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

Authors :
Paulina Nastały
Elke Eltze
Burkhard Brandt
Marcin Matuszewski
Axel Semjonow
Natalia Bednarz-Knoll
Emanuele Martini
Marek Sowa
Marta Popęda
Magdalena Niemira
Paolo Maiuri
Jolanta Szade
Leszek Kalinowski
Julia Smentoch
Anna J. Żaczek
Nastały, P
Smentoch, J
Popęda, M
Martini, E
Maiuri, P
Żaczek, Aj
Sowa, M
Matuszewski, M
Szade, J
Kalinowski, L
Niemira, M
Brandt, B
Eltze, E
Semjonow, A
Bednarz-Knoll, N.
Source :
Journal of Personalized Medicine, Volume 11, Issue 11, Journal of Personalized Medicine, Vol 11, Iss 1088, p 1088 (2021)
Publication Year :
2021
Publisher :
Multidisciplinary Digital Publishing Institute, 2021.

Abstract

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 (&lt<br />1 TSR) and high (≥1 TSR). In the pilot cohort, 31 patients (43.1%) were categorized as low and 41 (56.9%) as high TSR score, whereas 48 (23.0%) patients from the validation cohort were classified as low TSR and 161 (77.0%) as high. In both cohorts, high TSR appeared to indicate the shorter time to biochemical recurrence in PCa patients (Log-rank test, 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<br />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.

Details

Language :
English
ISSN :
20754426
Database :
OpenAIRE
Journal :
Journal of Personalized Medicine
Accession number :
edsair.doi.dedup.....f0745a85074ad89836091700d4227cdb
Full Text :
https://doi.org/10.3390/jpm11111088