Radiation-Specific Clinical Data Should Be Included in Existing Large-Scale Genomic Datasets

Int J Radiat Oncol Biol Phys. 2017 May 1;98(1):8-10. doi: 10.1016/j.ijrobp.2017.01.023. Epub 2017 Jan 16.

Authors

William S Chen¹, Jeffrey P Townsend², James B Yu³

Affiliations

¹ Yale School of Medicine, New Haven, Connecticut.
² Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut; Yale Cancer Center, New Haven, Connecticut.
³ Yale School of Medicine, New Haven, Connecticut; Yale Cancer Center, New Haven, Connecticut; Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center at Yale, New Haven, Connecticut. Electronic address: james.b.yu@yale.edu.

PMID: 28587055
DOI: 10.1016/j.ijrobp.2017.01.023

No abstract available

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Brain Neoplasms / pathology
Brain Neoplasms / radiotherapy
Breast Neoplasms / pathology
Breast Neoplasms / radiotherapy
Datasets as Topic*
Female
Genomics / statistics & numerical data*
Head and Neck Neoplasms / pathology
Head and Neck Neoplasms / radiotherapy
Humans
Lung Neoplasms / pathology
Lung Neoplasms / radiotherapy
Male
Neoplasms / genetics*
Neoplasms / pathology
Neoplasms / radiotherapy*
Prostatic Neoplasms / pathology
Prostatic Neoplasms / radiotherapy
Radiotherapy / statistics & numerical data
Urinary Bladder Neoplasms / pathology
Urinary Bladder Neoplasms / radiotherapy
Uterine Neoplasms / pathology
Uterine Neoplasms / radiotherapy