A genomic-clinicopathologic nomogram for predicting overall survival of hepatocellular carcinoma.

ABSTRACT:

Background

Hepatocellular carcinoma (HCC) is a common digestive tumor with great heterogeneity and different overall survival (OS) time, causing stern problems for selecting optimal treatment. Here we aim to establish a nomogram to predict the OS in HCC patients.

Methods

International Cancer Genome Consortium (ICGC) database was searched for the target information in our study. Lasso regression, univariate and multivariate cox analysis were applied during the analysis process. And a nomogram integrating model scoring and clinical characteristic was drawn.

Results

Six mRNAs were screened out by Lasso regression to make a model for predicting the OS of HCC patients. And this model was proved to be an independent prognostic model predicting OS in HCC patients. The area u

SUBMITTER: Zhou K 

PROVIDER: S-EPMC7709450 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature