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J Am Acad Dermatol ; 86(4): 846-853, 2022 04.
Article in English | MEDLINE | ID: mdl-34808324

ABSTRACT

BACKGROUND: There is a need to improve prognostic accuracy for patients with cutaneous melanoma. A 31-gene expression profile (31-GEP) test uses the molecular biology of primary tumors to identify individual patient metastatic risk. OBJECTIVE: Develop a nomogram incorporating 31-GEP with relevant clinical factors to improve prognostic accuracy. METHODS: In an IRB-approved study, 1124 patients from 9 Mohs micrographic surgery centers were prospectively enrolled, treated with Mohs micrographic surgery, and underwent 31-GEP testing. Data from 684 of those patients with at least 1-year follow-up or a metastatic event were included in nomogram development to predict metastatic risk. RESULTS: Logistic regression modeling of 31-GEP results and T stage provided the simplest nomogram with the lowest Bayesian information criteria score. Validation in an archival cohort (n = 901) demonstrated a significant linear correlation between observed and nomogram-predicted risk of metastasis. The resulting nomogram more accurately predicts the risk for cutaneous melanoma metastasis than T stage or 31-GEP alone. LIMITATIONS: The patient population is representative of Mohs micrographic surgery centers. Sentinel lymph node biopsy was not performed for most patients and could not be used in the nomogram. CONCLUSIONS: Integration of 31-GEP and T stage can gain clinically useful prognostic information from data obtained noninvasively.


Subject(s)
Melanoma , Skin Neoplasms , Bayes Theorem , Gene Expression Profiling/methods , Humans , Melanoma/genetics , Melanoma/pathology , Melanoma/surgery , Mohs Surgery , Nomograms , Prognosis , Skin Neoplasms/genetics , Skin Neoplasms/pathology , Skin Neoplasms/surgery , Melanoma, Cutaneous Malignant
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