Evidence map›Paper›PMID 38066300›Full record

ArticleJournal of mammary gland biology and neoplasia2023

Single-cell Analysis Reveals Inter- and Intratumour Heterogeneity in Metastatic Breast Cancer.

Baptiste Hamelin, Milan M S Obradović, Atul Sethi, Michal Kloc, Simone Münst, Christian Beisel, Katja Eschbach, Hubertus Kohler, Savas Soysal, Marcus Vetter and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of mammary gland biology and neoplasia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 11% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

13 authors at 7 institutions in 1 country.

Baptiste HamelinDepartment of Biomedicine, Department of Surgery, University Hospital Basel, University of Basel, Basel, Switzerland.ORCID 0000-0001-8928-8597
Milan M S ObradovićDepartment of Biomedicine, Department of Surgery, University Hospital Basel, University of Basel, Basel, Switzerland.
Atul SethiDepartment of Biomedicine, Department of Surgery, University Hospital Basel, University of Basel, Basel, Switzerland.
Michal KlocDepartment of Biomedicine, Department of Surgery, University Hospital Basel, University of Basel, Basel, Switzerland.
Simone MünstInstitute of Pathology, University Hospital Basel, University of Basel, Basel, Switzerland.
Christian BeiselDepartment of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.
Katja EschbachDepartment of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.
Hubertus KohlerFriedrich Miescher Institute for Biomedical Research, Basel, Switzerland.
Savas SoysalDepartment of Biomedicine, Department of Surgery, University Hospital Basel, University of Basel, Basel, Switzerland.
Marcus VetterDepartment of Biomedicine, Department of Surgery, University Hospital Basel, University of Basel, Basel, Switzerland.
Walter P WeberBreast Center, Department of Surgery, University Hospital Basel, Basel, Switzerland.
Michael B StadlerFriedrich Miescher Institute for Biomedical Research, Basel, Switzerland.
Mohamed Bentires-AljDepartment of Biomedicine, Department of Surgery, University Hospital Basel, University of Basel, Basel, Switzerland. m.bentires-alj@unibas.ch.ORCID 0000-0001-6344-1127
University of Basel · CHETH Zurich · CHRoche (Switzerland) · CHSIB Swiss Institute of Bioinformatics · CHBreast Center · CHFriedrich Miescher Institute · CHUniversity Hospital of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastasis is the leading cause of cancer-related deaths of breast cancer patients. Some cancer cells in a tumour go through successive steps, referred to as the metastatic cascade, and give rise to metastases at a distant site. We know that the plasticity and heterogeneity of cancer cells play critical roles in metastasis but the precise underlying molecular mechanisms remain elusive. Here we aimed to identify molecular mechanisms of metastasis during colonization, one of the most important yet poorly understood steps of the cascade. We performed single-cell RNA-Seq (scRNA-Seq) on tumours and matched lung macrometastases of patient-derived xenografts of breast cancer. After correcting for confounding factors such as the cell cycle and the percentage of detected genes (PDG), we identified cells in three states in both tumours and metastases. Gene-set enrichment analysis revealed biological processes specific to proliferation and invasion in two states. Our findings suggest that these states are a balance between epithelial-to-mesenchymal (EMT) and mesenchymal-to-epithelial transitions (MET) traits that results in so-called partial EMT phenotypes. Analysis of the top differentially expressed genes (DEGs) between these cell states revealed a common set of partial EMT transcription factors (TFs) controlling gene expression, including ZNF750, OVOL2, TP63, TFAP2C and HEY2. Our data suggest that the TFs related to EMT delineate different cell states in tumours and metastases. The results highlight the marked interpatient heterogeneity of breast cancer but identify common features of single cells from five models of metastatic breast cancer.

Indexed as

Breast NeoplasmsCell Line, TumorEpithelial-Mesenchymal TransitionFemaleHumansSingle-Cell AnalysisTranscription FactorsTumor Suppressor ProteinsTranscription FactorsTumor Suppressor ProteinsZNF750 protein, humanBreast CancerCell SignalingMetastasisRNA-SeqSingle Cell

Identifiers

PMID38066300
PMCPMC10709262
OpenAlexW4389490954

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.