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Prostate cancer, a leading cause of cancer-related deaths worldwide, principally occurs in over 50-year-old men. Nowadays there is urgency to discover biomarkers alternative to prostate-specific antigen, as it cannot discriminate patients with benign prostatic hyperplasia from clinically significant forms of prostatic cancer. In the present paper, 32 benign prostatic hyperplasia and 41 prostatic cancer urine samples were collected and analyzed. Polar and positively charged metabolites were therein investigated using an analytical platform comprising an up to 40-fold analyte enrichment step by graphitized carbon black solid-phase extraction, HILIC separation, and untargeted high-resolution mass spectrometry analysis. These classes of compounds are often neglected in common metabolomics experiments even though previous studies reported their significance in cancer biomarker discovery. The complex metabolomics big datasets, generated by the UHPLC-HRMS, were analyzed with the ROIMCR procedure, based on the selection of the MS regions of interest data and their analysis by the Multivariate Curve-Resolution Alternating Least Squares chemometrics method. This approach allowed the resolution and tentative identification of the metabolites differentially expressed by the two data sets. Among these, amino acids and carnitine derivatives were tentatively identified highlighting the importance of the proposed methodology for cancer biomarker research.
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http://dx.doi.org/10.1016/j.aca.2021.338381 | DOI Listing |
Ann Surg Oncol
September 2025
Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montreal, QC, Canada.
Urol Oncol
September 2025
Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada.
Objective: To examine differences in cancer-specific mortality (CSM) in nonmetastatic upper tract urothelial carcinoma (UTUC) patients with vs. without secondary bladder cancer (BCa) after radical nephroureterectomy (RNU).
Methods: Within the Surveillance, Epidemiology, and End Results database (SEER 2000-2021), T1-T4N0M0 UTUC patients treated with RNU and diagnosed with secondary BCa were identified.
Eur Urol Oncol
September 2025
The James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address:
Background And Objective: The effect of family history (FH) on prostate cancer active surveillance outcomes is unknown. Our objective is to evaluate FH of prostate, breast, ovarian, and/or pancreatic cancer in a large prospective active surveillance cohort.
Methods: Patients with recorded FH data (N = 1421) were selected.
Int J Radiat Oncol Biol Phys
October 2025
Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom.
Int J Radiat Oncol Biol Phys
October 2025
Division of Radiation oncology, Department of Oncology, Jewish General Hospital, McGill University, Montreal, Quebec, Canada. Electronic address: