A novel molecular-clinicopathologic nomogram to improve prognosis prediction of hepatocellular carcinoma.

ABSTRACT:

Background

Emerging evidence suggests that long non-coding RNA (lncRNA) plays a crucial part in the development and progress of hepatocellular carcinoma (HCC). The objective was to develop novel molecular-clinicopathological prediction methods for overall survival (OS) and recurrence of HCC.

Results

An 8-lncRNA-based classifier for OS and a 14-lncRNA-based classifier for recurrence were developed by LASSO COX regression analysis, both of which had high accuracy. The tdROC of OS-nomogram and recurrence-nomogram indicates the satisfactory accuracy and predictive power. The classifiers and nomograms for predicting OS and recurrence of HCC were validated in the Test and GEO cohorts.

Conclusions

These two lncRNA-based classifiers could be independent prognostic factors for

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC7377850 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature