Eleonora Ghisoni, Matteo Morotti, Apostolos Sarivalasis, Alizée J. Grimm, Lana Kandalaft, Denarda Dangaj Laniti, George Coukos
{"title":"Immunotherapy for ovarian cancer: towards a tailored immunophenotype-based approach","authors":"Eleonora Ghisoni, Matteo Morotti, Apostolos Sarivalasis, Alizée J. Grimm, Lana Kandalaft, Denarda Dangaj Laniti, George Coukos","doi":"10.1038/s41571-024-00937-4","DOIUrl":null,"url":null,"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. Although ovarian cancer is considered an immunoreactive disease, moderate to no efficacy has been shown in the trials testing immune-checkpoint inhibitors in these patients performed thus far. The authors of this Review summarize these results and propose a systematic classification of ovarian cancer based on CD8+ T cell immunophenotypes that, integrated with genetic data, can enable the design of tailored therapeutic approaches, including adoptive cell therapy and novel immunotherapy combinations.","PeriodicalId":19079,"journal":{"name":"Nature Reviews Clinical Oncology","volume":"21 11","pages":"801-817"},"PeriodicalIF":81.1000,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Reviews Clinical Oncology","FirstCategoryId":"3","ListUrlMain":"https://www.nature.com/articles/s41571-024-00937-4","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
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. Although ovarian cancer is considered an immunoreactive disease, moderate to no efficacy has been shown in the trials testing immune-checkpoint inhibitors in these patients performed thus far. The authors of this Review summarize these results and propose a systematic classification of ovarian cancer based on CD8+ T cell immunophenotypes that, integrated with genetic data, can enable the design of tailored therapeutic approaches, including adoptive cell therapy and novel immunotherapy combinations.
期刊介绍:
Nature Reviews publishes clinical content authored by internationally renowned clinical academics and researchers, catering to readers in the medical sciences at postgraduate levels and beyond. Although targeted at practicing doctors, researchers, and academics within specific specialties, the aim is to ensure accessibility for readers across various medical disciplines. The journal features in-depth Reviews offering authoritative and current information, contextualizing topics within the history and development of a field. Perspectives, News & Views articles, and the Research Highlights section provide topical discussions, opinions, and filtered primary research from diverse medical journals.