AI Article Synopsis

  • Ovarian cancer cells have immune-checkpoint molecules like PD-1 and PD-L1, but treatments using immune-checkpoint inhibitors (ICIs) haven't worked well so far.
  • The reasons for this include the tumors being different from one another and them fighting back against the treatment because of their surroundings.
  • Researchers want to better understand how tumors work, find better ways to pick patients for treatment, and create more effective treatment combinations to help improve outcomes for ovarian cancer patients.

Article 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.

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Source
http://dx.doi.org/10.1038/s41571-024-00937-4DOI Listing

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