A four prognosis-associated lncRNAs (PALnc) based risk score system reflects immune cell infiltration and predicts patient survival in pancreatic cancer.

ABSTRACT:

Background

Pancreatic cancer (PC) is one of the most common cancers and the leading cause of cancer-related death worldwide. Exploring novel predictive biomarkers for PC patients' prognosis is in urgent need.

Methods

In the present study, we conducted Cox proportional hazards regression to identify critical prognosis-associated lncRNAs (PALncs) in TCGA PC dataset. Based on the results of multivariate analysis, a PALnc-based risk score system was established, and validated in GSE62452 dataset. The validity and reliability of the risk score system for prognosis of PC were evaluated through ROC analysis. And function enrichment analyses for the PALncs were also performed.

Result

In the multivariate analysis, four PALncs (LINC00476, C9orf163, LINC00346 and DSCR9) were scr

SUBMITTER: Zhuang H 

PROVIDER: S-EPMC7547431 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature