Evidence map›Paper›PMID 33310847›Full record

ArticleScience advances2020

A mathematical model of ctDNA shedding predicts tumor detection size.

Stefano Avanzini, David M Kurtz, Jacob J Chabon, Everett J Moding, Sharon Seiko Hori, Sanjiv Sam Gambhir, Ash A Alizadeh, Maximilian Diehn, Johannes G Reiter

Abstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
126citing papers in PubMed, 3 pooled it
–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

126 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  4. First-in-Human Phase I/IIa Study of the First-in-Class CDK2/4/6 Inhibitor PF-06873600 Alone or with Endocrine Therapy in Patients with Breast Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Trial
  5. A Real-World Assessment of Stage I Lung Cancer Through Electronic Nose Technology.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2024
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66 more citing papers are in PubMed but not listed here.

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

9 authors.

Stefano AvanziniCanary Center for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, Palo Alto, CA 94304, USA.ORCID 0000-0001-5306-9501
David M KurtzDivision of Oncology, Division of Hematology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0002-6382-4651
Jacob J ChabonInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0003-1820-9737
Everett J ModingStanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0001-7913-5351
Sharon Seiko HoriCanary Center for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, Palo Alto, CA 94304, USA.ORCID 0000-0002-4188-4952
Sanjiv Sam GambhirCanary Center for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, Palo Alto, CA 94304, USA.ORCID 0000-0002-2711-7554
Ash A AlizadehDivision of Oncology, Division of Hematology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0002-5153-5625
Maximilian DiehnInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0003-2032-0581
Johannes G ReiterCanary Center for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, Palo Alto, CA 94304, USA. johannes.reiter@stanford.edu.ORCID 0000-0002-0170-7353

Funding

A Genomic Framework for Molecular Risk Prediction & Individualized Lymphoma TherapyR01CA233975 · NCI · STANFORD UNIVERSITY · PI ALIZADEH, ASH ARASH, DIEHN, MAXIMILIAN · 2019 to 2023
$2.8M
Inferring the roots of metastases and their effects on patient survivalR00CA229991 · NCI · STANFORD UNIVERSITY · PI REITER, JOHANNES G · 2019 to 2021
$743k
NCI NIH HHS R00 CA229991NCI NIH HHS R01 CA233975
6 · The paper itself

Abstract

Early cancer detection aims to find tumors before they progress to an incurable stage. To determine the potential of circulating tumor DNA (ctDNA) for cancer detection, we developed a mathematical model of tumor evolution and ctDNA shedding to predict the size at which tumors become detectable. From 176 patients with stage I to III lung cancer, we inferred that, on average, 0.014% of a tumor cell's DNA is shed into the bloodstream per cell death. For annual screening, the model predicts median detection sizes of 2.0 to 2.3 cm representing a ~40% decrease from the current median detection size of 3.5 cm. For informed monthly cancer relapse testing, the model predicts a median detection size of 0.83 cm and suggests that treatment failure can be detected 140 days earlier than with imaging-based approaches. This mechanistic framework can help accelerate clinical trials by precomputing the most promising cancer early detection strategies.

Identifiers

PMID33310847
PMCPMC7732186

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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.