Scientific Evidence

Impact of a 31-gene expression profiling test for cutaneous melanoma on dermatologists clinical management decisions

May 2017

Risk appropriate management recommendations for implementing SLNB and imaging were more likely to be made following incorporation of DecisionDx-Melanoma test results.

Author: Farberg A, et al.

Publication: Journal of Drugs and Dermatology

Identification of high-risk cutaneous melanoma tumors is improved when combining the online American Joint Committee on Cancer individualized melanoma patient outcome prediction tool with a 31-gene expression profile–based classification

May 2017

Comparison and accuracy of the GEP in combination with risk determined using the web-based AJCC Individualized Melanoma Patient Outcome Prediction Tool.

Author: Ferris L, et al.

Publication: Journal of the American Academy of Dermatology

The influence of a gene expression signature on the treatment of diagnostically challenging melanocytic lesions

Jan 2017

MyPath Melanoma guides dermatologists in treatment decisions leading to a 72% reduction in re-excisions when the GEP result is benign.

Author: Cockerell C, et al.

Publication: Personalized Medicine

An independent validation of a gene expression signature to differentiate malignant melanoma from benign melanocytic nevi

Oct 2016

Establishes the performance of the gene expression signature in prospectively submitted cases with triple concordant diagnosis.

Author: Clarke LE, et al.

Publication: Cancer

The influence of a gene expression signature on the diagnosis and recommended treatment of melanocytic tumors by dermatopathologists

Oct 2016

Definitive diagnoses by dermatopathologists in challenging melanocytic lesions increased by 57% by incorporating the results of 23-GEP.

Author: Cockerell C, et al.

Publication: Medicine

Clinical impact of a 31-gene expression profile test for cutaneous melanoma in 156 prospectively and consecutively tested patients

May 2016

Post-test management plans were changed in 53% of patients who had risk aligned management changes concordant with a Class 1 (low risk) or Class 2 result (high risk).

Author: Berger A, et al.

Publication: Current Medical Research and Opinion

Clinical validation of a gene expression signature that differentiates benign nevi from malignant melanoma

Mar 2015

Initial development and validation of the 23-GEP establishing a high level of sensitivity and specificity in a broad range of histopathological subtypes.

Author: Clarke L, et al.

Publication: Journal of Cutaneous Pathology

Gene expression profiling for molecular staging of cutaneous melanoma in patients undergoing sentinel lymph node biopsy

Mar 2015

Assessment of the prognostic accuracy of GEP and sentinel lymph node biopsy (SLNB) tests, independently and in combination, in a multicenter cohort of 217 patients.

Author: Gerami P, et al.

Publication: Journal of the American Academy of Dermatology

Analytical validation of a melanoma diagnostic gene signature using formalin-fixed paraffin-embedded melanocytic lesions

Mar 2015

Analytical validation study to establish precision, dynamic range, RNA yield, reproducibility, and melanin inhibition.

Author: Warf MB, et al.

Publication: Biomarkers in Medicine

Development of a prognostic genetic signature to predict the metastatic risk associated with cutaneous melanoma

Jan 2015

Multicenter study shows clear and significant separation of risk between Class 1 and Class 2 result for DFS, DMFS, MSS, OS using Kaplan-Maier analysis.

Author: Gerami P, et al.

Publication: Clinical Cancer Research