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Related Experiment Video

Updated: Mar 18, 2026

Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment — Challenges and Innovations in Cancer Prognosis
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Immune Patterns Shape Liver Hepatocellular Carcinoma Prognosis.

Yi-Jie Zhang1, Ning Liu2

  • 1Department of Hepatobiliary and Organ Transplantation, The First Affiliated Hospital of China Medical University, Shenyang, P. R. China; The Key Laboratory of Organ Transplantation of Liaoning Province, The First Affiliated Hospital of China Medical University, Shenyang, P. R. China.

Cellular and Molecular Gastroenterology and Hepatology
|March 16, 2026
PubMed
Summary

Immune cell infiltration and tumor genetics impact liver cancer. CST7 enhances immune cell infiltration and boosts PD-1 immunotherapy effectiveness, offering a potential therapeutic strategy for hepatocellular carcinoma.

Keywords:
Immune Cell InfiltrationImmune CheckpointsLiver Hepatocellular CarcinomaMachine Learning AlgorithmsMeta-AnalysisSingle Sample Gene Set Enrichment AnalysisTumor Immune MicroenvironmentTumor Mutational Burden

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Area of Science:

  • Hepatocellular carcinoma (LIHC) research
  • Immunotherapy and tumor microenvironment
  • Cancer genomics and bioinformatics

Background:

  • Immune cell infiltration (ICI) and tumor genetic variability significantly influence liver hepatocellular carcinoma (LIHC) prognosis and treatment.
  • Understanding the interplay between the tumor immune microenvironment (TIME) and genetic landscape is crucial for improving LIHC outcomes.
  • Current knowledge on the specific roles of these factors in LIHC progression and immunotherapy response requires further elucidation.

Purpose of the Study:

  • To investigate how immune cell infiltration and genetic factors shape LIHC progression.
  • To identify key regulatory genes that can potentially enhance the effectiveness of immunotherapy in LIHC.
  • To explore the prognostic value of tumor mutational burden (TMB) and specific immune infiltration patterns in LIHC.

Main Methods:

  • Analysis of LIHC datasets from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO).
  • Application of CIBERSORT and ESTIMATE algorithms for tumor immune microenvironment (TIME) evaluation and tumor mutational burden (TMB) calculation.
  • Utilized gene set enrichment analysis, Weighted Gene Co-expression Network Analysis (WGCNA), and machine learning to identify immunoregulatory genes, including CST7, with validation in mouse models for PD-1 blockade response.

Main Results:

  • Distinct clusters of immune cell infiltration (ICI) associated with survival were identified, with Cluster B patients exhibiting significantly better outcomes.
  • Gene subtype A correlated with prolonged survival and increased M1 macrophage infiltration.
  • CST7 was identified as a critical regulator promoting CD8+ T cell infiltration and showing synergistic effects with PD-1 antibody therapy. TMB was a significant independent prognostic marker.

Conclusions:

  • CST7 plays a vital role in enhancing immune cell infiltration (ICI) within the tumor microenvironment.
  • CST7 significantly boosts the efficacy of PD-1 based immunotherapy in hepatocellular carcinoma (LIHC).
  • CST7 represents a promising therapeutic target for improving immunotherapy outcomes in LIHC patients.