Evidence map›Paper›PMID 39854284›Full record

ArticleJNCI cancer spectrum2025

Tumor localization strategies of multicancer early detection tests: a quantitative assessment.

Christopher Tyson, Kevin H Li, Xiting Cao, James M O'Brien, Elliot K Fishman, Elizabeth K O'Donnell, Carlos Duran, Vijay Parthasarathy, Seema P Rego, Omair A Choudhry and 1 more

Abstract read
In one paragraph

Article in JNCI cancer spectrum, 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. Molecular Cancer Signal Origin Minimizes Diagnostic Burden: Letter.Cancer prevention research (Philadelphia, Pa.) · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Multi-cancer early detection tests: Attributes for clinical implementation.Cancer biomarkers : section A of Disease markers · 2025
    Article
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

11 authors.

Christopher TysonExact Sciences Corporation, Madison, WI 53719, United States.
Kevin H LiExact Sciences Corporation, Madison, WI 53719, United States.
Xiting CaoExact Sciences Corporation, Madison, WI 53719, United States.
James M O'BrienVisionquest Development Partners, Atlanta, GA 30240, United States.
Elliot K FishmanSidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21231, United States.ORCID 0000-0002-2567-1658
Elizabeth K O'DonnellDana-Farber Cancer Institute, Harvard University, Boston, MA 02215, United States.
Carlos DuranExact Sciences Corporation, Madison, WI 53719, United States.ORCID 0009-0009-8440-0645
Vijay ParthasarathyExact Sciences Corporation, Madison, WI 53719, United States.
Seema P RegoExact Sciences Corporation, Madison, WI 53719, United States.
Omair A ChoudhryExact Sciences Corporation, Madison, WI 53719, United States.ORCID 0009-0005-6068-2917
Tomasz M BeerExact Sciences Corporation, Madison, WI 53719, United States.ORCID 0000-0001-5600-9993

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMulticancer early detection tests may expand cancer screening. Characterizing diagnostic resolution approaches following positive multicancer early detection tests is critical. Two trials employed distinct resolution approaches: a molecular signal to predict tissue of origin and an imaging-based diagnostic strategy. This modeling study characterizes diagnostic journeys and impact in a hypothetical population of average-risk multicancer early detection-eligible patients.

methodsA mathematical expression for diagnostic burden was derived using positive predictive value (PPV), molecular tissue of origin localization accuracy, and numbers of procedures associated with each diagnostic outcome. Imaging-based and molecular tissue of origin-informed strategies were compared. Excess lifetime cancer risk due to futile radiation exposure was estimated using organ-specific diagnostic imaging radiation doses.

resultsAcross all PPVs and localization performances, a molecular tissue of origin strategy resulted in a higher diagnostic burden (mean = 3.6 [0.445] procedures vs mean = 2.6 [0.100] procedures) for the imaging strategy. Estimated diagnostic burden was higher for molecular tissue of origin in 95.5% of all PPV and tissue of origin accuracy combinations; at least 79% PPV and 90% accuracy would be required for a molecular tissue of origin-informed strategy to be less burdensome than imaging. The maximum rate of excess cancer incidence from radiation exposure for multicancer early detection false-positive results (individuals aged 50-84 years) was 64.6 of 100 000 (annual testing, 99% specificity), 48.5 of 100 000 (biennial testing, 98.5% specificity), and 64.6 of 100 000 (biennial testing, 98% specificity).

conclusionsAn imaging-based diagnostic strategy is more efficient than a molecular tissue of origin-informed approach across almost all PPV and tissue of origin accuracy combinations. The use of an imaging-based approach for cancer localization can be efficient and low-risk compared with a molecular-informed approach.

Indexed as

Early Detection of CancerNeoplasmsHumansModels, TheoreticalPredictive Value of TestsRadiation Dosage

Identifiers

PMID39854284
PMCPMC11897890

What OpenQuestion holds

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Registered trials

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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.