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Dataset Information

Identification of an autophagy-related gene signature that can improve prognosis of hepatocellular carcinoma patients.


ABSTRACT:

Background

Autophagy is a programmed cell degradation mechanism that has been associated with several physiological and pathophysiological processes, including malignancy. Improper induction of autophagy has been proposed to play a pivotal role in the progression of hepatocellular carcinoma (HCC).

Methods

Univariate Cox regression analysis of overall survival (OS) was performed to identify risk-associated autophagy-related genes (ARGs) in HCC data set from The Cancer Genome Atlas (TCGA). Multivariate cox regression was then performed to develop a risk prediction model for the prognosis of 370 HCC patients. The multi-target receiver operating characteristic (ROC) curve was used to determine the model's accuracy. Besides, the relationship between drug sensitivity and ARGs expr

SUBMITTER: Huo X 

PROVIDER: S-EPMC7433127 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature