跳至主要内容
临床试验/NCT00629577
NCT00629577终止1 期

Ex Vivo Gene Expression Profiling of Cervical Cancer Progression in Biopsies And Tissue Samples From Patients With Cervical Lesions

British Columbia Cancer Agency2 个研究点 分布在 1 个国家目标入组 50 人开始时间: 2006年9月最近更新:
适应症

试验速览

阶段
1 期
状态
终止
入组人数
50
试验地点
2
主要终点
Classification of cervical cancer progression at a molecular level using gene expression profiling

研究概览

简要总结

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.

详细描述

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.

研究设计

研究类型
Interventional
分配方式
Na
干预模型
Single Group
主要目的
Diagnostic
盲法
None

入排标准

年龄范围
19 Years 至 —(Adult, Older Adult)
性别
Female
接受健康志愿者

入选标准

  • 未提供

排除标准

  • 未提供

结局指标

主要结局

Classification of cervical cancer progression at a molecular level using gene expression profiling

Gene expression changes by microarray

Comparison of the expression profiles of clinical data to determine how accurately cell lines model the in vivo environment

Set of genes that classify the various grades of cervical cancer/dysplasia

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Sponsor

研究点 (2)

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