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Cross-platform comparison of independent datasets identifies an immune signature associated with improved survival in metastatic melanoma

Platform and study differences in prognostic signatures from metastatic melanoma (MM) gene expression reports often hinder consensus arrival. We performed survival/outcome-based pairwise comparisons of three independent MM gene expression profiles using the threshold-free algorithm rank-rank hyperge...

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Autores principales: Lardone, Ricardo D., Plaisier, Seema B., Navarrete, Marian S., Shamonki, Jaime M., Jalas, John R., Sieling, Peter A., Lee, Delphine J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4924725/
https://www.ncbi.nlm.nih.gov/pubmed/26883106
http://dx.doi.org/10.18632/oncotarget.7361
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author Lardone, Ricardo D.
Plaisier, Seema B.
Navarrete, Marian S.
Shamonki, Jaime M.
Jalas, John R.
Sieling, Peter A.
Lee, Delphine J.
author_facet Lardone, Ricardo D.
Plaisier, Seema B.
Navarrete, Marian S.
Shamonki, Jaime M.
Jalas, John R.
Sieling, Peter A.
Lee, Delphine J.
author_sort Lardone, Ricardo D.
collection PubMed
description Platform and study differences in prognostic signatures from metastatic melanoma (MM) gene expression reports often hinder consensus arrival. We performed survival/outcome-based pairwise comparisons of three independent MM gene expression profiles using the threshold-free algorithm rank-rank hypergeometric overlap analysis (RRHO). We found statistically significant overlap for genes overexpressed in favorable outcome (FO) groups, but no overlap for poor outcome (PO) groups. This “favorable outcome signature” (FOS) of 228 genes coinciding on all three overlapping gene lists showed immune function predominated in FO MM. Surprisingly, specific cell signature-enrichment analysis showed B cell-associated genes enriched in FO MM, along with T cell-associated genes. Higher levels of B and T cells (p<0.05) and their relative proximity (p<0.05) were detected in FO-to-PO tumor comparisons from an independent MM patients cohort. Finally, expression of FOS in two independent Stage III MM tumor datasets correctly predicted clinical outcome in 12/14 and 44/70 patients using a weighted gene voting classifier (area under the curve values 0.96 and 0.75, respectively). This RRHO-based, cross-study analysis emphasizes the RRHO approach power, confirms T cells relevance for prolonged MM survival, supports a favorable role for B cells in anti-melanoma immunity, and suggests B cells potential as means of intervention in melanoma treatment.
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spelling pubmed-49247252016-07-13 Cross-platform comparison of independent datasets identifies an immune signature associated with improved survival in metastatic melanoma Lardone, Ricardo D. Plaisier, Seema B. Navarrete, Marian S. Shamonki, Jaime M. Jalas, John R. Sieling, Peter A. Lee, Delphine J. Oncotarget Research Paper Platform and study differences in prognostic signatures from metastatic melanoma (MM) gene expression reports often hinder consensus arrival. We performed survival/outcome-based pairwise comparisons of three independent MM gene expression profiles using the threshold-free algorithm rank-rank hypergeometric overlap analysis (RRHO). We found statistically significant overlap for genes overexpressed in favorable outcome (FO) groups, but no overlap for poor outcome (PO) groups. This “favorable outcome signature” (FOS) of 228 genes coinciding on all three overlapping gene lists showed immune function predominated in FO MM. Surprisingly, specific cell signature-enrichment analysis showed B cell-associated genes enriched in FO MM, along with T cell-associated genes. Higher levels of B and T cells (p<0.05) and their relative proximity (p<0.05) were detected in FO-to-PO tumor comparisons from an independent MM patients cohort. Finally, expression of FOS in two independent Stage III MM tumor datasets correctly predicted clinical outcome in 12/14 and 44/70 patients using a weighted gene voting classifier (area under the curve values 0.96 and 0.75, respectively). This RRHO-based, cross-study analysis emphasizes the RRHO approach power, confirms T cells relevance for prolonged MM survival, supports a favorable role for B cells in anti-melanoma immunity, and suggests B cells potential as means of intervention in melanoma treatment. Impact Journals LLC 2016-02-13 /pmc/articles/PMC4924725/ /pubmed/26883106 http://dx.doi.org/10.18632/oncotarget.7361 Text en Copyright: © 2016 Lardone et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Lardone, Ricardo D.
Plaisier, Seema B.
Navarrete, Marian S.
Shamonki, Jaime M.
Jalas, John R.
Sieling, Peter A.
Lee, Delphine J.
Cross-platform comparison of independent datasets identifies an immune signature associated with improved survival in metastatic melanoma
title Cross-platform comparison of independent datasets identifies an immune signature associated with improved survival in metastatic melanoma
title_full Cross-platform comparison of independent datasets identifies an immune signature associated with improved survival in metastatic melanoma
title_fullStr Cross-platform comparison of independent datasets identifies an immune signature associated with improved survival in metastatic melanoma
title_full_unstemmed Cross-platform comparison of independent datasets identifies an immune signature associated with improved survival in metastatic melanoma
title_short Cross-platform comparison of independent datasets identifies an immune signature associated with improved survival in metastatic melanoma
title_sort cross-platform comparison of independent datasets identifies an immune signature associated with improved survival in metastatic melanoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4924725/
https://www.ncbi.nlm.nih.gov/pubmed/26883106
http://dx.doi.org/10.18632/oncotarget.7361
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