FRIENDSWOOD, Texas--(BUSINESS WIRE)-- Castle Biosciences, Inc. (Nasdaq: CSTL), a company improving health through innovative tests that guide patient care, will present new data on its gene expression profile (GEP) risk-stratification test for patients with cutaneous squamous cell carcinoma (SCC), DecisionDx®-SCC, and its GEP risk-stratification test for patients with cutaneous melanoma (CM), DecisionDx®-Melanoma, at the American Head & Neck Society’s (AHNS) 11th International Conference on Head and Neck Cancer, being held July 8-12 in Montréal, QC, Canada.
Castle’s podium presentation on DecisionDx-SCC will share data demonstrating significantly improved metastatic risk prediction in patients with SCC of the head and neck (SCC-HN) when the test’s results are used both independently and in conjunction with American Joint Committee on Cancer 8th edition (AJCC8) and Brigham and Women's Hospital (BWH) staging systems. Details are as follows:
Abstract ID: 128656 | Podium presentation: Improved metastatic risk prediction with the 40-gene expression profile (40-GEP) test supports its use for risk-aligned decision making for patients with high-risk cutaneous squamous cell carcinoma of the head and neck Presenter and Study Author: Jason G. Newman, M.D., F.A.C.S., Department of Otolaryngology Head and Neck Surgery at Medical University of South Carolina Session Date/Time: Sunday, July 9, 1:45-3:15 p.m. Eastern time Session Name: Proffered Papers 9 - Skin 1 and Hot Topic Session
“Traditional staging methods rely on a limited set of clinicopathologic risk factors to categorize cancer patients into different stages,” said Newman. “While these factors provide important information, they may not fully capture the underlying biological heterogeneity and variability in tumor behavior. The study data demonstrated that using DecisionDx-SCC test results in combination with these traditional staging approaches can improve prognostic accuracy to help optimize and personalize treatment choices based on a patient's unique, biological risk profile.”
This multi-center study expands on a previously published study1 and analyzed data from 622 patients with high-risk SCC-HN. In the study, DecisionDx-SCC significantly stratified patients according to their biologic risk of metastasis, independent of the clinicopathologic risk factors used in AJCC8 and BWH staging systems (p