Validation of integrated 31-GEP (i31-GEP) neural network algorithm incorporating clinicopathologic factors with the continuous 31-GEP score for personalized SLNB positivity risk assessment.

Gene expression profile (GEP) testing is now commercially available for metastatic risk prediction in patients with cutaneous squamous cell carcinoma (CSCC) and one or more high-risk factors.

To determine how results from a prognostic 40-gene expression profiling (40-GEP) test would impact clinician management decisions and how their choices would align with a National Comprehensive Cancer Network (NCCN) compliant, risk-directed management plan for high-risk cutaneous squamous cell carcinoma (cSCC).

To integrate gene expression profiling into the management of high-risk cutaneous squamous cell carcinoma (cSCC) within the National Comprehensive Cancer Network (NCCN) guidelines to improve risk-aligned management recommendations.

Patients managed in accordance with a benign 23-GEP result, including forgoing re-excision, reported no adverse events during the follow-up period

Prospective analysis reporting long-term outcomes for patients tested with DecisionDx-Melanoma (follow-up to study first published as Hsueh, 2017).

GEP class was predictive of RFS and DMFS and independently predicted relapse in AJCC “low risk” (stages IA-IIA) patients

Survey to assess the professional understanding, opinions, and clinical usage of the 31-GEP test by dermatologists.

Examined the prognostic value of the 31-gene expression profile (31-GEP) test for the risk of recurrence in stage I CM patients according to 31-GEP class.

Expert panel of 5 leading dermatologists with 31-GEP experience convened to review literature and create a shared decision-making model/algorithm.

Define changes in clinical management resulting from the use of the prognostic 31-gene expression profile (31-GEP) test for cutaneous melanoma in a surgical oncology practice.

Retrospective review and early experience in utilizing 31-GEP in intermediate melanomas and its effect on clinical management.