Evidence map›Paper›PMID 30450210›Full record

ArticleBiomarker research2018

Heterogeneous expression of EPCAM in human circulating tumour cells from patient-derived xenografts.

Chiara Agnoletto, Linda Minotti, Laura Brulle-Soumare, Lorenzo Pasquali, Marco Galasso, Fabio Corrà, Federica Baldassari, Jean-Gabriel Judde, Stefano Cairo, Stefano Volinia

Open access · goldAbstract read
In one paragraph

Article in Biomarker research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

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  12. EpCAMDisease markers · 2019
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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

10 authors at 2 institutions in 2 countries.

Chiara Agnoletto1Department of Morphology, Surgery and Experimental Medicine, LTTA Centre, University of Ferrara, 44121 Ferrara, Italy.
Linda Minotti1Department of Morphology, Surgery and Experimental Medicine, LTTA Centre, University of Ferrara, 44121 Ferrara, Italy.
Laura Brulle-SoumareXentech, Paris, France.
Lorenzo Pasquali3Dermatology and Venereology Unit, Department of Medicine, Center for Molecular Medicine, Karolinska University Hospital, SE-17176 Stockholm, Sweden.
Marco Galasso1Department of Morphology, Surgery and Experimental Medicine, LTTA Centre, University of Ferrara, 44121 Ferrara, Italy.
Fabio Corrà1Department of Morphology, Surgery and Experimental Medicine, LTTA Centre, University of Ferrara, 44121 Ferrara, Italy.
Federica Baldassari1Department of Morphology, Surgery and Experimental Medicine, LTTA Centre, University of Ferrara, 44121 Ferrara, Italy.
Jean-Gabriel JuddeXentech, Paris, France.
Stefano CairoXentech, Paris, France.
Stefano Volinia1Department of Morphology, Surgery and Experimental Medicine, LTTA Centre, University of Ferrara, 44121 Ferrara, Italy.
University of Ferrara · ITKarolinska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aim to characterize the heterogeneous circulating tumour cells (CTCs) in peripheral blood, independently of physical or immunological purification, by using patient-derived xenografts (PDXs) models. CTC studies from blood generally rely on enrichment or purification. Conversely, we devised a method for the inclusive study of human cells from blood of PDX models, without pre-selection or enrichment.

methodsA qRT-PCR assay was developed to detect human and cancer-related transcripts from CTCs in PDXs. We quantified the EPCAM and keratins CTC markers, in a PDX cohort of breast cancer. The murine beta actin gene was used for normalization. Spearman's rho coefficients were calculated for correlation.

resultsWe demonstrated, for the first time, that we can quantify the content of CTCs and the expression of human CTC markers in PDX blood using human-specific qRT-PCR. Our method holds strong potential for the study of CTC heterogeneity and for the identification of novel CTC markers.

conclusionsThe identification and the relative quantification of the diverse spectrum of CTCs in patients, irrespective of EPCAM or other currently used markers, will have a great impact on personalized medicine: unrestricted CTCs characterization will allow the early detection of metastases in cancer patients and the assessment of personalized therapies.

Indexed as

CTCsPDXRT-qPCR

Identifiers

PMID30450210
PMCPMC6208170
OpenAlexW2899228588

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.