Ontology highlight
ABSTRACT:
SUBMITTER: Muazzam A
PROVIDER: S-EPMC9954127 | biostudies-literature | 2023 Feb
REPOSITORIES: biostudies-literature
Muazzam Ammara A Spick Matt M Cexus Olivier N F ONF Geary Bethany B Azhar Fowz F Pandha Hardev H Michael Agnieszka A Reed Rachel R Lennon Sarah S Gethings Lee A LA Plumb Robert S RS Whetton Anthony D AD Geifman Nophar N Townsend Paul A PA
Cancers 20230207 4
Prostate cancer is the most common malignant tumour in men. Improved testing for diagnosis, risk prediction, and response to treatment would improve care. Here, we identified a proteomic signature of prostate cancer in peripheral blood using data-independent acquisition mass spectrometry combined with machine learning. A highly predictive signature was derived, which was associated with relevant pathways, including the coagulation, complement, and clotting cascades, as well as plasma lipoprotein ...[more]