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Tempel, Dennie

https://orcid.org/0000-0002-8061-6483

Mayo Clinic

SkylineDx (Netherlands)

Citations 2

Validation of CP‐GEP (Merlin Assay) for predicting sentinel lymph node metastasis in primary cutaneous melanoma patients: A U.S. cohort study
Yousaf, Ahmed , Tjien-Fooh, Félicia , Rentroia‐Pacheco, Barbara , Quattrocchi, Enrica , Kobic, Ajdin, Tempel, Dennie , Meves, Alexander , Meves, Alexander , Kolodney, Michael S.

International Journal of Dermatology | April 29, 2021 | Volume: 60 | Issue: 7 | Pages: 851-856

10.1111/ijd.15594 Get It

AbstractBackgroundApproximately 85% of melanoma patients who undergo a sentinel lymph node biopsy (SLNB) are node‐negative. Melanoma incidence is highest in patients ≥65 years, but their SLNB positivity rate is lower than in younger patients. CP‐GEP, a model combining clinicopathologic and gene expression variables, identifies primary cutaneous melanoma (CM) patients who may safely forgo SLNB due to their low risk for nodal metastasis. Here, we validate CP‐GEP in a U.S. melanoma patient cohort.MethodsA cohort of 208 adult patients with primary CM from the Mayo Clinic and West Virginia University was used. Patients were stratified according to their risk for nodal metastasis: CP‐GEP High Risk and CP‐GEP Low Risk. The main performance measures were SLNB reduction rate (RR) and negative predictive value (NPV).ResultsSLNB positivity rate for the entire cohort was 21%. Most patients had a T1b (34%) or T2a (31%) melanoma. In the T1‐T2 group (153 patients), CP‐GEP achieved an SLNB RR of 41.8% (95% CI: 33.9‐50.1) at an NPV of 93.8% (95% CI: 84.8‐98.3). Subgroup analysis showed similar performance in T1‐T2 patients ≥65 years of age (51 patients; SLNB positivity rate, 9.8%): SLNB RR of 43.1% (95% CI: 29.3‐57.8) at an NPV of 95.5% (95% CI: 77.2‐99.9).ConclusionWe confirmed the potential of CP‐GEP to reduce negative SLNB in all relevant age groups. Our findings are especially relevant to patients ≥65 years, where surgery is often elective. CP‐GEP may guide SLNB decision‐making in clinical practice.
Primary cutaneous melanoma risk stratification using a clinicopathologic and gene expression model: a pilot study
Arias‐Mejias, Suzette M. , Quattrocchi, Enrica , Tempel, Dennie , Luna‐Vargas, Mark, Chen, Jeff , Murphree, Dennis H. , Gjeorgjievski, Sandra Gjorgova , Lehman, Julia S. , Bridges, Alina G. , Dwarkasing, Jvalini, Meves, Alexander , Gjorgova Gjeorgjievski, Sandra, Lehman, Julia S

International Journal of Dermatology | June 9, 2020 | Volume: 59 | Issue: 11 | Pages: No page available

10.1111/ijd.14987 Get It