A multi-cancer early detection blood test using machine learning detects early-stage cancers lacking USPSTF-recommended screening

一种利用机器学习的多癌种早期检测血液测试,可以检测出美国预防服务工作组(USPSTF)推荐筛查方法无法涵盖的早期癌症。

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Abstract

US Preventive Services Task Force (USPSTF) guidelines recommend single-cancer screening for select cancers (e.g., breast, cervical, colorectal, lung). Advances in genome sequencing and machine learning have facilitated the development of blood-based multi-cancer early detection (MCED) tests intended to complement single-cancer screening. MCED tests can interrogate circulating cell-free DNA to detect a shared cancer signal across multiple tumor types. We report real-world experience with an MCED test that detected cancer signals in three individuals subsequently diagnosed with cancers of the ovary, kidney, and head/neck that lack USPSTF-recommended screening. These cases illustrate the potential of MCED tests to detect early-stage cancers amenable to cure.

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