Evidence map›Paper›PMID 41673461›Full record

ArticleMolecular systems biology2026

Genetic barcoding uncovers the clonal makeup of solid and liquid biopsies and their ability to capture intra-tumoral heterogeneity.

Antonin Serrano, Tom S Weber, Jean Berthelet, Sarah Ftouni, Farrah El-Saafin, Samuel Lee, Elgene Lim, Emmanuelle Charafe-Jauffret, Christophe Ginestier, David Williams and 5 more

Abstract read
In one paragraph

Article in Molecular systems biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

15 authors.

Antonin Serrano *Olivia Newton-John Cancer Research Institute, Heidelberg, VIC, 3084, Australia. antonin.serrano@unimelb.edu.au.ORCID http://orcid.org/0000-0002-8178-6441
Tom S Weber *Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia. weber.ts@wehi.edu.au.ORCID http://orcid.org/0000-0003-3836-3299
Jean BertheletOlivia Newton-John Cancer Research Institute, Heidelberg, VIC, 3084, Australia.
Sarah FtouniCollaborative Centre for Genomic Cancer Medicine, University of Melbourne, Melbourne, VIC, 3010, Australia.
Farrah El-SaafinOlivia Newton-John Cancer Research Institute, Heidelberg, VIC, 3084, Australia.ORCID http://orcid.org/0000-0002-1650-8007
Samuel LeeOlivia Newton-John Cancer Research Institute, Heidelberg, VIC, 3084, Australia.
Elgene LimGarvan Institute of Medical Research, Darlinghurst, NSW, 2010, Australia.
Emmanuelle Charafe-JauffretCRCM, Inserm, CNRS, Institut Paoli-Calmettes, Aix-Marseille University, Epithelial Stem Cells and Cancer Laboratory, Equipe labellisée LIGUE contre le cancer, Marseille, France.
Christophe GinestierCRCM, Inserm, CNRS, Institut Paoli-Calmettes, Aix-Marseille University, Epithelial Stem Cells and Cancer Laboratory, Equipe labellisée LIGUE contre le cancer, Marseille, France.ORCID http://orcid.org/0000-0002-7477-3837
David WilliamsOlivia Newton-John Cancer Research Institute, Heidelberg, VIC, 3084, Australia.
Frédéric HollandeCollaborative Centre for Genomic Cancer Medicine, University of Melbourne, Melbourne, VIC, 3010, Australia.ORCID http://orcid.org/0000-0002-7046-8392
Belinda YeoOlivia Newton-John Cancer Research Institute, Heidelberg, VIC, 3084, Australia.ORCID http://orcid.org/0000-0002-9218-9917
Sarah-Jane Dawson *Collaborative Centre for Genomic Cancer Medicine, University of Melbourne, Melbourne, VIC, 3010, Australia.
Shalin H Naik *Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia.
Delphine Merino *Olivia Newton-John Cancer Research Institute, Heidelberg, VIC, 3084, Australia. delphine.merino@onjcri.org.au.ORCID http://orcid.org/0000-0002-8075-6275

Funding

DHAC | National Health and Medical Research Council (NHMRC) GNT2012196 and GNT2027459Love Your Sister (LYS) N/ANational Breast Cancer Foundation (NBCF) IIRS0049University of Melbourne (UNIMELB) Melbourne Research ScholarshipVicGovAu | Victorian Cancer Agency (VCA) MCRF21011
6 · The paper itself

Abstract

Intratumoral heterogeneity (ITH) is fueling tumor progression in breast cancer, as specific clones present within a tumor may have a selective advantage to colonize distant organs and escape therapy. Accurate sampling of ITH is therefore a pressing challenge in clinical oncology to adequately predict recurrence and inform rational and personalized therapies. Here, we used genetic barcoding to track the spatiotemporal composition of human breast cancer clones in six preclinical models-across two cell lines and four patient-derived xenografts (PDXs). This allowed a direct side-by-side quantitative comparison of both intra-tumor clonal composition and how that composition was reflected in needle biopsies and cell-free DNA (cfDNA). These analyses highlighted several biologically and clinically relevant findings. First, the use of barcoding revealed that clonal diversity in the center of non-necrotic primary tumors was significantly higher than in the periphery. Second, cfDNA barcode analysis suggested that DNA 'shedding' in the vasculature varied widely, not only depending on necrosis and tumor burden but also across models. Third, combining information captured in both solid and liquid biopsies can provide a more robust assessment of tumor clonal composition. Taken together, these results showcase the utility of these barcoded models to optimize the use of solid and liquid biopsies as surrogates of tumor heterogeneity.

Indexed as

Breast NeoplasmsDNA Barcoding, TaxonomicGenetic HeterogeneityAnimalsCell Line, TumorFemaleHumansLiquid BiopsyMiceBarcodingBiopsiesBreast CancercfDNATumor Heterogeneity

Identifiers

PMID41673461
PMCPMC13144504

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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.