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Low Tumor-to-Stroma Ratio Reflects Protective Role of Stroma against Prostate Cancer Progression
- 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.
- Subjects :
- Biochemical recurrence
Oncology
medicine.medical_specialty
Medicine (miscellaneous)
tumor progression
Article
Extracellular matrix
chemistry.chemical_compound
Prostate cancer
Stroma
Internal medicine
medicine
biochemical recurrence
Tissue microarray
business.industry
fungi
Epithelial cell adhesion molecule
medicine.disease
prostate cancer
chemistry
tumor-to-stroma ratio
Tumor progression
Cohort
Medicine
business
digital pathology
Subjects
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