Evidence map›Paper›PMID 41953965›Full record

Observational studyCancer2026

Preclinical circulating tumor DNA shedding duration and prognostic implications of modeling 3669 patients with cancer in the American Cancer Society Cancer Prevention Study-3 and Circulating Cell-Free Genome Atlas Substudy 3.

Earl Hubbell, Alpa V Patel, Christina A Clarke, Emily L Deubler, Eric T Fung, Rong Jiang, Allison W Kurian, Cari Lichtman, Lauren R Teras, Oliver Venn and 2 more

Registry-linked trialAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02889978 (The Circulating Cell-free Genome Atlas Study), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

NCT02889978 unknown statusnot on this map

The Circulating Cell-free Genome Atlas Study

TypeobservationalSponsorGRAIL, Inc.Ran2016 to 2024Enrolled15,254ConditionsNeoplasms, Cancer
3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Modeled Sojourn Time and Sensitivity for Detecting Preclinical Cancers Retrospectively by a Multicancer Early Detection Test.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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  4. Impact of Population Cancer Risk on the Cost-effectiveness of Multicancer Early Detection Testing in the United States.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
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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

12 authors.

Earl HubbellGRAIL, Inc., Menlo Park, California, USA.
Alpa V PatelDepartment of Population Science, American Cancer Society, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0001-9997-1218
Christina A ClarkeGRAIL, Inc., Menlo Park, California, USA.
Emily L DeublerDepartment of Population Science, American Cancer Society, Atlanta, Georgia, USA.
Eric T FungGRAIL, Inc., Menlo Park, California, USA.
Rong JiangGRAIL, Inc., Menlo Park, California, USA.
Allison W KurianDivision of Oncology, Department of Medicine, and Department of Epidemiology & Population Health, Stanford School of Medicine, Stanford, California, USA.ORCID https://orcid.org/0000-0002-6175-9470
Cari LichtmanDepartment of Population Science, American Cancer Society, Atlanta, Georgia, USA.
Lauren R TerasDepartment of Population Science, American Cancer Society, Atlanta, Georgia, USA.
Oliver VennGRAIL, Inc., Menlo Park, California, USA.
Nan ZhangGRAIL, Inc., Menlo Park, California, USA.
Charles SwantonCancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK.

Funding

Grail, Inc.
6 · The paper itself

Abstract

introductionPrevious studies have estimated the mean sojourn and dwell times within stages for commonly screened cancer types. However, little is known about the preclinical detection window of circulating tumor DNA (ctDNA) (ie, ctDNA positivity), which is important for understanding multicancer early detection.

methodsThe duration of preclinical detectability and prognostic value of ctDNA detection was estimated from patients with cancer in two biobank studies: CPS-3, where cancer was diagnosed (n = 1064) within 3 years of a prior blood draw (2006-2013), and CCGA3 (NCT02889978), with a blood draw (2016-2019) concurrent with clinical diagnosis (n = 2604). To infer these quantities, Bayesian models were used for detection rates as a function of time, as well as to infer prognostic effects.

resultsMedian [credible interval] sojourn times were 0.75 [0.47, 1.30], 0.89 [0.61, 1.33], 1.2 [0.84, 1.67] years for cancers diagnosed at local, regional, and distant stage, respectively, and ranged by type from pancreas, 0.49 [0.26, 0.88] to lymphoma, 2.45 [1.14, 4.87]. The extrapolated effect of ctDNA positivity at clinical diagnosis versus negative in CPS-3 cancer cases was a relative hazard ratio of 1.98 [1.08-4.22] for mortality.

conclusionsThese results provide estimates for average ctDNA detectable sojourn time in tumors across multiple cancer sites and stages and can inform the design of future screening studies for multicancer early detection.

Indexed as

Biomarkers, TumorCirculating Tumor DNANeoplasmsAgedBayes TheoremEarly Detection of CancerFemaleHumansMaleMiddle AgedPrognosisBiomarkers, TumorCirculating Tumor DNAcancer screeningcirculating tumor DNA (ctDNA)multicancer early detection (MCED)preclinicalsojourn time

Identifiers

PMID41953965
PMCPMC13063101

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Registered trials

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.