Network Approach for ctDNA Profiling in Breast Cancer
Researchers have developed ALFAssay, a neural-network-based tool that uses shallow whole-genome sequencing to detect circulating tumor DNA (ctDNA) in breast cancer patients. The study demonstrates high sensitivity and specificity, suggesting potential for improved liquid biopsy diagnostics.
Why it matters
Represents a technical advancement in oncology diagnostics that could lead to more accurate and less invasive cancer monitoring.
Michail Ignatiadis , Director, Breast Medical Oncology Clinic and Program at Institut Jules Bordet, shared on LinkedIn :
“I am delighted to share our latest piece on fragmentomics and ctDNA profiling in breast cancer .
We developed ALFAssay , a neural-network approach that estimates ctDNA fraction from cfDNA fragmentation patterns using shallow whole-genome sequencing.
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