跳至主要内容
临床试验/NCT01876303
NCT01876303已完成不适用

Genetic Epidemiology of Ewing's Sarcoma

Children's Oncology Group1 个研究点 分布在 1 个国家目标入组 1,650 人开始时间: 2012年12月最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
1,650
试验地点
1
主要终点
Main effect of gene polymorphisms

研究概览

简要总结

This clinical trial studies genetic biomarkers from saliva samples in patients with Ewing sarcoma. Studying samples of saliva from patients with cancer in the laboratory may help doctors learn more about changes that occur in deoxyribonucleic acid (DNA) and identify biomarkers related to cancer.

详细描述

PRIMARY OBJECTIVES:

I. To determine the association between the length of Ewing sarcoma breakpoint region 1-Friend leukemia virus integration 1 (EWS-FLI1) fusion protein binding sites (microsatellites) and risk of Ewing's sarcoma (ES).

II. To determine the frequency and commonality of Caucasian ancestral markers in cases of ES self-identified as non-Caucasian (African-American, Asian, Hispanic).

III. To determine the association between genomic variants in ES-related genes and hernia development (i.e. the integrin signaling pathway) and risk of ES.

OUTLINE:

研究设计

研究类型
Observational
观察模型
Family Based
时间视角
Retrospective

入排标准

性别
All
接受健康志愿者

入选标准

  • The patient is enrolled on ACCRN07
  • The patient has a diagnosis of Ewing Sarcoma (International Classification of Diseases [ICD] code morphology 9260; topography C40.0-C41.9, C76.0-C76.8, C80.9) and is registered with Children's Oncology Group (COG) by a North American member institution
  • The patient must be diagnosed with Ewing sarcoma between December 24, 2007 and December 31, 2015
  • The patient must have at least one biological parent alive and willing to participate
  • All questionnaire respondents must understand English or Spanish
  • Concomitant treatment on a therapeutic trial is not required

排除标准

  • 未提供

结局指标

主要结局

Main effect of gene polymorphisms

时间窗: Up to 5 years

Risk ratios (RR) for the main effect of gene polymorphisms will be calculated using log-linear models. RRs and 95% confidence intervals for the gene-environment interaction are calculated by stratifying the likelihood according to case exposure.

次要结局

未报告次要终点

研究者

申办方类型
Network
责任方
Sponsor

研究点 (1)

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