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Updated: Sep 9, 2025

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Mass Cytometry Analysis of Systemic and Local Immune Responses in Hepatocellular Carcinoma
Published on: April 25, 2025
290
Exploration of the Roles and Mechanisms Between Tumor-Infiltrating Lymphocytes and Hepatocellular Carcinoma Based on
Taiyu Shi1, Donghao Cheng1, Xinyan Du1
1The First Clinical Medical College of Anhui Medical University, Hefei, China.
International Journal of Genomics
|August 29, 2025
Summary
Tumor-infiltrating lymphocytes (TILs) suppress immunity in non-alcoholic steatohepatitis-associated hepatocellular carcinoma (NASH-HCC). These TIL-related genes offer potential as prognostic markers for NASH-HCC patients.
Area of Science:
- Oncology
- Immunology
- Genetics
Background:
- Hepatocellular carcinoma (HCC), particularly NASH-HCC, presents significant treatment challenges.
- The tumor immune microenvironment (TIME) and tumor-infiltrating lymphocytes (TILs) are critical in HCC progression and treatment response.
Purpose of the Study:
- To investigate the immunosuppressive role of TIL-related genes in NASH-HCC.
- To identify potential prognostic factors for NASH-HCC.
- To explore therapeutic strategies targeting the TIME.
Main Methods:
- Gene Set Enrichment Analysis (GSEA) and Weighted Gene Coexpression Network Analysis (WGCNA) were used to analyze immune suppression and identify gene modules.
- Machine learning models were developed for prognostic prediction and validated using GEO and TCGA datasets.
- Single-cell RNA sequencing (scRNA-seq) analyzed TIL-related gene roles in distinct immune cell populations.
Main Results:
- 10 distinct cell types were identified in HCC, with T cells showing the highest TIL pathway activity.
- TILs were found to play a critical role in cellular communication through MIF signaling.
- A prognostic model based on TIL-related genes demonstrated predictive power.
Conclusions:
- TILs exhibit an immunosuppressive function in NASH-HCC.
- TIL-related genes are significant independent prognostic factors for NASH-HCC.
- These findings offer insights for developing novel immunotherapeutic strategies for NASH-HCC.
Keywords:
hepatocellular carcinomamachine learningpostoperative prediction modeltumor-infiltrating lymphocytes
