Establishment of a prognostic model for pancreatic cancer based on mitochondrial metabolism related genes.

ABSTRACT:

Aim

Pancreatic ductal adenocarcinoma (PAAD) is recognized as an exceptionally aggressive cancer that both highly lethal and unfavorable prognosis. The mitochondrial metabolism pathway is intimately involved in oncogenesis and tumor progression, however, much remains unknown in this area. In this study, the bioinformatic tools have been used to construct a prognostic model with mitochondrial metabolism-related genes (MMRGs) to evaluate the survival, immune status, mutation profile, and drug sensitivity of PAAD patients.

Method

Univariate Cox regression and LASSO regression were used to screen the differentially expressed genes (DEGs), and multivariate Cox regression was used to develop the risk model. Kaplan-Meier estimator was employed to identify MMRGs signatures associated

SUBMITTER: Ba Q 

PROVIDER: S-EPMC11358576 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature