Contrasting analytical and data-driven frameworks for radiogenomic modeling of normal tissue toxicities in prostate cancer

Radiotherapy and Oncology

Volumn 115, Issue 1, 2015, Pages 107-113

  Coates, James ^a   Jeyaseelan, Asha K ^a   Ybarra, Norma ^a   David, Marc ^a   Faria, Sergio ^a   Souhami, Luis ^a   Cury, Fabio ^a   Duclos, Marie ^a   El Naqa, Issam ^a  

^a MCGILL UNIVERSITY HEALTH CENTRE   (Canada)

Author keywords

Copy number variations; Normal tissue toxicity; Prostate cancer; Radiogenomic modeling; Radiotherapy

Indexed keywords

XRCC1 PROTEIN;

AGED; ARTICLE; CANCER RADIOTHERAPY; COPY NUMBER VARIATION; DISEASE SEVERITY; DNA REPAIR; DOSIMETRY; ERECTILE DYSFUNCTION; FOLLOW UP; GENETIC VARIABILITY; GENOTYPE; HUMAN; HUMAN TISSUE; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; PREDICTION; PRIORITY JOURNAL; PROSTATE CANCER; RADIATION INJURY; RECTUM HEMORRHAGE; RETROSPECTIVE STUDY; RISK FACTOR; SINGLE NUCLEOTIDE POLYMORPHISM; TUMOR GENE; BIOLOGICAL MODEL; GASTROINTESTINAL HEMORRHAGE; GENOMICS; INJURIES; PROBABILITY; PROSTATIC NEOPLASMS; RADIATION INJURIES; RADIOMETRY; RECTUM; RISK; STATISTICAL MODEL;

AGED; DNA COPY NUMBER VARIATIONS; ERECTILE DYSFUNCTION; GASTROINTESTINAL HEMORRHAGE; GENOMICS; GENOTYPE; HUMANS; LOGISTIC MODELS; MALE; MODELS, BIOLOGICAL; POLYMORPHISM, SINGLE NUCLEOTIDE; PROBABILITY; PROSTATIC NEOPLASMS; RADIATION INJURIES; RADIOMETRY; RECTUM; RETROSPECTIVE STUDIES; RISK;

EID: 84930765982     PISSN: 01678140     EISSN: 18790887     Source Type: Journal    
DOI: 10.1016/j.radonc.2015.03.005     Document Type: Article

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