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Updated: Mar 22, 2026

Flow Cytometry-Based Isolation and Therapeutic Evaluation of Tumor-Infiltrating Lymphocytes in a Mouse Model of Pancreatic Cancer
Published on: January 17, 2025
Targetless T cells in cancer immunotherapy
Per Thor Straten1, Federico Garrido2
1Department of Hematology, Centre for Cancer Immune Therapy (CCIT), Copenhagen University Hospital, Herlev, Denmark ; Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark.
Predicting cancer immunotherapy success hinges on understanding HLA class I expression. Loss of these molecules on cancer cells can render T cell therapies ineffective, highlighting the need for predictive biomarkers.
Area of Science:
- Immunology
- Oncology
- Molecular Biology
Background:
- Cancer immunotherapies like checkpoint inhibitors and adoptive cell transfer (ACT) aim to enhance T cell-mediated anti-tumor responses.
- While effective in some patients, a significant fraction do not respond, necessitating predictive biomarkers.
- CD8+ T cells target tumor cells presenting antigens via HLA class I molecules, but cancer cells often downregulate or lose HLA class I, leading to immune evasion.
Purpose of the Study:
- To investigate the role of Human Leukocyte Antigen (HLA) class I expression in predicting patient response to T cell-mediated cancer immunotherapy.
- To explore whether characterizing the molecular basis of HLA class I loss can guide the selection of effective immunotherapy strategies.
Main Methods:
- Review of current understanding of T cell-mediated immunotherapy mechanisms.
- Analysis of the impact of HLA class I expression or loss on T cell cytotoxicity.
- Exploration of reversible ('soft') versus structural ('hard') aberrations in HLA class I expression.
Main Results:
- Downregulation or loss of HLA class I on cancer cells is a common mechanism of immune evasion, rendering T cell therapies ineffective.
- Reversible (soft) alterations in HLA class I expression may be amenable to therapeutic modulation, potentially restoring T cell recognition.
- Structural (hard) aberrations in HLA class I lead to permanent loss, preventing T cell lysis and promoting tumor growth.
Conclusions:
- Characterizing HLA class I expression and the underlying molecular mechanisms in cancer cells is crucial for predicting response to T cell-mediated immunotherapy.
- Identifying HLA class I status can aid in selecting appropriate patients and strategies for cancer immunotherapy.
- HLA expression analysis may serve as a vital predictive biomarker for optimizing cancer immunotherapy outcomes.
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