摘要
背景:精密医学为癌症患者提出了定制的医疗保健。完成此任务的重要方法是将患者分为对治疗有反应的患者和对治疗无反应的患者。为此,已经寻求了诊断和预后生物标志物。 目的:这篇综述着重于在技术发展和为精密医学积累数据的情况下探索生物标志物发现的新颖方法和概念。 结果:传统的机制驱动的功能生物标记物具有可操作的见解的优势,而数据驱动的计算生物标记物可以满足更多需求,尤其是在不同层的分子(例如遗传突变,mRNA,蛋白质等)上具有大量数据的情况下。基于大量技术积累。此外,以技术为驱动的液体活检生物标志物有望提高患者的生存率。在这些方面,生物标志物发现的发展正在促进对癌症的了解,帮助患者分层并提高患者生存率。 结论:机制,数据和技术驱动的生物标志物发现的最新发展正在实现精密医学的目标并促进生物标志物的临床应用。同时,癌症的复杂性需要更有效的生物标志物,这可以通过多种类型生物标志物的全面整合以及对癌症的深刻理解来实现。
关键词: 精密医学,诊断和预后生物标志物,癌症异质性,综合分析,网络,早期癌症检测
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