TRGAted: A web tool for survival analysis using protein data in the Cancer Genome Atlas. [version 1; referees: 2 approved]

Reverse-phase protein arrays (RPPAs) are a highthroughput approach to protein quantification utilizing an 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 or metastatic samples. This protein-level data ha...

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Main Authors: Nicholas Borcherding, Nicholas L. Bormann, Andrew P. Voigt, Weizhou Zhang
Format: Article
Language:English
Published: F1000 Research Ltd 2018-08-01
Series:F1000Research
Online Access:https://f1000research.com/articles/7-1235/v1
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spelling doaj-e15c617843b04c4d9d7d264f59dde5382020-11-25T03:25:51ZengF1000 Research LtdF1000Research2046-14022018-08-01710.12688/f1000research.15789.117235TRGAted: A web tool for survival analysis using protein data in the Cancer Genome Atlas. [version 1; referees: 2 approved]Nicholas Borcherding0Nicholas L. Bormann1Andrew P. Voigt2Weizhou Zhang3Holden Comprehensive Cancer Center, University of Iowa, Iowa City, Iowa, 52245, USADepartment of Psychiatry, University of Iowa, Iowa City, Iowa, 52245, USAMedical Scientist Training Program, University of Iowa, Iowa City, Iowa, 52245, USAMedical Scientist Training Program, University of Iowa, Iowa City, Iowa, 52245, USAReverse-phase protein arrays (RPPAs) are a highthroughput approach to protein quantification utilizing an 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 or metastatic samples. This 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 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 is open sourced and available on github  and with a tutorial built into the application for assisting users.https://f1000research.com/articles/7-1235/v1
collection DOAJ
language English
format Article
sources DOAJ
author Nicholas Borcherding
Nicholas L. Bormann
Andrew P. Voigt
Weizhou Zhang
spellingShingle Nicholas Borcherding
Nicholas L. Bormann
Andrew P. Voigt
Weizhou Zhang
TRGAted: A web tool for survival analysis using protein data in the Cancer Genome Atlas. [version 1; referees: 2 approved]
F1000Research
author_facet Nicholas Borcherding
Nicholas L. Bormann
Andrew P. Voigt
Weizhou Zhang
author_sort Nicholas Borcherding
title TRGAted: A web tool for survival analysis using protein data in the Cancer Genome Atlas. [version 1; referees: 2 approved]
title_short TRGAted: A web tool for survival analysis using protein data in the Cancer Genome Atlas. [version 1; referees: 2 approved]
title_full TRGAted: A web tool for survival analysis using protein data in the Cancer Genome Atlas. [version 1; referees: 2 approved]
title_fullStr TRGAted: A web tool for survival analysis using protein data in the Cancer Genome Atlas. [version 1; referees: 2 approved]
title_full_unstemmed TRGAted: A web tool for survival analysis using protein data in the Cancer Genome Atlas. [version 1; referees: 2 approved]
title_sort trgated: a web tool for survival analysis using protein data in the cancer genome atlas. [version 1; referees: 2 approved]
publisher F1000 Research Ltd
series F1000Research
issn 2046-1402
publishDate 2018-08-01
description Reverse-phase protein arrays (RPPAs) are a highthroughput approach to protein quantification utilizing an 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 or metastatic samples. This 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 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 is open sourced and available on github  and with a tutorial built into the application for assisting users.
url https://f1000research.com/articles/7-1235/v1
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