Pan-cancer prediction of radiotherapy benefit using genomic-adjusted radiation dose (GARD): a cohort-based pooled analysis.

Saved in:
Bibliographic Details
Title: Pan-cancer prediction of radiotherapy benefit using genomic-adjusted radiation dose (GARD): a cohort-based pooled analysis.
Authors: Scott JG; Translational Hematology and Oncology Research, Radiation Oncology Department, Cleveland Clinic, Cleveland, OH, USA; Systems Biology and Bioinformatics, Case Western Reserve University, Cleveland, OH, USA., Sedor G; School of Medicine, Case Western Reserve University, Cleveland, OH, USA., Ellsworth P; School of Medicine, Case Western Reserve University, Cleveland, OH, USA., Scarborough JA; Translational Hematology and Oncology Research, Radiation Oncology Department, Cleveland Clinic, Cleveland, OH, USA; Systems Biology and Bioinformatics, Case Western Reserve University, Cleveland, OH, USA., Ahmed KA; Department of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, USA; Department of Oncologic Sciences, University of South Florida College of Medicine, Tampa, FL, USA., Oliver DE; Department of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, USA; Department of Oncologic Sciences, University of South Florida College of Medicine, Tampa, FL, USA., Eschrich SA; Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL, USA; Department of Oncologic Sciences, University of South Florida College of Medicine, Tampa, FL, USA., Kattan MW; Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA., Torres-Roca JF; Department of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, USA; Department of Oncologic Sciences, University of South Florida College of Medicine, Tampa, FL, USA. Electronic address: Javier.torresroca@moffitt.org.
Source: The Lancet. Oncology [Lancet Oncol] 2021 Sep; Vol. 22 (9), pp. 1221-1229. Date of Electronic Publication: 2021 Aug 04.
Publication Type: Journal Article
Journal Info: Publisher: Lancet Pub. Group Country of Publication: England NLM ID: 100957246 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1474-5488 (Electronic) Linking ISSN: 14702045 NLM ISO Abbreviation: Lancet Oncol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1474-5488
DOI:10.1016/S1470-2045(21)00347-8