Evidence map›Paper›PMID 40954304›Full record

ArticleNature methods2025

Cancer subclone detection based on DNA copy number in single-cell and spatial omic sequencing data.

Chi-Yun Wu, Jiazhen Rong, Anuja Sathe, Paul R Hess, Billy T Lau, Susan M Grimes, Sijia Huang, Hanlee P Ji, Nancy R Zhang

Abstract read
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In one paragraph

Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
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  7. Review
  8. Article
  9. A tale of tumors.Nature methods · 2025
    Article
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  15. 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

9 authors.

Chi-Yun Wu *Graduate Group in Genomics and Computational Biology, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0003-4956-4133
Jiazhen Rong *Graduate Group in Genomics and Computational Biology, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-7884-5973
Anuja SatheDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-2100-0013
Paul R HessDepartment of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA, USA.
Billy T LauDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-8934-3370
Susan M GrimesDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-1144-4128
Sijia HuangDepartment of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA, USA.
Hanlee P JiDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Nancy R ZhangGraduate Group in Genomics and Computational Biology, University of Pennsylvania, Philadelphia, PA, USA. nzh@wharton.upenn.edu.ORCID http://orcid.org/0000-0002-0880-5749

Funding

American Cancer Society (American Cancer Society, Inc.) RSG-13-297-01-TBGCancer Research Institute (CRI) CRI5065U.S. Department of Health & Human Services | National Institutes of Health (NIH) 1U2CCA233285-01U.S. Department of Health & Human Services | National Institutes of Health (NIH) 5R01-HG006137-07U.S. Department of Health & Human Services | National Institutes of Health (NIH) P01HG00205ESH
6 · The paper itself

Abstract

Somatic mutations such as copy number alterations accumulate during cancer progression, driving intratumor heterogeneity that impacts therapy effectiveness. Understanding the characteristics and spatial distribution of genetically distinct subclones is essential for unraveling tumor evolution and improving cancer treatment. Here we present Clonalscope, a subclone detection method using copy number profiles, applicable to spatial transcriptomics and single-cell sequencing data. Clonalscope implements a nested Chinese Restaurant Process to identify de novo tumor subclones, which can incorporate prior information from matched bulk DNA sequencing data for improved subclone detection and malignant cell labeling. On single-cell RNA sequencing and single-cell assay for transposase-accessible chromatin using sequencing data from gastrointestinal tumors, Clonalscope successfully labeled malignant cells and identified genetically different subclones with thorough validations. On spatial transcriptomics data from various primary and metastasized tumors, Clonalscope labeled malignant spots, traced subclones and identified spatially segregated subclones with distinct differentiation levels and expression of genes associated with drug resistance and survival.

Indexed as

DNA Copy Number VariationsNeoplasmsSingle-Cell AnalysisGene Expression ProfilingHumansSequence Analysis, DNATranscriptome

Identifiers

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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.