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PMID: 24700479 已发表 · ppublish 英语

Assessment of mutational profile of Japanese lung adenocarcinoma patients by multitarget assays: a prospective, single-institute study.

Cancer ·第 120 卷 ·第 10 期 ·2014-06-16

Serizawa Masakuni, Koh Yasuhiro, Kenmotsu Hirotsugu, Isaka Mitsuhiro, Murakami Haruyasu, Akamatsu Hiroaki, Mori Keita, Abe Masato, Hayashi Isamu, Taira Tetsuhiko, Maniwa Tomohiro, Takahashi Toshiaki, Endo Masahiro, Nakajima Takashi, Ohde Yasuhisa, Yamamoto Nobuyuki

摘要

Integration of mutational profiling to identify driver genetic alterations in a clinical setting is necessary to facilitate personalized lung cancer medicine. A tumor genotyping panel was developed and the Shizuoka Lung Cancer Mutation Study was initiated as a prospective tumor genotyping study. This study reports the frequency of driver genetic alterations in Japanese lung adenocarcinoma patients, and clinicopathologic correlations with each genotype.,Between July 2011 and January 2013, 411 lung adenocarcinoma patients admitted to the Shizuoka Cancer Center were included in this study with their written informed consent. Surgically resected tissues, tumor biopsies, and/or body cavity fluids were collected and tested for 23 hotspot sites of driver mutations in 9 genes (EGFR, KRAS, BRAF, PIK3CA, NRAS, MEK1, AKT1, PTEN, and HER2), gene amplifications in 5 genes (EGFR, MET, PIK3CA, FGFR1, and FGFR2), and ALK, ROS1, and RET fusions.,Genetic alterations were detected in 54.3% (223 of 411) of all patients. The most common genetic alterations detected in this study were EGFR mutations (35.0%) followed by KRAS mutations (8.5%) and ALK fusions (5.0%). Concurrent genetic alterations were detected in 22 patients (5.4%), and EGFR mutations were observed in 16 patients as the most common partner for concurrent genetic alteration. Significantly more concurrent genetic alterations were observed in older patients.,This is one of the largest reports of a prospective tumor genotyping study on Japanese patients with adenocarcinoma. These data suggest that mutational profiling data using a multimutational testing platform would be valuable for expanding the range of molecular-targeted therapeutics in lung cancer.

关键词
driver mutation lung adenocarcinoma molecular-targeted therapeutics multimutational profiling personalized cancer medicine
文献信息
期刊
Cancer
期刊简称
Cancer
发表日期
2014-06-16
收录日期
2014-05-07
更新日期
2016-11-25
语言
英语
国家/地区
United States
NLM ID
0374236
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