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Scientific Evidence
Utility of a 31-gene expression profile for predicting outcomes in patients with primary cutaneous melanoma referred for sentinel node biopsy
Mar 2021
GEP class was predictive of RFS and DMFS and independently predicted relapse in AJCC “low risk” (stages IA-IIA) patients.
Publication: The American Jounral of Surgery
Assessment of the 31-gene expression profile test by dermatologists: a cross-sectional survey from national dermatology conferences
Mar 2021
Survey to assess the professional understanding, opinions, and clinical usage of the 31-GEP test by dermatologists.
Publication: SKIN: Journal of Cutaneous Melanoma
Risk stratification of patients with stage I cutaneous melanoma using 31-gene expression profiling
Jan 2021
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.
Publication: Journal of Clinical and Aesthetic Dermatology
A dermatologist’s guide to implementation of gene expression profiling in the management of melanoma
Nov 2020
Expert panel of 5 leading dermatologists with 31-GEP experience convened to review literature and create a shared decision-making model/algorithm.
Publication: Journal of Clinical and Aesthetic Dermatology
Integrating the melanoma 31-gene expression profile test with surgical oncology practice within national guideline and staging recommendations
Oct 2020
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.
Publication: Future Oncology
Integration of a 31-gene expression profile into clinical decision-making in the treatment of cutaneous melanoma
Aug 2020
Retrospective review and early experience in utilizing 31-GEP in intermediate melanomas and its effect on clinical management.
Publication: The American Surgeon
A systematic review and meta-analysis of gene expression profiling for primary cutaneous melanoma prognosis
May 2020
Systematic review of available evidence on GEP for prognosis. Included meta-analysis of 6 studies on the 31-GEP. Clinical implications show that 31-GEP can better assess prognosis leading to more appropriate patient management.
Publication: SKIN: Journal of Cutaneous Melanoma
Molecular risk prediction in cutaneous melanoma: a meta-analysis of the 31-gene expression profile prognostic test in 1,479 patients
Mar 2020
Meta-analysis stage I-II patients. GEP consistently identifies melanoma patients at increased risk of metastasis, independent of clinicopathologic features and can be used in conjunction with traditional staging to improve patient risk stratification.
Publication: Journal of the American Academy of Dermatology
Appropriate use criteria for the integration of diagnostic and prognostic gene expression profile assays into the management of cutaneous malignant melanoma: an expert panel consensus-based modified delphi process assessment
Sep 2019
Expert panel of 9 dermatologists developed 29 clinical scenarios creating an evidence based framework for AUC recommendations for integration of melanoma GEP tests into clincial practice.
Publication: SKIN: Journal of Cutaneous Melanoma
Level of evidence review for a gene expression profile test for cutaneous melanoma
Jul 2019
Review the current literature and establish the level of evidence for a cutaneous melanoma 31-GEP test.
Publication: American Journal of Clinical Dermatology
Establishing an evidence-based decision point for clinical use of the 31-gene expression profile test in cutaneous melanoma
Jul 2019
Multi center study establishing appropriate use criteria for determining risk of recurrence in patients with tumors >0.3mm in thickness.
Publication: SKIN: Journal of Cutaneous Melanoma
Prospective validation of the prognostic 31-gene expression profiling test in primary cutaneous melanoma
Apr 2019
Independent, prospective study with over 3.5 years of follow-up, showing results consistent with previous validation studies with GEP class score as statistically associated with MSS, DMFS and RFS.
Publication: Cancer Medicine