Ex Vivo Gene Expression Profiling of Cervical Cancer Progression in Biopsies And Tissue Samples From Patients With Cervical Lesions
- Classify cervical cancer progression at a molecular level using gene expression
profiling generated from expression microarrays.
- Profile gene expression changes of dysplasia and early carcinoma of uterine cervical
tissue at a molecular level using expression microarrays.
- Define a set of genes that classify the various grades of cervical cancer/dysplasia at
a molecular level.
- Compare the expression profiles of clinical data to determine how accurately cell lines
model the in vivo environment.
OUTLINE: Patients undergo colposcopy and a cervical smear is taken for flow cytometry
analysis. Patients also undergo 2 biopsies from one clinically abnormal or normal site.
Tissue samples are analyzed by gene expression profiling using human expression microarrays
containing approximately 40,000 unique sequences. Data analysis consists of defining a set
of genes, containing new targets for biomarkers, that classify the biopsies into 3 grades.
Intervention Model: Single Group Assignment, Masking: Open Label, Primary Purpose: Diagnostic
Classification of cervical cancer progression at a molecular level using gene expression profiling
Thomas G Ehlen, M.D.
BC Cancer Agency, Vancouver General Hospital
Canada: Canadian Institutes of Health Research