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Updated: Jun 14, 2025

Author Spotlight: Advancing Personalized Medicine in Ovarian Cancer
Published on: February 23, 2024
Immunotherapy for ovarian cancer: towards a tailored immunophenotype-based approach
Eleonora Ghisoni1,2,3, Matteo Morotti1,2,3, Apostolos Sarivalasis1
1Department of Oncology, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
Abstract:
Despite documented evidence that ovarian cancer cells express immune-checkpoint molecules, such as PD-1 and PD-L1, and of a positive correlation between the presence of tumour-infiltrating lymphocytes and favourable overall survival outcomes in patients with this tumour type, the results of trials testing immune-checkpoint inhibitors (ICIs) in these patients thus far have been disappointing. The lack of response to ICIs can be attributed to tumour heterogeneity as well as inherent or acquired resistance associated with the tumour microenvironment (TME). Understanding tumour immunobiology, discovering biomarkers for patient selection and establishing optimal treatment combinations remains the hope but also a key challenge for the future application of immunotherapy in ovarian cancer. In this Review, we summarize results from trials testing ICIs in patients with ovarian cancer. We propose the implementation of a systematic CD8+ T cell-based immunophenotypic classification of this malignancy, followed by discussions of the preclinical data providing the basis to treat such immunophenotypes with combination immunotherapies. We posit that the integration of an accurate TME immunophenotype characterization with genetic data can enable the design of tailored therapeutic approaches and improve patient recruitment in clinical trials. Lastly, we propose a roadmap incorporating tissue-based profiling to guide future trials testing adoptive cell therapy approaches and assess novel immunotherapy combinations while promoting collaborative research.
Insights
Immunotherapy with immune-checkpoint inhibitors (ICIs) has shown limited success in ovarian cancer due to tumor resistance. Future strategies involve classifying tumors by CD8+ T cells and combining immunotherapies for better outcomes.
Area of Science:
- Immunology
- Oncology
- Cancer Research
Background:
- Ovarian cancer cells express immune-checkpoint molecules like PD-1 and PD-L1.
- Tumor-infiltrating lymphocytes correlate with better survival in ovarian cancer.
- Current immune-checkpoint inhibitor (ICI) trials in ovarian cancer have yielded disappointing results.
Purpose of the Study:
- To review ICI trial outcomes in ovarian cancer.
- To propose a CD8+ T cell-based immunophenotypic classification for ovarian cancer.
- To outline strategies for improving immunotherapy efficacy in ovarian cancer.
Main Methods:
- Review of clinical trial data for ICIs in ovarian cancer.
- Analysis of tumor immunobiology and resistance mechanisms.
- Proposal for immunophenotypic classification and combination therapy strategies.
Main Results:
- Lack of response to ICIs is linked to tumor heterogeneity and the tumor microenvironment (TME).
- Preclinical data supports combination immunotherapies for specific ovarian cancer immunophenotypes.
- Integration of TME immunophenotype and genetic data can guide tailored treatments.
Conclusions:
- Effective ovarian cancer immunotherapy requires understanding tumor immunobiology and overcoming resistance.
- A systematic CD8+ T cell-based classification and combination therapies are crucial for future success.
- Tissue-based profiling and collaborative research are essential for advancing ovarian cancer immunotherapy and adoptive cell therapies.
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