Journal of Personalized Medicine (Oct 2021)

Low Tumor-to-Stroma Ratio Reflects Protective Role of Stroma against Prostate Cancer Progression

  • Paulina Nastały,
  • Julia Smentoch,
  • Marta Popęda,
  • Emanuele Martini,
  • Paolo Maiuri,
  • Anna J. Żaczek,
  • Marek Sowa,
  • Marcin Matuszewski,
  • Jolanta Szade,
  • Leszek Kalinowski,
  • Magdalena Niemira,
  • Burkhard Brandt,
  • Elke Eltze,
  • Axel Semjonow,
  • Natalia Bednarz-Knoll

DOI
https://doi.org/10.3390/jpm11111088
Journal volume & issue
Vol. 11, no. 11
p. 1088

Abstract

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Tumor-to-stroma ratio (TSR) is a prognostic factor that expresses the relative amounts of tumor and intratumoral stroma. In this study, its clinical and molecular relevance was evaluated in prostate cancer (PCa). The feasibility of automated quantification was tested in digital scans of tissue microarrays containing 128 primary tumors from 72 PCa patients stained immunohistochemically for epithelial cell adhesion molecule (EpCAM), followed by validation in a cohort of 310 primary tumors from 209 PCa patients. In order to investigate the gene expression differences between tumors with low and high TSR, we applied multigene expression analysis (nCounter® PanCancer Progression Panel, NanoString) of 42 tissue samples. TSR scores were categorized into low (p = 0.04 and p = 0.01 for the pilot and validation cohort, respectively). Additionally, in the multivariate analysis of the validation cohort, TSR predicted BR independent of other factors, i.e., pT, pN, and age (p = 0.04, HR 2.75, 95%CI 1.07–7.03). Our data revealed that tumors categorized into low and high TSR score show differential expression of various genes; the genes upregulated in tumors with low TSR score were mostly associated with extracellular matrix and cell adhesion regulation. Taken together, this study shows that high stroma content can play a protective role in PCa. Automatic EpCAM-based quantification of TSR might improve prognostication in personalized medicine for PCa.

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