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Exploring a four-gene risk model based on doxorubicin resistance-associated lncRNAs in hepatocellular carcinoma

Affiliation
Hepatic Surgery Center, Tongji Hospital, Tongji Medical College ,Huazhong University of Science and Technology ,Wuhan ,China
Zhang, Zunyi;
Affiliation
Hepatic Surgery Center, Tongji Hospital, Tongji Medical College ,Huazhong University of Science and Technology ,Wuhan ,China
Chen, Weixun;
Affiliation
Hepatic Surgery Center, Tongji Hospital, Tongji Medical College ,Huazhong University of Science and Technology ,Wuhan ,China
Luo, Chu;
Affiliation
Hepatic Surgery Center, Tongji Hospital, Tongji Medical College ,Huazhong University of Science and Technology ,Wuhan ,China
Zhang, Wei

Background: Liver cancer is a lethal cancer type among which hepatocellular carcinoma (HCC) is the most common manifestation globally. Drug resistance is a central problem impeding the efficiency of HCC treatment. Long non-coding RNAs reportedly result in drug resistance. This study aimed to identify key lncRNAs associated with doxorubicin resistance and HCC prognosis. Materials and Methods: HCC samples with gene expression profiles and clinical data were accessed from public databases. We applied differential analysis to identify key lncRNAs that differed between HCC and normal samples and between drug-fast and control samples. We also used univariate Cox regression analysis to screen lncRNAs or genes associated with HCC prognosis. The least absolute shrinkage and selection operator (LASSO) was used to identify the key prognostic genes. Finally, we used receiver operating characteristic analysis to validate the effectiveness of the risk model. Results: The results of this study revealed RNF157-AS1 as a key lncRNA associated with both doxorubicin resistance and HCC prognosis. Metabolic pathways such as fatty acid metabolism and oxidative phosphorylation were enriched in RNF157-AS1-related genes. LASSO identified four protein-coding genes— CENPP , TSGA10 , MRPL53 , and BFSP1 —to construct a risk model. The four-gene risk model effectively classified HCC samples into two risk groups with different overall survival. Finally, we established a nomogram, which showed superior performance in predicting the long-term prognosis of HCC. Conclusion: RNF157-AS1 may be involved in doxorubicin resistance and may serve as a potential therapeutic target. The four-gene risk model showed potential for the prediction of HCC prognosis.

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License Holder: Copyright © 2022 Zhang, Chen, Luo and Zhang.

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