在胰腺腺癌中精确瘤的综合临床生物逻辑基础设施 - - 在学术环境中实施REDCap的经验
概括
这项研究为胰腺癌患者建立了一个全面的临床生物数据系统,使个性化治疗和推进精确瘤学成为可能. 该基础设施支持数据驱动的管理和生物标志物研究,以改善患者的治疗结果.
科学领域:
- 在瘤学瘤学.
- 生物信息学是一种生物信息学.
- 精准医学是一门精准的医学.
背景情况:
- 胰腺管道腺癌 (PDAC) 是一种具有很低生存率的高度侵袭性癌症.
- 早期检测和个性化治疗策略对于改善患者的治疗结果至关重要.
- 结构化,纵向数据收集对于在PDAC中推进精确瘤学至关重要.
研究的目的:
- 为PDAC患者建立一个综合的临床生物数据生态系统.
- 为了促进全面的患者数据的收集和管理.
- 支持开发PDAC个性化治疗方法.
主要方法:
- 使用REDCap基于网络的数据管理平台进行数据收集.
- 综合的人口,临床,治疗和分子遗传数据.
- 建立了一个试点生物库,用于从患者获得的样本,并开发了3D模型 (有机体,球体).
- 使用机器学习和人工智能进行数据分析.
主要成果:
- 创建了一个结构化的数据库,将临床信息与生物材料联系起来.
- 收集了117名胰腺和胆道瘤患者的纵向数据.
- 记录诊断,治疗和分子遗传数据,将其与治疗反应相关联.
- 该数据库作为预测模型开发和生物标志物验证的基础.
结论:
- 证明了在大学医院环境中全面收集数据的可行性.
- 促进治疗轨迹的监测和精确瘤学原则的实施.
- 突出了能力,物流和数据协调方面的挑战.
- 该计划有可能成为PDAC的国家研究基础设施.
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