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Identification and validation of tumor microenvironment-related genes of prognostic value in lung adenocarcinoma

  • Jingyan Yuan
  • , Bo Yuan
  • , Lizhong Zeng
  • , Boxuan Liu
  • , Yang Chen
  • , Xia Meng
  • , Ruiying Sun
  • , Xin Lv
  • , Wei Wang
  • , Shuanying Yang
  • Xi'an Jiaotong University

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Lung adenocarcinoma (LUAD) is a major subtype of non-small cell lung cancer. Despite significant progress in its diagnosis and treatment, the mortality and morbidity rate of LUAD remains high worldwide. The aim of the present study was to perform a systematic investigation of the tumor microenvironment (TME) and identify TME-related genes of prognostic value in patients with LUAD. Firstly, the immune scores and stromal scores of patients with LUAD from The Cancer Genome Atlas were calculated using the Estimation of STromal and Immune cells in MAlignant Tumors using Expression data algorithm, and a total of 281 prognostic TME-related genes were identified. Subsequently, functional analysis and protein-protein interaction network analysis revealed that these genes were mainly related to immune response, inflammatory response and chemotaxis. Finally, two independent LUAD cohorts from the Gene Expression Omnibus database were used to validate these genes, and 4 genes (GTPase IMAP family member 1, T-cell surface glycoprotein CD1b, integrin alpha-L and leukocyte surface antigen CD53) were identified, and downregulation of these genes was indicated to be associated with poor overall survival rate in patients with LUAD. In conclusion, a comprehensive analysis of TME was performed and 4 prognostic TME-related genes in patients with LUAD were identified.

Original languageEnglish
Pages (from-to)1772-1780
Number of pages9
JournalOncology Letters
Volume20
Issue number2
DOIs
StatePublished - Aug 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Gene Expression Omnibus
  • Lung adenocarcinoma
  • Survival analysis
  • The Cancer Genome Atlas
  • Tumor microenvironment

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