Identification of a novel lncRNA prognostic signature and analysis of functional lncRNA AC115619.1 in hepatocellular carcinoma

Frontiers in Pharmacology

Pharmacology

Yonggang Ma¹  Binliang Gan²  Ganlu Deng³  Chuanjie Liao³  Youwu He³  Linfeng Mao⁴ 

[1] Department of NeuroInterventional Surgery, Binzhou Medical University Hospital, Binzhou, Shandong, China;Department of Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China;Department of Oncology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China;Department of Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China;Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning, Guangxi, China;Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning, Guangxi, China;Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China;

关键词: long non-coding RNA;    hepatocellular carcinoma;    biomarker;    diagnosis;    prognosis;   

DOI  :  10.3389/fphar.2023.1167418

 received in 2023-02-16, accepted in 2023-07-18,  发布年份 2023

来源: Frontiers

【 摘 要 】

Background: Hepatocellular carcinoma (HCC) is the deadliest malignancy. Long non-coding RNAs (lncRNAs) are involved in the development of multiple human malignancies. This study aimed to establish a reliable signature and identify novel biomarkers for HCC patients.Methods: Differentially expressed lncRNAs (DElncRNAs) were identified from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. Univariate, LASSO, and multivariate Cox regression analyses were applied to screen the prognostic lncRNAs and establish a prognostic model. Receiver operating characteristic (ROC) curves and Kaplan–Meier analyses were conducted to validate the prognostic value of this model. The association between lncRNAs and differential m6A genes was analyzed by Spearman’s analysis. A series of bioinformatic and in vitro experiments were applied to explore the function of hub lncRNA.Results: A total of 32 DElncRNAs were identified, and 12 DElncRNAs were associated with the prognosis of HCC patients. A prognostic signature comprising six prognostic lncRNAs (LINC02428, LINC02163, AC008549.1, AC115619.1, CASC9, and LINC02362) was constructed, and the model exhibited an excellent capacity for prognosis prediction. Furthermore, 12 differential m6A regulators were identified, and RBMX was found to be correlated negatively with the hub lncRNA AC115619.1. The expression level of AC115619.1 was lower in HCC tissues than that in normal tissues and was significantly related to clinicopathologic features, survival rate, and drug sensitivity. Overexpression of AC115619.1 notably inhibited the proliferation, migration, and invasion of HCC cells.Conclusion: This study provided a promising prognostic signature for HCC patients and identified AC115619.1 as a novel biomarker, which plays an essential role in regulating the progression of HCC.

【 授权许可】

Unknown   
Copyright © 2023 Gan, He, Ma, Mao, Liao and Deng.