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)...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Mitchell S. Stark [verfasserIn] Kerenaftali Klein [verfasserIn] Benjamin Weide [verfasserIn] Lauren E. Haydu [verfasserIn] Annette Pflugfelder [verfasserIn] Yue Hang Tang [verfasserIn] Jane M. Palmer [verfasserIn] David C. Whiteman [verfasserIn] Richard A. Scolyer [verfasserIn] Graham J. Mann [verfasserIn] John F. Thompson [verfasserIn] Georgina V. Long [verfasserIn] Andrew P. Barbour [verfasserIn] H. Peter Soyer [verfasserIn] Claus Garbe [verfasserIn] Adrian Herington [verfasserIn] Pamela M. Pollock [verfasserIn] Nicholas K. Hayward [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: EBioMedicine - Elsevier, 2015, 2(2015), 7, Seite 671-680 |
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| Übergeordnetes Werk: |
volume:2 ; year:2015 ; number:7 ; pages:671-680 |
| Links: |
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| DOI / URN: |
10.1016/j.ebiom.2015.05.011 |
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| Katalog-ID: |
DOAJ076909190 |
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| 520 | |a 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. | ||
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10.1016/j.ebiom.2015.05.011 doi (DE-627)DOAJ076909190 (DE-599)DOAJf58bad4dfd3047f9af67155e9107cfcf DE-627 ger DE-627 rakwb eng R5-920 Mitchell S. Stark verfasserin aut The Prognostic and Predictive Value of Melanoma-related MicroRNAs Using Tissue and Serum: A MicroRNA Expression Analysis 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Melanoma MiRNA MicroRNA Biomarker Diagnostic Prognostic Medicine R Medicine (General) Kerenaftali Klein verfasserin aut Benjamin Weide verfasserin aut Lauren E. Haydu verfasserin aut Annette Pflugfelder verfasserin aut Yue Hang Tang verfasserin aut Jane M. Palmer verfasserin aut David C. Whiteman verfasserin aut Richard A. Scolyer verfasserin aut Graham J. Mann verfasserin aut John F. Thompson verfasserin aut Georgina V. Long verfasserin aut Andrew P. Barbour verfasserin aut H. Peter Soyer verfasserin aut Claus Garbe verfasserin aut Adrian Herington verfasserin aut Pamela M. Pollock verfasserin aut Nicholas K. Hayward verfasserin aut In EBioMedicine Elsevier, 2015 2(2015), 7, Seite 671-680 (DE-627)802540074 (DE-600)2799017-5 23523964 nnns volume:2 year:2015 number:7 pages:671-680 https://doi.org/10.1016/j.ebiom.2015.05.011 kostenfrei https://doaj.org/article/f58bad4dfd3047f9af67155e9107cfcf kostenfrei http://www.sciencedirect.com/science/article/pii/S2352396415300189 kostenfrei https://doaj.org/toc/2352-3964 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 2 2015 7 671-680 |
| spelling |
10.1016/j.ebiom.2015.05.011 doi (DE-627)DOAJ076909190 (DE-599)DOAJf58bad4dfd3047f9af67155e9107cfcf DE-627 ger DE-627 rakwb eng R5-920 Mitchell S. Stark verfasserin aut The Prognostic and Predictive Value of Melanoma-related MicroRNAs Using Tissue and Serum: A MicroRNA Expression Analysis 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Melanoma MiRNA MicroRNA Biomarker Diagnostic Prognostic Medicine R Medicine (General) Kerenaftali Klein verfasserin aut Benjamin Weide verfasserin aut Lauren E. Haydu verfasserin aut Annette Pflugfelder verfasserin aut Yue Hang Tang verfasserin aut Jane M. Palmer verfasserin aut David C. Whiteman verfasserin aut Richard A. Scolyer verfasserin aut Graham J. Mann verfasserin aut John F. Thompson verfasserin aut Georgina V. Long verfasserin aut Andrew P. Barbour verfasserin aut H. Peter Soyer verfasserin aut Claus Garbe verfasserin aut Adrian Herington verfasserin aut Pamela M. Pollock verfasserin aut Nicholas K. Hayward verfasserin aut In EBioMedicine Elsevier, 2015 2(2015), 7, Seite 671-680 (DE-627)802540074 (DE-600)2799017-5 23523964 nnns volume:2 year:2015 number:7 pages:671-680 https://doi.org/10.1016/j.ebiom.2015.05.011 kostenfrei https://doaj.org/article/f58bad4dfd3047f9af67155e9107cfcf kostenfrei http://www.sciencedirect.com/science/article/pii/S2352396415300189 kostenfrei https://doaj.org/toc/2352-3964 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 2 2015 7 671-680 |
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10.1016/j.ebiom.2015.05.011 doi (DE-627)DOAJ076909190 (DE-599)DOAJf58bad4dfd3047f9af67155e9107cfcf DE-627 ger DE-627 rakwb eng R5-920 Mitchell S. Stark verfasserin aut The Prognostic and Predictive Value of Melanoma-related MicroRNAs Using Tissue and Serum: A MicroRNA Expression Analysis 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Melanoma MiRNA MicroRNA Biomarker Diagnostic Prognostic Medicine R Medicine (General) Kerenaftali Klein verfasserin aut Benjamin Weide verfasserin aut Lauren E. Haydu verfasserin aut Annette Pflugfelder verfasserin aut Yue Hang Tang verfasserin aut Jane M. Palmer verfasserin aut David C. Whiteman verfasserin aut Richard A. Scolyer verfasserin aut Graham J. Mann verfasserin aut John F. Thompson verfasserin aut Georgina V. Long verfasserin aut Andrew P. Barbour verfasserin aut H. Peter Soyer verfasserin aut Claus Garbe verfasserin aut Adrian Herington verfasserin aut Pamela M. Pollock verfasserin aut Nicholas K. Hayward verfasserin aut In EBioMedicine Elsevier, 2015 2(2015), 7, Seite 671-680 (DE-627)802540074 (DE-600)2799017-5 23523964 nnns volume:2 year:2015 number:7 pages:671-680 https://doi.org/10.1016/j.ebiom.2015.05.011 kostenfrei https://doaj.org/article/f58bad4dfd3047f9af67155e9107cfcf kostenfrei http://www.sciencedirect.com/science/article/pii/S2352396415300189 kostenfrei https://doaj.org/toc/2352-3964 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 2 2015 7 671-680 |
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10.1016/j.ebiom.2015.05.011 doi (DE-627)DOAJ076909190 (DE-599)DOAJf58bad4dfd3047f9af67155e9107cfcf DE-627 ger DE-627 rakwb eng R5-920 Mitchell S. Stark verfasserin aut The Prognostic and Predictive Value of Melanoma-related MicroRNAs Using Tissue and Serum: A MicroRNA Expression Analysis 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Melanoma MiRNA MicroRNA Biomarker Diagnostic Prognostic Medicine R Medicine (General) Kerenaftali Klein verfasserin aut Benjamin Weide verfasserin aut Lauren E. Haydu verfasserin aut Annette Pflugfelder verfasserin aut Yue Hang Tang verfasserin aut Jane M. Palmer verfasserin aut David C. Whiteman verfasserin aut Richard A. Scolyer verfasserin aut Graham J. Mann verfasserin aut John F. Thompson verfasserin aut Georgina V. Long verfasserin aut Andrew P. Barbour verfasserin aut H. Peter Soyer verfasserin aut Claus Garbe verfasserin aut Adrian Herington verfasserin aut Pamela M. Pollock verfasserin aut Nicholas K. Hayward verfasserin aut In EBioMedicine Elsevier, 2015 2(2015), 7, Seite 671-680 (DE-627)802540074 (DE-600)2799017-5 23523964 nnns volume:2 year:2015 number:7 pages:671-680 https://doi.org/10.1016/j.ebiom.2015.05.011 kostenfrei https://doaj.org/article/f58bad4dfd3047f9af67155e9107cfcf kostenfrei http://www.sciencedirect.com/science/article/pii/S2352396415300189 kostenfrei https://doaj.org/toc/2352-3964 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 2 2015 7 671-680 |
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10.1016/j.ebiom.2015.05.011 doi (DE-627)DOAJ076909190 (DE-599)DOAJf58bad4dfd3047f9af67155e9107cfcf DE-627 ger DE-627 rakwb eng R5-920 Mitchell S. Stark verfasserin aut The Prognostic and Predictive Value of Melanoma-related MicroRNAs Using Tissue and Serum: A MicroRNA Expression Analysis 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Melanoma MiRNA MicroRNA Biomarker Diagnostic Prognostic Medicine R Medicine (General) Kerenaftali Klein verfasserin aut Benjamin Weide verfasserin aut Lauren E. Haydu verfasserin aut Annette Pflugfelder verfasserin aut Yue Hang Tang verfasserin aut Jane M. Palmer verfasserin aut David C. Whiteman verfasserin aut Richard A. Scolyer verfasserin aut Graham J. Mann verfasserin aut John F. Thompson verfasserin aut Georgina V. Long verfasserin aut Andrew P. Barbour verfasserin aut H. Peter Soyer verfasserin aut Claus Garbe verfasserin aut Adrian Herington verfasserin aut Pamela M. Pollock verfasserin aut Nicholas K. Hayward verfasserin aut In EBioMedicine Elsevier, 2015 2(2015), 7, Seite 671-680 (DE-627)802540074 (DE-600)2799017-5 23523964 nnns volume:2 year:2015 number:7 pages:671-680 https://doi.org/10.1016/j.ebiom.2015.05.011 kostenfrei https://doaj.org/article/f58bad4dfd3047f9af67155e9107cfcf kostenfrei http://www.sciencedirect.com/science/article/pii/S2352396415300189 kostenfrei https://doaj.org/toc/2352-3964 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 2 2015 7 671-680 |
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Mitchell S. Stark @@aut@@ Kerenaftali Klein @@aut@@ Benjamin Weide @@aut@@ Lauren E. Haydu @@aut@@ Annette Pflugfelder @@aut@@ Yue Hang Tang @@aut@@ Jane M. Palmer @@aut@@ David C. Whiteman @@aut@@ Richard A. Scolyer @@aut@@ Graham J. Mann @@aut@@ John F. Thompson @@aut@@ Georgina V. Long @@aut@@ Andrew P. Barbour @@aut@@ H. Peter Soyer @@aut@@ Claus Garbe @@aut@@ Adrian Herington @@aut@@ Pamela M. Pollock @@aut@@ Nicholas K. Hayward @@aut@@ |
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Mitchell S. Stark misc R5-920 misc Melanoma misc MiRNA misc MicroRNA misc Biomarker misc Diagnostic misc Prognostic misc Medicine misc R misc Medicine (General) The Prognostic and Predictive Value of Melanoma-related MicroRNAs Using Tissue and Serum: A MicroRNA Expression Analysis |
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R5-920 The Prognostic and Predictive Value of Melanoma-related MicroRNAs Using Tissue and Serum: A MicroRNA Expression Analysis Melanoma MiRNA MicroRNA Biomarker Diagnostic Prognostic |
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prognostic and predictive value of melanoma-related micrornas using tissue and serum: a microrna expression analysis |
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The Prognostic and Predictive Value of Melanoma-related MicroRNAs Using Tissue and Serum: A MicroRNA Expression Analysis |
| abstract |
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. |
| abstractGer |
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. |
| abstract_unstemmed |
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. |
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The Prognostic and Predictive Value of Melanoma-related MicroRNAs Using Tissue and Serum: A MicroRNA Expression Analysis |
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2024-07-03T23:02:31.303Z |
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