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THER-07. DEVELOPMENT OF A NEW MOLECULAR PREDICTOR FOR RISK OF BRAIN METASTASES AND EFFICACY OF TARGETED THERAPY IN MELANOMA
Despite therapeutic advances in the treatment of melanoma, development of brain metastases (BM) continues to be a major manifestation of treatment failure. The ability to identify those patients who are at highest risk of developing brain metastases is limited with current methods. Development of se...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7213423/ http://dx.doi.org/10.1093/noajnl/vdz014.050 |
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author | Colman, Howard Boucher, Ken Stehn, Chris Kircher, David Holmen, Sheri |
author_facet | Colman, Howard Boucher, Ken Stehn, Chris Kircher, David Holmen, Sheri |
author_sort | Colman, Howard |
collection | PubMed |
description | Despite therapeutic advances in the treatment of melanoma, development of brain metastases (BM) continues to be a major manifestation of treatment failure. The ability to identify those patients who are at highest risk of developing brain metastases is limited with current methods. Development of sensitive and specific biomarkers to predict which stage II-III melanoma patients are at highest risk of BM would enable initiation of prospective clinical trials focused on both intensive surveillance and therapeutic prevention. To accomplish this goal, we embarked on an effort to optimize a combined molecular/clinical/pathologic predictor of BM risk. We firstanalyzed multiple gene expression datasets including TCGA (n = 437) and an independent series from Australia (n = 183) and identified a list of 60 consensus genes that is robustly predictive of development of melanoma BM (p < 0.05; FDR 5%). Next, we performed a similar analysis of association of miRNAs and melanoma BM risk which identified a set of miRNAs with significant predictive power. An optimized combined set of mRNA and miRNA markers was a better predictor of BM risk than either mRNA or miRNA list alone when applied to the TCGA data set. The combined predictor was most sensitive in separating patients with no metastases from those with either BM or systemic metastases. Current efforts are focused on optimizing miRNA and mRNA separation of patients specifically with BM from those with other mets, and with integrating the expression classifier with other clinical and pathologic predictive factors including: age, stage, thickness, location, histology, ulceration, gender. The sensitivity and specificity of the resulting clinical/molecular predictor will be validated in an independent retrospective cohort, and subsequently implemented in a prospective BM screening trial to determine real-world utility of this approach in preparation for prospective BM adjuvant/chemoprevention trials utilizing both immunotherapy and targeted therapy approaches. |
format | Online Article Text |
id | pubmed-7213423 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-72134232020-07-07 THER-07. DEVELOPMENT OF A NEW MOLECULAR PREDICTOR FOR RISK OF BRAIN METASTASES AND EFFICACY OF TARGETED THERAPY IN MELANOMA Colman, Howard Boucher, Ken Stehn, Chris Kircher, David Holmen, Sheri Neurooncol Adv Abstracts Despite therapeutic advances in the treatment of melanoma, development of brain metastases (BM) continues to be a major manifestation of treatment failure. The ability to identify those patients who are at highest risk of developing brain metastases is limited with current methods. Development of sensitive and specific biomarkers to predict which stage II-III melanoma patients are at highest risk of BM would enable initiation of prospective clinical trials focused on both intensive surveillance and therapeutic prevention. To accomplish this goal, we embarked on an effort to optimize a combined molecular/clinical/pathologic predictor of BM risk. We firstanalyzed multiple gene expression datasets including TCGA (n = 437) and an independent series from Australia (n = 183) and identified a list of 60 consensus genes that is robustly predictive of development of melanoma BM (p < 0.05; FDR 5%). Next, we performed a similar analysis of association of miRNAs and melanoma BM risk which identified a set of miRNAs with significant predictive power. An optimized combined set of mRNA and miRNA markers was a better predictor of BM risk than either mRNA or miRNA list alone when applied to the TCGA data set. The combined predictor was most sensitive in separating patients with no metastases from those with either BM or systemic metastases. Current efforts are focused on optimizing miRNA and mRNA separation of patients specifically with BM from those with other mets, and with integrating the expression classifier with other clinical and pathologic predictive factors including: age, stage, thickness, location, histology, ulceration, gender. The sensitivity and specificity of the resulting clinical/molecular predictor will be validated in an independent retrospective cohort, and subsequently implemented in a prospective BM screening trial to determine real-world utility of this approach in preparation for prospective BM adjuvant/chemoprevention trials utilizing both immunotherapy and targeted therapy approaches. Oxford University Press 2019-08-12 /pmc/articles/PMC7213423/ http://dx.doi.org/10.1093/noajnl/vdz014.050 Text en © The Author(s) 2019. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Abstracts Colman, Howard Boucher, Ken Stehn, Chris Kircher, David Holmen, Sheri THER-07. DEVELOPMENT OF A NEW MOLECULAR PREDICTOR FOR RISK OF BRAIN METASTASES AND EFFICACY OF TARGETED THERAPY IN MELANOMA |
title | THER-07. DEVELOPMENT OF A NEW MOLECULAR PREDICTOR FOR RISK OF BRAIN METASTASES AND EFFICACY OF TARGETED THERAPY IN MELANOMA |
title_full | THER-07. DEVELOPMENT OF A NEW MOLECULAR PREDICTOR FOR RISK OF BRAIN METASTASES AND EFFICACY OF TARGETED THERAPY IN MELANOMA |
title_fullStr | THER-07. DEVELOPMENT OF A NEW MOLECULAR PREDICTOR FOR RISK OF BRAIN METASTASES AND EFFICACY OF TARGETED THERAPY IN MELANOMA |
title_full_unstemmed | THER-07. DEVELOPMENT OF A NEW MOLECULAR PREDICTOR FOR RISK OF BRAIN METASTASES AND EFFICACY OF TARGETED THERAPY IN MELANOMA |
title_short | THER-07. DEVELOPMENT OF A NEW MOLECULAR PREDICTOR FOR RISK OF BRAIN METASTASES AND EFFICACY OF TARGETED THERAPY IN MELANOMA |
title_sort | ther-07. development of a new molecular predictor for risk of brain metastases and efficacy of targeted therapy in melanoma |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7213423/ http://dx.doi.org/10.1093/noajnl/vdz014.050 |
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