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Integrative Pan-Cancer Genomic and Transcriptomic Analyses of Refractory Metastatic Cancer
Metastatic relapse after treatment is the leading cause of cancer mortality, and known resistance mechanisms are missing for most treatments administered to patients. To bridge this gap, we analyze a pan-cancer cohort (META-PRISM) of 1,031 refractory metastatic tumors profiled via whole-exome and tr...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for Cancer Research
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157368/ https://www.ncbi.nlm.nih.gov/pubmed/36862804 http://dx.doi.org/10.1158/2159-8290.CD-22-0966 |
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author | Pradat, Yoann Viot, Julien Yurchenko, Andrey A. Gunbin, Konstantin Cerbone, Luigi Deloger, Marc Grisay, Guillaume Verlingue, Loic Scott, Véronique Padioleau, Ismael Panunzi, Leonardo Michiels, Stefan Hollebecque, Antoine Jules-Clément, Gérôme Mezquita, Laura Lainé, Antoine Loriot, Yohann Besse, Benjamin Friboulet, Luc André, Fabrice Cournède, Paul-Henry Gautheret, Daniel Nikolaev, Sergey I. |
author_facet | Pradat, Yoann Viot, Julien Yurchenko, Andrey A. Gunbin, Konstantin Cerbone, Luigi Deloger, Marc Grisay, Guillaume Verlingue, Loic Scott, Véronique Padioleau, Ismael Panunzi, Leonardo Michiels, Stefan Hollebecque, Antoine Jules-Clément, Gérôme Mezquita, Laura Lainé, Antoine Loriot, Yohann Besse, Benjamin Friboulet, Luc André, Fabrice Cournède, Paul-Henry Gautheret, Daniel Nikolaev, Sergey I. |
author_sort | Pradat, Yoann |
collection | PubMed |
description | Metastatic relapse after treatment is the leading cause of cancer mortality, and known resistance mechanisms are missing for most treatments administered to patients. To bridge this gap, we analyze a pan-cancer cohort (META-PRISM) of 1,031 refractory metastatic tumors profiled via whole-exome and transcriptome sequencing. META-PRISM tumors, particularly prostate, bladder, and pancreatic types, displayed the most transformed genomes compared with primary untreated tumors. Standard-of-care resistance biomarkers were identified only in lung and colon cancers—9.6% of META-PRISM tumors, indicating that too few resistance mechanisms have received clinical validation. In contrast, we verified the enrichment of multiple investigational and hypothetical resistance mechanisms in treated compared with nontreated patients, thereby confirming their putative role in treatment resistance. Additionally, we demonstrated that molecular markers improve 6-month survival prediction, particularly in patients with advanced breast cancer. Our analysis establishes the utility of the META-PRISM cohort for investigating resistance mechanisms and performing predictive analyses in cancer. SIGNIFICANCE: This study highlights the paucity of standard-of-care markers that explain treatment resistance and the promise of investigational and hypothetical markers awaiting further validation. It also demonstrates the utility of molecular profiling in advanced-stage cancers, particularly breast cancer, to improve the survival prediction and assess eligibility to phase I clinical trials. This article is highlighted in the In This Issue feature, p. 1027 |
format | Online Article Text |
id | pubmed-10157368 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Association for Cancer Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-101573682023-05-05 Integrative Pan-Cancer Genomic and Transcriptomic Analyses of Refractory Metastatic Cancer Pradat, Yoann Viot, Julien Yurchenko, Andrey A. Gunbin, Konstantin Cerbone, Luigi Deloger, Marc Grisay, Guillaume Verlingue, Loic Scott, Véronique Padioleau, Ismael Panunzi, Leonardo Michiels, Stefan Hollebecque, Antoine Jules-Clément, Gérôme Mezquita, Laura Lainé, Antoine Loriot, Yohann Besse, Benjamin Friboulet, Luc André, Fabrice Cournède, Paul-Henry Gautheret, Daniel Nikolaev, Sergey I. Cancer Discov Research Articles Metastatic relapse after treatment is the leading cause of cancer mortality, and known resistance mechanisms are missing for most treatments administered to patients. To bridge this gap, we analyze a pan-cancer cohort (META-PRISM) of 1,031 refractory metastatic tumors profiled via whole-exome and transcriptome sequencing. META-PRISM tumors, particularly prostate, bladder, and pancreatic types, displayed the most transformed genomes compared with primary untreated tumors. Standard-of-care resistance biomarkers were identified only in lung and colon cancers—9.6% of META-PRISM tumors, indicating that too few resistance mechanisms have received clinical validation. In contrast, we verified the enrichment of multiple investigational and hypothetical resistance mechanisms in treated compared with nontreated patients, thereby confirming their putative role in treatment resistance. Additionally, we demonstrated that molecular markers improve 6-month survival prediction, particularly in patients with advanced breast cancer. Our analysis establishes the utility of the META-PRISM cohort for investigating resistance mechanisms and performing predictive analyses in cancer. SIGNIFICANCE: This study highlights the paucity of standard-of-care markers that explain treatment resistance and the promise of investigational and hypothetical markers awaiting further validation. It also demonstrates the utility of molecular profiling in advanced-stage cancers, particularly breast cancer, to improve the survival prediction and assess eligibility to phase I clinical trials. This article is highlighted in the In This Issue feature, p. 1027 American Association for Cancer Research 2023-05-04 2023-03-02 /pmc/articles/PMC10157368/ /pubmed/36862804 http://dx.doi.org/10.1158/2159-8290.CD-22-0966 Text en ©2023 The Authors; Published by the American Association for Cancer Research https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license. |
spellingShingle | Research Articles Pradat, Yoann Viot, Julien Yurchenko, Andrey A. Gunbin, Konstantin Cerbone, Luigi Deloger, Marc Grisay, Guillaume Verlingue, Loic Scott, Véronique Padioleau, Ismael Panunzi, Leonardo Michiels, Stefan Hollebecque, Antoine Jules-Clément, Gérôme Mezquita, Laura Lainé, Antoine Loriot, Yohann Besse, Benjamin Friboulet, Luc André, Fabrice Cournède, Paul-Henry Gautheret, Daniel Nikolaev, Sergey I. Integrative Pan-Cancer Genomic and Transcriptomic Analyses of Refractory Metastatic Cancer |
title | Integrative Pan-Cancer Genomic and Transcriptomic Analyses of Refractory Metastatic Cancer |
title_full | Integrative Pan-Cancer Genomic and Transcriptomic Analyses of Refractory Metastatic Cancer |
title_fullStr | Integrative Pan-Cancer Genomic and Transcriptomic Analyses of Refractory Metastatic Cancer |
title_full_unstemmed | Integrative Pan-Cancer Genomic and Transcriptomic Analyses of Refractory Metastatic Cancer |
title_short | Integrative Pan-Cancer Genomic and Transcriptomic Analyses of Refractory Metastatic Cancer |
title_sort | integrative pan-cancer genomic and transcriptomic analyses of refractory metastatic cancer |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157368/ https://www.ncbi.nlm.nih.gov/pubmed/36862804 http://dx.doi.org/10.1158/2159-8290.CD-22-0966 |
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