The impact of phenotypic switching on glioblastoma growth and invasion

PLoS Computational Biology

Volumn 8, Issue 6, 2012, Pages

  Gerlee, Philip ^a,b   Nelander, Sven ^a  

^a Institute of Medicine   (Sweden)

^b CHALMERS UNIVERSITY OF TECHNOLOGY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; CELL PROLIFERATION; ECONOMIC AND SOCIAL EFFECTS; LINEAR EQUATIONS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

BRAIN TISSUE; BRAIN TUMORS; CELL MIGRATION; CELL PROLIFERATION RATE; GLIOBLASTOMAS; IN-VIVO IMAGING; KEY FACTORS; MACROSCOPIC LEVELS; MICROSCOPIC LEVELS; PHENOTYPIC SWITCHING;

TUMORS;

ANALYTIC METHOD; APOPTOSIS; ARTICLE; CANCER GROWTH; CANCER INVASION; CELL LEVEL; CELL SPREADING; GLIOBLASTOMA; GLIOMA CELL; GROWTH RATE; MATHEMATICAL COMPUTING; PHENOTYPIC VARIATION; REACTION ANALYSIS; SIMULATION; STOCHASTIC MODEL; TUMOR VOLUME; BIOLOGICAL MODEL; BIOLOGY; BRAIN TUMOR; CELL MOTION; CELL PROLIFERATION; COMPUTER SIMULATION; DISEASE COURSE; HUMAN; PATHOLOGY; PHENOTYPE; PROGNOSIS; STATISTICS;

APOPTOSIS; BRAIN NEOPLASMS; CELL MOVEMENT; CELL PROLIFERATION; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DISEASE PROGRESSION; GLIOBLASTOMA; HUMANS; MODELS, BIOLOGICAL; NEOPLASM INVASIVENESS; PHENOTYPE; PROGNOSIS; STOCHASTIC PROCESSES;

EID: 84864044363     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002556     Document Type: Article

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