Molecular subtyping and prognostic assessment based on tumor mutation burden in patients with lung adenocarcinomas

Changzheng Wang, Han Liang, Cong Lin, Fuqiang Li, Guoyun Xie, Sitan Qiao, Xulian Shi, Jianlian Deng, Xin Zhao, Kui Wu, Xiuqing Zhang

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

The distinct molecular subtypes of lung cancer are defined by monogenic biomarkers, such as EGFR, KRAS, and ALK rearrangement. Tumor mutation burden (TMB) is a potential biomarker for response to immunotherapy, which is one of the measures for genomic instability. The molecular subtyping based on TMB has not been well characterized in lung adenocarcinomas in the Chinese population. Here we performed molecular subtyping based on TMB with the published whole exome sequencing data of 101 lung adenocarcinomas and compared the different features of the classified subtypes, including clinical features, somatic driver genes, and mutational signatures. We found that patients with lower TMB have a longer disease-free survival, and higher TMB is associated with smoking and aging. Analysis of somatic driver genes and mutational signatures demonstrates a significant association between somatic RYR2 mutations and the subtype with higher TMB. Molecular subtyping based on TMB is a potential prognostic marker for lung adenocarcinoma. Signature 4 and the mutation of RYR2 are highlighted in the TMB-High group. The mutation of RYR2 is a significant biomarker associated with high TMB in lung adenocarcinoma.

Original languageEnglish (US)
Article number4251
JournalInternational journal of molecular sciences
Volume20
Issue number17
DOIs
StatePublished - Sep 1 2019
Externally publishedYes

Keywords

  • Lung adenocarcinomas
  • Molecular subtype
  • RYR2
  • Tumor mutation burden

ASJC Scopus subject areas

  • Catalysis
  • Molecular Biology
  • Spectroscopy
  • Computer Science Applications
  • Physical and Theoretical Chemistry
  • Organic Chemistry
  • Inorganic Chemistry

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