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.

Plos One
|August 20, 2026
PubMed

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.

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