Singapore, Aug. 4 -- A Singapore team of clinician-scientists and researchers has developed a new tool that accurately predicts which liver cancer patients are likely to experience a recurrence after surgery. The machine-learning tool combines genetic and clinical information and was found to outperform the commonly used TNM staging system, which is based on tumour burden, across independent patient groups.

Researchers from the National Cancer Centre Singapore (NCCS), Duke-NUS Medical School (Duke-NUS) and the A*STAR Genome Institute of Singapore (A*STAR GIS) also uncovered two biologically distinct ways in which hepatocellular carcinoma (HCC), the most common form of primary liver cancer, can recur. The findings could help doctors tailo...