Published April 30, 2020 | Version v1.0

TCGA Chemotherapy Response Dataset

  • 1. Med Uni Innsbruck
  • 2. Uni Innsbruck

Contributors

Contact person (2):

Description

Dataset on chemotherapeutic drug responses in TCGA cancer patients, cross-referenced for a hit in TCIA.at database, consisting of clinical (TCGA), cancer tissue gene-expression (TCGA) and tumor-immunome (TCIA) features. The dataset consists of 5 common chemotherapy agents, 3 CRC agents (FOLFOX, 5FU, Oxaliplatin) and 2 Lung agents (Carboplatin, Cisplatin). FOLFOX as a combinational therapy or regimen, was compiled from timings of monotherapies given to patients and as such is a novel dataset derived from TCGA data. FOLFOX dataset is primarily firstline treatment, while other drugs are not to be interpreted as firstline treatments. Drug datasets are individually available in own CSV files.

Citation
Dalibor Hrg, Balthasar Huber, Lukas A. Huber. (2020). TCGA Chemotherapy Response Dataset. Zenodo. http://doi.org/10.5281/zenodo.3719291

The results here are in whole or part based upon data generated by the TCGA Research Network: https://www.cancer.gov/tcga.

License 
CC BY-SA 4.0 International https://creativecommons.org/licenses/by-sa/4.0. Authors take no liability for any use of this data.

Contributions
D. Hrg and B. Huber acknowledge major and equal work effort: data understanding, data science and dataset preparation (monotherapies and FOLFOX); L. A. Huber: help with dictionary of drug names and curration/cleaning of FOLFOX entries, clinical validation.

Contact & Maintenance
dalibor.hrg@gmail.com
dalibor.hrg@i-med.ac.at

Notes

This work was partially funded by EU ERC Advanced Grant EPIC 786295 as a collaboration effort between Medical University of Innsbruck and University of Innsbruck.

Files

all_csv.zip

Files (2.0 MB)

Name Size Download all
md5:bd7096460ca5919c5ba51c021fb7ae2f
547.0 kB Preview Download
md5:22dc37a701b7d6afe73dec31ca3e026b
331.0 kB Preview Download
md5:cfab3dc8abb8a13823d0057bc8dd4e77
191.7 kB Preview Download
md5:a52b748e18c231eb8f2d3cc051e10936
240.6 kB Preview Download
md5:72732fedccdb207be1c5170216da4b8f
310.5 kB Preview Download
md5:ee0127d668d33b37563149b62e540403
372.4 kB Preview Download

Additional details

Funding

European Commission
EPIC - Enabling Precision Immuno-oncology in Colorectal cancer 786295