Thorpe RB, Covington KR, Caruso HG, et al. - Construction of a nomogram incorporating 31-gene expression profile (31-GEP) with relevant clinical factors, to improve prognostic accuracy for cutaneous melanoma (CM) cases, was attempted in this study, and the findings led to the conclusion that 31-GEP and T stage can be integrated to acquire clinically beneficial prognostic information from data collected non-invasively.

• An IRB-approved study of 1,124 patients treated with Mohs micrographic surgery, and had 31-GEP testing, was conducted; data from 684 of those patients with at least one-year follow-up or a metastatic event were used in nomogram development to predict metastatic risk.

• The simplest nomogram with the lowest Bayesian information criteria score was obtained by logistic regression modeling of 31-GEP results and T stage.

• A significant linear correlation between noted and nomogram-predicted risk of metastasis was found on validation in an archival cohort (n=901).

• The resulting nomogram enabled a more accurate prediction of the risk for CM metastasis compared with T stage or 31-GEP alone.