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A gene expression signature associated with survival in metastatic melanoma

BACKGROUND: Current clinical and histopathological criteria used to define the prognosis of melanoma patients are inadequate for accurate prediction of clinical outcome. We investigated whether genome screening by means of high-throughput gene microarray might provide clinically useful information o...

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Autores principales: Mandruzzato, Susanna, Callegaro, Andrea, Turcatel, Gianluca, Francescato, Samuela, Montesco, Maria C, Chiarion-Sileni, Vanna, Mocellin, Simone, Rossi, Carlo R, Bicciato, Silvio, Wang, Ena, Marincola, Francesco M, Zanovello, Paola
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1697826/
https://www.ncbi.nlm.nih.gov/pubmed/17129373
http://dx.doi.org/10.1186/1479-5876-4-50
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author Mandruzzato, Susanna
Callegaro, Andrea
Turcatel, Gianluca
Francescato, Samuela
Montesco, Maria C
Chiarion-Sileni, Vanna
Mocellin, Simone
Rossi, Carlo R
Bicciato, Silvio
Wang, Ena
Marincola, Francesco M
Zanovello, Paola
author_facet Mandruzzato, Susanna
Callegaro, Andrea
Turcatel, Gianluca
Francescato, Samuela
Montesco, Maria C
Chiarion-Sileni, Vanna
Mocellin, Simone
Rossi, Carlo R
Bicciato, Silvio
Wang, Ena
Marincola, Francesco M
Zanovello, Paola
author_sort Mandruzzato, Susanna
collection PubMed
description BACKGROUND: Current clinical and histopathological criteria used to define the prognosis of melanoma patients are inadequate for accurate prediction of clinical outcome. We investigated whether genome screening by means of high-throughput gene microarray might provide clinically useful information on patient survival. METHODS: Forty-three tumor tissues from 38 patients with stage III and stage IV melanoma were profiled with a 17,500 element cDNA microarray. Expression data were analyzed using significance analysis of microarrays (SAM) to identify genes associated with patient survival, and supervised principal components (SPC) to determine survival prediction. RESULTS: SAM analysis revealed a set of 80 probes, corresponding to 70 genes, associated with survival, i.e. 45 probes characterizing longer and 35 shorter survival times, respectively. These transcripts were included in a survival prediction model designed using SPC and cross-validation which allowed identifying 30 predicting probes out of the 80 associated with survival. CONCLUSION: The longer-survival group of genes included those expressed in immune cells, both innate and acquired, confirming the interplay between immunological mechanisms and the natural history of melanoma. Genes linked to immune cells were totally lacking in the poor-survival group, which was instead associated with a number of genes related to highly proliferative and invasive tumor cells.
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spelling pubmed-16978262006-12-19 A gene expression signature associated with survival in metastatic melanoma Mandruzzato, Susanna Callegaro, Andrea Turcatel, Gianluca Francescato, Samuela Montesco, Maria C Chiarion-Sileni, Vanna Mocellin, Simone Rossi, Carlo R Bicciato, Silvio Wang, Ena Marincola, Francesco M Zanovello, Paola J Transl Med Research BACKGROUND: Current clinical and histopathological criteria used to define the prognosis of melanoma patients are inadequate for accurate prediction of clinical outcome. We investigated whether genome screening by means of high-throughput gene microarray might provide clinically useful information on patient survival. METHODS: Forty-three tumor tissues from 38 patients with stage III and stage IV melanoma were profiled with a 17,500 element cDNA microarray. Expression data were analyzed using significance analysis of microarrays (SAM) to identify genes associated with patient survival, and supervised principal components (SPC) to determine survival prediction. RESULTS: SAM analysis revealed a set of 80 probes, corresponding to 70 genes, associated with survival, i.e. 45 probes characterizing longer and 35 shorter survival times, respectively. These transcripts were included in a survival prediction model designed using SPC and cross-validation which allowed identifying 30 predicting probes out of the 80 associated with survival. CONCLUSION: The longer-survival group of genes included those expressed in immune cells, both innate and acquired, confirming the interplay between immunological mechanisms and the natural history of melanoma. Genes linked to immune cells were totally lacking in the poor-survival group, which was instead associated with a number of genes related to highly proliferative and invasive tumor cells. BioMed Central 2006-11-27 /pmc/articles/PMC1697826/ /pubmed/17129373 http://dx.doi.org/10.1186/1479-5876-4-50 Text en Copyright © 2006 Mandruzzato et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Mandruzzato, Susanna
Callegaro, Andrea
Turcatel, Gianluca
Francescato, Samuela
Montesco, Maria C
Chiarion-Sileni, Vanna
Mocellin, Simone
Rossi, Carlo R
Bicciato, Silvio
Wang, Ena
Marincola, Francesco M
Zanovello, Paola
A gene expression signature associated with survival in metastatic melanoma
title A gene expression signature associated with survival in metastatic melanoma
title_full A gene expression signature associated with survival in metastatic melanoma
title_fullStr A gene expression signature associated with survival in metastatic melanoma
title_full_unstemmed A gene expression signature associated with survival in metastatic melanoma
title_short A gene expression signature associated with survival in metastatic melanoma
title_sort gene expression signature associated with survival in metastatic melanoma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1697826/
https://www.ncbi.nlm.nih.gov/pubmed/17129373
http://dx.doi.org/10.1186/1479-5876-4-50
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