AI-powered liquid biopsy can classify pediatric brain tumors with 92% accuracy

St. Jude Children's Research Hospital scientists, in collaboration with scientists at the Hopp Children's Cancer Center Heidelberg (KiTZ), German Cancer Research Center (DKFZ) and other international centers, created Methylation-based Predictive Algorithm for CNS Tumors (M-PACT). M-PACT uses AI to sift through ctDNA in cerebrospinal fluid and molecularly classify tumors based on their DNA methylation pattern.

In a compelling demonstration of functionality, M-PACT successfully identified 92% of brain tumors in a benchmarking test; it can also differentiate relapse from secondary tumors and can track if a cancer is getting more aggressive or responding to treatment with no extra input. Beyond brain tumors, M-PACT has the potential to be broadly applicable to many cancer types.

“This is a next-generation assay and computational framework that we’ve optimized and applied across a range of pediatric brain tumor patients,” said corresponding author Paul Northcott, Ph.D., Center of Excellence in Neuro-Oncology Sciences (CENOS) director and Department of Developmental Neurobiology member. “M-PACT is about taking liquid biopsy to another level in pediatric neuro-oncology and applying the technology across many different clinical scenarios.”

Sign up for Blog Updates