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Mutational landscape of gastric cancer and clinical application of genomic profiling based on target next-generation sequencing

BACKGROUND: Gastric cancer (GC) is a leading cause of cancer deaths, and an increased number of GC patients adopt to next-generation sequencing (NGS) to identify tumor genomic alterations for precision medicine. METHODS: In this study, we established a hybridization capture-based NGS panel including...

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Autores principales: Cai, Hui, Jing, Changqing, Chang, Xusheng, Ding, Dan, Han, Ting, Yang, Junchi, Lu, Zhengmao, Hu, Xuguang, Liu, Zhaorui, Wang, Jinshen, Shang, Liang, Wu, Shouxin, Meng, Peng, Lin, Ling, Zhao, Jiangman, Nie, Mingming, Yin, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549266/
https://www.ncbi.nlm.nih.gov/pubmed/31164161
http://dx.doi.org/10.1186/s12967-019-1941-0
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author Cai, Hui
Jing, Changqing
Chang, Xusheng
Ding, Dan
Han, Ting
Yang, Junchi
Lu, Zhengmao
Hu, Xuguang
Liu, Zhaorui
Wang, Jinshen
Shang, Liang
Wu, Shouxin
Meng, Peng
Lin, Ling
Zhao, Jiangman
Nie, Mingming
Yin, Kai
author_facet Cai, Hui
Jing, Changqing
Chang, Xusheng
Ding, Dan
Han, Ting
Yang, Junchi
Lu, Zhengmao
Hu, Xuguang
Liu, Zhaorui
Wang, Jinshen
Shang, Liang
Wu, Shouxin
Meng, Peng
Lin, Ling
Zhao, Jiangman
Nie, Mingming
Yin, Kai
author_sort Cai, Hui
collection PubMed
description BACKGROUND: Gastric cancer (GC) is a leading cause of cancer deaths, and an increased number of GC patients adopt to next-generation sequencing (NGS) to identify tumor genomic alterations for precision medicine. METHODS: In this study, we established a hybridization capture-based NGS panel including 612 cancer-associated genes, and collected sequencing data of tumors and matched bloods from 153 gastric cancer patients. We performed comprehensive analysis of these sequencing and clinical data. RESULTS: 35 significantly mutated genes were identified such as TP53, AKAP9, DRD2, PTEN, CDH1, LRP2 et al. Among them, 29 genes were novel significantly mutated genes compared with TCGA study. TP53 is the top frequently mutated gene, and tends to mutate in male (p = 0.025) patients and patients whose tumor located in cardia (p = 0.011). High tumor mutation burden (TMB) gathered in TP53 wild-type tumors (p = 0.045). TMB was also significantly associated with DNA damage repair (DDR) genes genotype (p = 0.047), Lauren classification (p = 1.5e−5), differentiation (1.9e−7), and HER2 status (p = 0.023). 38.31% of gastric cancer patients harbored at least one actionable alteration according to OncoKB database. CONCLUSIONS: We drew a comprehensive mutational landscape of 153 gastric tumors and demonstrated utility of target next-generation sequencing to guide clinical management. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12967-019-1941-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-65492662019-06-06 Mutational landscape of gastric cancer and clinical application of genomic profiling based on target next-generation sequencing Cai, Hui Jing, Changqing Chang, Xusheng Ding, Dan Han, Ting Yang, Junchi Lu, Zhengmao Hu, Xuguang Liu, Zhaorui Wang, Jinshen Shang, Liang Wu, Shouxin Meng, Peng Lin, Ling Zhao, Jiangman Nie, Mingming Yin, Kai J Transl Med Research BACKGROUND: Gastric cancer (GC) is a leading cause of cancer deaths, and an increased number of GC patients adopt to next-generation sequencing (NGS) to identify tumor genomic alterations for precision medicine. METHODS: In this study, we established a hybridization capture-based NGS panel including 612 cancer-associated genes, and collected sequencing data of tumors and matched bloods from 153 gastric cancer patients. We performed comprehensive analysis of these sequencing and clinical data. RESULTS: 35 significantly mutated genes were identified such as TP53, AKAP9, DRD2, PTEN, CDH1, LRP2 et al. Among them, 29 genes were novel significantly mutated genes compared with TCGA study. TP53 is the top frequently mutated gene, and tends to mutate in male (p = 0.025) patients and patients whose tumor located in cardia (p = 0.011). High tumor mutation burden (TMB) gathered in TP53 wild-type tumors (p = 0.045). TMB was also significantly associated with DNA damage repair (DDR) genes genotype (p = 0.047), Lauren classification (p = 1.5e−5), differentiation (1.9e−7), and HER2 status (p = 0.023). 38.31% of gastric cancer patients harbored at least one actionable alteration according to OncoKB database. CONCLUSIONS: We drew a comprehensive mutational landscape of 153 gastric tumors and demonstrated utility of target next-generation sequencing to guide clinical management. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12967-019-1941-0) contains supplementary material, which is available to authorized users. BioMed Central 2019-06-04 /pmc/articles/PMC6549266/ /pubmed/31164161 http://dx.doi.org/10.1186/s12967-019-1941-0 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research
Cai, Hui
Jing, Changqing
Chang, Xusheng
Ding, Dan
Han, Ting
Yang, Junchi
Lu, Zhengmao
Hu, Xuguang
Liu, Zhaorui
Wang, Jinshen
Shang, Liang
Wu, Shouxin
Meng, Peng
Lin, Ling
Zhao, Jiangman
Nie, Mingming
Yin, Kai
Mutational landscape of gastric cancer and clinical application of genomic profiling based on target next-generation sequencing
title Mutational landscape of gastric cancer and clinical application of genomic profiling based on target next-generation sequencing
title_full Mutational landscape of gastric cancer and clinical application of genomic profiling based on target next-generation sequencing
title_fullStr Mutational landscape of gastric cancer and clinical application of genomic profiling based on target next-generation sequencing
title_full_unstemmed Mutational landscape of gastric cancer and clinical application of genomic profiling based on target next-generation sequencing
title_short Mutational landscape of gastric cancer and clinical application of genomic profiling based on target next-generation sequencing
title_sort mutational landscape of gastric cancer and clinical application of genomic profiling based on target next-generation sequencing
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549266/
https://www.ncbi.nlm.nih.gov/pubmed/31164161
http://dx.doi.org/10.1186/s12967-019-1941-0
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