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Identification of a vascular invasion-related signature based on lncRNA pairs for predicting prognosis in hepatocellular carcinoma by Nan Zhao; Chunsheng Ni; Danfang Zhang; Na Che; Yanlei Li; Xiao Wang is a Medicine article available to read on EtoBox.

What is Identification of a vascular invasion-related signature based on lncRNA pairs for predicting prognosis in hepatocellular carcinoma about?

## Objectives Most signatures are constructed on the basis of RNA or protein expression levels. The value of vascular invasion-related signatures based on lncRNA pairs, regardless of their specific expression level in hepatocellular carcinoma (HCC), is not yet clear. ## Methods Vascular invasion-related differentially expressed lncRNA (DElncRNA) pairs were identified with a two-lncRNA combination strategy by using a novel modeling algorithm. Based on the optimal cutoff value of the ROC curve, patients with HCC were classified into high- and low-risk subgroups. We used KM survival analysis to evaluate the overall survival rate of patients in the high- and low-risk subgroups. The independent indicators of survival were identified using univariate and multivariate Cox analyses. ## Results Five pairs of vascular invasion-related DElncRNAs were selected to develop a predictive model for HCC. High-risk subgroups were closely associated with aggressive clinicopathological characteristics and genes, chemotherapeutic sensitivity, and highly expressed immune checkpoint inhibitors. ## Conclusions We identified a signature composed of 5 pairs of vascular invasion-related lncRNAs that does not

Who reads Identification of a vascular invasion-related signature based on lncRNA pairs for predicting prognosis in hepatocellular carcinoma?

Author

Nan Zhao; Chunsheng Ni; Danfang Zhang; Na Che; Yanlei Li; Xiao Wang

Publisher

BioMed Central

Published

2024

Language

EN

Field

Medicine (Health Sciences)