Mathematical modeling of pdgf-driven glioblastoma reveals optimized radiation dosing schedules

Cell

Volumn 156, Issue 3, 2014, Pages 603-616

  Leder, Kevin ^a   Pitter, Ken ^b   Laplant, Quincey ^b   Hambardzumyan, Dolores ^c   Ross, Brian D ^d   Chan, Timothy A ^b   Holland, Eric C ^e   Michor, Franziska ^f,g  

^a University of Minnesota   (United States)

^b MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

^c Departments of Neuroscience and Neurosurgery   (United States)

^d UNIVERSITY OF MICHIGAN   (United States)

^e UNIVERSITY OF WASHINGTON   (United States)

^f DANA FARBER CANCER INSTITUTE   (United States)

^g HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PLATELET DERIVED GROWTH FACTOR; TRANSCRIPTION FACTOR E2F1;

ANIMAL CELL; ANIMAL MODEL; ARTICLE; CANCER RADIOTHERAPY; CANCER SURVIVAL; CELL HETEROGENEITY; CLINICAL EFFECTIVENESS; CONTROLLED STUDY; GLIOBLASTOMA; GLIOMA CELL; HUMAN; HUMAN CELL; MATHEMATICAL MODEL; MOLECULAR DYNAMICS; MOUSE; NONHUMAN; PRIORITY JOURNAL; RADIATION DOSE FRACTIONATION; RADIATION RESPONSE; RADIOSENSITIVITY; ANIMAL EXPERIMENT; BIOLUMINESCENCE; LETHARGY; OVERALL SURVIVAL; PROMOTER REGION; RADIATION DOSE; RADIATION EXPOSURE; SEIZURE; SURVIVAL TIME; TUMOR VOLUME; WEIGHT REDUCTION;

ANIMALS; BRAIN NEOPLASMS; GLIOBLASTOMA; HUMANS; MICE; MODELS, BIOLOGICAL; RADIATION DOSAGE;

EID: 84893454645     PISSN: 00928674     EISSN: 10974172     Source Type: Journal    
DOI: 10.1016/j.cell.2013.12.029     Document Type: Article

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