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Characterization of the genomic landscape in large-scale Chinese patients with pancreatic cancer
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a malignant tumor with an extremely poor prognosis. Effective targets for anticancer therapy confirmed in PDAC are limited. However, the characteristics of genomics have not been fully elucidated in large-scale patients with PDAC from China. MET...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886010/ https://www.ncbi.nlm.nih.gov/pubmed/35231699 http://dx.doi.org/10.1016/j.ebiom.2022.103897 |
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author | Zhang, Xiaofei Mao, Tiebo Zhang, Bei Xu, Haiyan Cui, Jiujie Jiao, Feng Chen, Dongqin Wang, Yu Hu, Jiong Xia, Qing Ge, Weiyu Li, Shumin Yue, Ming Ma, Jingyu Yao, Jiayu Wang, Yongchao Wang, Yanling Shentu, Daiyuan Zhang, Xiao Chen, Shiqing Bai, Yuezong Wang, Yuexiang Zhang, Xuebin Liu, Qiang Sun, Yongwei Fu, Deliang Liu, Yingbin Xiong, Lei Wang, Liwei |
author_facet | Zhang, Xiaofei Mao, Tiebo Zhang, Bei Xu, Haiyan Cui, Jiujie Jiao, Feng Chen, Dongqin Wang, Yu Hu, Jiong Xia, Qing Ge, Weiyu Li, Shumin Yue, Ming Ma, Jingyu Yao, Jiayu Wang, Yongchao Wang, Yanling Shentu, Daiyuan Zhang, Xiao Chen, Shiqing Bai, Yuezong Wang, Yuexiang Zhang, Xuebin Liu, Qiang Sun, Yongwei Fu, Deliang Liu, Yingbin Xiong, Lei Wang, Liwei |
author_sort | Zhang, Xiaofei |
collection | PubMed |
description | BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a malignant tumor with an extremely poor prognosis. Effective targets for anticancer therapy confirmed in PDAC are limited. However, the characteristics of genomics have not been fully elucidated in large-scale patients with PDAC from China. METHODS: We collected both blood and tissue samples from 1080 Chinese patients with pancreatic cancer and retrospectively investigated the genomic landscape using next-generation sequencing (NGS). FINDINGS: We found recurrent somatic mutations in KRAS (83.2%), TP53 (70.6%), CDKN2A (28.8%), SMAD4 (23.0%), ARID1A (12.8%) and CDKN2B (8.9%) in Chinese PDAC patients. Compared with primary pancreatic cancers, more genomic alterations accumulated especially cell cycle regulatory gene variants (45.4% vs 31.6%, P < 0.001) were observed in metastatic tumors. The most common mutation site of KRAS is p.G12D (43.6%) in pancreatic cancer. Patients with KRAS mutations were significantly associated with older age and mutations in the other three driver genes, while KRAS wild-type patients contained more fusion mutations and alternative mechanisms of RTK/Ras/MAPK pathway including a number of clinically targetable mutations. KRAS mutations in Chinese cohort were significantly lower than those in Western cohorts (all P < 0.05). A total of 252 (23.3%) patients with the core DNA damage response (DDR) gene mutations were detected. ATM (n =59, 5.5%) was the most frequent mutant DDR gene in patients with pancreatic cancer from China. Patients with germline DDR gene mutations were younger (P = 0.018), while patients with somatic DDR gene mutations were more likely to accumulate in metastatic lesions (P < 0.001) and had higher TMB levels (P < 0.001). In addition, patients with mutant DDR genes and patients carrying TP53 mutation were observed mutually exclusive (P < 0.001). INTERPRETATION: We demonstrated the real-world genomic characteristics of large-scale patients with pancreatic cancer from China which may have promising implications for further clinical significance and drug development. FUNDING: The funders are listed in the Acknowledgement. |
format | Online Article Text |
id | pubmed-8886010 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-88860102022-03-02 Characterization of the genomic landscape in large-scale Chinese patients with pancreatic cancer Zhang, Xiaofei Mao, Tiebo Zhang, Bei Xu, Haiyan Cui, Jiujie Jiao, Feng Chen, Dongqin Wang, Yu Hu, Jiong Xia, Qing Ge, Weiyu Li, Shumin Yue, Ming Ma, Jingyu Yao, Jiayu Wang, Yongchao Wang, Yanling Shentu, Daiyuan Zhang, Xiao Chen, Shiqing Bai, Yuezong Wang, Yuexiang Zhang, Xuebin Liu, Qiang Sun, Yongwei Fu, Deliang Liu, Yingbin Xiong, Lei Wang, Liwei EBioMedicine Articles BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a malignant tumor with an extremely poor prognosis. Effective targets for anticancer therapy confirmed in PDAC are limited. However, the characteristics of genomics have not been fully elucidated in large-scale patients with PDAC from China. METHODS: We collected both blood and tissue samples from 1080 Chinese patients with pancreatic cancer and retrospectively investigated the genomic landscape using next-generation sequencing (NGS). FINDINGS: We found recurrent somatic mutations in KRAS (83.2%), TP53 (70.6%), CDKN2A (28.8%), SMAD4 (23.0%), ARID1A (12.8%) and CDKN2B (8.9%) in Chinese PDAC patients. Compared with primary pancreatic cancers, more genomic alterations accumulated especially cell cycle regulatory gene variants (45.4% vs 31.6%, P < 0.001) were observed in metastatic tumors. The most common mutation site of KRAS is p.G12D (43.6%) in pancreatic cancer. Patients with KRAS mutations were significantly associated with older age and mutations in the other three driver genes, while KRAS wild-type patients contained more fusion mutations and alternative mechanisms of RTK/Ras/MAPK pathway including a number of clinically targetable mutations. KRAS mutations in Chinese cohort were significantly lower than those in Western cohorts (all P < 0.05). A total of 252 (23.3%) patients with the core DNA damage response (DDR) gene mutations were detected. ATM (n =59, 5.5%) was the most frequent mutant DDR gene in patients with pancreatic cancer from China. Patients with germline DDR gene mutations were younger (P = 0.018), while patients with somatic DDR gene mutations were more likely to accumulate in metastatic lesions (P < 0.001) and had higher TMB levels (P < 0.001). In addition, patients with mutant DDR genes and patients carrying TP53 mutation were observed mutually exclusive (P < 0.001). INTERPRETATION: We demonstrated the real-world genomic characteristics of large-scale patients with pancreatic cancer from China which may have promising implications for further clinical significance and drug development. FUNDING: The funders are listed in the Acknowledgement. Elsevier 2022-02-26 /pmc/articles/PMC8886010/ /pubmed/35231699 http://dx.doi.org/10.1016/j.ebiom.2022.103897 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Articles Zhang, Xiaofei Mao, Tiebo Zhang, Bei Xu, Haiyan Cui, Jiujie Jiao, Feng Chen, Dongqin Wang, Yu Hu, Jiong Xia, Qing Ge, Weiyu Li, Shumin Yue, Ming Ma, Jingyu Yao, Jiayu Wang, Yongchao Wang, Yanling Shentu, Daiyuan Zhang, Xiao Chen, Shiqing Bai, Yuezong Wang, Yuexiang Zhang, Xuebin Liu, Qiang Sun, Yongwei Fu, Deliang Liu, Yingbin Xiong, Lei Wang, Liwei Characterization of the genomic landscape in large-scale Chinese patients with pancreatic cancer |
title | Characterization of the genomic landscape in large-scale Chinese patients with pancreatic cancer |
title_full | Characterization of the genomic landscape in large-scale Chinese patients with pancreatic cancer |
title_fullStr | Characterization of the genomic landscape in large-scale Chinese patients with pancreatic cancer |
title_full_unstemmed | Characterization of the genomic landscape in large-scale Chinese patients with pancreatic cancer |
title_short | Characterization of the genomic landscape in large-scale Chinese patients with pancreatic cancer |
title_sort | characterization of the genomic landscape in large-scale chinese patients with pancreatic cancer |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886010/ https://www.ncbi.nlm.nih.gov/pubmed/35231699 http://dx.doi.org/10.1016/j.ebiom.2022.103897 |
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