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Genetic mutation analysis of human gastric adenocarcinomas using ion torrent sequencing platform.

Authors :
Zhi Xu
Xinying Huo
Hua Ye
Chuanning Tang
Vijayalakshmi Nandakumar
Feng Lou
Dandan Zhang
Haichao Dong
Hong Sun
Shouwen Jiang
Guangchun Zhang
Zhiyuan Liu
Zhishou Dong
Baishuai Guo
Yan He
Chaowei Yan
Lu Wang
Ziyi Su
Yangyang Li
Dongying Gu
Xiaojing Zhang
Xiaomin Wu
Xiaowei Wei
Lingzhi Hong
Yangmei Zhang
Jinsong Yang
Yonglin Gong
Cuiju Tang
Lindsey Jones
Xue F Huang
Si-Yi Chen
Jinfei Chen
Source :
PLoS ONE, Vol 9, Iss 7, p e100442 (2014)
Publication Year :
2014
Publisher :
Public Library of Science (PLoS), 2014.

Abstract

Gastric cancer is the one of the major causes of cancer-related death, especially in Asia. Gastric adenocarcinoma, the most common type of gastric cancer, is heterogeneous and its incidence and cause varies widely with geographical regions, gender, ethnicity, and diet. Since unique mutations have been observed in individual human cancer samples, identification and characterization of the molecular alterations underlying individual gastric adenocarcinomas is a critical step for developing more effective, personalized therapies. Until recently, identifying genetic mutations on an individual basis by DNA sequencing remained a daunting task. Recent advances in new next-generation DNA sequencing technologies, such as the semiconductor-based Ion Torrent sequencing platform, makes DNA sequencing cheaper, faster, and more reliable. In this study, we aim to identify genetic mutations in the genes which are targeted by drugs in clinical use or are under development in individual human gastric adenocarcinoma samples using Ion Torrent sequencing. We sequenced 737 loci from 45 cancer-related genes in 238 human gastric adenocarcinoma samples using the Ion Torrent Ampliseq Cancer Panel. The sequencing analysis revealed a high occurrence of mutations along the TP53 locus (9.7%) in our sample set. Thus, this study indicates the utility of a cost and time efficient tool such as Ion Torrent sequencing to screen cancer mutations for the development of personalized cancer therapy.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
19326203
Volume :
9
Issue :
7
Database :
Directory of Open Access Journals
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
edsdoj.216dc7a332354cc0b8ff6564706fd85c
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pone.0100442