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.

PubMed

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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