Independent study of the predictive accuracy of the GEP test, to determine what clinical and histopathologic features predict high-risk classification, and to evaluate how intermediate classes (1B & 2A) performed clinically. Patients with GEP Class 2 result were 22 times more likely to metastasize compared to a Class 1 result.

Survey to determine the impact of 31-GEP test results on management decisions made by dermatology PA/NPs for cutaneous melanoma patients.

Use of TissueCypher resulted in clinical “upstaging” occurred in 5 of 46 cases, leading to treatment that otherwise might not be pursued.

Survey and clinical vingettes to determine the impact of three factors - Breslow thickness, ulceration, and sentinel lymph node biopsy status - on the decision to order the 31-GEP test.

Initital data from a prospective study assessing the impacy of 31-GEP testing results on clinical management decisions including changes in imaging, laboratory work, and frequency of office visits.

Study was designed to assess the analytical validity of the 31-GEP test.

Cutaneous squamous cell carcinoma (cSCC) is the second most common form of human cancer and has an increasing annual incidence. Although most cSCC is cured with office-based therapy, advanced cSCC poses a significant risk for morbidity, impact on quality of life, and death. This document provides evidence-based recommendations for the management of patients with cSCC.

Multicenter study using GEP was used in combination with SLNB to enhance identification of patients with high-risk melanoma. GEP predicted additional recurrences and distant metastases, improving sensitivity over using SLNB alone.

Assesed impact of GEP results on the management of clinically node negative cutaneous melanoma patients staged with sentinel lymph node biopsy (SLNB). 31-GEP was significantly associated with the management of stage I-II melanoma patients after staging with SLNB. Node negative Class 2 patients led to more aggressive management.

A method for objective quantification of epithelial and stromal biomarkers to generate a tissue profile aiding predictive models for cancer pathology.

Assessment of the sensitivity and specificity of 23-GEP in melanocytic lesions with a desmoplastic component

11-member Melanoma Evolving Diagnostic Technologies Integration Group (MEDTIG) derived an algorithmic approach to systematically facilitate incorporating these technologies into the evaluation and management of suspicious PSLs.