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Spatial whole transcriptome profiling of primary tumor from patients with metastatic prostate cancer.
Salachan, Paul Vinu; Rasmussen, Martin; Ulhøi, Benedicte Parm; Jensen, Jørgen Bjerggaard; Borre, Michael; Sørensen, Karina Dalsgaard.
Affiliation
  • Salachan PV; Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
  • Rasmussen M; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
  • Ulhøi BP; Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
  • Jensen JB; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
  • Borre M; Department of Pathology, Aarhus University Hospital, Aarhus, Denmark.
  • Sørensen KD; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Int J Cancer ; 153(12): 2055-2067, 2023 12 15.
Article in En | MEDLINE | ID: mdl-37655984
Prostate cancer (PCa) is a highly heterogeneous disease in terms of its molecular makeup and clinical prognosis. The prostate tumor microenvironment (TME) is hypothesized to play an important role in driving disease aggressiveness, but precise mechanisms remain elusive. In our study, we used spatial transcriptomics to explore for the first time the spatial gene expression heterogeneity within primary prostate tumors from patients with metastatic disease. In total, we analyzed 5459 tissue spots from three PCa patients comprising castration-resistant (CRPC) and neuroendocrine (NEPC) disease stages. Within CRPC, we identified a T cell cluster whose activity might be impaired by nearby regulatory T cells, potentially mediating the aggressive disease phenotype. Moreover, we identified Hallmark signatures of epithelial-mesenchymal transition in a cancer-associated fibroblast (CAF) cluster, indicating the aggressive characteristic of the primary TME leading to metastatic dissemination. Within NEPC, we identified active immune-stroma cross-talk exemplified by significant ligand-receptor interactions between CAFs and M2 macrophages. Further, we identified a malignant cell population that was associated with the down-regulation of an immune-related gene signature. Lower expression of this signature was associated with higher levels of genomic instability in advanced PCa patients (SU2C cohort, n = 99) and poor recurrence free survival in early-stage PCa patients (TCGA cohort, n = 395), suggesting prognostic biomarker potential. Taken together, our study reveals the importance of whole transcriptome profiling at spatial resolution for biomarker discovery and for advancing our understanding of tumor biology.
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Full text: 1 Database: MEDLINE Main subject: Prostatic Neoplasms / Prostatic Neoplasms, Castration-Resistant Type of study: Prognostic_studies Limits: Humans / Male Language: En Journal: Int J Cancer Year: 2023 Type: Article Affiliation country: Denmark

Full text: 1 Database: MEDLINE Main subject: Prostatic Neoplasms / Prostatic Neoplasms, Castration-Resistant Type of study: Prognostic_studies Limits: Humans / Male Language: En Journal: Int J Cancer Year: 2023 Type: Article Affiliation country: Denmark