Simulating brain tumor heterogeneity with a multiscale agent-based model: Linking molecular signatures, phenotypes and expansion rate

Mathematical and Computer Modelling

Volumn 49, Issue 1-2, 2009, Pages 307-319

  Zhang, Le ^a   Strouthos, Costas G ^b   Wang, Zhihui ^b   Deisboeck, Thomas S ^b  

^a MICHIGAN TECHNOLOGICAL UNIVERSITY   (United States)

^b MASSACHUSETTS GENERAL HOSPITAL   (United States)

Author keywords

Agent based model; Cancer heterogeneity; Epidermal growth factor receptor; Glioma

Indexed keywords

ADHESION; BIOACTIVITY; CELL ADHESION; CELLS; CYTOLOGY; PEPTIDES; POPULATION STATISTICS; THREE DIMENSIONAL; TUMORS;

ADDED VALUES; BIO-CHEMICALS; BRAIN TUMOR MODELS; BRAIN TUMORS; CANCER HETEROGENEITY; CLONAL POPULATIONS; COMPUTATIONAL STUDIES; DATA DISPLAYS; EPIDERMAL GROWTH FACTOR RECEPTOR; EPIDERMAL GROWTH FACTOR RECEPTORS; EXPANSION RATES; GLIOMA; GLIOMA CELLS; GROWTH PATTERNS; IMPLICIT TREATMENTS; IN SILICO; IN VITRO; IN-VIVO; MICROENVIRONMENT; MOLECULAR PROFILES; MOLECULAR SIGNATURES; MULTISCALE; PHENOTYPIC SWITCHES; PROTEIN INTERACTION NETWORKS; REGIONAL IMPACTS; TEMPORAL DIVERSITIES; TUMOR CELL ADHESIONS; TUMOR PROGRESSIONS; TUMORIGENESIS;

CELL GROWTH;

EID: 55549113888     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mcm.2008.05.011     Document Type: Article

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