From cells to tissue: How cell scale heterogeneity impacts glioblastoma growth and treatment response

Glioblastomas are aggressive primary brain tumors known for their inter- and intratumor heterogeneity. This disease is uniformly fatal, with intratumor heterogeneity the major reason for treatment failure and recurrence. Just like the nature vs nurture debate, heterogeneity can arise from intrinsic...

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Veröffentlicht in:	PLoS computational biology 2020-02, Vol.16 (2), p.e1007672-e1007672
Hauptverfasser:	Gallaher, Jill A, Massey, Susan C, Hawkins-Daarud, Andrea, Noticewala, Sonal S, Rockne, Russell C, Johnston, Sandra K, Gonzalez-Cuyar, Luis, Juliano, Joseph, Gil, Orlando, Swanson, Kristin R, Canoll, Peter, Anderson, Alexander R A
Format:	Artikel
Sprache:	eng
Schlagworte:	Animal models Animals Biology Biology and Life Sciences Brain cancer Brain Neoplasms - diagnostic imaging Brain Neoplasms - physiopathology Brain tumors Cancer therapies Cell density Cell Proliferation Computational Biology Computer Simulation Diagnostic imaging Diseases Funding Glioblastoma Glioblastoma - diagnostic imaging Glioblastoma - physiopathology Glioblastomas Gliomas Growth factors Health aspects Heterogeneity Histology Humans Investigations Kinetics Magnetic Resonance Imaging Male Mathematical models Medical imaging Medicine and Health Sciences Mice, Inbred NOD Models, Theoretical Nature Neuroimaging Oncology Parameters Partial differential equations Pathology Phenotype Phenotypes Pretreatment Rats Rats, Sprague-Dawley Reason Recurrence (Disease) Research and Analysis Methods Surgery Time Tumors
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