2018
DOI: 10.1186/s12885-018-4016-3
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Performance of a prognostic 31-gene expression profile in an independent cohort of 523 cutaneous melanoma patients

Abstract: BackgroundThe heterogeneous behavior of patients with melanoma makes prognostication challenging. To address this, a gene expression profile (GEP) test to predict metastatic risk was previously developed. This study evaluates the GEP’s prognostic accuracy in an independent cohort of cutaneous melanoma patients.MethodsThis multi-center study analyzed primary melanoma tumors from 523 patients, using the GEP to classify patients as Class 1 (low risk) and Class 2 (high risk). Molecular classification was correlate… Show more

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Cited by 117 publications
(123 citation statements)
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“…The test assesses the expression of three control genes, four genes with proven prognostic utility for UMs [31] and 24 genes previously reported to be differentially expressed in metastatic compared to primary tumours [32][33][34][35][36][37][38]. The performance of this test has been evaluated in several retrospective [30,39,40] as well as prospective validation studies [41,42] and has been shown to enhance current prognostic accuracy in particular through identifying clinically and pathologically sentinel lymph node (SLN)-negative patients with high-risk of metastases. However, although there is great promise in reproducibility and clinical validity, the clinical utility for the 31-GEP test on clinical decision-making is still incompletely defined, and will require evidence from further large-scale prospective multi-institutional registry studies before it can be considered for inclusion in any national or professional association guideline recommendations.…”
Section: Gene Expression Profiles and Their Prognostic Implicationmentioning
confidence: 99%
“…The test assesses the expression of three control genes, four genes with proven prognostic utility for UMs [31] and 24 genes previously reported to be differentially expressed in metastatic compared to primary tumours [32][33][34][35][36][37][38]. The performance of this test has been evaluated in several retrospective [30,39,40] as well as prospective validation studies [41,42] and has been shown to enhance current prognostic accuracy in particular through identifying clinically and pathologically sentinel lymph node (SLN)-negative patients with high-risk of metastases. However, although there is great promise in reproducibility and clinical validity, the clinical utility for the 31-GEP test on clinical decision-making is still incompletely defined, and will require evidence from further large-scale prospective multi-institutional registry studies before it can be considered for inclusion in any national or professional association guideline recommendations.…”
Section: Gene Expression Profiles and Their Prognostic Implicationmentioning
confidence: 99%
“…14 Recently, new prognostic tests based on genetic profiling signatures have been developed to better identify those patients who are at a higher risk of developing metastasis leading to death. [15][16][17][18][19][20] A gene expression profile (GEP) test (DecisionDx-Melanoma, Castle Biosciences, Inc., Friendswood, TX, USA) evaluates 31 genes of primary cutaneous melanoma tumours and based on the expression of these genes (genetic signature) it classifies patients into two groups of risk of relapse, low (class 1) or high (class 2). This test has been validated in several historical cohorts showing that its prognostic ability is independent from the clinical and pathological features of the tumour.…”
Section: Introductionmentioning
confidence: 99%
“…This test has been validated in several historical cohorts showing that its prognostic ability is independent from the clinical and pathological features of the tumour. [15][16][17][18][19][20][21][22][23][24] However, this test has never before been evaluated in a prospective multicentre cohort.…”
Section: Introductionmentioning
confidence: 99%
“…Gene expression profile (GEP) class assignment was performed using the commercially available 31-GEP test (DecisionDx-Melanoma) available from Castle Biosciences, Inc. (Friendswood, Texas), the development and validation of which has been previously described. [17][18][19] This clinical test reports a class probability assignment of either Class 1 (low risk) or Class 2 (high risk), as well as a reduced confidence assignment with "A" reflecting a better and "B" reflecting worse outcomes resulting in assignments of Class 1A, 1B, 2A, and 2B. The melanoma cases included in this study are exclusive of the training set used in the test's algorithm.…”
Section: Gene Expression Profile Class Assignmentmentioning
confidence: 99%