The Prognostic and Predictive Value of Melanoma-related MicroRNAs Using Tissue and Serum: A MicroRNA Expression Analysis
The overall 5-year survival for melanoma is 91%. However, if distant metastasis occurs (stage IV), cure rates are <15%. Hence, melanoma detection in earlier stages (stages I–III) maximises the chances of patient survival. We measured the expression of a panel of 17 microRNAs (miRNAs) (MELmiR-17)...
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doaj-f58bad4dfd3047f9af67155e9107cfcf2020-11-25T03:27:51ZengElsevierEBioMedicine2352-39642015-07-012767168010.1016/j.ebiom.2015.05.011The Prognostic and Predictive Value of Melanoma-related MicroRNAs Using Tissue and Serum: A MicroRNA Expression AnalysisMitchell S. Stark0Kerenaftali Klein1Benjamin Weide2Lauren E. Haydu3Annette Pflugfelder4Yue Hang Tang5Jane M. Palmer6David C. Whiteman7Richard A. Scolyer8Graham J. Mann9John F. Thompson10Georgina V. Long11Andrew P. Barbour12H. Peter Soyer13Claus Garbe14Adrian Herington15Pamela M. Pollock16Nicholas K. Hayward17Oncogenomics Group, QIMR Berghofer Medical Research Institute, Herston, Brisbane, QLD 4029, AustraliaStatistics Unit, QIMR Berghofer Medical Research Institute, Herston, Brisbane, QLD 4029, AustraliaDepartment of Dermatology, University Medical Center, Tubingen, GermanyMelanoma Institute Australia, Sydney, NSW, AustraliaDepartment of Dermatology, University Medical Center, Tubingen, GermanySurgical Oncology Group, The University of Queensland, School of Medicine, Princess Alexandra Hospital, Woolloongabba, Brisbane, Queensland, AustraliaOncogenomics Group, QIMR Berghofer Medical Research Institute, Herston, Brisbane, QLD 4029, AustraliaCancer Control Group, QIMR Berghofer Medical Research Institute, Herston, Brisbane, QLD 4029, AustraliaMelanoma Institute Australia, Sydney, NSW, AustraliaMelanoma Institute Australia, Sydney, NSW, AustraliaMelanoma Institute Australia, Sydney, NSW, AustraliaMelanoma Institute Australia, Sydney, NSW, AustraliaSurgical Oncology Group, The University of Queensland, School of Medicine, Princess Alexandra Hospital, Woolloongabba, Brisbane, Queensland, AustraliaDermatology Research Centre, The University of Queensland, School of Medicine, Translational Research Institute, Brisbane, Queensland, AustraliaDepartment of Dermatology, University Medical Center, Tubingen, GermanySchool of Biomedical Sciences, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD 4059, AustraliaSchool of Biomedical Sciences, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD 4059, AustraliaOncogenomics Group, QIMR Berghofer Medical Research Institute, Herston, Brisbane, QLD 4029, AustraliaThe overall 5-year survival for melanoma is 91%. However, if distant metastasis occurs (stage IV), cure rates are <15%. Hence, melanoma detection in earlier stages (stages I–III) maximises the chances of patient survival. We measured the expression of a panel of 17 microRNAs (miRNAs) (MELmiR-17) in melanoma tissues (stage III; n = 76 and IV; n = 10) and serum samples (collected from controls with no melanoma, n = 130; and patients with melanoma (stages I/II, n = 86; III, n = 50; and IV, n = 119)) obtained from biobanks in Australia and Germany. In melanoma tissues, members of the ‘MELmiR-17’ panel were found to be predictors of stage, recurrence, and survival. Additionally, in a minimally-invasive blood test, a seven-miRNA panel (MELmiR-7) detected the presence of melanoma (relative to controls) with high sensitivity (93%) and specificity (≥82%) when ≥4 miRNAs were expressed. Moreover, the ‘MELmiR-7’ panel characterised overall survival of melanoma patients better than both serum LDH and S100B (delta log likelihood = 11, p < 0.001). This panel was found to be superior to currently used serological markers for melanoma progression, recurrence, and survival; and would be ideally suited to monitor tumour progression in patients diagnosed with early metastatic disease (stages IIIa–c/IV M1a–b) to detect relapse following surgical or adjuvant treatment.http://www.sciencedirect.com/science/article/pii/S2352396415300189MelanomaMiRNAMicroRNABiomarkerDiagnosticPrognostic |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mitchell S. Stark Kerenaftali Klein Benjamin Weide Lauren E. Haydu Annette Pflugfelder Yue Hang Tang Jane M. Palmer David C. Whiteman Richard A. Scolyer Graham J. Mann John F. Thompson Georgina V. Long Andrew P. Barbour H. Peter Soyer Claus Garbe Adrian Herington Pamela M. Pollock Nicholas K. Hayward |
spellingShingle |
Mitchell S. Stark Kerenaftali Klein Benjamin Weide Lauren E. Haydu Annette Pflugfelder Yue Hang Tang Jane M. Palmer David C. Whiteman Richard A. Scolyer Graham J. Mann John F. Thompson Georgina V. Long Andrew P. Barbour H. Peter Soyer Claus Garbe Adrian Herington Pamela M. Pollock Nicholas K. Hayward The Prognostic and Predictive Value of Melanoma-related MicroRNAs Using Tissue and Serum: A MicroRNA Expression Analysis EBioMedicine Melanoma MiRNA MicroRNA Biomarker Diagnostic Prognostic |
author_facet |
Mitchell S. Stark Kerenaftali Klein Benjamin Weide Lauren E. Haydu Annette Pflugfelder Yue Hang Tang Jane M. Palmer David C. Whiteman Richard A. Scolyer Graham J. Mann John F. Thompson Georgina V. Long Andrew P. Barbour H. Peter Soyer Claus Garbe Adrian Herington Pamela M. Pollock Nicholas K. Hayward |
author_sort |
Mitchell S. Stark |
title |
The Prognostic and Predictive Value of Melanoma-related MicroRNAs Using Tissue and Serum: A MicroRNA Expression Analysis |
title_short |
The Prognostic and Predictive Value of Melanoma-related MicroRNAs Using Tissue and Serum: A MicroRNA Expression Analysis |
title_full |
The Prognostic and Predictive Value of Melanoma-related MicroRNAs Using Tissue and Serum: A MicroRNA Expression Analysis |
title_fullStr |
The Prognostic and Predictive Value of Melanoma-related MicroRNAs Using Tissue and Serum: A MicroRNA Expression Analysis |
title_full_unstemmed |
The Prognostic and Predictive Value of Melanoma-related MicroRNAs Using Tissue and Serum: A MicroRNA Expression Analysis |
title_sort |
prognostic and predictive value of melanoma-related micrornas using tissue and serum: a microrna expression analysis |
publisher |
Elsevier |
series |
EBioMedicine |
issn |
2352-3964 |
publishDate |
2015-07-01 |
description |
The overall 5-year survival for melanoma is 91%. However, if distant metastasis occurs (stage IV), cure rates are <15%. Hence, melanoma detection in earlier stages (stages I–III) maximises the chances of patient survival. We measured the expression of a panel of 17 microRNAs (miRNAs) (MELmiR-17) in melanoma tissues (stage III; n = 76 and IV; n = 10) and serum samples (collected from controls with no melanoma, n = 130; and patients with melanoma (stages I/II, n = 86; III, n = 50; and IV, n = 119)) obtained from biobanks in Australia and Germany. In melanoma tissues, members of the ‘MELmiR-17’ panel were found to be predictors of stage, recurrence, and survival. Additionally, in a minimally-invasive blood test, a seven-miRNA panel (MELmiR-7) detected the presence of melanoma (relative to controls) with high sensitivity (93%) and specificity (≥82%) when ≥4 miRNAs were expressed. Moreover, the ‘MELmiR-7’ panel characterised overall survival of melanoma patients better than both serum LDH and S100B (delta log likelihood = 11, p < 0.001). This panel was found to be superior to currently used serological markers for melanoma progression, recurrence, and survival; and would be ideally suited to monitor tumour progression in patients diagnosed with early metastatic disease (stages IIIa–c/IV M1a–b) to detect relapse following surgical or adjuvant treatment. |
topic |
Melanoma MiRNA MicroRNA Biomarker Diagnostic Prognostic |
url |
http://www.sciencedirect.com/science/article/pii/S2352396415300189 |
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