A multi-cancer early detection blood test using machine learning detects early-stage cancers lacking USPSTF-recommended screening.
NPJ Precis Oncol
; 8(1): 91, 2024 Apr 17.
Article
en En
| MEDLINE
| ID: mdl-38632333
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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1
Colección:
01-internacional
Base de datos:
MEDLINE
Idioma:
En
Revista:
NPJ Precis Oncol
Año:
2024
Tipo del documento:
Article
País de afiliación:
Estados Unidos