Lexicon for blood-based early detection and screening: BLOODPAC consensus document
- PMID: 39206679
- PMCID: PMC11358766
- DOI: 10.1111/cts.70016
Lexicon for blood-based early detection and screening: BLOODPAC consensus document
Abstract
In the United States, 2.0 million new cancer cases and around 600,000 cancer deaths are estimated to occur in 2024. Early detection gives cancer patients the best chance for treatment success. Currently, cancer screening in the general population is recommended for a limited set of cancers; as a result, most cancer types are not regularly screened. Thus, in recent years, we have seen a wave of novel, non-invasive, single- and multi-cancer detection tests (SCD and MCD), promising detection of cancer signals prior to the onset of symptoms and/or clinical diagnosis. To accelerate the development, access, and adoption of these tests, the Blood Profiling Atlas in Cancer (BLOODPAC) Consortium, a collaborative infrastructure for developing standards and best practices, established the Early Detection & Screening (ED&S) Working Group. The early detection space is in need of consensus around definitions for SCD and MCD tests that harmonize terminology across diverse stakeholders, thereby reducing communication barriers and ultimately advancing the discipline. To this end, the ED&S Working Group compiled a lexicon of terms, chosen based on perceived importance, frequency of use, lack of clarity, and unique challenges in the context of SCD and MCD tests. This lexicon was submitted to the FDA for their feedback, which was incorporated. In this work, we present the first installment of the lexicon, consisting of 14 primary terms, that will be part of an online dictionary and provide a foundation for future projects of BLOODPAC's ED&S Working Group.
© 2024 The Author(s). Clinical and Translational Science published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics.
Conflict of interest statement
Christina A. Clarke is an employee at GRAIL and stockholder at ILMN; Breeana Mitchell is an employee and stockholder at Natera; Girish Putcha is a former employee and equity holder at Freenome; Emma Alme is an employee and shareholder at Guardant Health; Peter Bach is an employee and shareholder at DELFI Diagnostics; Jonathan P. Beer is a shareholder of Bristol Myers Squibb, Novartis and Vertex; Tomasz M. Beer is an employee and shareholder at Exact Sciences and shareholder at Salarius Pharmaceuticals, Osteologic, Osheru; consultant/advisor at Arvinas, AstraZeneca, Sanofi, and GlaxoSmithKline; research funding: Alliance Foundation Trials, Astellas, Adela, Bayer, DELFI Diagnostics, Freenome, and GRAIL, Inc.; Michelle A. Beidelschies is an employee and shareholder at Exact Sciences, consultant/advisor at Cleveland HeartLab, Inc., Patent No. 20110269150 issued; Nancy Krunic is an employee at Novartis; Kathryn Lang is an employee at Freenome; Jerry S.H. Lee is an employee at Ellison Institute, LLC, and equity holder at AtlasXomics, LLC, and miRoncol, LLC; David E. Morgenstern is an employee and shareholder at DELFI Diagnostics and a shareholder at Roche Diagnostics; Victoria M. Raymond is an employee at Guardant Health; Stephanie A. Sanchez is an employee and stockholder at Natera; and Ryan Serra is an employee and stockholder at Quest Diagnostics, and stockholder at Exact Sciences and Illumina. The authors worked together collaboratively to develop consensus opinions and the authors do not have any particular or specific conflict with the work described in this paper, beyond those enumerated in the conflict of interest statement.
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