Gene landscape and correlation between B-cell infiltration and programmed death ligand 1 expression in lung adenocarcinoma patients from The Cancer Genome Atlas data set

PLoS One. 2018 Dec 6;13(12):e0208459. doi: 10.1371/journal.pone.0208459. eCollection 2018.

Abstract

Tumor-infiltrating lymphocytes are related to positive clinical prognoses in numerous cancer types. Programmed death ligand 1 (PD-L1), a mediator of the PD-1 receptor, plays an inhibitory role in cancer immune responses. PD-L1 upregulation can impede infiltrating T-cell functions in lung adenocarcinoma (LUAD), a lung cancer subtype. However, associations between the expression of PD-L1 and infiltration of B cells (a major immunoregulatory cell) remain unknown. Therefore, we investigated the role of infiltrating B cells in LUAD progression and its correlation with PD-L1 expression. The Cancer Genome Atlas (TCGA) LUAD data set was used to explore associations among B-cell infiltration, PD-L1 expression, clinical outcome, and gene landscape. Gene set enrichment analysis was used to explore putative signaling pathways and candidate genes. The drug enrichment analysis was used to identify candidate genes and the related drugs. We found that high B-cell infiltration was correlated with better prognoses; however, PD-L1 may interfere with the survival advantage in patients with high B-cell infiltration. The gene landscape was characterized comprehensively, with distinct PD-L1 levels in cell populations with high B-cell infiltration. We obtained five upregulated signaling pathways from the gene landscape: apoptosis, tumor necrosis factor (TNF)-α signaling via nuclear factor (NF)-κB, apical surface, interferon-α response, and KRAS signaling. Moreover, four candidate genes and their related target drugs were also identified, namely interleukin-2β receptor (IL2RB), IL-2γ receptor (IL2RG), Toll-like receptor 8 (TLR8), and TNF. These findings suggest that tumor-infiltrating B cells could act as a clinical factor in anti-PD-L1 immunotherapy for LUAD.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adenocarcinoma of Lung / drug therapy*
  • Adenocarcinoma of Lung / genetics
  • Adenocarcinoma of Lung / immunology
  • Aged
  • B-Lymphocytes / metabolism*
  • B7-H1 Antigen / genetics*
  • Databases, Genetic
  • Female
  • Gene Expression Regulation, Neoplastic
  • Gene Regulatory Networks
  • Humans
  • Immunotherapy
  • Lung Neoplasms / drug therapy*
  • Lung Neoplasms / genetics
  • Lung Neoplasms / immunology
  • Lymphocytes, Tumor-Infiltrating / metabolism*
  • Male
  • Middle Aged
  • Prognosis
  • Sequence Analysis, RNA
  • Signal Transduction
  • Survival Analysis
  • Up-Regulation

Substances

  • B7-H1 Antigen
  • CD274 protein, human

Grants and funding

This work was supported by grants from the Ministry of Science and Technology, Taiwan (MOST 106-2320-B-038 -051-MY3), Taipei City Government Contract, Taiwan (105XDAA00013 and 106XDAA00014), Taipei City Hospital Ren-Ai Branch, Taiwan (intramural grant no. TPCH-106-020 and TPCH-107-020), Cathay General Hospital, Taiwan (intramural grant no. 106CGH-TMU-06), and Taipei Medical University contract grant no.: 106-1200-008-110. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.