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Distinct Immune Cell Populations Define Response to Anti-PD-1 Monotherapy and Anti-PD-1/Anti-CTLA-4 Combined Therapy

Tuba N Gide1, Camelia Quek1, Alexander M Menzies2

  • 1Melanoma Institute Australia, The University of Sydney, Sydney, NSW 2065, Australia; Sydney Medical School, The University of Sydney, Sydney, NSW 2006, Australia.

Cancer Cell
|February 13, 2019
PubMed

Insights

Identifying specific T cell populations can predict patient response to cancer immunotherapy. An EOMES+ effector memory T cell phenotype is linked to better outcomes in melanoma patients treated with anti-PD-1 and anti-CTLA-4 therapies.

Area of Science:

  • Immunology
  • Oncology
  • Translational Medicine

Background:

  • Cancer immunotherapies like anti-PD-1 and anti-CTLA-4 offer survival benefits but lack efficacy in many melanoma patients.
  • Understanding the biological mechanisms of treatment response and resistance is crucial for optimizing patient selection and improving outcomes.

Purpose of the Study:

  • To identify key immune cell signatures associated with response to anti-PD-1 monotherapy and combined anti-PD-1/anti-CTLA-4 immunotherapy in melanoma.
  • To characterize specific T cell phenotypes that correlate with treatment efficacy and predict patient outcomes.

Main Methods:

  • Transcriptomic and immune profiling of 158 tumor biopsies from melanoma patients undergoing immunotherapy.
  • Mass cytometry analysis to identify and quantify specific T cell populations, including effector memory phenotypes.
  • Correlation analysis of immune cell profiles with clinical outcomes such as progression-free survival and tumor shrinkage.

Main Results:

  • Activated T cell signatures and specific T cell populations were identified in responders to both single-agent and combination immunotherapy.
  • A distinct EOMES+CD69+CD45RO+ effector memory T cell phenotype was significantly more abundant in responders to combination therapy.
  • The gene expression profile of this effector memory T cell population correlated with longer progression-free survival in patients on single-agent therapy and greater tumor shrinkage in both treatment groups.

Conclusions:

  • The EOMES+CD69+CD45RO+ effector memory T cell phenotype represents a potential biomarker for predicting response to combined immunotherapy in melanoma.
  • Immune profiling can reveal distinct cellular mechanisms underlying response to different cancer immunotherapy strategies.
  • These findings highlight the importance of characterizing specific immune cell subsets to guide treatment decisions and improve patient outcomes in melanoma.
Keywords:
EOMESRNA-seqanti-CTLA-4anti-PD-1combination therapyimmune checkpoint inhibitorsimmunotherapymelanomapredictive biomarkersresistance mechanisms

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