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Common driver mutations and smoking history affect tumor mutation burden in lung adenocarcinoma

Authors :
Tatsuro Okamoto
Shujiro Okuda
Kazuki Takada
Stephen Lyle
Yoshifumi Shimada
Masanori Tsuchida
Hiroshi Ichikawa
Masayuki Nagahashi
Seijiro Sato
Satoshi Watanabe
Kizuki Yuza
Toshifumi Wakai
Kazuaki Takabe
Source :
Journal of Surgical Research. 230:181-185
Publication Year :
2018
Publisher :
Elsevier BV, 2018.

Abstract

Recent progress in genomic analysis using next-generation sequencing technology has enabled the comprehensive detection of mutations and tumor mutation burden (TMB) in patients. A high TMB (TMB-H) tumor is defined as one with high somatic mutational rates, which correlates with clinical responses to certain treatments such as immunotherapies. We determined TMB in lung adenocarcinoma and clarified the characteristics of patients with TMB-H in relation to common driver mutations and smoking history.Genomic aberrations and TMB were determined in Japanese patients with lung adenocarcinoma (n = 100) using next-generation sequencing of 415 known cancer genes. TMB-H was defined as20 mutations per megabase (Mb) of sequenced DNA.The median TMB was 13.5 (5-33) mutations/Mb. Ten of 100 (10%) patients showed TMB-H, and the others showed low TMB (TMB-L). Only two of 10 (20%) patients with TMB-H had one of the common driver mutations (ALK and ERBB2 mutation), whereas 57 of 90 (63%) patients with TMB-L had one of the driver mutations, including ALK, EGFR, ERBB2, ROS, RET, and MET (P 0.05). Notably, no EGFR mutation was observed in patients with TMB-H. Eight of 10 (80%) patients with TMB-H had recent smoking history, whereas only 17 of 90 (19%) patients with TMB-L had recent smoking history (P 0.001).We found that TMB-H is associated with smoking history, whereas TMB-L is associated with the common driver mutations in lung adenocarcinoma, which may impact treatment strategies for these patients.

Details

ISSN :
00224804
Volume :
230
Database :
OpenAIRE
Journal :
Journal of Surgical Research
Accession number :
edsair.doi.dedup.....bbd8da2d82223d84fd7b216d61e448cf
Full Text :
https://doi.org/10.1016/j.jss.2018.07.007