Opposite Effects of M1 and M2 Macrophage Subtypes on Lung Cancer Progression

Sci Rep. 2015 Sep 24:5:14273. doi: 10.1038/srep14273.

Abstract

Macrophages in a tumor microenvironment have been characterized as M1- and M2-polarized subtypes. Here, we discovered the different macrophages' impacts on lung cancer cell A549. The M2a/M2c subtypes promoted A549 invasion and xenograft tumor growth. The M1 subtype suppressed angiogenesis. M1 enhanced the sensitivity of A549 to cisplatin and decreased the tube formation activity and cell viability of A549 cells by inducing apoptosis and senescence. Different macrophage subtypes regulated genes involved in the immune response, cytoskeletal remodeling, coagulation, cell adhesion, and apoptosis pathways in A549 cells, which was a pattern that correlated with the altered behaviors of the A549 cells. Furthermore, we found that the identified M1/M2 gene signatures were significantly correlated with the extended overall survival of lung cancer patients. These results suggest that M1/M2 gene expression signature may be used as a prognostic indicator for lung cancer patients, and M1/M2 polarization may be a target of investigation of immune-modulating therapies for lung cancer in the future.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Antineoplastic Agents / pharmacology
  • Biomarkers
  • Cell Line, Tumor
  • Cell Proliferation / drug effects
  • Cell Survival / drug effects
  • Cluster Analysis
  • Drug Resistance, Neoplasm
  • Female
  • Gene Expression Profiling
  • Humans
  • Immunophenotyping
  • Kaplan-Meier Estimate
  • Lung Neoplasms / genetics
  • Lung Neoplasms / immunology*
  • Lung Neoplasms / metabolism
  • Lung Neoplasms / mortality
  • Lung Neoplasms / pathology
  • Macrophages / immunology*
  • Macrophages / metabolism
  • Male
  • Mice
  • Neovascularization, Pathologic / genetics
  • Neovascularization, Pathologic / immunology
  • Neovascularization, Pathologic / metabolism
  • Phenotype*
  • Prognosis
  • Proportional Hazards Models

Substances

  • Antineoplastic Agents
  • Biomarkers