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Whole-exome sequencing identifies prognostic mutational signatures in gastric cancer
BACKGROUND: Gastric cancer (GC) is a heterogeneous disease, and is a leading cause of cancer deaths in Eastern Asia. Genomic analysis, such as whole-exome sequencing (WES), can help identify key genetic alterations leading to the malignancy and diversity of GC, and may help identify new drug targets...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729362/ https://www.ncbi.nlm.nih.gov/pubmed/33313229 http://dx.doi.org/10.21037/atm-20-6620 |
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author | Zhu, Zhenxin Fu, Hongbing Wang, Shengzhou Yu, Xinxin You, Qing Shi, Mengyao Dai, Chun Wang, Guan Cha, Wei Wang, Weimin |
author_facet | Zhu, Zhenxin Fu, Hongbing Wang, Shengzhou Yu, Xinxin You, Qing Shi, Mengyao Dai, Chun Wang, Guan Cha, Wei Wang, Weimin |
author_sort | Zhu, Zhenxin |
collection | PubMed |
description | BACKGROUND: Gastric cancer (GC) is a heterogeneous disease, and is a leading cause of cancer deaths in Eastern Asia. Genomic analysis, such as whole-exome sequencing (WES), can help identify key genetic alterations leading to the malignancy and diversity of GC, and may help identify new drug targets. METHODS: We identified genomic alterations in a cohort of 38 GC patients, including 26 metastatic and 12 non-metastatic patients. We analyzed the association between novel gene mutations and copy number variations (CNVs) with tumor metastasis and patient survival. RESULTS: A number of significantly mutated genes in somatic and germline cells were identified. Among them, ATAD3B somatic mutation, a potential biomarker of immunotherapy in stomach cancers, was associated with better patient survival (P=0.0939) and metastasis (P=0.074). POLE germline variation was correlated with shorter overall survival (OS; P=0.0100). Novel CNVs were also identified and can potentially be used as biomarkers. These included 9p24.1 deletion (P=0.0376) and 16p11.2 amplification (P=0.0066), which were both associated with shorter OS. CNVs of several genes including MMP9, PTPN1, and SS18L1 were found to be significantly related to metastasis (P<0.05). CONCLUSIONS: We characterized the mutational landscape of 38 GC patients and discovered several potential new predictive markers of survival and metastasis in GC. |
format | Online Article Text |
id | pubmed-7729362 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-77293622020-12-11 Whole-exome sequencing identifies prognostic mutational signatures in gastric cancer Zhu, Zhenxin Fu, Hongbing Wang, Shengzhou Yu, Xinxin You, Qing Shi, Mengyao Dai, Chun Wang, Guan Cha, Wei Wang, Weimin Ann Transl Med Original Article BACKGROUND: Gastric cancer (GC) is a heterogeneous disease, and is a leading cause of cancer deaths in Eastern Asia. Genomic analysis, such as whole-exome sequencing (WES), can help identify key genetic alterations leading to the malignancy and diversity of GC, and may help identify new drug targets. METHODS: We identified genomic alterations in a cohort of 38 GC patients, including 26 metastatic and 12 non-metastatic patients. We analyzed the association between novel gene mutations and copy number variations (CNVs) with tumor metastasis and patient survival. RESULTS: A number of significantly mutated genes in somatic and germline cells were identified. Among them, ATAD3B somatic mutation, a potential biomarker of immunotherapy in stomach cancers, was associated with better patient survival (P=0.0939) and metastasis (P=0.074). POLE germline variation was correlated with shorter overall survival (OS; P=0.0100). Novel CNVs were also identified and can potentially be used as biomarkers. These included 9p24.1 deletion (P=0.0376) and 16p11.2 amplification (P=0.0066), which were both associated with shorter OS. CNVs of several genes including MMP9, PTPN1, and SS18L1 were found to be significantly related to metastasis (P<0.05). CONCLUSIONS: We characterized the mutational landscape of 38 GC patients and discovered several potential new predictive markers of survival and metastasis in GC. AME Publishing Company 2020-11 /pmc/articles/PMC7729362/ /pubmed/33313229 http://dx.doi.org/10.21037/atm-20-6620 Text en 2020 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Zhu, Zhenxin Fu, Hongbing Wang, Shengzhou Yu, Xinxin You, Qing Shi, Mengyao Dai, Chun Wang, Guan Cha, Wei Wang, Weimin Whole-exome sequencing identifies prognostic mutational signatures in gastric cancer |
title | Whole-exome sequencing identifies prognostic mutational signatures in gastric cancer |
title_full | Whole-exome sequencing identifies prognostic mutational signatures in gastric cancer |
title_fullStr | Whole-exome sequencing identifies prognostic mutational signatures in gastric cancer |
title_full_unstemmed | Whole-exome sequencing identifies prognostic mutational signatures in gastric cancer |
title_short | Whole-exome sequencing identifies prognostic mutational signatures in gastric cancer |
title_sort | whole-exome sequencing identifies prognostic mutational signatures in gastric cancer |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729362/ https://www.ncbi.nlm.nih.gov/pubmed/33313229 http://dx.doi.org/10.21037/atm-20-6620 |
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