Alterations in genes involved in glycolysis and hypoxia affect the prognosis of pancreatic cancer.

ABSTRACT:

Purpose

To construct a prognostic model for pancreatic cancer based on glycolytic and hypoxic metabolic subtypes. To analyze the biological characteristics of these subtypes and explore potential therapeutic options.

Methods

We obtained mRNA, simple nucleotide variation (SNP), and clinical data for pancreatic cancer from The Cancer Genome Atlas (TCGA). Patients were classified into four metabolic subtypes. We focused on glycolysis and hypoxia subtypes. Single-sample gene set enrichment analysis (ssGSEA) assessed immune cell infiltration. We evaluated the effects of immunotherapy and chemotherapy on these subtypes. Cox regression and random survival forest algorithms were used to build a prognostic model. Validation was performed using data from the International Cancer Genom

SUBMITTER: Huang Y 

PROVIDER: S-EPMC11295968 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature