BACKGROUND: A gene expression profile (GEP) test able to accurately identify risk of metastasis for patients with cutaneous melanoma has been clinically validated. OBJECTIVE: We aimed for assessment of the prognostic accuracy of GEP and sentinel lymph node biopsy (SLNB) tests, independently and in combination, in a multicenter cohort of 217 patients. METHODS: Reverse transcription polymerase chain reaction (RT-PCR) was performed to assess the expression of 31 genes from primary melanoma tumors, and SLNB outcome was determined from clinical data. Prognostic accuracy of each test was determined using Kaplan-Meier and Cox regression analysis of disease-free, distant metastasis-free, and overall survivals. RESULTS: GEP outcome was a more signif...
Background: Fifteen to forty percent of patients with localized cutaneous melanoma (CM) (stages I–II...
Current prognostic clinical and morphological parameters are insufficient to accurately predict meta...
It was expected that with the advent of genomics, oncology may defeat the deadliest forms of cancer ...
ImportanceUse of prognostic gene expression profile (GEP) testing in cutaneous melanoma (CM) is risi...
Abstract Background Gene expression profiling (GEP) has been integrated into cancer treatment decisi...
Abstract Background The heterogeneous behavior of patients with melanoma makes prognostication chall...
Background: The current standard of care for patients without sentinel node (SN) metastasis (i.e., s...
BACKGROUND: The current standard of care for patients without sentinel node (SN) metastasis (i.e., s...
AIM: Can gene expression profiling be used to identify patients with T1-T2 melanoma at low risk for ...
PURPOSE: The development of a genetic signature for the identification of high-risk cutaneous melano...
Melanoma is currently divided on a genetic level according to mutational status. However, this class...
Background: This study was designed to determine the debated prognostic significance of reverse tran...
BACKGROUND: Current prognostic clinical and morphological parameters are insufficient to accurately ...
Abstract Background A 31-gene expression profile (GEP) test that provides risk classification of cut...
PURPOSE: Molecular biology-based ultrastaging of cancer is already part of the standard management o...
Background: Fifteen to forty percent of patients with localized cutaneous melanoma (CM) (stages I–II...
Current prognostic clinical and morphological parameters are insufficient to accurately predict meta...
It was expected that with the advent of genomics, oncology may defeat the deadliest forms of cancer ...
ImportanceUse of prognostic gene expression profile (GEP) testing in cutaneous melanoma (CM) is risi...
Abstract Background Gene expression profiling (GEP) has been integrated into cancer treatment decisi...
Abstract Background The heterogeneous behavior of patients with melanoma makes prognostication chall...
Background: The current standard of care for patients without sentinel node (SN) metastasis (i.e., s...
BACKGROUND: The current standard of care for patients without sentinel node (SN) metastasis (i.e., s...
AIM: Can gene expression profiling be used to identify patients with T1-T2 melanoma at low risk for ...
PURPOSE: The development of a genetic signature for the identification of high-risk cutaneous melano...
Melanoma is currently divided on a genetic level according to mutational status. However, this class...
Background: This study was designed to determine the debated prognostic significance of reverse tran...
BACKGROUND: Current prognostic clinical and morphological parameters are insufficient to accurately ...
Abstract Background A 31-gene expression profile (GEP) test that provides risk classification of cut...
PURPOSE: Molecular biology-based ultrastaging of cancer is already part of the standard management o...
Background: Fifteen to forty percent of patients with localized cutaneous melanoma (CM) (stages I–II...
Current prognostic clinical and morphological parameters are insufficient to accurately predict meta...
It was expected that with the advent of genomics, oncology may defeat the deadliest forms of cancer ...