Purpose: Prostate-specific antigen screening has led to enormous overtreatment of prostate cancer because of the inability to distinguish potentially lethal disease at diagnosis. We reasoned that by identifying an mRNA signature of Gleason grade, the best predictor of prognosis, we could improve prediction of lethal disease among men with moderate Gleason 7 tumors, the most common grade, and the most indeterminate in terms of prognosis.
Patients And Methods: Using the complementary DNA-mediated annealing, selection, extension, and ligation assay, we measured the mRNA expression of 6,100 genes in prostate tumor tissue in the Swedish Watchful Waiting cohort (n = 358) and Physicians' Health Study (PHS; n = 109). We developed an mRNA signature of Gleason grade comparing individuals with Gleason ≤ 6 to those with Gleason ≥ 8 tumors and applied the model among patients with Gleason 7 to discriminate lethal cases.
Results: We built a 157-gene signature using the Swedish data that predicted Gleason with low misclassification (area under the curve [AUC] = 0.91); when this signature was tested in the PHS, the discriminatory ability remained high (AUC = 0.94). In men with Gleason 7 tumors, who were excluded from the model building, the signature significantly improved the prediction of lethal disease beyond knowing whether the Gleason score was 4 + 3 or 3 + 4 (P = .006).
Conclusion: Our expression signature and the genes identified may improve our understanding of the de-differentiation process of prostate tumors. Additionally, the signature may have clinical applications among men with Gleason 7, by further estimating their risk of lethal prostate cancer and thereby guiding therapy decisions to improve outcomes and reduce overtreatment.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3107753 | PMC |
http://dx.doi.org/10.1200/JCO.2010.32.6421 | DOI Listing |
Background: The Prostatype score (P-score) is a prognostic biomarker that integrates a three-gene (IGFBP3, F3, and VGLL3) signature derived from prostate biopsy samples, with key clinical parameters, including prostate-specific antigen (PSA) levels, Gleason grade, and tumor stage at diagnosis. The test has demonstrated superior predictive accuracy for prostate cancer outcomes compared with traditional risk categorization systems such as D'Amico. Notably, it reclassifies a higher proportion of patients into the low-risk category, making them eligible for active surveillance.
View Article and Find Full Text PDFEur Urol Focus
November 2024
Department of Urology, Michigan Medicine, Ann Arbor, MI, USA; University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA; Michigan Center for Translational Pathology, Michigan Medicine, Ann Arbor, MI, USA. Electronic address:
Background And Objective: Prostate cancer (PC) in the transition zone (TZ) has better prognosis than peripheral-zone (PZ) PC despite higher prostate-specific antigen (PSA) in patients with TZ tumors. Our aim was to characterize molecular differences between TZ and PZ tumors and their clinical implications.
Methods: We performed spatial whole-transcriptome analyses of 50 regions of interest (ROIs) from three patients with PZ and/or TZ PC.
Eur Urol Open Sci
December 2024
Translational Genomics and Targeted Therapeutics in Solid Tumours Lab, Fundació de Recerca Clínic Barcelona-Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain.
Unlabelled: Alterations in the tumor suppressor genes (TSGs) , , and are associated with treatment resistance, worse survival, and aggressive variants of prostate cancer (AVPC). We previously developed and validated a signature reflecting low TSG expression (TSG) that was associated with poor outcomes in patients with metastatic hormone-sensitive prostate cancer (mHSPC) treated with androgen deprivation therapy (ADT) ± docetaxel. The aim of this multicenter retrospective study was to validate the TSG signature in patients with mHSPC treated with ADT and an androgen receptor pathway inhibitor (ARPI) and to explore clinical characteristics at progression according to TSG status.
View Article and Find Full Text PDFSci Rep
October 2024
School of Physics, Engineering and Technology, University of York, Heslington, York, YO10 5DD, UK.
Quantitative Raman spectroscopy provides information-rich imaging of complex tissues. To illustrate its ability to characterise early-stage disease, we compared live P4E6, a low-grade Gleason-3 prostate-cancer cell line, to PNT2-C2, a normal prostate cell-line equivalent, thereby elucidating key molecular and mechanistic differences. Spectral changes from statistically relevant population sampling show P4E6 is defined by reduced DNA/RNA signatures (primarily base-pair modifications), increased protein-related signatures (synthesis), decreased whole-cell measured saturated and unsaturated fatty acids, and increased cholesterol and cholesterol ester (lipid storage).
View Article and Find Full Text PDFSci Rep
October 2024
Computational and Experimental Biology Group, iNOVA4Health, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Lisboa, Portugal.
Prognostic tests and treatment approaches for optimized clinical care of prostatic neoplasms are an unmet need. Prostate cancer (PCa) and derived extracellular vesicles (EVs) proteome changes occur during initiation and progression of the disease. PCa tissue proteome has been previously characterized, but screening of tissue samples constitutes an invasive procedure.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!