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MicroRNA and mRNA expression profiling in metastatic melanoma reveal associations with BRAF mutation and patient prognosis
Authors:Ellis Patrick  Vivek Jayaswal  Yue Hang Tang  Andrew Barbour  Nicholas K Hayward  John F Thompson  Richard A Scolyer  Yee Hwa Yang  Graham J Mann
Institution:1. School of Mathematics and Statistics, The University of Sydney, Sydney, NSW, Australia;2. Surgical Oncology Group, School of Medicine, The University of Queensland, Princess Alexandra Hospital, Brisbane, Qld, Australia;3. Department of Surgery, School of Medicine, The University of Queensland, Princess Alexandra Hospital, Brisbane, Qld, Australia;4. Oncogenomics Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Qld, Australia;5. Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia;6. Discipline of Surgery, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia;7. Discipline of Pathology, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia;8. Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital, Sydney, NSW, Australia;9. Westmead Millennium Institute, The University of Sydney, Sydney, NSW, Australia
Abstract:The role of microRNAs (miRNAs) in melanoma is unclear. We examined global miRNA expression profiles in fresh‐frozen metastatic melanomas in relation to clinical outcome and BRAF mutation, with validation in independent cohorts of tumours and sera. We integrated miRNA and mRNA information from the same samples and elucidated networks associated with outcome and mutation. Associations with prognosis were replicated for miR‐150‐5p, miR‐142‐3p and miR‐142‐5p. Co‐analysis of miRNA and mRNA uncovered a network associated with poor prognosis (PP) that paradoxically favoured expression of miRNAs opposing tumorigenesis. These miRNAs are likely part of an autoregulatory response to oncogenic drivers, rather than drivers themselves. Robust association of miR‐150‐5p and the miR‐142 duplex with good prognosis and earlier stage metastatic melanoma supports their potential as biomarkers. miRNAs overexpressed in association with PP in an autoregulatory fashion will not be suitable therapeutic targets.
Keywords:bioinformatics  biomarker        BRAF        melanoma  microRNA  miRNA  network  pathology  prognosis
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