Evolution of myeloid-mediated immunotherapy resistance in prostate cancer
Patients with advanced metastatic castration-resistant prostate cancer (mCRPC) are refractory to immune checkpoint inhibitors (ICIs)<sup>1,2</sup>, partly because there are immunosuppressive myeloid cells in tumours<sup>3,4</sup>. However, the heterogeneity of myeloid cells has made them difficult to target, making blockade of the colony stimulating factor-1 receptor (CSF1R) clinically ineffective. Here we use single-cell profiling on patient biopsies across the disease continuum and find that a distinct population of tumour-associated macrophages with elevated levels of SPP1 transcripts (SPP1<sup>hi</sup>-TAMs) becomes enriched with the progression of prostate cancer to mCRPC. In syngeneic mouse modelling, an analogous macrophage population suppresses CD8<sup>+</sup> T cell activity in vitro and promotes ICI resistance in vivo. Furthermore, Spp1<sup>hi</sup>-TAMs are not responsive to anti-CSF1R antibody treatment. Pathway analysis identifies adenosine signalling as a potential mechanism for SPP1<sup>hi</sup>-TAM-mediated immunotherapeutic resistance. Indeed, pharmacological inhibition of adenosine A2A receptors (A2ARs) significantly reverses Spp1<sup>hi</sup>-TAM-mediated immunosuppression in CD8<sup>+</sup> T cells in vitro and enhances CRPC responsiveness to programmed cell death protein 1 (PD-1) blockade in vivo. Consistent with preclinical results, inhibition of A2ARs using ciforadenant in combination with programmed death 1 ligand 1 (PD-L1) blockade using atezolizumab induces clinical responses in patients with mCRPC. Moreover, inhibiting A2ARs results in a significant decrease in SPP1<sup>hi</sup>-TAM abundance in CRPC, indicating that this pathway is involved in both induction and downstream immunosuppression. Collectively, these findings establish SPP1<sup>hi</sup>-TAMs as key mediators of ICI resistance in mCRPC through adenosine signalling, emphasizing their importance as both a therapeutic target and a potential biomarker for predicting treatment efficacy.
Authors
- Vibha Gurunathan
- Diamond Luong (ORCID: https://orcid.org/0000-0001-6832-5408)
- Rachel Wolters
- Aram Lyu (ORCID: https://orcid.org/0000-0003-3044-4887)
- Alec Starzinski (ORCID: https://orcid.org/0000-0001-5266-9660)
- Eliezer M. Van Allen (ORCID: https://orcid.org/0000-0002-0201-4444)
- Xiao X. Wei (ORCID: https://orcid.org/0000-0001-7093-0383)
- Marcel Arias-Badia (ORCID: https://orcid.org/0000-0003-2270-0676)
- Matthew Clark (ORCID: https://orcid.org/0000-0003-0355-2516)
- Kate Allaire
- Lawrence H. Fong (ORCID: https://orcid.org/0000-0002-6428-428X)
- Kaichun Wu (ORCID: https://orcid.org/0000-0002-0699-9666)
- Laura Valderrábano
- Richard A. Miller (ORCID: https://orcid.org/0000-0002-5696-2503)
- Zenghua Fan
- Averey Lea
- Ali Setayesh
Institutions
- Broad Institute (US)
- Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa (ZA)
- University of California, San Francisco (US)
- Fred Hutch Cancer Center (US)
- Parker Institute for Cancer Immunotherapy (US)
- Dana-Farber Cancer Institute (US)
- Silvus Technologies (United States) (US)
- UCSF Helen Diller Family Comprehensive Cancer Center (US)
Publication Details
- Journal
- Nature
- Published
- 2024-12-04
- DOI
- https://doi.org/10.1038/s41586-024-08290-3
- Citations
- 107
- Primary Topic
- Cancer Immunotherapy and Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 30.23