A 6‑gene risk score system constructed for predicting the clinical prognosis of pancreatic adenocarcinoma patients.

ABSTRACT: Pancreatic adenocarcinoma (PAC) is the most common type of pancreatic cancer, which commonly has an unfavorable prognosis. The present study aimed to develop a novel prognostic prediction strategy for PAC patients. mRNA sequencing data of PAC (the training dataset) were extracted from The Cancer Genome Atlas database, and the validation datasets (GSE62452 and GSE79668) were acquired from the Gene Expression Omnibus database. The differentially expressed genes (DEGs) between good and poor prognosis groups were analyzed by limma package, and then prognosis‑associated genes were screened using Cox regression analysis. Subsequently, the risk score system was constructed and confirmed using Kaplan‑Meier (KM) survival analysis. After the survival associated‑clinical factors were screened using C

SUBMITTER: Liu Y 

PROVIDER: S-EPMC6365694 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature