Combination of oncolytic Maraba virus with immune checkpoint blockade overcomes therapy resistance in an immunologically cold model of advanced melanoma with dysfunctional T-cell receptor signalling.

Immune Checkpoint Inhibitor Immunosuppression Immunotherapy Oncolytic virus T cell

Journal

Journal for immunotherapy of cancer
ISSN: 2051-1426
Titre abrégé: J Immunother Cancer
Pays: England
ID NLM: 101620585

Informations de publication

Date de publication:
25 Jul 2024
Historique:
accepted: 13 07 2024
medline: 27 7 2024
pubmed: 27 7 2024
entrez: 26 7 2024
Statut: epublish

Résumé

Over the past decade, cancer immunotherapies have revolutionized the treatment of melanoma; however, responses vary across patient populations. Recently, baseline tumor size has been identified as an independent prognostic factor for overall survival in patients with melanoma receiving immune checkpoint inhibitors. MG1 is a novel oncolytic agent with broad tumor tropism that has recently entered early-phase clinical trials. The aim of this study was to characterize T-cell responses in human and mouse melanoma models following MG1 treatment and to establish if features of the tumor immune microenvironment (TIME) at two distinct tumor burdens would impact the efficacy of oncolytic virotherapy. Human three-dimensional in vitro priming assays were performed to measure antitumor and antiviral T-cell responses following MG1 infection. T-cell receptor (TCR) sequencing, T2 killing assay, and peptide recall assays were used to assess the evolution of the TCR repertoire, and measure specific T-cell responses, respectively. In vivo, subcutaneous 4434 melanomas were characterized using RNA sequencing, immunohistochemistry, and flow cytometry. The effectiveness of intratumoral MG1 was assessed in advancing 4434 tumors and the generation of antitumor and antiviral T cells measured by splenocyte recall assays. Finally, combination MG1 and programmed cell death protein-1 antibody (αPD-1) therapy was investigated in advanced 4434 tumors. MG1 effectively supported priming of functional cytotoxic T cells (CTLs) against tumor-associated antigens as well as virus-derived peptides, as assessed using peptide recall and T2 killing assays, respectively. TCR sequencing revealed that MG1-primed CTL comprised larger clusters of similar CDR3 amino acid sequences compared with controls. In vivo testing of MG1 demonstrated that MG1 monotherapy was highly effective at treating early disease, resulting in 90% cures; however, the efficacy of MG1 reduced as the disease burden (local tumor size) increased, and the addition of αPD-1 was required to overcome resistance in more advanced disease. Differential gene expression profiles revealed that increased tumor burden was associated with an immunologically colder TIME. Furthermore, analysis of TCR signaling in advancing tumors demonstrated a different dynamic of TCR engagement compared with smaller tumors, in particular a shift in antigen recognition by CD4+ cells, from conventional to regulatory subsets. Addition of αPD-1 to MG1 is required to overcome viral therapy resistance in immunologically 'colder' more advanced melanoma, highlighting the importance of tumor burden to different types of immunotherapy.

Sections du résumé

BACKGROUND BACKGROUND
Over the past decade, cancer immunotherapies have revolutionized the treatment of melanoma; however, responses vary across patient populations. Recently, baseline tumor size has been identified as an independent prognostic factor for overall survival in patients with melanoma receiving immune checkpoint inhibitors. MG1 is a novel oncolytic agent with broad tumor tropism that has recently entered early-phase clinical trials. The aim of this study was to characterize T-cell responses in human and mouse melanoma models following MG1 treatment and to establish if features of the tumor immune microenvironment (TIME) at two distinct tumor burdens would impact the efficacy of oncolytic virotherapy.
METHODS METHODS
Human three-dimensional in vitro priming assays were performed to measure antitumor and antiviral T-cell responses following MG1 infection. T-cell receptor (TCR) sequencing, T2 killing assay, and peptide recall assays were used to assess the evolution of the TCR repertoire, and measure specific T-cell responses, respectively. In vivo, subcutaneous 4434 melanomas were characterized using RNA sequencing, immunohistochemistry, and flow cytometry. The effectiveness of intratumoral MG1 was assessed in advancing 4434 tumors and the generation of antitumor and antiviral T cells measured by splenocyte recall assays. Finally, combination MG1 and programmed cell death protein-1 antibody (αPD-1) therapy was investigated in advanced 4434 tumors.
RESULTS RESULTS
MG1 effectively supported priming of functional cytotoxic T cells (CTLs) against tumor-associated antigens as well as virus-derived peptides, as assessed using peptide recall and T2 killing assays, respectively. TCR sequencing revealed that MG1-primed CTL comprised larger clusters of similar CDR3 amino acid sequences compared with controls. In vivo testing of MG1 demonstrated that MG1 monotherapy was highly effective at treating early disease, resulting in 90% cures; however, the efficacy of MG1 reduced as the disease burden (local tumor size) increased, and the addition of αPD-1 was required to overcome resistance in more advanced disease. Differential gene expression profiles revealed that increased tumor burden was associated with an immunologically colder TIME. Furthermore, analysis of TCR signaling in advancing tumors demonstrated a different dynamic of TCR engagement compared with smaller tumors, in particular a shift in antigen recognition by CD4+ cells, from conventional to regulatory subsets.
CONCLUSION CONCLUSIONS
Addition of αPD-1 to MG1 is required to overcome viral therapy resistance in immunologically 'colder' more advanced melanoma, highlighting the importance of tumor burden to different types of immunotherapy.

Identifiants

pubmed: 39060020
pii: jitc-2024-009443
doi: 10.1136/jitc-2024-009443
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Edward Armstrong (E)

Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.

Matthew K L Chiu (MKL)

Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.
Department of Clinical Oncology, University of Hong Kong Faculty of Medicine, Hong Kong, Hong Kong.

Shane Foo (S)

Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.

Lizzie Appleton (L)

Imperial College London, London, London, UK.
The Institute of Cancer Research, London, UK.

Pablo Nenclares (P)

Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.
Head and Neck Unit, Royal Marsden Hospital NHS Trust, London, UK.

Anton Patrikeev (A)

Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.

Nitya Mohan (N)

Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.

Martin Mclaughlin (M)

Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.

Galabina Bozhanova (G)

Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.

Julia Hoebart (J)

Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.

Victoria Roulstone (V)

The Institute of Cancer Research, London, UK.

Emmanuel Patin (E)

The Institute of Cancer Research, London, UK.

Malin Pedersen (M)

Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.

Joan Kyula (J)

The Institute of Cancer Research, London, UK.

Masahiro Ono (M)

Imperial College London, London, London, UK.

Fiona Errington-Mais (F)

Leeds Institute of Medical Research at St. James's, University of Leeds, Leeds, UK.

John Bell (J)

Cancer Therapeutics, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.

Kevin J Harrington (KJ)

Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.

Alan Melcher (A)

Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.

Victoria Jennings (V)

Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK v.a.jennings@leeds.ac.uk.
Leeds Institute of Medical Research, University of Leeds, Leeds, UK.

Classifications MeSH