Durable responses to anti-PD1 and anti-CTLA4 in a preclinical model of melanoma displaying key immunotherapy response biomarkers

Elena Shklovskaya*, Bernadette Pedersen, Ashleigh Stewart, Jack O. G. Simpson, Zizhen Ming, Mal Irvine, Richard A. Scolyer, Georgina V. Long, Helen Rizos

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Immunotherapy has transformed the management of patients with advanced melanoma, with five-year overall survival rates reaching 52% for combination immunotherapies blocking the cytotoxic T-lymphocyte-associated antigen-4 (CTLA4) and programmed cell death-1 (PD1) immune axes. Yet, our understanding of local and systemic determinants of immunotherapy response and resistance is restrained by the paucity of preclinical models, particularly those for anti-PD1 monotherapy. We have therefore generated a novel murine model of melanoma by integrating key immunotherapy response biomarkers into the model development workflow. The resulting YUMM3.3UVRc34 (BrafV600E; Cdkn2a–/–) model demonstrated high mutation burden and response to interferon (IFN)γ, including induced expression of antigen-presenting molecule MHC-I and the principal PD1 ligand PD-L1, consistent with phenotypes of human melanoma biopsies from patients subsequently responding to anti-PD1 monotherapy. Syngeneic immunosufficient mice bearing YUMM3.3UVRc34 tumors demonstrated durable responses to anti-PD1, anti-CTLA4, or combined treatment. Immunotherapy responses were associated with early on-treatment changes in the tumor microenvironment and circulating T-cell subsets, and systemic immunological memory underlying protection from tumor recurrence. Local and systemic immunological landscapes associated with immunotherapy response in the YUMM3.3UVRc34 melanoma model recapitulate immunotherapy responses observed in melanoma patients and identify discrete immunological mechanisms underlying the durability of responses to anti-PD1 and anti-CTLA4 treatments.

Original languageEnglish
Article number4830
Pages (from-to)1-18
Number of pages18
JournalCancers
Volume14
Issue number19
DOIs
Publication statusPublished - 3 Oct 2022

Keywords

  • antigen presentation
  • immune checkpoint blockade
  • immunological memory
  • interferon
  • major histocompatibility (MHC) class I
  • melanoma
  • mouse models
  • T lymphocytes

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