Examinando por Autor "Martin Gonzalez, MM"

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    Early outcome of a 31-gene expression profile test in 86 AJCC stage IB-II melanoma patients. A prospective multicentre cohort study
    (Wiley, 2019) Podlipnik, S; Carrera, C; Boada, A; Richarz, N; Lopez Estebaranz, JL; Pinedo Moraleda, F; Elosua Gonzalez, M; Martin Gonzalez, MM; Carrillo Gijon, R; Redondo, P; Moreno, E; Malvehy, J; Puig, S
    Background The clinical and pathological features of primary melanoma are not sufficiently sensitive to accurately pre dict which patients are at a greater risk of relapse. Recently, a 31-gene expression profile (DecisionDx-Melanoma) test has shown promising results. Objectives To evaluate the early prognostic performance of a genetic signature in a multicentre prospectively evalu ated cohort. Methods Inclusion of patients with AJCC stages IB and II conducted between April 2015 and December 2016. All patients were followed up prospectively to assess their risk of relapse. Prognostic performance of this test was evaluated individually and later combined with the AJCC staging system. Prognostic accuracy of disease-free survival was deter mined using Kaplan–Meier curves and Cox regression analysis. Results of the gene expression profile test were desig nated as Class 1 (low risk) and Class 2 (high risk). Results Median follow-up time was 26 months (IQR 22–30). The gene expression profile test was performed with 86 patients; seven had developed metastasis (8.1%) and all of them were in the Class 2 group, representing 21.2% of this group. Gene expression profile was an independent prognostic factor for relapse as indicated by multivariate Cox regression analysis, adjusted for AJCC stages and age. Conclusions This prospective multicentre cohort study, performed in a Spanish Caucasian cohort, shows that this 31- gene expression profile test could correctly identify patients at early AJCC stages who are at greater risk of relapse. We believe that gene expression profile in combination with the AJCC staging system could well improve the detection of patients who need intensive surveillance and optimize follow-up strategies