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Mutation profile of non-small cell lung cancer revealed by next generation sequencing
BACKGROUND: Precision therapy for lung cancer requires comprehensive genomic analyses. Specific effects of targeted therapies have been reported in Asia populations, including Taiwanese, but genomic studies have rarely been performed in these populations. METHOD: We enrolled 72 patients with non-sma...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7789556/ https://www.ncbi.nlm.nih.gov/pubmed/33407425 http://dx.doi.org/10.1186/s12931-020-01608-5 |
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author | Chang, Ya-Sian Tu, Siang-Jyun Chen, Yu-Chia Liu, Ting-Yuan Lee, Ya-Ting Yen, Ju-Chen Fang, Hsin-Yuan Chang, Jan-Gowth |
author_facet | Chang, Ya-Sian Tu, Siang-Jyun Chen, Yu-Chia Liu, Ting-Yuan Lee, Ya-Ting Yen, Ju-Chen Fang, Hsin-Yuan Chang, Jan-Gowth |
author_sort | Chang, Ya-Sian |
collection | PubMed |
description | BACKGROUND: Precision therapy for lung cancer requires comprehensive genomic analyses. Specific effects of targeted therapies have been reported in Asia populations, including Taiwanese, but genomic studies have rarely been performed in these populations. METHOD: We enrolled 72 patients with non-small cell lung cancer, of whom 61 had adenocarcinoma, 10 had squamous cell carcinoma, and 1 had combined adenocarcinoma and squamous cell carcinoma. Whole-exome or targeted gene sequencing was performed. To identify trunk mutations, we performed whole-exome sequencing in two tumor regions in four patients. RESULTS: Nineteen known driver mutations in EGFR, PIK3CA, KRAS, CTNNB1, and MET were identified in 34 of the 72 tumors evaluated (47.22%). A comparison with the Cancer Genome Atlas dataset showed that EGFR was mutated at a much higher frequency in our cohort than in Caucasians, whereas KRAS and TP53 mutations were found in only 5.56% and 25% of our Taiwanese patients, respectively. We also identified new mutations in ARID1A, ARID2, CDK12, CHEK2, GNAS, H3F3A, KDM6A, KMT2C, NOTCH1, RB1, RBM10, RUNX1, SETD2, SF3B1, SMARCA4, THRAP3, TP53, and ZMYM2. Moreover, all ClinVar pathogenic variants were trunk mutations present in two regions of a tumor. RNA sequencing revealed that the trunk or branch genes were expressed at similar levels among different tumor regions. CONCLUSIONS: We identified novel variants potentially associated with lung cancer tumorigenesis. The specific mutation pattern in Taiwanese patients with non-small cell lung cancer may influence targeted therapies. |
format | Online Article Text |
id | pubmed-7789556 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-77895562021-01-07 Mutation profile of non-small cell lung cancer revealed by next generation sequencing Chang, Ya-Sian Tu, Siang-Jyun Chen, Yu-Chia Liu, Ting-Yuan Lee, Ya-Ting Yen, Ju-Chen Fang, Hsin-Yuan Chang, Jan-Gowth Respir Res Research BACKGROUND: Precision therapy for lung cancer requires comprehensive genomic analyses. Specific effects of targeted therapies have been reported in Asia populations, including Taiwanese, but genomic studies have rarely been performed in these populations. METHOD: We enrolled 72 patients with non-small cell lung cancer, of whom 61 had adenocarcinoma, 10 had squamous cell carcinoma, and 1 had combined adenocarcinoma and squamous cell carcinoma. Whole-exome or targeted gene sequencing was performed. To identify trunk mutations, we performed whole-exome sequencing in two tumor regions in four patients. RESULTS: Nineteen known driver mutations in EGFR, PIK3CA, KRAS, CTNNB1, and MET were identified in 34 of the 72 tumors evaluated (47.22%). A comparison with the Cancer Genome Atlas dataset showed that EGFR was mutated at a much higher frequency in our cohort than in Caucasians, whereas KRAS and TP53 mutations were found in only 5.56% and 25% of our Taiwanese patients, respectively. We also identified new mutations in ARID1A, ARID2, CDK12, CHEK2, GNAS, H3F3A, KDM6A, KMT2C, NOTCH1, RB1, RBM10, RUNX1, SETD2, SF3B1, SMARCA4, THRAP3, TP53, and ZMYM2. Moreover, all ClinVar pathogenic variants were trunk mutations present in two regions of a tumor. RNA sequencing revealed that the trunk or branch genes were expressed at similar levels among different tumor regions. CONCLUSIONS: We identified novel variants potentially associated with lung cancer tumorigenesis. The specific mutation pattern in Taiwanese patients with non-small cell lung cancer may influence targeted therapies. BioMed Central 2021-01-06 2021 /pmc/articles/PMC7789556/ /pubmed/33407425 http://dx.doi.org/10.1186/s12931-020-01608-5 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Chang, Ya-Sian Tu, Siang-Jyun Chen, Yu-Chia Liu, Ting-Yuan Lee, Ya-Ting Yen, Ju-Chen Fang, Hsin-Yuan Chang, Jan-Gowth Mutation profile of non-small cell lung cancer revealed by next generation sequencing |
title | Mutation profile of non-small cell lung cancer revealed by next generation sequencing |
title_full | Mutation profile of non-small cell lung cancer revealed by next generation sequencing |
title_fullStr | Mutation profile of non-small cell lung cancer revealed by next generation sequencing |
title_full_unstemmed | Mutation profile of non-small cell lung cancer revealed by next generation sequencing |
title_short | Mutation profile of non-small cell lung cancer revealed by next generation sequencing |
title_sort | mutation profile of non-small cell lung cancer revealed by next generation sequencing |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7789556/ https://www.ncbi.nlm.nih.gov/pubmed/33407425 http://dx.doi.org/10.1186/s12931-020-01608-5 |
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