ORIGINAL RESEARCH article
Front. Oncol.
Sec. Molecular and Cellular Oncology
Volume 15 - 2025 | doi: 10.3389/fonc.2025.1590094
The construction and evaluation of a prognostic risk score model for HCC based on MPT-related LncRNAs
Provisionally accepted
- 1Fuzong Clinical Medical College, Fujian Medical University, Fuzhou, China
- 2Department of Hepatobiliary Surgery, 900TH Hospital of Joint Logistics Support Force, Fuzhou, China
- 3Fujian Medical University, Fuzhou, Fujian Province, China
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Background: Hepatocellular carcinoma (HCC) is the second leading cause of cancer-related deaths in China. It has a high rate of postoperative recurrence and lacks prognostic markers. In this study, we first analyzed mitochondrial permeability transition (MPT) necrosis-associated long non-codingRNAs (LncRNAs), integrated multi-omics, and constructed a prognostic model. We also revealed themechanism by which it regulates the immune microenvironment. This provides a new target fortargeted therapy of HCC. Objective: Screening and construction of a prognostic risk score model for MPT-driven necrosis-associated LncRNAs in HCC and exploration of their potential role in HCC. Results: We obtained MPT-driven necrosis-related LncRNAs (MPTDNRLncRNAs) strongly correlated with HCC through person correlation analysis. Additionally, MPT-driven necrosis-related prognostic LncRNAs were obtained through univariate Cox regression analysis. A new prognostic risk model consisting of three MPTDNRLncRNAs was constructed using LASSO-COX regression. The model was tested using multiple bioinformatics methods, which suggested that it could significantly differentiate between high- and low-risk groups (P < 0.05) and demonstrated good survival prediction efficacy (AUC = 0.725). Differential genes in the high- and low-risk groups were enriched in pathways related to the cell cycle and cellular composition. Combined with immune cell infiltration and immune function scores, these results showed that patients in the low-risk group had a more significant clinical response to immunotherapy (p < 0.05). Furthermore, we verified the expression level of prognostic genes using the RT-qPCR method on cancerous and paracancerous tissues from HCC patients who underwent HCC resection at our hospital. Conclusion: The risk scoring model and prognostic genes in this study have been shown to possess satisfactory predictive value, which may prove beneficial for the assessment of risk and the selection of individualized chemotherapy regimens for patients with HCC. A preliminary discussion is presented on the potential biological significance of risk scores in HCC.
Keywords: HCC, TCGA, lncRNA, MPT, Prognostic model
Received: 08 Mar 2025; Accepted: 30 Jun 2025.
Copyright: © 2025 Lin, Yu, Chen, Chen, Chi, Lin and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Yongbiao Chen, Department of Hepatobiliary Surgery, 900TH Hospital of Joint Logistics Support Force, Fuzhou, China
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