Whole-slide multiplexed tissue imaging of prostate adenocarcinoma to investigate immune niches in high- versus low-grade tumors.
224 Background: The tumor-immune microenvironment (TME) is crucial in the progression of prostate cancer (PCa), yet little is known about its spatial organization and immune composition in treatment-naïve, localized PCa. While immunotherapy has had limited success in metastatic PCa, its efficacy in localized disease remains largely unknown. This study aims to dissect tumor-immune interactions in primary PCa and explore differences in immune landscape between low- and high-Gleason PCa, thus providing biologic insights for immunotherapy actionability. Methods: We performed spatial profiling of radical prostatectomy (RP) specimens from 28 treatment-naïve prostate cancer patients. These included 14 patients with low-grade disease (Gleason Grade Group 1–2) and 14 patients with high-grade disease (Gleason Grade Group 4–5). Using multiplex cyclic immunofluorescence (CyCIF) and a 27-marker panel, we obtained single-cell resolution across whole-slide images. Tumor and stromal compartments were manually annotated, and immune cell densities and neighborhood were analyzed and compared between low- and high-grade tumors. Spatial analysis focused on identifying immune clusters (IC -suggestive of tertiary lymphoid structures -TLS) and quantified the degree of immune infiltration along with characterization of T cell exhaustion markers such as CD8+PD1+TCF1+ cells. Results: High-grade tumors exhibited significantly higher infiltration of CD8+ T cells and CD20+ B cells compared to low-grade tumors. Spatial profiling revealed organized ICs, especially in high-grade tumors, which exhibited characteristics consistent with TLS. These ICs were enriched with precursor-exhausted CD8+PD1+TCF1+ T cells (TPEX), suggesting a state of immune exhaustion that may be therapeutically reactivatable. The presence of TLS and immune exhaustion markers in high-grade tumors highlights a more active immune microenvironment than previously appreciated in primary prostate cancer. Conclusions: Our findings reveal that a subset of high-grade prostate cancers harbor an organized, immune-infiltrated tumor microenvironment, including adaptive immune features such as TLS and CD8+ T cell exhaustion. These immune landscapes, marked by significant CD8+ and CD20+ cell infiltration and spatial clustering, suggest that high-grade prostate tumors may be amenable to immune-based therapies, despite the failure of immune checkpoint blockade in metastatic PCa. These results raise the hypothesis that immunotherapy might be effective in treatment-naïve high-grade prostate cancer. Future efforts should explore whether these immune profiles can be leveraged for risk stratification or as biomarkers for response to immunotherapy in advanced disease.
Authors
- Andréanne Gagné (ORCID: https://orcid.org/0000-0002-3833-4159)
- Ali Amiryousefi (ORCID: https://orcid.org/0000-0002-6317-3860)
- Jeremiah A. Wala (ORCID: https://orcid.org/0000-0001-6591-1620)
- Eliezer M. Van Allen (ORCID: https://orcid.org/0000-0002-0201-4444)
- Aishwarya Atmakuri (ORCID: https://orcid.org/0000-0002-1648-3890)
- Eamon Toye (ORCID: https://orcid.org/0009-0003-6546-9387)
- Jia‐Ren Lin (ORCID: https://orcid.org/0000-0003-4702-7705)
- Peter Karl Sorger (ORCID: https://orcid.org/0000-0002-3364-1838)
- Akash Patnaik (ORCID: https://orcid.org/0000-0001-5306-0208)
- Kiranj Chaudagar (ORCID: https://orcid.org/0000-0002-8113-8516)
- Brian Labadie (ORCID: https://orcid.org/0000-0002-3648-4663)
Institutions
- University of Minnesota (US)
- Harvard University (US)
- Columbia University Irving Medical Center (US)
- Montreal Heart Institute (CA)
- Harvard University Press (US)
- University of Chicago (US)
- Dana-Farber Cancer Institute (US)
Publication Details
- Journal
- Journal of Clinical Oncology
- Published
- 2025-02-10
- DOI
- https://doi.org/10.1200/jco.2025.43.5_suppl.224
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health