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Updated: Sep 8, 2025

Analysis of Human T Cell Activity in an Allogeneic Co-Culture Setting of Pre-Treated Tumor Cells
Published on: March 7, 2025
Role of tumor gene mutations in treatment response to immune checkpoint blockades
Manni Wang1, Liu Yu1, Xiawei Wei1
1Laboratory of Aging Research and Nanotoxicology, State Key Laboratory of Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No. 17, Block 3, Southern Renmin Road, Chengdu, PR China.
Abstract:
Early studies shed light on the immune suppression of immune checkpoint molecules in the cancer microenvironment, with later studies applying immune checkpoint blockade (ICB) in treatment of various malignancies. Despite the encouraging efficacy of ICBs in a substantial subset of cancer patients, the treatment response varies. Gene mutations of both tumor cells and immune cells in the tumor microenvironment have recently been identified as potential predictors of the ICB response. Recent developments in gene expression profiling of tumors have allowed identification of a panel of mutated genes that may affect tumor cell response to ICB treatment. In this review, we discuss the association of the ICB response with gene expression and mutation profiles in tumor cells, which it is hoped will help to optimize the clinical application of ICBs in cancer patients.
Insights
Immune checkpoint blockade (ICB) shows promise in cancer treatment, but responses vary. Analyzing gene mutations in tumors and immune cells may predict and optimize patient response to ICB therapy.
Area of Science:
- Oncology
- Immunology
- Genetics
Background:
- Immune checkpoint blockade (ICB) is a cancer therapy targeting immune suppression in the tumor microenvironment.
- While effective for some patients, ICB treatment response is highly variable.
- Tumor and immune cell gene mutations are emerging as key predictors of ICB efficacy.
Purpose of the Study:
- To review the association between gene expression and mutation profiles in tumor cells and ICB response.
- To provide insights for optimizing the clinical use of ICB in cancer patients.
Main Methods:
- Literature review of early and recent studies on immune checkpoint molecules and ICB.
- Analysis of research identifying gene mutations as predictors of ICB response.
- Discussion of gene expression profiling in tumors related to ICB treatment.
Main Results:
- Gene mutations in tumor and immune cells are linked to ICB treatment outcomes.
- Specific gene profiles within tumors may influence a patient's response to ICB.
- Understanding these genetic factors is crucial for predicting treatment success.
Conclusions:
- Gene mutation and expression profiling of tumors can help predict ICB response.
- Optimizing ICB therapy requires considering the genetic landscape of both tumor and immune cells.
- Further research into genetic biomarkers will enhance the clinical application of ICB in oncology.
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