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Consensus molecular subtypes classification of colorectal cancer as a predictive factor for chemotherapeutic efficacy against metastatic colorectal cancer

The consensus molecular subtypes (CMS) classification is one of the most robust colorectal cancer (CRC) classifications based on comprehensive gene expression profiles. This study aimed to clarify whether the CMS is a predictive factor for therapeutic effects of standard chemotherapies for metastati...

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Autores principales: Okita, Akira, Takahashi, Shin, Ouchi, Kota, Inoue, Masahiro, Watanabe, Mika, Endo, Mareyuki, Honda, Hiroshi, Yamada, Yasuhide, Ishioka, Chikashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5922348/
https://www.ncbi.nlm.nih.gov/pubmed/29721154
http://dx.doi.org/10.18632/oncotarget.24617
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author Okita, Akira
Takahashi, Shin
Ouchi, Kota
Inoue, Masahiro
Watanabe, Mika
Endo, Mareyuki
Honda, Hiroshi
Yamada, Yasuhide
Ishioka, Chikashi
author_facet Okita, Akira
Takahashi, Shin
Ouchi, Kota
Inoue, Masahiro
Watanabe, Mika
Endo, Mareyuki
Honda, Hiroshi
Yamada, Yasuhide
Ishioka, Chikashi
author_sort Okita, Akira
collection PubMed
description The consensus molecular subtypes (CMS) classification is one of the most robust colorectal cancer (CRC) classifications based on comprehensive gene expression profiles. This study aimed to clarify whether the CMS is a predictive factor for therapeutic effects of standard chemotherapies for metastatic CRC (mCRC). We retrospectively enrolled 193 patients with mCRCs, and using comprehensive gene expression data, classified them into 4 subtypes: CMS1–CMS4. The associations between the subtypes and treatment outcomes were analyzed. Regarding first-line chemotherapy, irinotecan (IRI)-based chemotherapy was significantly superior to oxaliplatin (OX)-based chemotherapy for progression-free survival (PFS; hazard ratio [HR] = 0.31, 95% confidence interval [CI] 0.13–0.64) and overall survival (OS; HR = 0.45, 95% CI 0.19–0.99) in CMS4. Regarding the anti-epidermal growth factor receptor (anti-EGFR) therapy, CMS1 showed particularly worse PFS (HR = 2.50, 95% CI 1.31–4.39) and OS (HR = 4.23, 95% CI 1.83–9.04), and CMS2 showed particularly good PFS (HR = 0.67, 95% CI 0.44–1.01) and OS (HR = 0.49, 95% CI 0.27–0.87) compared with the other subtypes. The biological characteristics of CMS may influence the efficacy of chemotherapy. CMS might be a new predictive factor for the efficacy of chemotherapy against mCRCs.
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spelling pubmed-59223482018-05-02 Consensus molecular subtypes classification of colorectal cancer as a predictive factor for chemotherapeutic efficacy against metastatic colorectal cancer Okita, Akira Takahashi, Shin Ouchi, Kota Inoue, Masahiro Watanabe, Mika Endo, Mareyuki Honda, Hiroshi Yamada, Yasuhide Ishioka, Chikashi Oncotarget Research Paper The consensus molecular subtypes (CMS) classification is one of the most robust colorectal cancer (CRC) classifications based on comprehensive gene expression profiles. This study aimed to clarify whether the CMS is a predictive factor for therapeutic effects of standard chemotherapies for metastatic CRC (mCRC). We retrospectively enrolled 193 patients with mCRCs, and using comprehensive gene expression data, classified them into 4 subtypes: CMS1–CMS4. The associations between the subtypes and treatment outcomes were analyzed. Regarding first-line chemotherapy, irinotecan (IRI)-based chemotherapy was significantly superior to oxaliplatin (OX)-based chemotherapy for progression-free survival (PFS; hazard ratio [HR] = 0.31, 95% confidence interval [CI] 0.13–0.64) and overall survival (OS; HR = 0.45, 95% CI 0.19–0.99) in CMS4. Regarding the anti-epidermal growth factor receptor (anti-EGFR) therapy, CMS1 showed particularly worse PFS (HR = 2.50, 95% CI 1.31–4.39) and OS (HR = 4.23, 95% CI 1.83–9.04), and CMS2 showed particularly good PFS (HR = 0.67, 95% CI 0.44–1.01) and OS (HR = 0.49, 95% CI 0.27–0.87) compared with the other subtypes. The biological characteristics of CMS may influence the efficacy of chemotherapy. CMS might be a new predictive factor for the efficacy of chemotherapy against mCRCs. Impact Journals LLC 2018-04-10 /pmc/articles/PMC5922348/ /pubmed/29721154 http://dx.doi.org/10.18632/oncotarget.24617 Text en Copyright: © 2018 Okita et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Okita, Akira
Takahashi, Shin
Ouchi, Kota
Inoue, Masahiro
Watanabe, Mika
Endo, Mareyuki
Honda, Hiroshi
Yamada, Yasuhide
Ishioka, Chikashi
Consensus molecular subtypes classification of colorectal cancer as a predictive factor for chemotherapeutic efficacy against metastatic colorectal cancer
title Consensus molecular subtypes classification of colorectal cancer as a predictive factor for chemotherapeutic efficacy against metastatic colorectal cancer
title_full Consensus molecular subtypes classification of colorectal cancer as a predictive factor for chemotherapeutic efficacy against metastatic colorectal cancer
title_fullStr Consensus molecular subtypes classification of colorectal cancer as a predictive factor for chemotherapeutic efficacy against metastatic colorectal cancer
title_full_unstemmed Consensus molecular subtypes classification of colorectal cancer as a predictive factor for chemotherapeutic efficacy against metastatic colorectal cancer
title_short Consensus molecular subtypes classification of colorectal cancer as a predictive factor for chemotherapeutic efficacy against metastatic colorectal cancer
title_sort consensus molecular subtypes classification of colorectal cancer as a predictive factor for chemotherapeutic efficacy against metastatic colorectal cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5922348/
https://www.ncbi.nlm.nih.gov/pubmed/29721154
http://dx.doi.org/10.18632/oncotarget.24617
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