Evidence map›Paper›PMID 40759003›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2025

Framework to Select Multi-Cancer Detection Assays in the National Cancer Institute's Vanguard Study.

Elyse LeeVan, Amanda L Skarlupka, Christos Patriotis, Wendy S Rubinstein, Paul F Pinsky, Wade Bolton, Anthony Dickherber, Daniel C Edelman, Lyndsay N Harris, Hormuzd A Katki and 7 more

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Observational
  4. Review
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Elyse LeeVanDivision of Cancer Prevention, US National Cancer Institute, Rockville, Maryland.ORCID 0000-0002-2581-9747
Amanda L SkarlupkaDivision of Cancer Prevention, US National Cancer Institute, Rockville, Maryland.ORCID 0000-0002-3654-9076
Christos PatriotisDivision of Cancer Prevention, US National Cancer Institute, Rockville, Maryland.ORCID 0000-0001-6441-776X
Wendy S RubinsteinDivision of Cancer Prevention, US National Cancer Institute, Rockville, Maryland.ORCID 0000-0002-8790-9959
Paul F PinskyDivision of Cancer Prevention, US National Cancer Institute, Rockville, Maryland.ORCID 0000-0002-0350-3282
Wade BoltonVentureWell, Hadley, Massachusetts.ORCID 0009-0009-2693-1181
Anthony DickherberCenter for Strategic Scientific Initiatives, US National Cancer Institute, Bethesda, Maryland.ORCID 0000-0001-7265-8053
Daniel C EdelmanDivision of Cancer Prevention, US National Cancer Institute, Rockville, Maryland.ORCID 0000-0002-5329-6875
Lyndsay N HarrisCancer Diagnosis Program, Division of Cancer Treatment and Diagnosis, US National Cancer Institute, National Institutes of Health, Bethesda, Maryland.ORCID 0000-0002-9774-6719
Hormuzd A KatkiDivision of Cancer Epidemiology and Genetics, US National Cancer Institute, Rockville, Maryland.ORCID 0000-0003-2002-0095
Erin B LavikDivision of Cancer Prevention, US National Cancer Institute, Rockville, Maryland.ORCID 0000-0002-0644-744X
Albine MartinVentureWell, Hadley, Massachusetts.ORCID 0009-0008-6014-2488
Mary Jane C OngDivision of Cancer Prevention, US National Cancer Institute, Rockville, Maryland.ORCID 0009-0003-9175-9708
Philip C ProrokDivision of Cancer Prevention, US National Cancer Institute, Rockville, Maryland.ORCID 0000-0002-2126-5847
David F RansohoffDepartment of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.ORCID 0000-0002-2200-039X
Sarah M TemkinOffice of Research on Women's Health, National Institutes of Health, Bethesda, Maryland.ORCID 0000-0002-6472-2745
Lori M MinasianDivision of Cancer Prevention, US National Cancer Institute, Rockville, Maryland.ORCID 0000-0002-0472-4079

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Cancer Screening Research Network is a new clinical trials network funded by the NCI. The first Cancer Screening Research Network study, the Vanguard Study (VS), will assess the feasibility of using multi-cancer detection (MCD) tests in future randomized controlled trials.

methodsThis article describes the framework NCI developed to engage MCD assay developers, evaluate emerging technologies using biobank reference sets, and select fit-for-purpose MCD assays for inclusion in the VS.

resultsNCI evaluated 23 technologically diverse MCD assays, all utilizing machine learning and artificial intelligence components. Nine assays underwent blinded performance evaluations using specimens from three biobanks. Assay developers were provided with independent assessments of their assays, which enabled them to make further assay refinements to enhance performance. The assay selection process resulted in participation by two assay companies in the VS.

conclusionsNCI created a fair and transparent process to streamline the evaluation of assay performance and to select promising assays for clinical research and public health initiatives. IMPACT: Significant resources are required for large-scale cancer screening trials; therefore, promising technologies must be prioritized for inclusion in a definitive trial. NCI's assay selection framework can be used and repurposed by other networks and institutions.

Indexed as

Early Detection of CancerNeoplasmsHumansNational Cancer Institute (U.S.)United States

Identifiers

PMID40759003
PMCPMC12491945

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.