A 4-gene-based hypoxia signature is associated with tumor immune microenvironment and predicts the prognosis of pancreatic cancer patients

World J Surg Oncol. 2021 Apr 17;19(1):123. doi: 10.1186/s12957-021-02204-7.

Abstract

Background: Pancreatic cancer (PAC) is one of the most devastating cancer types with an extremely poor prognosis, characterized by a hypoxic microenvironment and resistance to most therapeutic drugs. Hypoxia has been found to be one of the factors contributing to chemoresistance in PAC, but also a major driver of the formation of the tumor immunosuppressive microenvironment. However, the method to identify the degree of hypoxia in the tumor microenvironment (TME) is incompletely understood.

Methods: The mRNA expression profiles and corresponding clinicopathological information of PAC patients were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database, respectively. To further explore the effect of hypoxia on the prognosis of patients with PAC as well as the tumor immune microenvironment, we established a hypoxia risk model and divided it into high- and low-risk groups in line with the hypoxia risk score.

Results: We established a hypoxia risk model according to four hypoxia-related genes, which could be used to demonstrate the immune microenvironment in PAC and predict prognosis. Moreover, the hypoxia risk score can act as an independent prognostic factor in PAC, and a higher hypoxia risk score was correlated with poorer prognosis in patients as well as the immunosuppressive microenvironment of the tumor.

Conclusions: In summary, we established and validated a hypoxia risk model that can be considered as an independent prognostic indicator and reflected the immune microenvironment of PAC, suggesting the feasibility of hypoxia-targeted therapy for PAC patients.

Keywords: Hypoxia; Hypoxia risk model; Immune response; Pancreatic cancer; Prognosis; Tumor microenvironment.

MeSH terms

  • Biomarkers, Tumor / genetics
  • Databases, Genetic
  • Gene Expression Profiling / methods
  • Gene Expression Regulation, Neoplastic / genetics
  • Humans
  • Hypoxia / genetics*
  • Pancreatic Neoplasms / genetics*
  • Pancreatic Neoplasms / pathology
  • Prognosis
  • Tumor Microenvironment*

Substances

  • Biomarkers, Tumor