Castle’s DecisionDx-Melanoma data support SLNB avoidance and targeted surveillance
Sep 30, 2026, 5:32 PM EDT1 sourcesAI-analyzed
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Positive, clinically validated data improves test utility, may reduce invasive procedures, and can expand payer coverage and physician adoption, driving near-term revenue potential for CSTL.
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Castle Biosciences presents compelling EADV data for DecisionDx-Melanoma, showing low i31-SLNB risk with 4.4% SLN positivity and 99.6% 5-year RFS when SLNB is forgone in eligible patients. Transection analyses reinforce biology-driven risk, with 93.2% vs 64.1% 5-year RFS across classes, and high-risk results in early-stage disease approaching IIB risk, suggesting intensified follow-up. These findings could expand test adoption, reduce unnecessary procedures, and shape surveillance strategies, potentially improving outcomes and payer acceptance.
Early-stage Class 2B RFS ~IIB; warrants closer surveillance and possible imaging.
Largest prospective, multicenter 2,799-patient GEP melanoma study across 29 U.S. centers.
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