Nature Communications (Apr 2016)
A genetic basis for the variation in the vulnerability of cancer to DNA damage
- Brian D. Yard,
- Drew J. Adams,
- Eui Kyu Chie,
- Pablo Tamayo,
- Jessica S. Battaglia,
- Priyanka Gopal,
- Kevin Rogacki,
- Bradley E. Pearson,
- James Phillips,
- Daniel P. Raymond,
- Nathan A. Pennell,
- Francisco Almeida,
- Jaime H. Cheah,
- Paul A. Clemons,
- Alykhan Shamji,
- Craig D. Peacock,
- Stuart L. Schreiber,
- Peter S. Hammerman,
- Mohamed E. Abazeed
Affiliations
- Brian D. Yard
- Department of Translational Hematology Oncology Research, Cleveland Clinic
- Drew J. Adams
- Department of Genetics, Case Western Reserve University
- Eui Kyu Chie
- Department of Translational Hematology Oncology Research, Cleveland Clinic
- Pablo Tamayo
- Broad Institute of MIT and Harvard
- Jessica S. Battaglia
- Department of Translational Hematology Oncology Research, Cleveland Clinic
- Priyanka Gopal
- Department of Translational Hematology Oncology Research, Cleveland Clinic
- Kevin Rogacki
- Department of Translational Hematology Oncology Research, Cleveland Clinic
- Bradley E. Pearson
- Department of Medical Oncology, Dana-Farber Cancer Institute
- James Phillips
- Department of Translational Hematology Oncology Research, Cleveland Clinic
- Daniel P. Raymond
- Department of Thoracic and Cardiovascular Surgery, Cleveland Clinic
- Nathan A. Pennell
- Department of Hematology and Medical Oncology, Cleveland Clinic
- Francisco Almeida
- Department of Pulmonary Medicine, Cleveland Clinic
- Jaime H. Cheah
- Broad Institute of MIT and Harvard
- Paul A. Clemons
- Broad Institute of MIT and Harvard
- Alykhan Shamji
- Broad Institute of MIT and Harvard
- Craig D. Peacock
- Department of Translational Hematology Oncology Research, Cleveland Clinic
- Stuart L. Schreiber
- Broad Institute of MIT and Harvard
- Peter S. Hammerman
- Broad Institute of MIT and Harvard
- Mohamed E. Abazeed
- Department of Translational Hematology Oncology Research, Cleveland Clinic
- DOI
- https://doi.org/10.1038/ncomms11428
- Journal volume & issue
-
Vol. 7,
no. 1
pp. 1 – 14
Abstract
The variability in patient response to radiation treatment is difficult to predict. Here, using more than 500 cell lines the authors measure response to radiation exposure and a large panel of compounds, and show that response can be predicted by genetic alterations of the cells.
