Prostate cancer is the second most frequently diagnosed non-skin cancer in men worldwide. Patient outcomes are remarkably heterogeneous and the best existing clinical prognostic tools such as International Society of Urological Pathology Grade Group, pretreatment serum PSA concentration and T-category, do not accurately predict disease outcome for individual patients. Thus, patients newly diagnosed with prostate cancer are often overtreated or undertreated, reducing quality of life and increasing disease-specific mortality. Biomarkers that can improve the risk stratification of these patients are, therefore, urgently needed. The ideal biomarker in this setting will be non-invasive and affordable, enabling longitudinal evaluation of disease status. Prostatic secretions, urine and blood can be sources of biomarker discovery, validation and clinical implementation, and mass spectrometry can be used to detect and quantify proteins in these fluids. Protein biomarkers currently in use for diagnosis, prognosis and relapse-monitoring of localized prostate cancer in fluids remain centred around PSA and its variants, and opportunities exist for clinically validating novel and complimentary candidate protein biomarkers and deploying them into the clinic.
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http://dx.doi.org/10.1038/s41585-021-00500-1 | DOI Listing |
Naunyn Schmiedebergs Arch Pharmacol
January 2025
Department of Biochemistry, Faculty of Pharmacy, Badr University in Cairo (BUC), Badr City, , 11829, Cairo, Egypt.
Globally, the incidence and death rates associated with cancer persist in rising, despite considerable advancements in cancer therapy. Although some malignancies are manageable by a mix of chemotherapy, surgery, radiation, and targeted therapy, most malignant tumors either exhibit poor responsiveness to early identification or endure post-treatment survival. The prognosis for prostate cancer (PCa) is unfavorable since it is a perilous and lethal malignancy.
View Article and Find Full Text PDFAsia Pac J Clin Oncol
January 2025
LifeStrands Genomics Australia, Mount Waverley, Victoria, Australia.
Some patients with metastatic castration-resistant prostate cancer (mCRPC) possess germline or acquired defects in the DNA damage repair (DDR) genes BRCA1 and BRCA2. Tumors with BRCA mutations exhibit sensitivity to poly-ADP ribose polymerase inhibitors (PARPi) such as olaparib and rucaparib. As a result, molecular diagnostic testing to identify patients with BRCA mutations eligible for the PARPi therapy has become an integral component of managing patients with mCRPC.
View Article and Find Full Text PDFCancer Med
January 2025
Department of Urology, Queen Elizabeth University Hospital, Glasgow, UK.
Background: To assess how centralisation of cancer services via robotic surgery influenced positive surgical margin (PSM) occurrence and its associated risk of biochemical recurrence (BCR) in cases of pT2 prostate cancer (PC).
Methods: Retrospective analysis of all radical prostatectomy (RP) cases performed in the West of Scotland during the period from January 2013 to June 2022. Primary outcomes were PSM and BCR.
Genome Med
January 2025
Department of Systems Biology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, 10032, USA.
Background: Despite extensive analysis, the dynamic changes in prostate epithelial cell states during tissue homeostasis as well as tumor initiation and progression have been poorly characterized. However, recent advances in single-cell RNA-sequencing (scRNA-seq) technology have greatly facilitated studies of cell states and plasticity in tissue maintenance and cancer, including in the prostate.
Methods: We have performed meta-analyses of new and previously published scRNA-seq datasets for mouse and human prostate tissues to identify and compare cell populations across datasets in a uniform manner.
BMC Public Health
January 2025
Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Gran Via de Les Corts Catalanes, 587 Àtic, 08007, Barcelona, Spain.
This study examines remaining life expectancy (RLE) after a cancer diagnosis, focusing on age, sex, cancer type, and metabolic syndrome (MS) components, using data from the SIDIAP database in Catalonia (2006-2017). RLE was analyzed for 13 cancer types, stratified by sex and MS components. The cohort study includes 183,364 individuals followed from diagnosis until death, transfer, or study end (December 2017).
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