Abstract
Localized prostate cancers are heterogeneous and multifocal, with diverse outcomes. Current prognostic methods are epithelium-centric, overlooking the complex cellular landscape within the tumor microenvironment (TME). To further characterize the heterogeneity of the TME, we performed a comprehensive analysis of cancerous and adjacent-benign cores from 24 patients with hormone therapy-naïve localized prostate cancer using single-cell RNA sequencing (scRNA-seq). Integrating copy-number variation and transcriptional signatures enabled epithelial cell classification across a malignant spectrum, revealing widespread molecular perturbation. The analysis revealed patient-unique and shared luminal states and an expansion of club cell phenotypes, suggesting luminal dedifferentiation. Detailed annotation of stromal phenotypes, with a focus on fibroblasts, identified a perineural fibroblast population. Spatial transcriptomics elucidated the precise anatomic distribution of cancer-associated fibroblasts within the prostate cancer TME. Together, this study provides a valuable foundation for advancing the understanding of prostate cancer pathobiology and developing a comprehensive cellular model of the disease. SIGNIFICANCE: Development of a single-cell RNA-sequencing and spatial transcriptomics cellular reference of localized prostate cancer enables identification of a spectrum of malignant epithelial phenotypes and discovery of a perineural class of fibroblast.
| Original language | English |
|---|---|
| Pages (from-to) | 1836-1853 |
| Number of pages | 18 |
| Journal | Cancer Research |
| Volume | 86 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 15 Apr 2026 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- oncology
- prostate cancer
- single-cell RNA sequencing
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