A mitochondrial-related gene signature predicts prognosis and immunotherapy response in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, characterized by frequent recurrence and poor clinical outcomes. This study aimed to develop a mitochondria-related genes (MRGs) signature for prognostic stratification and immunotherapy response prediction in HCC patients. Derived from the TCGA-LIHC cohort and validated across independent ICGC-JP and GEO datasets, the MRGs signature comprised four genes (DTYMK, ABCB6, GOT2, and TOMM40L) that were markedly overexpressed in HCC tissues and strongly associated with adverse prognosis. MRGs-based nomogram exhibited superior predictive accuracy, highlighting their clinical potential for personalized risk assessment. Within the tumor microenvironment, high-MRGs tumors demonstrated significant enrichment of immunosuppressive components, including regulatory T cells, tumor-associated macrophages, and checkpoint molecules PD-1 and CTLA-4. The MRGs-high subgroup showed heightened sensitivity to cisplatin but resistance to erlotinib, and impaired immunotherapy responses, which has potential clinical transformation value in the design of individualized combination therapy. Functional validation revealed ABCB6 as a key oncogenic driver, with genetic depletion significantly attenuating HCC cell proliferation, migration, and invasion in vitro. Collectively, the MRGs signature serves as a better predictor of HCC prognosis and therapeutic resistance, while its core component ABCB6 emerges as a critical regulator of HCC malignancy.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-07-14
DOI
https://doi.org/10.1038/s41598-025-09464-3
Citations
1
Primary Topic
Ferroptosis and cancer prognosis
Type
article
Field-Weighted Citation Impact
1.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A mitochondrial-related gene signature predicts prognosis and immunotherapy response in hepatocellular carcinoma

Qiongfang Zhang, Xiaolong Tang, Hui‐Kuo G. Shu, Rui Li
1 citations
Scientific Reports
Ferroptosis and cancer prognosis
1.52
article

A mitochondrial-related gene signature predicts prognosis and immunotherapy response in hepatocellular carcinoma

Qiongfang Zhang, Xiaolong Tang, Hui‐Kuo G. Shu, Rui Li
article en
1 citations

Abstract

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, characterized by frequent recurrence and poor clinical outcomes. This study aimed to develop a mitochondria-related genes (MRGs) signature for prognostic stratification and immunotherapy response prediction in HCC patients. Derived from the TCGA-LIHC cohort and validated across independent ICGC-JP and GEO datasets, the MRGs signature comprised four genes (DTYMK, ABCB6, GOT2, and TOMM40L) that were markedly overexpressed in HCC tissues and strongly associated with adverse prognosis. MRGs-based nomogram exhibited superior predictive accuracy, highlighting their clinical potential for personalized risk assessment. Within the tumor microenvironment, high-MRGs tumors demonstrated significant enrichment of immunosuppressive components, including regulatory T cells, tumor-associated macrophages, and checkpoint molecules PD-1 and CTLA-4. The MRGs-high subgroup showed heightened sensitivity to cisplatin but resistance to erlotinib, and impaired immunotherapy responses, which has potential clinical transformation value in the design of individualized combination therapy. Functional validation revealed ABCB6 as a key oncogenic driver, with genetic depletion significantly attenuating HCC cell proliferation, migration, and invasion in vitro. Collectively, the MRGs signature serves as a better predictor of HCC prognosis and therapeutic resistance, while its core component ABCB6 emerges as a critical regulator of HCC malignancy.

Scientific ReportsVol. 15(1)
Chengdu University of Traditional Chinese Medicine (CN)
Good health and well-being
Openalex Percentile: Top 16%
Ferroptosis and cancer prognosis
1.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.