously published data and was exempt from approval by an Ethics Committee.</p>
</sec>
<sec id="t-5-4">
<title>Consent to participate</title>
<p>The study was an analysis of previously published data and informed consent was not required or obtained.</p>
</sec>
<sec id="t-5-5">
<title>Consent to publication</title>
<p>Not applicable.</p>
</sec>
<sec id="t-5-6" sec-type="data-availability">
<title>Availability of data and materials</title>
<p>The datasets analyzed for this study can be found in the Cancer Genome Atlas [<uri xlink:href="http://www.cancer.gov/ccg/">http://www.cancer.gov/ccg/</uri>]; Cancer Cell Line Encyclopedia [<uri xlink:href="http://www.sites.broadintitute.org/ccle/">http://www.sites.broadintitute.org/ccle/</uri>]; Genomics of Drug Sensitivity in Cancer (GDSC) project [<uri xlink:href="http://www.cancerrxgene.org">http://www.cancerrxgene.org</uri>]; project Achilles, Drive, Marcotte DEMETER2 [<uri xlink:href="http://www.depmap.org/portal/achilles">http://www.depmap.org/portal/achilles</uri>]; DepMap, Public 24Q2+Score, and Chronos projects [<uri xlink:href="http://www.depmap.org">http://www.depmap.org</uri>].</p>
</sec>
<sec id="t-5-7">
<title>Funding</title>
<p>Not applicable.</p>
</sec>
<sec id="t-5-8">
<title>Copyright</title>
<p>© The Author(s) 2025.</p>
</sec>
</sec>
<sec id="s6">
<title>Publisher’s note</title>
<p>Open Exploration maintains a neutral stance on jurisdictional claims in published institutional affiliations and maps. All opinions expressed in this article are the personal views of the author(s) and do not represent the stance of the editorial team or the publisher.</p>
</sec>
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