Alicia-Marie Conway, Simon P Pearce, Alexandra Clipson, Steven M Hill, Francesca Chemi, Dan Slane-Tan, Saba Ferdous, A S Md Mukarram Hossain, Katarzyna Kamieniecka, Daniel J White, Claire Mitchell, Alastair Kerr, Matthew G Krebs, Gerard Brady, Caroline Dive, Natalie Cook, Dominic G Rothwell
Cancers of Unknown Primary (CUP) remains a diagnostic and therapeutic challenge due to biological heterogeneity and poor responses to standard chemotherapy. Predicting tissue-of-origin (TOO) molecularly could help refine this diagnosis, with tissue acquisition barriers mitigated via liquid biopsies. However, TOO liquid biopsies are unexplored in CUP cohorts. Here we describe CUPiD, a machine learning classifier for accurate TOO predictions across 29 tumour classes using circulating cell-free DNA (cfDNA) methylation patterns...
April 17, 2024: Nature Communications