Grant: Operating Grant - PA: Cancer Research (bridge funding)
University of British Columbia
$100,000.00
Static and Dynamic 3D Computer Model of Pre-Invasive Neoplastic Epithelial Tissues
FY 2008-09
Summary
Understanding the phenotypic changes of preinvasie epithelial cancer development is key for the detection, prevention and treatement of cancer at his earliest stages. Due to the advances in optical imaging, our ability to detect precancerous lesions has greatly increased in the last 15 years. Our understanding of the epithelial preneoplastic process has improved as the amount of histopathological phenotypic and molecular data available has increased. However, we are lacking a mathematical and analytical molecular model to integrate the spatial and temporal multi-scale changes and events driving a normal differentiated epithelium into a dysplastic lesion phenotype against measured data and eventually towards an undifferentiated and invasive cancer. The goal of this application is to develop and test an initial in silaco model of this process.
Department
Program
Operating Grant - PA: Cancer Research (bridge funding)
Recipient
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
CIHR Funding Decisions Database
As published
Id
177869
Name
Macaulay Calum E
Region
British Columbia
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Cancer Research
Theme2
Biomedical
Prcname2
Biomedical Engineering
Projecttitle
Static and Dynamic 3D Computer Model of Pre-Invasive Neoplastic Epithelial Tissues
Programtype2
Operating Grants
Orgnameinp2
University of British Columbia
Cihramount2
$100,000
Cihrequipment2
$0
Programname2
Operating Grant - PA: Cancer Research (bridge funding)
Keyworddelim
3d Computer Model; Cell Sociology; Oral Mucosa; Pre-Invasive Biology Neoplasia; Quantitative Tissue Phenotype; Tissue System Biology
Abstract
Understanding the phenotypic changes of preinvasie epithelial cancer development is key for the detection, prevention and treatement of cancer at his earliest stages. Due to the advances in optical imaging, our ability to detect precancerous lesions has greatly increased in the last 15 years. Our understanding of the epithelial preneoplastic process has improved as the amount of histopathological phenotypic and molecular data available has increased. However, we are lacking a mathematical and analytical molecular model to integrate the spatial and temporal multi-scale changes and events driving a normal differentiated epithelium into a dysplastic lesion phenotype against measured data and eventually towards an undifferentiated and invasive cancer. The goal of this application is to develop and test an initial in silaco model of this process.
Competitiondate
200809
Approvedterm2
1 yr 0 mth
Pinamesdelim
Macaulay, Calum E
Approvedterm
1 an 0 mois
Cihrcontribution2
~ $100,000~ $0~
