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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
World J Gastrointest Oncol. Nov 15, 2026; 18(11): 124061
Published online Nov 15, 2026. doi: 10.4251/wjgo.124061
Ferroptosis-mitochondria-related molecular subtypes and prognostic signature reveal immune and pathway heterogeneity in hepatocellular carcinoma
Shan Han, Zhi-Wei Feng, Yun Ran, Gui-Ping Ma, Yi-Chi Zhou, Jin-Zhen Lv, Xiao-Bin Li, Cong-Hui Wang, Long-Zhu Wang, Shi-Ping Hu
Shan Han, Yun Ran, Jin-Zhen Lv, Xiao-Bin Li, Cong-Hui Wang, Long-Zhu Wang, Shi-Ping Hu, Department of Hepatology, Beijing University of Chinese Medicine Shenzhen Hospital (Longgang), Shenzhen 518172, Guangdong Province, China
Zhi-Wei Feng, Department of Encephalopathy, Third Affiliated Hospital of Beijing University of Chinese Medicine, Beijing 100029, China
Gui-Ping Ma, Central Laboratory, Beijing University of Chinese Medicine Shenzhen Hospital (Longgang), Shenzhen 518172, Guangdong Province, China
Yi-Chi Zhou, Department of Spleen and Stomach Diseases, Beijing University of Chinese Medicine Shenzhen Hospital (Longgang), Shenzhen 518172, Guangdong Province, China
Co-first authors: Shan Han and Zhi-Wei Feng.
Author contributions: Han S and Feng ZW contributed equally to this work as co-first authors; Han S was responsible for conceptualization, data curation, formal analysis, visualization, and preparation of the original draft; Feng ZW performed data acquisition, bioinformatics analysis, software implementation, validation, and figure preparation; Ran Y contributed to methodology and data interpretation; Ma GP performed the biostatistical review of the statistical design, analytical procedures, reported outputs, and statistical interpretation; Zhou YC, Lv JZ, and Li XB contributed to results verification; Wang CH and Wang LZ contributed to data validation and result interpretation; Ran Y, Ma GP, Zhou YC, Lv JZ, Li XB, Wang CH, and Wang LZ contributed to manuscript revision; Zhou YC, Lv JZ, Li XB, Wang CH, and Wang LZ contributed to literature review; Hu SP was responsible for conceptualization, supervision, project administration, funding acquisition, critical manuscript revision, and final approval of the submitted version. All authors read and approved the final manuscript.
AI contribution statement: No artificial intelligence tools were used in this manuscript.
Supported by General Program of the Guangdong Basic and Applied Basic Research Foundation, No. 2025A1515011796; Guangdong Provincial Enterprise Joint Fund, No. 2023A1515220096; General Program of the Shenzhen Natural Science Foundation, No. JCYJ20240813165129038; Open Project of the National Key Laboratory for Integration and Innovation of Classical Formulas and Modern Chinese Medicine, No. LSLSKL20240117; and Sanming Project of Medicine in Shenzhen, No. SZZYSM202311018.
Institutional review board statement: This study used only publicly available, de-identified datasets and involved no new human participants or clinical specimens; therefore, additional institutional review board approval was not required.
Conflict-of-interest statement: The authors report no relevant conflicts of interest for this article.
Data sharing statement: The datasets analyzed in this study are publicly available from The Cancer Genome Atlas, Gene Expression Omnibus, International Cancer Genome Consortium, FerrDb, MitoCarta 3.0, and UALCAN-CPTAC. Processed data and statistical code are available from the corresponding author upon reasonable request.
Corresponding author: Shi-Ping Hu, PhD, Chief Physician, Full Professor, Department of Hepatology, Beijing University of Chinese Medicine Shenzhen Hospital (Longgang), No. 1 Dayun Road, Longgang District, Shenzhen 518172, Guangdong Province, China. 13153441966@163.com
Received: June 8, 2026
Revised: June 27, 2026
Accepted: August 20, 2026
Published online: November 15, 2026
Processing time: 144 Days and 0.6 Hours
Abstract
BACKGROUND

Hepatocellular carcinoma (HCC) is highly heterogeneous, and conventional clinicopathological factors incompletely capture its biological diversity. Ferroptosis and mitochondrial dysfunction converge on oxidative stress, metabolism, and regulated cell death, but their integrated prognostic relevance remains unclear. We hypothesized that genes shared by ferroptosis and mitochondrial programs would define biologically distinct HCC subtypes and support prognostic stratification.

AIM

To characterize ferroptosis-mitochondria-related heterogeneity and develop a prognostic signature for HCC.

METHODS

Ferroptosis-related genes from FerrDb were intersected with mitochondrial genes from MitoCarta 3.0 and analyzed in The Cancer Genome Atlas liver HCC cohort. Differential expression, Cox regression, consensus clustering, immune scoring, pathway enrichment, least absolute shrinkage and selection operator Cox modeling, 7:3 internal validation, and external evaluation in GSE14520 and the International Cancer Genome Consortium Liver Cancer-RIKEN Japan (ICGC-LIRI-JP) cohort were performed. A nomogram was constructed and evaluated using calibration and decision curve analyses; exploratory analysis of public proteomic data was also performed.

RESULTS

Forty-seven overlapping genes were identified, significantly exceeding the overlap expected by chance (1.71-fold enrichment; P = 2.41 × 10-4). Four molecular subtypes showed distinct survival and immune score patterns. A six-gene score comprising NT5DC2, TIMM9, CISD1, LONP1, PRDX6, and LIG3 was constructed. In the internal validation cohort, the model achieved 1-, 3-, and 5-year areas under the curve of 0.767, 0.740, and 0.575, respectively, with a C-index of 0.654. In the external ICGC-LIRI-JP cohort, the corresponding areas under the curve were 0.682, 0.648, and 0.581, respectively. In both GSE14520 and ICGC-LIRI-JP, the continuous risk score remained significantly associated with overall survival, whereas the dichotomized risk groups did not show statistically significant Kaplan-Meier separation. High-risk tumors showed proliferative and metabolic pathway enrichment.

CONCLUSION

Ferroptosis-mitochondria-related genes capture prognostic and immunological heterogeneity in HCC, although the six-gene score requires further prospective and experimental validation.

Keywords: Hepatocellular carcinoma; Ferroptosis; Mitochondria; Prognostic signature; Immune cell scores; Bioinformatics

Core Tip: This study integrated ferroptosis- and mitochondria-related genes to characterize hepatocellular carcinoma heterogeneity and develop a six-gene prognostic score. Four molecular subtypes showed distinct survival and immune score patterns. Internal validation supported short- and intermediate-term discrimination, whereas performance weakened at 5 years, and Kaplan-Meier separation after risk-group dichotomization was not statistically significant in the external cohorts. The principal contribution is a compact, biologically interpretable framework linking ferroptosis, mitochondrial dysfunction, immune remodeling, and metabolic pathway alterations in hepatocellular carcinoma.

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