Evidence map›Paper›PMID 42084533›Full record

ArticleCancer discovery2026

The Evolution of Polyclonal Competition in Aging Hematopoiesis.

Nathaniel V Mon Père, Francesco Terenzi, Benjamin Werner

Abstract read
In one paragraph

Article in Cancer discovery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Nathaniel V Mon PèreEvolutionary Dynamics Group, Centre for Cancer Evolution, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom.ORCID 0000-0003-3561-2050
Francesco TerenziEvolutionary Dynamics Group, Centre for Cancer Evolution, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom.ORCID 0009-0009-5012-3256
Benjamin WernerEvolutionary Dynamics Group, Centre for Cancer Evolution, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom.ORCID 0000-0002-6857-8699

Funding

Barts Charity MGU045UK Research and Innovation (UKRI) MR/V02342X/1
6 · The paper itself

Abstract

Clonal hematopoiesis (CH)-the expansion of genetic variants in blood-is a prime example of somatic evolution. Although it often precedes malignant transformation, many aspects of this process remain unknown. We show that a model of polyclonal competition, in which selectively advantaged clones continually occur and compete, explains observed CH dynamics throughout human life. We quantify the fitness distribution and occurrence rate of clonal expansions using either variant trajectories or hematopoietic stem cell (HSC) genetic heterogeneity. Inferences on both data converge. Approximately 3 fit clones enter the HSC pool per year, yet rarely more than 5 achieve >1.5% frequency throughout life. The fittest clones emerge predominantly later in life in accordance with a multistep evolutionary process. DNMT3A variants were enriched for single-hit clones, whereas TET2, ASXL1, JAK2, SF3B1, and SRSF2 showed enrichment for multihit evolution. These findings suggest that precursors of hematologic malignancies are identifiable prior to transformation and may facilitate early intervention strategies. SIGNIFICANCE: We study the evolution of CH through longitudinal variant trajectories and HSC genetic heterogeneity. Clonal interference and a multistep evolutionary process become evident. Clones further advanced on the path to malignant transformation are identifiable, and propensities for multiple hits differ among most commonly mutated CH variants.

Indexed as

AgingClonal HematopoiesisHematopoiesisHematopoietic Stem CellsHumans

Identifiers

PMID42084533
PMCPMC13531000

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.