GOBO: gene expression-based outcome for breast cancer online.

Microarray-based gene expression analysis holds promise of improving prognostication and treatment decisions for breast cancer patients. However, the heterogeneity of breast cancer emphasizes the need for validation of prognostic gene signatures in larger sample sets stratified into relevant subgrou...

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Autores principales: Markus Ringnér, Erik Fredlund, Jari Häkkinen, Åke Borg, Johan Staaf
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Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2011
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Acceso en línea:https://doaj.org/article/2c55fbaa09af445ebcecf716cd9845cd
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spelling oai:doaj.org-article:2c55fbaa09af445ebcecf716cd9845cd2021-11-18T06:57:03ZGOBO: gene expression-based outcome for breast cancer online.1932-620310.1371/journal.pone.0017911https://doaj.org/article/2c55fbaa09af445ebcecf716cd9845cd2011-03-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21445301/?tool=EBIhttps://doaj.org/toc/1932-6203Microarray-based gene expression analysis holds promise of improving prognostication and treatment decisions for breast cancer patients. However, the heterogeneity of breast cancer emphasizes the need for validation of prognostic gene signatures in larger sample sets stratified into relevant subgroups. Here, we describe a multifunctional user-friendly online tool, GOBO (http://co.bmc.lu.se/gobo), allowing a range of different analyses to be performed in an 1881-sample breast tumor data set, and a 51-sample breast cancer cell line set, both generated on Affymetrix U133A microarrays. GOBO supports a wide range of applications including: 1) rapid assessment of gene expression levels in subgroups of breast tumors and cell lines, 2) identification of co-expressed genes for creation of potential metagenes, 3) association with outcome for gene expression levels of single genes, sets of genes, or gene signatures in multiple subgroups of the 1881-sample breast cancer data set. The design and implementation of GOBO facilitate easy incorporation of additional query functions and applications, as well as additional data sets irrespective of tumor type and array platform.Markus RingnérErik FredlundJari HäkkinenÅke BorgJohan StaafPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 6, Iss 3, p e17911 (2011)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Markus Ringnér
Erik Fredlund
Jari Häkkinen
Åke Borg
Johan Staaf
GOBO: gene expression-based outcome for breast cancer online.
description Microarray-based gene expression analysis holds promise of improving prognostication and treatment decisions for breast cancer patients. However, the heterogeneity of breast cancer emphasizes the need for validation of prognostic gene signatures in larger sample sets stratified into relevant subgroups. Here, we describe a multifunctional user-friendly online tool, GOBO (http://co.bmc.lu.se/gobo), allowing a range of different analyses to be performed in an 1881-sample breast tumor data set, and a 51-sample breast cancer cell line set, both generated on Affymetrix U133A microarrays. GOBO supports a wide range of applications including: 1) rapid assessment of gene expression levels in subgroups of breast tumors and cell lines, 2) identification of co-expressed genes for creation of potential metagenes, 3) association with outcome for gene expression levels of single genes, sets of genes, or gene signatures in multiple subgroups of the 1881-sample breast cancer data set. The design and implementation of GOBO facilitate easy incorporation of additional query functions and applications, as well as additional data sets irrespective of tumor type and array platform.
format article
author Markus Ringnér
Erik Fredlund
Jari Häkkinen
Åke Borg
Johan Staaf
author_facet Markus Ringnér
Erik Fredlund
Jari Häkkinen
Åke Borg
Johan Staaf
author_sort Markus Ringnér
title GOBO: gene expression-based outcome for breast cancer online.
title_short GOBO: gene expression-based outcome for breast cancer online.
title_full GOBO: gene expression-based outcome for breast cancer online.
title_fullStr GOBO: gene expression-based outcome for breast cancer online.
title_full_unstemmed GOBO: gene expression-based outcome for breast cancer online.
title_sort gobo: gene expression-based outcome for breast cancer online.
publisher Public Library of Science (PLoS)
publishDate 2011
url https://doaj.org/article/2c55fbaa09af445ebcecf716cd9845cd
work_keys_str_mv AT markusringner gobogeneexpressionbasedoutcomeforbreastcanceronline
AT erikfredlund gobogeneexpressionbasedoutcomeforbreastcanceronline
AT jarihakkinen gobogeneexpressionbasedoutcomeforbreastcanceronline
AT akeborg gobogeneexpressionbasedoutcomeforbreastcanceronline
AT johanstaaf gobogeneexpressionbasedoutcomeforbreastcanceronline
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