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Mutational Profile Evaluates Response and Survival to First‐Line Chemotherapy in Lung Cancer

Evaluating the therapeutic response and survival of lung cancer patients receiving first‐line chemotherapy has always been difficult. Limited biomarkers for evaluation exist and as a result histology represents an empiric tool to guide therapeutic decision making. In this study, molecular signatures...

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Autores principales: He, Yayi, Song, Lele, Wang, Hao, Chen, Peixin, Liu, Yu, Sun, Hui, Li, Xiaobin, Dang, Shiying, Liu, Guifeng, Liu, Xinyi, Chen, Shifu, Zhang, Xiaoni, Hofman, Paul, Uchino, Junji, Park, Henry S., Pacheco, Jose M., Tabbò, Fabrizio, Xu, Mingyan, Dai, Jiawei, He, Kan, Yang, Yang, Zhou, Caicun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887584/
https://www.ncbi.nlm.nih.gov/pubmed/33643802
http://dx.doi.org/10.1002/advs.202003263
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author He, Yayi
Song, Lele
Wang, Hao
Chen, Peixin
Liu, Yu
Sun, Hui
Li, Xiaobin
Dang, Shiying
Liu, Guifeng
Liu, Xinyi
Chen, Shifu
Zhang, Xiaoni
Hofman, Paul
Uchino, Junji
Park, Henry S.
Pacheco, Jose M.
Tabbò, Fabrizio
Xu, Mingyan
Dai, Jiawei
He, Kan
Yang, Yang
Zhou, Caicun
author_facet He, Yayi
Song, Lele
Wang, Hao
Chen, Peixin
Liu, Yu
Sun, Hui
Li, Xiaobin
Dang, Shiying
Liu, Guifeng
Liu, Xinyi
Chen, Shifu
Zhang, Xiaoni
Hofman, Paul
Uchino, Junji
Park, Henry S.
Pacheco, Jose M.
Tabbò, Fabrizio
Xu, Mingyan
Dai, Jiawei
He, Kan
Yang, Yang
Zhou, Caicun
author_sort He, Yayi
collection PubMed
description Evaluating the therapeutic response and survival of lung cancer patients receiving first‐line chemotherapy has always been difficult. Limited biomarkers for evaluation exist and as a result histology represents an empiric tool to guide therapeutic decision making. In this study, molecular signatures associated with response and long‐term survival of lung cancer patients receiving first‐line chemotherapy are discovered. Whole‐exome sequencing is performed on pretherapeutic tissue samples of 186 patients [145 non‐small cell lung cancer (NSCLC) and 41 small cell lung cancer (SCLC)]. On the basis of genomic alteration characteristics, NSCLC patients can be classified into four subtypes (C1–C4). The long‐term survival is similar among different subtypes. SCLC patients are also divided into four subtypes and significant difference in their progression free survival is revealed (P < 0.001). NSCLC patients can be divided into three subtypes (S1–S3) based on TMB. A trend of worse survival associated with higher TMB in subtype S3 than in S1+S2 is found. In contrast, no significant correlations between molecular subtype and therapeutic response are observed. In conclusion, this study identifies several molecular signatures associated with response and survival to first‐line chemotherapy in lung cancer.
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spelling pubmed-78875842021-02-26 Mutational Profile Evaluates Response and Survival to First‐Line Chemotherapy in Lung Cancer He, Yayi Song, Lele Wang, Hao Chen, Peixin Liu, Yu Sun, Hui Li, Xiaobin Dang, Shiying Liu, Guifeng Liu, Xinyi Chen, Shifu Zhang, Xiaoni Hofman, Paul Uchino, Junji Park, Henry S. Pacheco, Jose M. Tabbò, Fabrizio Xu, Mingyan Dai, Jiawei He, Kan Yang, Yang Zhou, Caicun Adv Sci (Weinh) Full Papers Evaluating the therapeutic response and survival of lung cancer patients receiving first‐line chemotherapy has always been difficult. Limited biomarkers for evaluation exist and as a result histology represents an empiric tool to guide therapeutic decision making. In this study, molecular signatures associated with response and long‐term survival of lung cancer patients receiving first‐line chemotherapy are discovered. Whole‐exome sequencing is performed on pretherapeutic tissue samples of 186 patients [145 non‐small cell lung cancer (NSCLC) and 41 small cell lung cancer (SCLC)]. On the basis of genomic alteration characteristics, NSCLC patients can be classified into four subtypes (C1–C4). The long‐term survival is similar among different subtypes. SCLC patients are also divided into four subtypes and significant difference in their progression free survival is revealed (P < 0.001). NSCLC patients can be divided into three subtypes (S1–S3) based on TMB. A trend of worse survival associated with higher TMB in subtype S3 than in S1+S2 is found. In contrast, no significant correlations between molecular subtype and therapeutic response are observed. In conclusion, this study identifies several molecular signatures associated with response and survival to first‐line chemotherapy in lung cancer. John Wiley and Sons Inc. 2020-12-30 /pmc/articles/PMC7887584/ /pubmed/33643802 http://dx.doi.org/10.1002/advs.202003263 Text en © 2020 The Authors. Advanced Science published by Wiley‐VCH GmbH This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Full Papers
He, Yayi
Song, Lele
Wang, Hao
Chen, Peixin
Liu, Yu
Sun, Hui
Li, Xiaobin
Dang, Shiying
Liu, Guifeng
Liu, Xinyi
Chen, Shifu
Zhang, Xiaoni
Hofman, Paul
Uchino, Junji
Park, Henry S.
Pacheco, Jose M.
Tabbò, Fabrizio
Xu, Mingyan
Dai, Jiawei
He, Kan
Yang, Yang
Zhou, Caicun
Mutational Profile Evaluates Response and Survival to First‐Line Chemotherapy in Lung Cancer
title Mutational Profile Evaluates Response and Survival to First‐Line Chemotherapy in Lung Cancer
title_full Mutational Profile Evaluates Response and Survival to First‐Line Chemotherapy in Lung Cancer
title_fullStr Mutational Profile Evaluates Response and Survival to First‐Line Chemotherapy in Lung Cancer
title_full_unstemmed Mutational Profile Evaluates Response and Survival to First‐Line Chemotherapy in Lung Cancer
title_short Mutational Profile Evaluates Response and Survival to First‐Line Chemotherapy in Lung Cancer
title_sort mutational profile evaluates response and survival to first‐line chemotherapy in lung cancer
topic Full Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887584/
https://www.ncbi.nlm.nih.gov/pubmed/33643802
http://dx.doi.org/10.1002/advs.202003263
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