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Landscape of somatic mutations in gastric cancer assessed using next-generation sequencing analysis
Gastric cancer is a highly heterogeneous disease and the second leading cause of cancer-associated mortality. However, the genomic basis of gastric cancer is not completely understood and the underlying genetic heterogeneity has not been well studied. In the present study, 1,021 genes were sequenced...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6144630/ https://www.ncbi.nlm.nih.gov/pubmed/30250552 http://dx.doi.org/10.3892/ol.2018.9314 |
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author | Pan, Xuan Ji, Xiaozhi Zhang, Renmin Zhou, Zhaofei Zhong, Yuejiao Peng, Wei Sun, Ning Xu, Xinyu Xia, Lei Li, Pansong Lu, Jianwei Tu, Jing |
author_facet | Pan, Xuan Ji, Xiaozhi Zhang, Renmin Zhou, Zhaofei Zhong, Yuejiao Peng, Wei Sun, Ning Xu, Xinyu Xia, Lei Li, Pansong Lu, Jianwei Tu, Jing |
author_sort | Pan, Xuan |
collection | PubMed |
description | Gastric cancer is a highly heterogeneous disease and the second leading cause of cancer-associated mortality. However, the genomic basis of gastric cancer is not completely understood and the underlying genetic heterogeneity has not been well studied. In the present study, 1,021 genes were sequenced and the somatic mutations of 45 formalin-fixed, paraffin-embedded gastric adenocarcinoma samples were assessed using next-generation sequencing technologies. In the present study, a median sequencing coverage depth of 708-fold was achieved. Somatic genomic alterations were detected in 37/45 patients (82.4%) and the most frequent genetic alterations identified were tumor protein P53 (TP53) gene mutations. Mutations in MLL4, ERBB3, FBXW7, MLL3, MTOR, NOTCH1, PIK3CA, KRAS, ERBB4 and EGFR were also detected. Patients with TP53 mutations had a higher number of somatic mutations, and the total number of somatic mutations was weakly correlated with patient age. These results provided data on the intratumoral heterogeneity of gastric cancer and may be used in order to develop personalized cancer therapy. |
format | Online Article Text |
id | pubmed-6144630 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-61446302018-09-24 Landscape of somatic mutations in gastric cancer assessed using next-generation sequencing analysis Pan, Xuan Ji, Xiaozhi Zhang, Renmin Zhou, Zhaofei Zhong, Yuejiao Peng, Wei Sun, Ning Xu, Xinyu Xia, Lei Li, Pansong Lu, Jianwei Tu, Jing Oncol Lett Articles Gastric cancer is a highly heterogeneous disease and the second leading cause of cancer-associated mortality. However, the genomic basis of gastric cancer is not completely understood and the underlying genetic heterogeneity has not been well studied. In the present study, 1,021 genes were sequenced and the somatic mutations of 45 formalin-fixed, paraffin-embedded gastric adenocarcinoma samples were assessed using next-generation sequencing technologies. In the present study, a median sequencing coverage depth of 708-fold was achieved. Somatic genomic alterations were detected in 37/45 patients (82.4%) and the most frequent genetic alterations identified were tumor protein P53 (TP53) gene mutations. Mutations in MLL4, ERBB3, FBXW7, MLL3, MTOR, NOTCH1, PIK3CA, KRAS, ERBB4 and EGFR were also detected. Patients with TP53 mutations had a higher number of somatic mutations, and the total number of somatic mutations was weakly correlated with patient age. These results provided data on the intratumoral heterogeneity of gastric cancer and may be used in order to develop personalized cancer therapy. D.A. Spandidos 2018-10 2018-08-16 /pmc/articles/PMC6144630/ /pubmed/30250552 http://dx.doi.org/10.3892/ol.2018.9314 Text en Copyright: © Pan et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Pan, Xuan Ji, Xiaozhi Zhang, Renmin Zhou, Zhaofei Zhong, Yuejiao Peng, Wei Sun, Ning Xu, Xinyu Xia, Lei Li, Pansong Lu, Jianwei Tu, Jing Landscape of somatic mutations in gastric cancer assessed using next-generation sequencing analysis |
title | Landscape of somatic mutations in gastric cancer assessed using next-generation sequencing analysis |
title_full | Landscape of somatic mutations in gastric cancer assessed using next-generation sequencing analysis |
title_fullStr | Landscape of somatic mutations in gastric cancer assessed using next-generation sequencing analysis |
title_full_unstemmed | Landscape of somatic mutations in gastric cancer assessed using next-generation sequencing analysis |
title_short | Landscape of somatic mutations in gastric cancer assessed using next-generation sequencing analysis |
title_sort | landscape of somatic mutations in gastric cancer assessed using next-generation sequencing analysis |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6144630/ https://www.ncbi.nlm.nih.gov/pubmed/30250552 http://dx.doi.org/10.3892/ol.2018.9314 |
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