Better observed vs. predicted survival rate found for class 2 uveal melanoma tumors
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In patients with class 2 uveal melanoma tumors, predicted metastasis-free survival by a gene expression profile test was shown to be worse than that observed in a cohort study and worse than that reported in the literature.
The DecisionDx-UM (Castle Biosciences) is a commercially available prognostication test offered by several institutions to patients with uveal melanoma as part of their management plan. Based on this test, tumors are classified as low risk (class 1A), intermediate risk (class 1B) or high risk (class 2). Predicted survival reported as percent metastasis free for the three classes at 3 years and 5 years was 98% and 98%, 93% and 79%, and 50% and 28%, respectively, according to the study.
The study, conducted by the University of Iowa and the Cleveland Clinic, compared the predicted metastasis-free survival (MFS) obtained by the gene expression profile (GEP) test with the observed MFS in 347 patients with uveal melanoma. The results were also compared with the MFS data obtained through a meta-analysis of eligible published papers.
At baseline, tumors were classified according to the Collaborative Ocular Melanoma Study as small, medium or large and according to the four stages of the American Joint Committee on Cancer staging system. Over a median follow-up of 38 months, 48 patients (five with class 1A tumors, three with class 1B tumors and 40 with class 2 tumors) developed metastasis. The observed 3-year MFS was 93% for patients with class 1 tumors and 67% for patients with class 2 tumors, while the 5-year MFS was 87% for patients with class 1 tumors and 47% for patients with class 2 tumors. Larger tumor size was significantly associated with increased risk for developing metastasis.
The observed MFS data at 3 years and 5 years for class 2 tumors were significantly better as compared with the predicted GEP outcomes (50% and 28%) and were comparable to the data published in the literature (62% and 40%).
“The predicted MFS for metastatic tumors (class 2) may be too pessimistic than that observed by us and reported by others,” the authors wrote. “Incorporation of tumor size in the prediction model may enhance its accuracy.”