Evidence map›Paper›PMID 41699138›Full record

ReviewNature genetics2026

Modeling the evolutionary dynamics of clonal hematopoiesis.

Sadegh Marzban, Thomas Stiehl, Zhuoer Xie, Morten Andersen, Jordan Snyder, Johanne Gudmand-Høyer, Johnny T Ottesen, Nathaniel V Mon Père, Benjamin Werner, Weini Huang and 6 more

Abstract readReview
In one paragraph

Review in Nature genetics, 2026. 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. Article
  3. Article
  4. Article
  5. Mechanistic learning to predict and understand minimal residual disease.bioRxiv : the preprint server for biology · 2026
    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

16 authors.

Sadegh MarzbanIntegrated Mathematical Oncology, Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID http://orcid.org/0000-0002-9435-017X
Thomas StiehlCenter for Mathematical Modeling-Human Health and Disease, Roskilde University, Roskilde, Denmark.
Zhuoer XieDepartment of Malignant Hematology, Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID http://orcid.org/0000-0003-1266-9804
Morten AndersenCenter for Mathematical Modeling-Human Health and Disease, Roskilde University, Roskilde, Denmark.
Jordan SnyderCenter for Mathematical Modeling-Human Health and Disease, Roskilde University, Roskilde, Denmark.ORCID http://orcid.org/0000-0002-1001-134X
Johanne Gudmand-HøyerCenter for Mathematical Modeling-Human Health and Disease, Roskilde University, Roskilde, Denmark.ORCID http://orcid.org/0000-0002-4972-0653
Johnny T OttesenCenter for Mathematical Modeling-Human Health and Disease, Roskilde University, Roskilde, Denmark.ORCID http://orcid.org/0000-0002-9786-0300
Nathaniel V Mon PèreBarts Cancer Institute, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0003-3561-2050
Benjamin WernerBarts Cancer Institute, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0002-6857-8699
Weini HuangSchool of Mathematical Sciences, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0002-9016-2665
Amy E DeZernDivision of Hematologic Malignancies, Johns Hopkins Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-5225-4609
Mikkael A SekeresSylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA.
Matthew J WalterDepartment of Medicine, Washington University, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-7753-1091
Eric PadronDepartment of Malignant Hematology, Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID http://orcid.org/0000-0002-4707-7916
Nancy GillisDepartment of Malignant Hematology, Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID http://orcid.org/0000-0002-7744-8490
Jeffrey WestIntegrated Mathematical Oncology, Moffitt Cancer Center and Research Institute, Tampa, FL, USA. jeffrey.west@moffitt.org.ORCID http://orcid.org/0000-0001-9579-4664

Funding

The Delta Ecology of NSCLC TreatmentU54CA274507 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI Alexander Robertson Allan Anderson, ROBERT A GATENBY · 2023 to 2026
$9.4M
NCI NIH HHS U54 CA274507
6 · The paper itself

Abstract

Clonal hematopoiesis (CH) results from the acquisition and expansion of somatic mutations in hematopoietic stem and progenitor cells and is associated with age-related clinical sequelae, including an increased risk for cardiovascular disease, myeloid neoplasms and complications related to cancer therapy. Chemotherapy and radiation can accelerate CH expansion and further elevate the risk of adverse events, including cardiotoxicity and therapy-related myeloid neoplasms. Although CH is increasingly recognized as a clinically relevant precursor state and predictive biomarker, the long-term dynamics of CH expansion in humans remain poorly understood. Longitudinal data are often collected but not integrated with mathematical prediction. Mathematical modeling is essential for characterizing CH evolution, estimating clone fitness, inferring stem cell pool dynamics and enabling patient-level predictions. This study summarizes the current evidence on CH dynamics in humans, compares mathematical models used to predict CH progression, assesses the validity of model assumptions and discusses the implications for clinical management of individuals with these precursor conditions.

Indexed as

Clonal EvolutionClonal HematopoiesisHematopoietic Stem CellsAnimalsHumansModels, BiologicalMutation

Identifiers

PMID41699138
PMCPMC13069927

What OpenQuestion holds

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Read underepoch 390

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.