Cargando…
Performance of a prognostic 31-gene expression profile in an independent cohort of 523 cutaneous melanoma patients
BACKGROUND: The heterogeneous behavior of patients with melanoma makes prognostication challenging. To address this, a gene expression profile (GEP) test to predict metastatic risk was previously developed. This study evaluates the GEP’s prognostic accuracy in an independent cohort of cutaneous mela...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5800282/ https://www.ncbi.nlm.nih.gov/pubmed/29402264 http://dx.doi.org/10.1186/s12885-018-4016-3 |
_version_ | 1783298183898595328 |
---|---|
author | Zager, Jonathan S. Gastman, Brian R. Leachman, Sancy Gonzalez, Rene C. Fleming, Martin D. Ferris, Laura K. Ho, Jonhan Miller, Alexander R. Cook, Robert W. Covington, Kyle R. Meldi-Plasseraud, Kristen Middlebrook, Brooke Kaminester, Lewis H. Greisinger, Anthony Estrada, Sarah I. Pariser, David M. Cranmer, Lee D. Messina, Jane L. Vetto, John T. Wayne, Jeffrey D. Delman, Keith A. Lawson, David H. Gerami, Pedram |
author_facet | Zager, Jonathan S. Gastman, Brian R. Leachman, Sancy Gonzalez, Rene C. Fleming, Martin D. Ferris, Laura K. Ho, Jonhan Miller, Alexander R. Cook, Robert W. Covington, Kyle R. Meldi-Plasseraud, Kristen Middlebrook, Brooke Kaminester, Lewis H. Greisinger, Anthony Estrada, Sarah I. Pariser, David M. Cranmer, Lee D. Messina, Jane L. Vetto, John T. Wayne, Jeffrey D. Delman, Keith A. Lawson, David H. Gerami, Pedram |
author_sort | Zager, Jonathan S. |
collection | PubMed |
description | BACKGROUND: The heterogeneous behavior of patients with melanoma makes prognostication challenging. To address this, a gene expression profile (GEP) test to predict metastatic risk was previously developed. This study evaluates the GEP’s prognostic accuracy in an independent cohort of cutaneous melanoma patients. METHODS: This multi-center study analyzed primary melanoma tumors from 523 patients, using the GEP to classify patients as Class 1 (low risk) and Class 2 (high risk). Molecular classification was correlated to clinical outcome and assessed along with AJCC v7 staging criteria. Primary endpoints were recurrence-free (RFS) and distant metastasis-free (DMFS) survival. RESULTS: The 5-year RFS rates for Class 1 and Class 2 were 88% and 52%, respectively, and DMFS rates were 93% versus 60%, respectively (P < 0.001). The GEP was a significant predictor of RFS and DMFS in univariate analysis (hazard ratio [HR] = 5.4 and 6.6, respectively, P < 0.001 for each), along with Breslow thickness, ulceration, mitotic rate, and sentinel lymph node (SLN) status (P < 0.001 for each). GEP, tumor thickness and SLN status were significant predictors of RFS and DMFS in a multivariate model that also included ulceration and mitotic rate (RFS HR = 2.1, 1.2, and 2.5, respectively, P < 0.001 for each; and DMFS HR = 2.7, 1.3 and 3.0, respectively, P < 0.01 for each). CONCLUSIONS: The GEP test is an objective predictor of metastatic risk and provides additional independent prognostic information to traditional staging to help estimate an individual’s risk for recurrence. The assay identified 70% of stage I and II patients who ultimately developed distant metastasis. Its role in consideration of patients for adjuvant therapy should be examined prospectively. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-018-4016-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5800282 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58002822018-02-13 Performance of a prognostic 31-gene expression profile in an independent cohort of 523 cutaneous melanoma patients Zager, Jonathan S. Gastman, Brian R. Leachman, Sancy Gonzalez, Rene C. Fleming, Martin D. Ferris, Laura K. Ho, Jonhan Miller, Alexander R. Cook, Robert W. Covington, Kyle R. Meldi-Plasseraud, Kristen Middlebrook, Brooke Kaminester, Lewis H. Greisinger, Anthony Estrada, Sarah I. Pariser, David M. Cranmer, Lee D. Messina, Jane L. Vetto, John T. Wayne, Jeffrey D. Delman, Keith A. Lawson, David H. Gerami, Pedram BMC Cancer Research Article BACKGROUND: The heterogeneous behavior of patients with melanoma makes prognostication challenging. To address this, a gene expression profile (GEP) test to predict metastatic risk was previously developed. This study evaluates the GEP’s prognostic accuracy in an independent cohort of cutaneous melanoma patients. METHODS: This multi-center study analyzed primary melanoma tumors from 523 patients, using the GEP to classify patients as Class 1 (low risk) and Class 2 (high risk). Molecular classification was correlated to clinical outcome and assessed along with AJCC v7 staging criteria. Primary endpoints were recurrence-free (RFS) and distant metastasis-free (DMFS) survival. RESULTS: The 5-year RFS rates for Class 1 and Class 2 were 88% and 52%, respectively, and DMFS rates were 93% versus 60%, respectively (P < 0.001). The GEP was a significant predictor of RFS and DMFS in univariate analysis (hazard ratio [HR] = 5.4 and 6.6, respectively, P < 0.001 for each), along with Breslow thickness, ulceration, mitotic rate, and sentinel lymph node (SLN) status (P < 0.001 for each). GEP, tumor thickness and SLN status were significant predictors of RFS and DMFS in a multivariate model that also included ulceration and mitotic rate (RFS HR = 2.1, 1.2, and 2.5, respectively, P < 0.001 for each; and DMFS HR = 2.7, 1.3 and 3.0, respectively, P < 0.01 for each). CONCLUSIONS: The GEP test is an objective predictor of metastatic risk and provides additional independent prognostic information to traditional staging to help estimate an individual’s risk for recurrence. The assay identified 70% of stage I and II patients who ultimately developed distant metastasis. Its role in consideration of patients for adjuvant therapy should be examined prospectively. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-018-4016-3) contains supplementary material, which is available to authorized users. BioMed Central 2018-02-05 /pmc/articles/PMC5800282/ /pubmed/29402264 http://dx.doi.org/10.1186/s12885-018-4016-3 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Zager, Jonathan S. Gastman, Brian R. Leachman, Sancy Gonzalez, Rene C. Fleming, Martin D. Ferris, Laura K. Ho, Jonhan Miller, Alexander R. Cook, Robert W. Covington, Kyle R. Meldi-Plasseraud, Kristen Middlebrook, Brooke Kaminester, Lewis H. Greisinger, Anthony Estrada, Sarah I. Pariser, David M. Cranmer, Lee D. Messina, Jane L. Vetto, John T. Wayne, Jeffrey D. Delman, Keith A. Lawson, David H. Gerami, Pedram Performance of a prognostic 31-gene expression profile in an independent cohort of 523 cutaneous melanoma patients |
title | Performance of a prognostic 31-gene expression profile in an independent cohort of 523 cutaneous melanoma patients |
title_full | Performance of a prognostic 31-gene expression profile in an independent cohort of 523 cutaneous melanoma patients |
title_fullStr | Performance of a prognostic 31-gene expression profile in an independent cohort of 523 cutaneous melanoma patients |
title_full_unstemmed | Performance of a prognostic 31-gene expression profile in an independent cohort of 523 cutaneous melanoma patients |
title_short | Performance of a prognostic 31-gene expression profile in an independent cohort of 523 cutaneous melanoma patients |
title_sort | performance of a prognostic 31-gene expression profile in an independent cohort of 523 cutaneous melanoma patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5800282/ https://www.ncbi.nlm.nih.gov/pubmed/29402264 http://dx.doi.org/10.1186/s12885-018-4016-3 |
work_keys_str_mv | AT zagerjonathans performanceofaprognostic31geneexpressionprofileinanindependentcohortof523cutaneousmelanomapatients AT gastmanbrianr performanceofaprognostic31geneexpressionprofileinanindependentcohortof523cutaneousmelanomapatients AT leachmansancy performanceofaprognostic31geneexpressionprofileinanindependentcohortof523cutaneousmelanomapatients AT gonzalezrenec performanceofaprognostic31geneexpressionprofileinanindependentcohortof523cutaneousmelanomapatients AT flemingmartind performanceofaprognostic31geneexpressionprofileinanindependentcohortof523cutaneousmelanomapatients AT ferrislaurak performanceofaprognostic31geneexpressionprofileinanindependentcohortof523cutaneousmelanomapatients AT hojonhan performanceofaprognostic31geneexpressionprofileinanindependentcohortof523cutaneousmelanomapatients AT milleralexanderr performanceofaprognostic31geneexpressionprofileinanindependentcohortof523cutaneousmelanomapatients AT cookrobertw performanceofaprognostic31geneexpressionprofileinanindependentcohortof523cutaneousmelanomapatients AT covingtonkyler performanceofaprognostic31geneexpressionprofileinanindependentcohortof523cutaneousmelanomapatients AT meldiplasseraudkristen performanceofaprognostic31geneexpressionprofileinanindependentcohortof523cutaneousmelanomapatients AT middlebrookbrooke performanceofaprognostic31geneexpressionprofileinanindependentcohortof523cutaneousmelanomapatients AT kaminesterlewish performanceofaprognostic31geneexpressionprofileinanindependentcohortof523cutaneousmelanomapatients AT greisingeranthony performanceofaprognostic31geneexpressionprofileinanindependentcohortof523cutaneousmelanomapatients AT estradasarahi performanceofaprognostic31geneexpressionprofileinanindependentcohortof523cutaneousmelanomapatients AT pariserdavidm performanceofaprognostic31geneexpressionprofileinanindependentcohortof523cutaneousmelanomapatients AT cranmerleed performanceofaprognostic31geneexpressionprofileinanindependentcohortof523cutaneousmelanomapatients AT messinajanel performanceofaprognostic31geneexpressionprofileinanindependentcohortof523cutaneousmelanomapatients AT vettojohnt performanceofaprognostic31geneexpressionprofileinanindependentcohortof523cutaneousmelanomapatients AT waynejeffreyd performanceofaprognostic31geneexpressionprofileinanindependentcohortof523cutaneousmelanomapatients AT delmankeitha performanceofaprognostic31geneexpressionprofileinanindependentcohortof523cutaneousmelanomapatients AT lawsondavidh performanceofaprognostic31geneexpressionprofileinanindependentcohortof523cutaneousmelanomapatients AT geramipedram performanceofaprognostic31geneexpressionprofileinanindependentcohortof523cutaneousmelanomapatients |