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PROGgene: gene expression based survival analysis web application for multiple cancers

BACKGROUND: Identification of prognostic mRNA biomarkers has been done for various cancer types. The data that are published from such studies are archived in public repositories. There are hundreds of such datasets available for multiple cancer types in public repositories. Wealth of such data can...

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Autores principales: Goswami, Chirayu Pankaj, Nakshatri, Harikrishna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3875898/
https://www.ncbi.nlm.nih.gov/pubmed/24165311
http://dx.doi.org/10.1186/2043-9113-3-22
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author Goswami, Chirayu Pankaj
Nakshatri, Harikrishna
author_facet Goswami, Chirayu Pankaj
Nakshatri, Harikrishna
author_sort Goswami, Chirayu Pankaj
collection PubMed
description BACKGROUND: Identification of prognostic mRNA biomarkers has been done for various cancer types. The data that are published from such studies are archived in public repositories. There are hundreds of such datasets available for multiple cancer types in public repositories. Wealth of such data can be utilized to study prognostic implications of mRNA in different cancers as well as in different populations or subtypes of same cancer. DESCRIPTION: We have created a web application that can be used for studying prognostic implications of mRNA biomarkers in a variety of cancers. We have compiled data from public repositories such as GEO, EBI Array Express and The Cancer Genome Atlas for creating this tool. With 64 patient series from 18 cancer types in our database, this tool provides the most comprehensive resource available for survival analysis to date. The tool is called PROGgene and it is available at http://www.compbio.iupui.edu/proggene. CONCLUSIONS: We present this tool as a hypothesis generation tool for researchers to identify potential prognostic mRNA biomarkers to follow up with further research. For this reason, we have kept the web application very simple and straightforward. We believe this tool will be useful in accelerating biomarker discovery in cancer and quickly providing results that may indicate disease-specific prognostic value of specific biomarkers.
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spelling pubmed-38758982014-01-01 PROGgene: gene expression based survival analysis web application for multiple cancers Goswami, Chirayu Pankaj Nakshatri, Harikrishna J Clin Bioinforma Database BACKGROUND: Identification of prognostic mRNA biomarkers has been done for various cancer types. The data that are published from such studies are archived in public repositories. There are hundreds of such datasets available for multiple cancer types in public repositories. Wealth of such data can be utilized to study prognostic implications of mRNA in different cancers as well as in different populations or subtypes of same cancer. DESCRIPTION: We have created a web application that can be used for studying prognostic implications of mRNA biomarkers in a variety of cancers. We have compiled data from public repositories such as GEO, EBI Array Express and The Cancer Genome Atlas for creating this tool. With 64 patient series from 18 cancer types in our database, this tool provides the most comprehensive resource available for survival analysis to date. The tool is called PROGgene and it is available at http://www.compbio.iupui.edu/proggene. CONCLUSIONS: We present this tool as a hypothesis generation tool for researchers to identify potential prognostic mRNA biomarkers to follow up with further research. For this reason, we have kept the web application very simple and straightforward. We believe this tool will be useful in accelerating biomarker discovery in cancer and quickly providing results that may indicate disease-specific prognostic value of specific biomarkers. BioMed Central 2013-10-28 /pmc/articles/PMC3875898/ /pubmed/24165311 http://dx.doi.org/10.1186/2043-9113-3-22 Text en Copyright © 2013 Goswami and Nakshatri; 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 Database
Goswami, Chirayu Pankaj
Nakshatri, Harikrishna
PROGgene: gene expression based survival analysis web application for multiple cancers
title PROGgene: gene expression based survival analysis web application for multiple cancers
title_full PROGgene: gene expression based survival analysis web application for multiple cancers
title_fullStr PROGgene: gene expression based survival analysis web application for multiple cancers
title_full_unstemmed PROGgene: gene expression based survival analysis web application for multiple cancers
title_short PROGgene: gene expression based survival analysis web application for multiple cancers
title_sort proggene: gene expression based survival analysis web application for multiple cancers
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3875898/
https://www.ncbi.nlm.nih.gov/pubmed/24165311
http://dx.doi.org/10.1186/2043-9113-3-22
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