There have been three oncology drug approvals by the U.S. FDA over the last few years that were based solely on a genetic biomarker, rather than the location in the body where the tumor originated. But to make this tissue-agnostic approach a reality for oncology patients, detecting those genetic biomarkers will have to become increasingly easy and standardized.
The U.S. FDA has granted breakthrough device designation to Laboratory for Advanced Medicine Inc. (LAM) for its liquid biopsy blood test for the detection of liver cancer. The test, which analyzes the DNA methylation pattern of cell-free DNA (cfDNA), is designed to detect the presence of hepatocellular cancer as early as stage 1, with both high specificity and sensitivity.
Deep learning algorithms developed at the Memorial Sloan Kettering Cancer Center (MSK) were able to distinguish prostate, skin and breast cancer with nearly perfect accuracy in a recent clinical trial. The technology has already been licensed exclusively by New York-based startup Paige.AI, which snapped up a $25 million series A early last year to continue to advance it.