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Background: Multi-Cancer tests (MCTs) hold potential to detect cancer across multiple sites and some predict the origin of the cancer signal. Understanding stakeholder preferences for MCTs could help to develop appealing MCTs, encouraging their adoption.
Methods: Discrete Choice Experiments (DCEs) conducted online in England.
Results: GPs (n = 251) and the general public (n = 1005) preferred MCTs that maximised negative predictive value, positive predictive value, and could test for a larger number of cancer sites. A reduction of the NPV of 4.0% was balanced by a 12.5% increase in the PPV for people and a 32.5% increase in PPV for GPs. People from ethnic minority backgrounds placed less importance on whether MCTs can detect multiple cancers. People with more knowledge and experience of cancer placed substantial importance on the MCT being able to detect cancer at an early stage. Both GPs and members of the public preferred the MCT reported in the SYMPLIFY study to FIT, PSA, and CA125, and preferred the SYMPLIFY MCT to 91% (GPs) and 95% (people) of 2048 simulated MCTs.
Conclusions: These findings provide a basis for designing clinical implementation strategies for MCTs, according to their performance characteristics.
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http://dx.doi.org/10.1038/s41416-025-03063-9 | DOI Listing |
Front Oncol
August 2025
Department of Radiation Medicine, Oregon Health & Science University, Portland, OR, United States.
Purpose/objectives: Cancer screening continues to be a major challenge, with reliable tests only being available for very few cancers. Multi-cancer early detection (MCED) genomic tests are being developed that allow for blood-based screening of multiple cancers simultaneously. The PATHFINDER study was a multi-institution prospective cohort study in healthy participants over the age of 50 years (no cancer history, or history of treated cancer > 3 years prior), investigating the feasibility of the Galleri (GRAIL, LLC) cfDNA methylation MCED blood test.
View Article and Find Full Text PDFTechnol Cancer Res Treat
September 2025
Society for Cancer Research, Arlesheim, Switzerland.
IntroductionThe ability to detect multiple cancer types with high sensitivity has the potential to reduce diagnostic delays and improve treatment outcomes. Diagnostic patterning tests (DPTs), which utilize self-organized patterns in drying body fluids, are a relatively unexplored diagnostic method. This systematic review and meta-analysis assessed their accuracy for multi-cancer detection.
View Article and Find Full Text PDFJCO Oncol Pract
August 2025
O'Neal Comprehensive Cancer Center at UAB, Birmingham, AL.
Purpose: Multi-cancer early detection (MCED) tests are a novel approach to cancer screening, offering potential to detect multiple cancers through a single blood draw. This study explored the barriers and facilitators to buy-in of MCED tests and to develop a communication tool to support informed decision making.
Methods: We conducted a cross-sectional qualitative study using grounded theory.
Cancer Epidemiol Biomarkers Prev
August 2025
University of Michigan-Ann Arbor, Ann Arbor, MI, United States.
Background: Cancer remains a significant global health challenge, particularly for subpopulations with risk factors including genetic predisposition, comorbidities, and lifestyle, along with age. The Galleri® multi-cancer early detection (MCED) test is projected to be cost-effective for individuals aged ≥50 years. However, its potential value in subpopulations with elevated cancer risk remains underexplored.
View Article and Find Full Text PDFJ Liq Biopsy
September 2025
PreCyte, Inc., Seattle, WA, USA.
Background: The Indicator Cell Assay Platform (iCAP) is a novel tool for blood-based diagnostics that uses living cells as biosensors to integrate and amplify weak, multivalent disease signals present in patient serum. In the platform, standardized cells are exposed to small volumes of patient serum, and the resulting transcriptomic response is analyzed using machine learning tools to develop disease classifiers.
Methods: We developed a lung cancer-specific iCAP (LC-iCAP) as a rule-out test for the management of indeterminate pulmonary nodules detected by low-dose CT screening.