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改变癌症查范式:开发多种生物标志物类方法,用于多种癌症早期检测测试

John B Kisiel¹, Jon O Ebbert¹, William R Taylor¹

¹Mayo Clinic, Rochester, MN 55905, USA.

Life (Basel, Switzerland)

|August 29, 2024

概括

早期癌症检测的新血液测试显示出有希望. 这些多种癌症早期检测 (MCED) 测试可以改善查,特别是对于缺乏当前选择的癌症以及对不坚持的个体.

科学领域:

在瘤学瘤学.
生物技术是生物技术.
机器学习机器学习

背景情况:

目前的癌症查指南涵盖了有限的癌症类型,现有方法的准确性和有效性各不相同.
通过查观察到与癌症相关的死亡率减少,但对于某些癌症和患者群体仍然存在差距.
高通量技术和机器学习的进步使新的基于血液的多种癌症早期检测 (MCED) 测试成为可能.

研究的目的:

讨论MCED测试的研究设计和开发的关键考虑因素.
举一个多生物标志物MCED测试的发育路径示例.
为MCED测试后的诊断解决方案提出临床算法.

主要方法:

审查现有查计划的局限性和技术进步.
一个新的多生物标志物MCED测试的发展途径的描述.
提出了一种诊断算法,将MCED结果与成像进行整合.

主要成果:

MCED测试提供了一种对标准查的补充方法.
这些测试可能会扩大对服务不足的人群的查可用性.
概述了MCED测试开发和临床整合的框架.

结论:

MCED测试代表了癌症早期检测的重大进步.
它们有可能补充现有的查,并解决未满足的需求.
进一步开发和验证对于临床实施至关重要.

关键词:

通过DNA甲基化.对DNA突变分析进行分析.生物标志物生物标志物没有细胞的核酸.早期发现癌症的早期检测液体活检活检液体活检瘤是一个瘤.

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