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TRGAted: A web tool for survival analysis using protein data in the Cancer Genome Atlas.

Reverse-phase protein arrays (RPPAs) are a highthroughput approach to protein quantification utilizing antibody-based micro-to-nano scale dot blot. Within the Cancer Genome Atlas (TCGA), RPPAs were used to quantify over 200 proteins in 8,167 tumor and metastatic samples. Protein-level data has parti...

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Detalles Bibliográficos
Autores principales: Borcherding, Nicholas, Bormann, Nicholas L., Voigt, Andrew P., Zhang, Weizhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6173115/
https://www.ncbi.nlm.nih.gov/pubmed/30345029
http://dx.doi.org/10.12688/f1000research.15789.2
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author Borcherding, Nicholas
Bormann, Nicholas L.
Voigt, Andrew P.
Zhang, Weizhou
author_facet Borcherding, Nicholas
Bormann, Nicholas L.
Voigt, Andrew P.
Zhang, Weizhou
author_sort Borcherding, Nicholas
collection PubMed
description Reverse-phase protein arrays (RPPAs) are a highthroughput approach to protein quantification utilizing antibody-based micro-to-nano scale dot blot. Within the Cancer Genome Atlas (TCGA), RPPAs were used to quantify over 200 proteins in 8,167 tumor and metastatic samples. Protein-level data has particular advantages in assessing putative prognostic or therapeutic targets in tumors. However, many of the available pipelines do not allow for the partitioning of clinical and RPPA information to make meaningful conclusions. We developed a cloud-based application, TRGAted to enable researchers to better examine patient survival based on single or multiple proteins across 31 cancer types in the TCGA. TRGAted contains up-to-date overall survival, disease-specific survival, disease-free interval and progression-free interval information. Furthermore, survival information for primary tumor samples can be stratified based on gender, age, tumor stage, histological type, and subtype, allowing for highly adaptive and intuitive user experience. The code and processed data are open sourced and available on github and contains a tutorial built into the application for assisting users.
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spelling pubmed-61731152018-10-19 TRGAted: A web tool for survival analysis using protein data in the Cancer Genome Atlas. Borcherding, Nicholas Bormann, Nicholas L. Voigt, Andrew P. Zhang, Weizhou F1000Res Software Tool Article Reverse-phase protein arrays (RPPAs) are a highthroughput approach to protein quantification utilizing antibody-based micro-to-nano scale dot blot. Within the Cancer Genome Atlas (TCGA), RPPAs were used to quantify over 200 proteins in 8,167 tumor and metastatic samples. Protein-level data has particular advantages in assessing putative prognostic or therapeutic targets in tumors. However, many of the available pipelines do not allow for the partitioning of clinical and RPPA information to make meaningful conclusions. We developed a cloud-based application, TRGAted to enable researchers to better examine patient survival based on single or multiple proteins across 31 cancer types in the TCGA. TRGAted contains up-to-date overall survival, disease-specific survival, disease-free interval and progression-free interval information. Furthermore, survival information for primary tumor samples can be stratified based on gender, age, tumor stage, histological type, and subtype, allowing for highly adaptive and intuitive user experience. The code and processed data are open sourced and available on github and contains a tutorial built into the application for assisting users. F1000 Research Limited 2018-10-01 /pmc/articles/PMC6173115/ /pubmed/30345029 http://dx.doi.org/10.12688/f1000research.15789.2 Text en Copyright: © 2018 Borcherding N et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software Tool Article
Borcherding, Nicholas
Bormann, Nicholas L.
Voigt, Andrew P.
Zhang, Weizhou
TRGAted: A web tool for survival analysis using protein data in the Cancer Genome Atlas.
title TRGAted: A web tool for survival analysis using protein data in the Cancer Genome Atlas.
title_full TRGAted: A web tool for survival analysis using protein data in the Cancer Genome Atlas.
title_fullStr TRGAted: A web tool for survival analysis using protein data in the Cancer Genome Atlas.
title_full_unstemmed TRGAted: A web tool for survival analysis using protein data in the Cancer Genome Atlas.
title_short TRGAted: A web tool for survival analysis using protein data in the Cancer Genome Atlas.
title_sort trgated: a web tool for survival analysis using protein data in the cancer genome atlas.
topic Software Tool Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6173115/
https://www.ncbi.nlm.nih.gov/pubmed/30345029
http://dx.doi.org/10.12688/f1000research.15789.2
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