癌症治疗的个人方法:二期临床试验的元分析
Mikhail B Potievskiy1, Elena P Zharova1, Lidia A Nekrasova1
1FSBI "National Medical Research Radiological Center" of the Ministry of Health of the Russian Federation (FSBI "NMRRC"), Obninsk, Russia.
使用基因组数据进行个性化癌症治疗显著提高了反应率和生存结果. 这种方法增强了未来癌症护理策略的治疗潜力.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 临床试验 临床试验
背景情况:
- 之前没有任何元分析全面评估了在II期试验中个性化癌症药物治疗的结果.
- 专注于向治疗,免疫治疗和多剂治疗.
研究的目的:
- 进行基于个性化基因组学与非个性化癌症治疗结果的系统审查和元分析.
- 评估个性化对患者反应和生存的影响.
主要方法:
- 在PubMed系统搜索二期临床试验 (2010-2021年).
- 包括成年人的化疗,免疫疗法和向治疗试验.
- 遵循PRISMA指南;使用比例元分析,随机效应模型和元回归来提取和分析数据.
主要成果:
- 分析了50项研究 (81个手臂,6536名患者).
- 个性化治疗臂显示出显著更高的响应率 (RR) 和1年无进展生存率 (PFS).
- 个性化治疗臂也表现出更高的PFS中位数和整体存活期 (OS).
结论:
- 基因组数据驱动的个性化癌症治疗提供了显著的好处.
- 个性化积极影响关键治疗结果,包括RR,PFS和OS.
- 这种方法在推进癌症治疗方面具有有前途的治疗潜力.
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