A miRNA-Based Signature Detected in Primary Melanoma Tissue Predicts Development of Brain Metastasis
- 1 November 2015
- journal article
- research article
- Published by American Association for Cancer Research (AACR) in Clinical Cancer Research
- Vol. 21 (21) , 4903-4912
Abstract
Purpose: Brain metastasis is the major cause of mortality among patients with melanoma. A molecular prognostic test that can reliably stratify patients at initial melanoma diagnosis by risk of developing brain metastasis may inform the clinical management of these patients. Experimental Design: We performed a retrospective, cohort-based study analyzing genome-wide and targeted microRNA expression profiling of primary melanoma tumors of three patient cohorts (n = 92, 119, and 45) with extensive clinical follow-up. We used Cox regression analysis to establish a microRNA-based signature that improves the ability of the current clinicopathologic staging system to predict the development of brain metastasis. Results: Our analyses identified a 4-microRNA (miR-150-5p, miR-15b-5p, miR-16-5p, and miR-374b-3p) prognostic signature that, in combination with stage, distinguished primary melanomas that metastasized to the brain from nonrecurrent and non–brain metastatic primary tumors (training cohort: C-index = 81.4%, validation cohort: C-index = 67.4%, independent cohort: C-index = 76.9%). Corresponding Kaplan–Meier curves of high- versus low-risk patients displayed a clear separation in brain metastasis-free and overall survival (training: P < 0.001; P < 0.001, validation: P = 0.033; P = 0.007, independent: P = 0.021; P = 0.022, respectively). Finally, of the microRNA in the prognostic model, we found that the expression of a key lymphocyte miRNA, miR-150-5p, which is less abundant in primary melanomas metastatic to brain, correlated with presence of CD45+ tumor-infiltrating lymphocytes. Conclusions: A prognostic assay based on the described miRNA expression signature combined with the currently used staging criteria may improve accuracy of primary melanoma patient prognoses and aid clinical management of patients, including selection for adjuvant treatment or clinical trials of adjuvant therapies. Clin Cancer Res; 21(21); 4903–12. ©2015 AACR.Keywords
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This publication has 51 references indexed in Scilit:
- Serum microRNAs as biomarkers for recurrence in melanomaJournal of Translational Medicine, 2012
- Safety, Activity, and Immune Correlates of Anti–PD-1 Antibody in CancerNew England Journal of Medicine, 2012
- Immunotype and Immunohistologic Characteristics of Tumor-Infiltrating Immune Cells Are Associated with Clinical Outcome in Metastatic MelanomaCancer Research, 2012
- MicroRNA dysregulation in cancer: diagnostics, monitoring and therapeutics. A comprehensive reviewEMBO Molecular Medicine, 2012
- miRNA Expression Profiling Enables Risk Stratification in Archived and Fresh Neuroblastoma Tumor SamplesClinical Cancer Research, 2011
- miR-30b/30d Regulation of GalNAc Transferases Enhances Invasion and Immunosuppression during MetastasisCancer Cell, 2011
- Prediction-Based Structured Variable Selection through the Receiver Operating Characteristic CurvesBiometrics, 2010
- Improved Survival with Ipilimumab in Patients with Metastatic MelanomaNew England Journal of Medicine, 2010
- Melanoma MicroRNA Signature Predicts Post-Recurrence SurvivalClinical Cancer Research, 2010
- miR-150, a microRNA expressed in mature B and T cells, blocks early B cell development when expressed prematurelyProceedings of the National Academy of Sciences, 2007