Identification and Validation of Basement Membrane Related LncRNA Signatures as a Novel Prognostic Model for Hepatocellular Carcinoma

Author:

Liu Xuyang,Lv Chao,Zheng Jian,Xiao Jingjing,He Nan,Du Jun,Yang Xianwu,Gu Huajian

Abstract

AbstractHepatocellular carcinoma (HCC) is a significant cancer with limited treatments and a poor prognosis, with the basement membrane (BM) playing a crucial role in its initiation and growth. This study utilized data from The Cancer Genome Atlas and the Gene Expression Omnibus (GEO) databases to identify basement membrane-related genes differentially expressed in HCC. Through gene co-expression analysis, BM-associated long non-coding RNAs (lncRNAs) were discovered. LncRNAs related to HCC survival were selected via univariate analysis, and a prognostic model was constructed using LASSO regression and multivariate analysis. This model effectively classified HCC patients into high and low-risk groups, uncovering significant differences in prognosis, immune response, mutation, and drug sensitivity. Six BM-related lncRNAs (GSEC, MIR4435-2HG, AC092614.1, AC127521.1, LINC02580, and AC008050.1) were validated in normal and HCC cell lines, and the key role of AC092614.1 in regulating proliferation, migration, and invasion of HCC cells in vitro was explored. This research emphasizes the prognostic and therapeutic relevance of BM-related lncRNAs in HCC, highlighting AC092614.1’s role in disease progression and as a potential target for targeted therapy.

Funder

Science and Technology Fund Project of Guizhou Provincial Health Commission

National Natural Science Foundation of Guizhou Medical University

Science and Technology Support Program of Guizhou Province in 2019

Guizhou Science and Technology Foundation Program 2023

Publisher

Springer Science and Business Media LLC

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