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Updated: Aug 22, 2026

Mass Cytometry Analysis of Systemic and Local Immune Responses in Hepatocellular Carcinoma
Published on: April 25, 2025
Streptomyces-linked exercise gene networks orchestrate immune exclusion and determine immunotherapy response in
Xiaoting Zhao1, Yu He2, Yibin Zhang2
1TCM Teaching and Research Department, College of Pharmacy, Daqing Campus, Harbin Medical University, Daqing, Heilongjiang Province, P.R.China.
Abstract:
Exercise-related genes (ERGs) have emerged as potential modulators of tumor biology, yet their systematic characterization in hepatocellular carcinoma (HCC) remains incomplete. Here we integrated 320 ERGs from MSigDB with TCGA-HCC cohort to construct an interaction-perturbation network, identifying two distinct subtypes with divergent prognostic outcomes. Cluster1 (44.4% of patients) exhibited significantly higher network perturbation scores, activated proliferation and epithelial-mesenchymal transition pathways, and elevated immune checkpoint gene expression, collectively contributing to poorer survival. This subtype also demonstrated enhanced immune evasion potential and lower predicted immunotherapy response rates. Conversely, Cluster2 (55.6%) was characterized by metabolic pathway enrichment, increased CTNNB1 mutations, higher tumor mutational burden, and more favorable immunotherapy prediction. Notably, integrated analysis of intratumoral microbiota revealed that Streptomyces abundance was significantly associated with immune exclusion features and negatively correlated with both exercise-related and lactate metabolic pathways. Mediation analysis further suggested that elevated lactate metabolism was statistically associated with adaptive microbial changes, which in turn showed directional associations with exercise-related pathway activity and clinical outcomes. Using Streptomyces-associated host genes, we developed an 8-gene prognostic signature that effectively stratified patient outcomes and predicted immunotherapy response across multiple independent cohorts. Our findings delineate exercise-related molecular subtypes with distinct immune-microbiota-metabolic crosstalk and provide a clinically applicable signature for risk stratification in HCC.
Insights
This study identifies two hepatocellular carcinoma (HCC) subtypes based on exercise-related genes (ERGs). One subtype shows poor prognosis and immune evasion, while the other predicts better immunotherapy response.
Area of Science:
- Oncology
- Genomics
- Immunology
Background:
- Exercise-related genes (ERGs) role in hepatocellular carcinoma (HCC) is not fully understood.
- Systematic characterization of ERGs in HCC is needed.
Purpose of the Study:
- To characterize ERGs in HCC and identify subtypes with distinct prognostic and therapeutic implications.
- To explore the interplay between ERGs, tumor microenvironment, and microbiota in HCC.
Main Methods:
- Integrated analysis of 320 ERGs with TCGA-HCC cohort data.
- Construction of an interaction-perturbation network to identify patient subtypes.
- Analysis of pathway enrichment, immune checkpoint expression, mutations, and intratumoral microbiota.
- Development and validation of an 8-gene prognostic signature.
Main Results:
- Identified two HCC subtypes: Cluster1 (poorer survival, activated proliferation, immune evasion) and Cluster2 (metabolic enrichment, favorable immunotherapy prediction).
- Discovered Streptomyces abundance negatively correlated with exercise-related and lactate metabolic pathways.
- Lactate metabolism mediated associations between microbial changes and exercise-related pathways/clinical outcomes.
- Developed an 8-gene signature predicting outcomes and immunotherapy response.
Conclusions:
- Delineated HCC subtypes with distinct immune-microbiota-metabolic crosstalk.
- Provided a clinically applicable prognostic signature for HCC risk stratification and immunotherapy prediction.
