SAN DIEGO – Researchers from Kindai University in Japan have developed a machine learning model that accurately predicts the origin of diverse cancer types in patients with cancers of unknown primary (CUP) by analyzing CpG-based DNA methylation. Results showed that the model correctly identified the cancer type in about 95% of cases in the test cohort, and achieved 87% accuracy when applied to an independent validation cohort from 31 cases representing 17 different cancer types. The work was presented at the American Association for Cancer Research (AACR) Annual Meeting.
“Our findings suggest that DNA-based approaches can help identify where a cancer may have started, even when the original tumor is not visible,” said Marco A. De Velasco, PhD, a faculty member in the department of genome biology at Kindai University in Japan.
CUP are metastatic malignancies in which the…
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