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Genomic characteristics of driver genes in Chinese patients with non‐small cell lung cancer

BACKGROUND: The aim of this study was to determine the demographic profile of driver gene alterations, especially low‐frequency gene alterations in Chinese patients with non‐small cell lung cancer (NSCLC). METHODS: A total of 7395 Chinese patients with NSCLC were enrolled in the study. Next‐generati...

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Autores principales: Si, Xiaoyan, Pan, Ruili, Ma, Shaohua, Li, Lin, Liang, Li, Zhang, Ping, Chu, Yuping, Wang, Hanping, Wang, Mengzhao, Zhang, Xiaotong, Zhang, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Australia, Ltd 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862783/
https://www.ncbi.nlm.nih.gov/pubmed/33300283
http://dx.doi.org/10.1111/1759-7714.13757
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author Si, Xiaoyan
Pan, Ruili
Ma, Shaohua
Li, Lin
Liang, Li
Zhang, Ping
Chu, Yuping
Wang, Hanping
Wang, Mengzhao
Zhang, Xiaotong
Zhang, Li
author_facet Si, Xiaoyan
Pan, Ruili
Ma, Shaohua
Li, Lin
Liang, Li
Zhang, Ping
Chu, Yuping
Wang, Hanping
Wang, Mengzhao
Zhang, Xiaotong
Zhang, Li
author_sort Si, Xiaoyan
collection PubMed
description BACKGROUND: The aim of this study was to determine the demographic profile of driver gene alterations, especially low‐frequency gene alterations in Chinese patients with non‐small cell lung cancer (NSCLC). METHODS: A total of 7395 Chinese patients with NSCLC were enrolled in the study. Next‐generation sequencing (NGS) was performed on formalin‐fixed paraffin‐embedded specimens collected via either surgical resection or biopsy. RESULTS: The frequent genomic alterations found in the study were EGFR mutations (51.7%), KRAS mutations (13.1%), MET alterations (5.6%; 3.2% copy number gains and 0.5% exon 14 skipping mutation), HER2 alterations (7.0%; 2.0% copy number gains and 5.4% mutations), ALK alterations (7.2%; 3.9% rearrangements), RET rearrangements (1.4%), ROS1 rearrangements (0.9%), and NTRK rearrangements (0.6%). The EGFR mutation rate was found to be significantly higher in women than in men (69.1% vs. 38.5%, P < 0.001), while the KRAS mutation (17.5% vs. 7.3%, P < 0.001) and MET alteration rates (6.5% vs. 4.5%, P < 0.001) were significantly higher in men than in women. The EGFR mutation rate tended to decrease with age in the group aged >40 years, while the KRAS mutation rate tended to increase with age. The HER2 mutation (13.9% vs. 6.7%, P < 0.001) and ALK alteration rates (14.3% vs. 6.9%, P < 0.001) were significantly higher in the group aged <40 years than in groups aged 40 years or older. CONCLUSIONS: The frequency of different driver genes was diverse in different age‐gender groups, and the results of this study may assist clinicians in clinical decision‐making and the development of public healthcare strategies in the future. KEY POINTS: SIGNIFICANT FINDINGS OF THE STUDY: This study demonstrated that the frequency of different driver genes was diverse in different age‐gender groups. What this study adds: It may enable clinicians to make clinical decisions, and assist government, pharmaceutical researchers and insurance companies develop public healthcare strategies.
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spelling pubmed-78627832021-02-16 Genomic characteristics of driver genes in Chinese patients with non‐small cell lung cancer Si, Xiaoyan Pan, Ruili Ma, Shaohua Li, Lin Liang, Li Zhang, Ping Chu, Yuping Wang, Hanping Wang, Mengzhao Zhang, Xiaotong Zhang, Li Thorac Cancer Original Articles BACKGROUND: The aim of this study was to determine the demographic profile of driver gene alterations, especially low‐frequency gene alterations in Chinese patients with non‐small cell lung cancer (NSCLC). METHODS: A total of 7395 Chinese patients with NSCLC were enrolled in the study. Next‐generation sequencing (NGS) was performed on formalin‐fixed paraffin‐embedded specimens collected via either surgical resection or biopsy. RESULTS: The frequent genomic alterations found in the study were EGFR mutations (51.7%), KRAS mutations (13.1%), MET alterations (5.6%; 3.2% copy number gains and 0.5% exon 14 skipping mutation), HER2 alterations (7.0%; 2.0% copy number gains and 5.4% mutations), ALK alterations (7.2%; 3.9% rearrangements), RET rearrangements (1.4%), ROS1 rearrangements (0.9%), and NTRK rearrangements (0.6%). The EGFR mutation rate was found to be significantly higher in women than in men (69.1% vs. 38.5%, P < 0.001), while the KRAS mutation (17.5% vs. 7.3%, P < 0.001) and MET alteration rates (6.5% vs. 4.5%, P < 0.001) were significantly higher in men than in women. The EGFR mutation rate tended to decrease with age in the group aged >40 years, while the KRAS mutation rate tended to increase with age. The HER2 mutation (13.9% vs. 6.7%, P < 0.001) and ALK alteration rates (14.3% vs. 6.9%, P < 0.001) were significantly higher in the group aged <40 years than in groups aged 40 years or older. CONCLUSIONS: The frequency of different driver genes was diverse in different age‐gender groups, and the results of this study may assist clinicians in clinical decision‐making and the development of public healthcare strategies in the future. KEY POINTS: SIGNIFICANT FINDINGS OF THE STUDY: This study demonstrated that the frequency of different driver genes was diverse in different age‐gender groups. What this study adds: It may enable clinicians to make clinical decisions, and assist government, pharmaceutical researchers and insurance companies develop public healthcare strategies. John Wiley & Sons Australia, Ltd 2020-12-09 2021-02 /pmc/articles/PMC7862783/ /pubmed/33300283 http://dx.doi.org/10.1111/1759-7714.13757 Text en © 2020 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd. 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 Original Articles
Si, Xiaoyan
Pan, Ruili
Ma, Shaohua
Li, Lin
Liang, Li
Zhang, Ping
Chu, Yuping
Wang, Hanping
Wang, Mengzhao
Zhang, Xiaotong
Zhang, Li
Genomic characteristics of driver genes in Chinese patients with non‐small cell lung cancer
title Genomic characteristics of driver genes in Chinese patients with non‐small cell lung cancer
title_full Genomic characteristics of driver genes in Chinese patients with non‐small cell lung cancer
title_fullStr Genomic characteristics of driver genes in Chinese patients with non‐small cell lung cancer
title_full_unstemmed Genomic characteristics of driver genes in Chinese patients with non‐small cell lung cancer
title_short Genomic characteristics of driver genes in Chinese patients with non‐small cell lung cancer
title_sort genomic characteristics of driver genes in chinese patients with non‐small cell lung cancer
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862783/
https://www.ncbi.nlm.nih.gov/pubmed/33300283
http://dx.doi.org/10.1111/1759-7714.13757
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