Cervical Cancer, Precancerous Condition
Conditions
Keywords
cervical cancer, cervical intraepithelial neoplasia grade 1, cervical intraepithelial neoplasia grade 2, cervical intraepithelial neoplasia grade 3
Brief summary
RATIONALE: Studying samples of tumor tissue from patients with cancer in the laboratory may help doctors learn more about changes that occur in DNA and identify biomarkers related to cancer. PURPOSE: This research trial is studying gene expression profiling of cervical cancer progression in biopsies and tissue samples from patients with cervical lesions.
Detailed description
OBJECTIVES: * 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.
Interventions
Sponsors
Study design
Eligibility
Inclusion criteria
DISEASE CHARACTERISTICS: * Clinically suspicious malignant or premalignant cervical lesion Criteria Inclusion criteria: * Included subjects will be ≥18 years old. * Included subjects will not be pregnant. * Included subjects will have a negative urine pregnancy test. * Included subjects will be scheduled for colposcopy and/or LEEP treatment at the VGH Women's Clinic. * Included subjects will indicate understanding of the study. * Included subjects will provide informed consent to participate.
Exclusion criteria
* Individuals \<18 years old will be excluded. * Pregnant individuals will be excluded. * Individuals that have had an operation to remove their cervix will be excluded.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Classification of cervical cancer progression at a molecular level using gene expression profiling | — |
| Gene expression changes by microarray | — |
| Set of genes that classify the various grades of cervical cancer/dysplasia | — |
| Comparison of the expression profiles of clinical data to determine how accurately cell lines model the in vivo environment | — |
Countries
Canada