Evidence map›Paper›PMID 39614124›Full record

ArticleNature genetics2025

Characterizing the evolutionary dynamics of cancer proliferation in single-cell clones with SPRINTER.

Olivia Lucas, Sophia Ward, Rija Zaidi, Abigail Bunkum, Alexander M Frankell, David A Moore, Mark S Hill, Wing Kin Liu, Daniele Marinelli, Emilia L Lim and 16 more

Abstract read
In one paragraph

Article in Nature genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
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  11. Organoids glimpse: the nexus for diverse tumor heterogeneity.Frontiers in cell and developmental biology · 2026
    Review
  12. Targeting tumor transition windows.Exploration of targeted anti-tumor therapy · 2026
    Review
  13. Review
  14. Review
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

26 authors.

Olivia Lucas *Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK.ORCID http://orcid.org/0000-0001-8169-7767
Sophia Ward *Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.ORCID http://orcid.org/0000-0002-6777-5279
Rija ZaidiComputational Cancer Genomics Research Group, University College London Cancer Institute, London, UK.ORCID http://orcid.org/0000-0002-2259-4319
Abigail BunkumComputational Cancer Genomics Research Group, University College London Cancer Institute, London, UK.ORCID http://orcid.org/0000-0002-7753-9421
Alexander M FrankellCancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.ORCID http://orcid.org/0000-0002-0341-7878
David A MooreCancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.ORCID http://orcid.org/0000-0002-6296-1312
Mark S HillCancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK.ORCID http://orcid.org/0000-0003-0718-8934
Wing Kin LiuCancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
Daniele MarinelliCancer Metastasis Laboratory, University College London Cancer Institute, London, UK.ORCID http://orcid.org/0000-0002-6002-363X
Emilia L LimCancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
Sonya HesseyComputational Cancer Genomics Research Group, University College London Cancer Institute, London, UK.
Cristina Naceur-LombardelliCancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.ORCID http://orcid.org/0000-0002-7097-0307
Andrew RowanCancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK.
Sukhveer Kaur Purewal-MannFlow Cytometry Science Technology Platform, The Francis Crick Institute, London, UK.
Haoran ZhaiCancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.ORCID http://orcid.org/0000-0002-9418-292X
Michelle DietzenCancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.ORCID http://orcid.org/0000-0002-6853-7563
Boyue DingDepartment of Medical Physics and Biomedical Engineering, University College London, London, UK.
Gary RoyleDepartment of Medical Physics and Biomedical Engineering, University College London, London, UK.
Samuel AparicioDepartment of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada.ORCID http://orcid.org/0000-0002-0487-9599
TRACERx Consortium
PEACE Consortium
Nicholas McGranahanCancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.ORCID http://orcid.org/0000-0001-9537-4045
Mariam Jamal-HanjaniCancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.ORCID http://orcid.org/0000-0003-1212-1259
Nnennaya KanuCancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK. n.kanu@ucl.ac.uk.ORCID http://orcid.org/0000-0001-7232-1952
Charles SwantonCancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK. charles.swanton@crick.ac.uk.ORCID http://orcid.org/0000-0002-4299-3018
Simone ZaccariaComputational Cancer Genomics Research Group, University College London Cancer Institute, London, UK. s.zaccaria@ucl.ac.uk.ORCID http://orcid.org/0000-0002-5265-7392

Funding

Breast Cancer Research Foundation (BCRF) BCRF-22-157Cancer Research UK (CRUK) C11496/A17786Cancer Research UK (CRUK) C416/A21999Cancer Research UK (CRUK) C7893/A26233Cancer Research UK (CRUK) CANTAC721\100022Cancer Research UK (CRUK) RCCCDF-Nov21\100005RCUK | Medical Research Council (MRC) MR/N013867/1Rosetrees Trust M917Wellcome Trust CC2041Wellcome Trust (Wellcome) 225491/Z/22/Z
6 · The paper itself

Abstract

Proliferation is a key hallmark of cancer, but whether it differs between evolutionarily distinct clones co-existing within a tumor is unknown. We introduce the Single-cell Proliferation Rate Inference in Non-homogeneous Tumors through Evolutionary Routes (SPRINTER) algorithm that uses single-cell whole-genome DNA sequencing data to enable accurate identification and clone assignment of S- and G2-phase cells, as assessed by generating accurate ground truth data. Applied to a newly generated longitudinal, primary-metastasis-matched dataset of 14,994 non-small cell lung cancer cells, SPRINTER revealed widespread clone proliferation heterogeneity, orthogonally supported by Ki-67 staining, nuclei imaging and clinical imaging. We further demonstrated that high-proliferation clones have increased metastatic seeding potential, increased circulating tumor DNA shedding and clone-specific altered replication timing in proliferation- or metastasis-related genes associated with expression changes. Applied to previously generated datasets of 61,914 breast and ovarian cancer cells, SPRINTER revealed increased single-cell rates of different genomic variants and enrichment of proliferation-related gene amplifications in high-proliferation clones.

Indexed as

Carcinoma, Non-Small-Cell LungCell ProliferationClonal EvolutionNeoplasmsSingle-Cell AnalysisAlgorithmsCell Line, TumorClone CellsFemaleHumansLung NeoplasmsNeoplasm MetastasisWhole Genome Sequencing

Identifiers

PMID39614124
PMCPMC11735394

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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.