Evidence map›Paper›PMID 35790747›Full record

ArticleNPJ breast cancer2022

Interrogating breast cancer heterogeneity using single and pooled circulating tumor cell analysis.

Françoise Rothé, David Venet, Dieter Peeters, Ghizlane Rouas, Mattia Rediti, Dominiek Smeets, Floriane Dupont, Peter Campbell, Diether Lambrechts, Luc Dirix and 2 more

Abstract read
In one paragraph

Article in NPJ breast cancer, 2022. 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.

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  14. Technologies for Viable Circulating Tumor Cell Isolation.International journal of molecular sciences · 2022
    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

12 authors.

Françoise Rothé *Breast Cancer Translational Research Laboratory J.-C. Heuson, Université Libre de Bruxelles, Institut Jules Bordet, Brussels, Belgium.
David Venet *Breast Cancer Translational Research Laboratory J.-C. Heuson, Université Libre de Bruxelles, Institut Jules Bordet, Brussels, Belgium.
Dieter PeetersHistopathology, Imaging and Quantification Unit, CellCarta, Antwerp, Belgium.
Ghizlane RouasBreast Cancer Translational Research Laboratory J.-C. Heuson, Université Libre de Bruxelles, Institut Jules Bordet, Brussels, Belgium.
Mattia ReditiBreast Cancer Translational Research Laboratory J.-C. Heuson, Université Libre de Bruxelles, Institut Jules Bordet, Brussels, Belgium.ORCID http://orcid.org/0000-0002-6713-2599
Dominiek SmeetsLaboratory of Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium.
Floriane DupontBreast Cancer Translational Research Laboratory J.-C. Heuson, Université Libre de Bruxelles, Institut Jules Bordet, Brussels, Belgium.
Peter CampbellWellcome Trust Sanger Institute, Hinxton, Cambridgeshire, UK.
Diether LambrechtsLaboratory of Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0002-3429-302X
Luc DirixTranslational Cancer Research Unit, Center for Oncological Research, University of Antwerp, Antwerpen, Belgium.
Christos SotiriouBreast Cancer Translational Research Laboratory J.-C. Heuson, Université Libre de Bruxelles, Institut Jules Bordet, Brussels, Belgium.ORCID http://orcid.org/0000-0002-5745-9977
Michail IgnatiadisDepartment of Medical Oncology, Université Libre de Bruxelles, Institut Jules Bordet, Brussels, Belgium. michail.ignatiadis@bordet.be.ORCID http://orcid.org/0000-0002-4493-3748

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single cell technologies allow the interrogation of tumor heterogeneity, providing insights into tumor evolution and treatment resistance. To better understand whether circulating tumor cells (CTCs) could complement metastatic biopsies for tumor genomic profiling, we characterized 11 single CTCs and 10 pooled CTC samples at the mutational and copy number aberration (CNA) levels, and compared these results with matched synchronous tumor biopsies from 3 metastatic breast cancer patients with triple-negative (TNBC), HER2-positive and estrogen receptor-positive (ER+) tumors. Similar CNA profiles and the same patient-specific driver mutations were found in bulk tissue and CTCs for the HER2-positive and TNBC tumors, whereas different CNA profiles and driver mutations were identified for the ER+ tumor, which presented two distinct clones in CTCs defined by mutations in ESR1 Y537N and TP53, respectively. Furthermore, de novo mutational signatures derived from CTCs described patient-specific biological processes. These data suggest that tumor tissue and CTCs provide complementary clinically relevant information to map tumor heterogeneity and tumor evolution.

Identifiers

PMID35790747
PMCPMC9256697

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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.