An attempt at a molecular prediction of metastasis in patients with primary cutaneous melanoma.

<h4>Background</h4>Current prognostic clinical and morphological parameters are insufficient to accurately predict metastasis in individual melanoma patients. Several studies have described gene expression signatures to predict survival or metastasis of primary melanoma patients, however...

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Autores principales: Melanie Gschaider, Friederike Neumann, Bettina Peters, Florian Lenz, Michael Cibena, Malgorzata Goiser, Ingrid Wolf, Jörg Wenzel, Cornelia Mauch, Wolfgang Schreiner, Stephan N Wagner
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Publicado: Public Library of Science (PLoS) 2012
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spelling oai:doaj.org-article:af2b71bfdc9947b3ab1295ca5ef272b12021-11-18T08:08:39ZAn attempt at a molecular prediction of metastasis in patients with primary cutaneous melanoma.1932-620310.1371/journal.pone.0049865https://doaj.org/article/af2b71bfdc9947b3ab1295ca5ef272b12012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23166783/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Current prognostic clinical and morphological parameters are insufficient to accurately predict metastasis in individual melanoma patients. Several studies have described gene expression signatures to predict survival or metastasis of primary melanoma patients, however the reproducibility among these studies is disappointingly low.<h4>Methodology/principal findings</h4>We followed extended REMARK/Gould Rothberg criteria to identify gene sets predictive for metastasis in patients with primary cutaneous melanoma. For class comparison, gene expression data from 116 patients with clinical stage I/II (no metastasis) and 72 with III/IV primary melanoma (with metastasis) at time of first diagnosis were used. Significance analysis of microarrays identified the top 50 differentially expressed genes. In an independent data set from a second cohort of 28 primary melanoma patients, these genes were analyzed by multivariate Cox regression analysis and leave-one-out cross validation for association with development of metastatic disease. In a multivariate Cox regression analysis, expression of the genes Ena/vasodilator-stimulated phosphoprotein-like (EVL) and CD24 antigen gave the best predictive value (p = 0.001; p = 0.017, respectively). A multivariate Cox proportional hazards model revealed these genes as a potential independent predictor, which may possibly add (both p = 0.01) to the predictive value of the most important morphological indicator, Breslow depth.<h4>Conclusion/significance</h4>Combination of molecular with morphological information may potentially enable an improved prediction of metastasis in primary melanoma patients. A strength of the gene expression set is the small number of genes, which should allow easy reevaluation in independent data sets and adequately designed clinical trials.Melanie GschaiderFriederike NeumannBettina PetersFlorian LenzMichael CibenaMalgorzata GoiserIngrid WolfJörg WenzelCornelia MauchWolfgang SchreinerStephan N WagnerPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 11, p e49865 (2012)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Melanie Gschaider
Friederike Neumann
Bettina Peters
Florian Lenz
Michael Cibena
Malgorzata Goiser
Ingrid Wolf
Jörg Wenzel
Cornelia Mauch
Wolfgang Schreiner
Stephan N Wagner
An attempt at a molecular prediction of metastasis in patients with primary cutaneous melanoma.
description <h4>Background</h4>Current prognostic clinical and morphological parameters are insufficient to accurately predict metastasis in individual melanoma patients. Several studies have described gene expression signatures to predict survival or metastasis of primary melanoma patients, however the reproducibility among these studies is disappointingly low.<h4>Methodology/principal findings</h4>We followed extended REMARK/Gould Rothberg criteria to identify gene sets predictive for metastasis in patients with primary cutaneous melanoma. For class comparison, gene expression data from 116 patients with clinical stage I/II (no metastasis) and 72 with III/IV primary melanoma (with metastasis) at time of first diagnosis were used. Significance analysis of microarrays identified the top 50 differentially expressed genes. In an independent data set from a second cohort of 28 primary melanoma patients, these genes were analyzed by multivariate Cox regression analysis and leave-one-out cross validation for association with development of metastatic disease. In a multivariate Cox regression analysis, expression of the genes Ena/vasodilator-stimulated phosphoprotein-like (EVL) and CD24 antigen gave the best predictive value (p = 0.001; p = 0.017, respectively). A multivariate Cox proportional hazards model revealed these genes as a potential independent predictor, which may possibly add (both p = 0.01) to the predictive value of the most important morphological indicator, Breslow depth.<h4>Conclusion/significance</h4>Combination of molecular with morphological information may potentially enable an improved prediction of metastasis in primary melanoma patients. A strength of the gene expression set is the small number of genes, which should allow easy reevaluation in independent data sets and adequately designed clinical trials.
format article
author Melanie Gschaider
Friederike Neumann
Bettina Peters
Florian Lenz
Michael Cibena
Malgorzata Goiser
Ingrid Wolf
Jörg Wenzel
Cornelia Mauch
Wolfgang Schreiner
Stephan N Wagner
author_facet Melanie Gschaider
Friederike Neumann
Bettina Peters
Florian Lenz
Michael Cibena
Malgorzata Goiser
Ingrid Wolf
Jörg Wenzel
Cornelia Mauch
Wolfgang Schreiner
Stephan N Wagner
author_sort Melanie Gschaider
title An attempt at a molecular prediction of metastasis in patients with primary cutaneous melanoma.
title_short An attempt at a molecular prediction of metastasis in patients with primary cutaneous melanoma.
title_full An attempt at a molecular prediction of metastasis in patients with primary cutaneous melanoma.
title_fullStr An attempt at a molecular prediction of metastasis in patients with primary cutaneous melanoma.
title_full_unstemmed An attempt at a molecular prediction of metastasis in patients with primary cutaneous melanoma.
title_sort attempt at a molecular prediction of metastasis in patients with primary cutaneous melanoma.
publisher Public Library of Science (PLoS)
publishDate 2012
url https://doaj.org/article/af2b71bfdc9947b3ab1295ca5ef272b1
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