Sample-Specific Perturbation of Gene Interactions Identifies Pancreatic Cancer Subtypes.

ABSTRACT: Pancreatic cancer is a highly fatal disease and an increasing common cause of cancer mortality. Mounting evidence now indicates that molecular heterogeneity in pancreatic cancer significantly impacts its clinical features. However, the dynamic nature of gene expression pattern makes it difficult to rely solely on gene expression alterations to estimate disease status. By contrast, biological networks tend to be more stable over time under different situations. In this study, we used a gene interaction network from a new point of view to explore the subtypes of pancreatic cancer based on individual-specific edge perturbations calculated by relative gene expression value. Our study shows that pancreatic cancer patients from the TCGA database could be separated into four subtypes based on gen

SUBMITTER: Wei R 

PROVIDER: S-EPMC9099782 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature