A genomic-clinical nomogram predicting recurrence-free survival for patients diagnosed with hepatocellular carcinoma.

ABSTRACT: Liver resection surgery is the most commonly used treatment strategy for patients diagnosed with hepatocellular carcinoma (HCC). However, there is still a chance for recurrence in these patients despite the survival benefits of this procedure. This study aimed to explore recurrence-related genes (RRGs) and establish a genomic-clinical nomogram for predicting postoperative recurrence in HCC patients. A total of 123 differently expressed genes and three RRGs (PZP, SPP2, and PRC1) were identified from online databases via Cox regression and LASSO logistic regression analyses and a gene-based risk model containing RRGs was then established. The Harrell's concordance index (C-index), receiver operating characteristic (ROC) curves and calibration curves showed that the model

SUBMITTER: Kong J 

PROVIDER: S-EPMC6825747 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature