APC and TP53 Mutations Predict Cetuximab Sensitivity across Consensus Molecular Subtypes
Recently, it was suggested that consensus molecular subtyping (CMS) may aide in predicting response to EGFR inhibitor (cetuximab) therapies. We recently identified that and as two tumor suppressor genes, when mutated, may enhance cetuximab sensitivity and may represent easily measured biomarkers in...
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Veröffentlicht in: | Cancers 2021-10, Vol.13 (21), p.5394 |
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description | Recently, it was suggested that consensus molecular subtyping (CMS) may aide in predicting response to EGFR inhibitor (cetuximab) therapies. We recently identified that
and
as two tumor suppressor genes, when mutated, may enhance cetuximab sensitivity and may represent easily measured biomarkers in tumors or blood. Our study aimed to use
and
mutations (AP) to refine the CMS classification to better predict responses to cetuximab. In total, 433 CRC tumors were classified into CMS1-4 subtypes. The cetuximab sensitivity (CTX-S) signature scores of AP vs. non-AP tumors were determined across each of the CMS classes. Tumors harboring combined AP mutations were predominantly enriched in the CMS2 class, and to a lesser degree, in the CMS4 class. On the other hand, AP mutated CRCs had significantly higher CTX-S scores compared to non-AP CRCs across
CMS classes. Similar results were also obtained in independent TCGA tumor collections (
= 531) and in PDMR PDX/PDO/PDC models (
= 477). In addition, the in vitro cetuximab growth inhibition was preferentially associated with the CMS2 cell lines harboring A/P genotypes. In conclusion, the AP mutation signature represents a convenient biomarker that refines the CMS classification to identify CRC subpopulations predicted to be sensitive to EGFR targeted therapies. |
doi_str_mv | 10.3390/cancers13215394 |
format | Article |
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and
as two tumor suppressor genes, when mutated, may enhance cetuximab sensitivity and may represent easily measured biomarkers in tumors or blood. Our study aimed to use
and
mutations (AP) to refine the CMS classification to better predict responses to cetuximab. In total, 433 CRC tumors were classified into CMS1-4 subtypes. The cetuximab sensitivity (CTX-S) signature scores of AP vs. non-AP tumors were determined across each of the CMS classes. Tumors harboring combined AP mutations were predominantly enriched in the CMS2 class, and to a lesser degree, in the CMS4 class. On the other hand, AP mutated CRCs had significantly higher CTX-S scores compared to non-AP CRCs across
CMS classes. Similar results were also obtained in independent TCGA tumor collections (
= 531) and in PDMR PDX/PDO/PDC models (
= 477). In addition, the in vitro cetuximab growth inhibition was preferentially associated with the CMS2 cell lines harboring A/P genotypes. In conclusion, the AP mutation signature represents a convenient biomarker that refines the CMS classification to identify CRC subpopulations predicted to be sensitive to EGFR targeted therapies.</description><identifier>ISSN: 2072-6694</identifier><identifier>EISSN: 2072-6694</identifier><identifier>DOI: 10.3390/cancers13215394</identifier><identifier>PMID: 34771559</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adenomatous polyposis coli ; Biomarkers ; Cancer ; Classification ; Colorectal carcinoma ; Datasets ; Epidermal growth factor ; Epidermal growth factor receptors ; Gene expression ; Genotypes ; Growth factors ; Growth inhibition ; Medical prognosis ; Metabolism ; Metastases ; Metastasis ; Mutation ; p53 Protein ; Patients ; Quality control ; Therapeutic targets ; Tumor suppressor genes ; Tumors</subject><ispartof>Cancers, 2021-10, Vol.13 (21), p.5394</ispartof><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 by the authors. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c421t-787038ceec475dcf336b4c245c10a306917b6bcde7d66d7a7b82ac13003ca2953</citedby><cites>FETCH-LOGICAL-c421t-787038ceec475dcf336b4c245c10a306917b6bcde7d66d7a7b82ac13003ca2953</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8582550/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8582550/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34771559$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Thota, Ramya</creatorcontrib><creatorcontrib>Yang, Mingli</creatorcontrib><creatorcontrib>Pflieger, Lance</creatorcontrib><creatorcontrib>Schell, Michael J</creatorcontrib><creatorcontrib>Rajan, Malini</creatorcontrib><creatorcontrib>Davis, Thomas B</creatorcontrib><creatorcontrib>Wang, Heiman</creatorcontrib><creatorcontrib>Presson, Angela</creatorcontrib><creatorcontrib>Pledger, Warren Jack</creatorcontrib><creatorcontrib>Yeatman, Timothy J</creatorcontrib><title>APC and TP53 Mutations Predict Cetuximab Sensitivity across Consensus Molecular Subtypes</title><title>Cancers</title><addtitle>Cancers (Basel)</addtitle><description>Recently, it was suggested that consensus molecular subtyping (CMS) may aide in predicting response to EGFR inhibitor (cetuximab) therapies. We recently identified that
and
as two tumor suppressor genes, when mutated, may enhance cetuximab sensitivity and may represent easily measured biomarkers in tumors or blood. Our study aimed to use
and
mutations (AP) to refine the CMS classification to better predict responses to cetuximab. In total, 433 CRC tumors were classified into CMS1-4 subtypes. The cetuximab sensitivity (CTX-S) signature scores of AP vs. non-AP tumors were determined across each of the CMS classes. Tumors harboring combined AP mutations were predominantly enriched in the CMS2 class, and to a lesser degree, in the CMS4 class. On the other hand, AP mutated CRCs had significantly higher CTX-S scores compared to non-AP CRCs across
CMS classes. Similar results were also obtained in independent TCGA tumor collections (
= 531) and in PDMR PDX/PDO/PDC models (
= 477). In addition, the in vitro cetuximab growth inhibition was preferentially associated with the CMS2 cell lines harboring A/P genotypes. In conclusion, the AP mutation signature represents a convenient biomarker that refines the CMS classification to identify CRC subpopulations predicted to be sensitive to EGFR targeted therapies.</description><subject>Adenomatous polyposis coli</subject><subject>Biomarkers</subject><subject>Cancer</subject><subject>Classification</subject><subject>Colorectal carcinoma</subject><subject>Datasets</subject><subject>Epidermal growth factor</subject><subject>Epidermal growth factor receptors</subject><subject>Gene expression</subject><subject>Genotypes</subject><subject>Growth factors</subject><subject>Growth inhibition</subject><subject>Medical prognosis</subject><subject>Metabolism</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>Mutation</subject><subject>p53 Protein</subject><subject>Patients</subject><subject>Quality control</subject><subject>Therapeutic targets</subject><subject>Tumor suppressor genes</subject><subject>Tumors</subject><issn>2072-6694</issn><issn>2072-6694</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpdkUtLAzEUhYMoVtS1Owm4cVPNOzMbQQZf0GJBBXchk0k1Mp2peRT77422SjWbG-79crgnB4AjjM4oLdG50Z2xPmBKMKcl2wJ7BEkyFKJk2xv3ATgM4Q3lQymWQu6CAWVSYs7LPfB8Oamg7hr4OOEUjlPU0fVdgBNvG2cirGxMH26ma_hgu-CiW7i4hNr4PgRYZTJ3U4DjvrUmtdrDh1TH5dyGA7Az1W2wh-u6D56urx6r2-Ho_uauuhwNDSM4DmUhES2MtYZJ3pgppaJmhjBuMNIUiRLLWtSmsbIRopFa1gXRBtNsxmhScroPLla681TPbGNsF71u1dznpf1S9dqpv5POvaqXfqEKXhDOURY4XQv4_j3ZENXMBWPbVne2T0ERXkpWcs5wRk_-oW998l2290UJhClnLFPnK-r7k7yd_i6DkfoKTv0LLr843vTwy__ERD8BPXqVpQ</recordid><startdate>20211027</startdate><enddate>20211027</enddate><creator>Thota, Ramya</creator><creator>Yang, Mingli</creator><creator>Pflieger, Lance</creator><creator>Schell, Michael J</creator><creator>Rajan, Malini</creator><creator>Davis, Thomas B</creator><creator>Wang, Heiman</creator><creator>Presson, Angela</creator><creator>Pledger, Warren Jack</creator><creator>Yeatman, Timothy J</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T5</scope><scope>7TO</scope><scope>7XB</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20211027</creationdate><title>APC and TP53 Mutations Predict Cetuximab Sensitivity across Consensus Molecular Subtypes</title><author>Thota, Ramya ; Yang, Mingli ; Pflieger, Lance ; Schell, Michael J ; Rajan, Malini ; Davis, Thomas B ; Wang, Heiman ; Presson, Angela ; Pledger, Warren Jack ; Yeatman, Timothy J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c421t-787038ceec475dcf336b4c245c10a306917b6bcde7d66d7a7b82ac13003ca2953</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adenomatous polyposis coli</topic><topic>Biomarkers</topic><topic>Cancer</topic><topic>Classification</topic><topic>Colorectal carcinoma</topic><topic>Datasets</topic><topic>Epidermal growth factor</topic><topic>Epidermal growth factor receptors</topic><topic>Gene expression</topic><topic>Genotypes</topic><topic>Growth factors</topic><topic>Growth inhibition</topic><topic>Medical prognosis</topic><topic>Metabolism</topic><topic>Metastases</topic><topic>Metastasis</topic><topic>Mutation</topic><topic>p53 Protein</topic><topic>Patients</topic><topic>Quality control</topic><topic>Therapeutic targets</topic><topic>Tumor suppressor genes</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Thota, Ramya</creatorcontrib><creatorcontrib>Yang, Mingli</creatorcontrib><creatorcontrib>Pflieger, Lance</creatorcontrib><creatorcontrib>Schell, Michael J</creatorcontrib><creatorcontrib>Rajan, Malini</creatorcontrib><creatorcontrib>Davis, Thomas B</creatorcontrib><creatorcontrib>Wang, Heiman</creatorcontrib><creatorcontrib>Presson, Angela</creatorcontrib><creatorcontrib>Pledger, Warren Jack</creatorcontrib><creatorcontrib>Yeatman, Timothy J</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Immunology Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Cancers</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Thota, Ramya</au><au>Yang, Mingli</au><au>Pflieger, Lance</au><au>Schell, Michael J</au><au>Rajan, Malini</au><au>Davis, Thomas B</au><au>Wang, Heiman</au><au>Presson, Angela</au><au>Pledger, Warren Jack</au><au>Yeatman, Timothy J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>APC and TP53 Mutations Predict Cetuximab Sensitivity across Consensus Molecular Subtypes</atitle><jtitle>Cancers</jtitle><addtitle>Cancers (Basel)</addtitle><date>2021-10-27</date><risdate>2021</risdate><volume>13</volume><issue>21</issue><spage>5394</spage><pages>5394-</pages><issn>2072-6694</issn><eissn>2072-6694</eissn><abstract>Recently, it was suggested that consensus molecular subtyping (CMS) may aide in predicting response to EGFR inhibitor (cetuximab) therapies. We recently identified that
and
as two tumor suppressor genes, when mutated, may enhance cetuximab sensitivity and may represent easily measured biomarkers in tumors or blood. Our study aimed to use
and
mutations (AP) to refine the CMS classification to better predict responses to cetuximab. In total, 433 CRC tumors were classified into CMS1-4 subtypes. The cetuximab sensitivity (CTX-S) signature scores of AP vs. non-AP tumors were determined across each of the CMS classes. Tumors harboring combined AP mutations were predominantly enriched in the CMS2 class, and to a lesser degree, in the CMS4 class. On the other hand, AP mutated CRCs had significantly higher CTX-S scores compared to non-AP CRCs across
CMS classes. Similar results were also obtained in independent TCGA tumor collections (
= 531) and in PDMR PDX/PDO/PDC models (
= 477). In addition, the in vitro cetuximab growth inhibition was preferentially associated with the CMS2 cell lines harboring A/P genotypes. In conclusion, the AP mutation signature represents a convenient biomarker that refines the CMS classification to identify CRC subpopulations predicted to be sensitive to EGFR targeted therapies.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>34771559</pmid><doi>10.3390/cancers13215394</doi><oa>free_for_read</oa></addata></record> |
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subjects | Adenomatous polyposis coli Biomarkers Cancer Classification Colorectal carcinoma Datasets Epidermal growth factor Epidermal growth factor receptors Gene expression Genotypes Growth factors Growth inhibition Medical prognosis Metabolism Metastases Metastasis Mutation p53 Protein Patients Quality control Therapeutic targets Tumor suppressor genes Tumors |
title | APC and TP53 Mutations Predict Cetuximab Sensitivity across Consensus Molecular Subtypes |
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