Evidence map›Paper›PMID 29084234›Full record

ArticlePloS one2017

Quantifying HER-2 expression on circulating tumor cells by ACCEPT.

Leonie Zeune, Guus van Dalum, Charles Decraene, Charlotte Proudhon, Tanja Fehm, Hans Neubauer, Brigitte Rack, Marianna Alunni-Fabbroni, Leon W M M Terstappen, Stephan A van Gils and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 9% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
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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

11 authors at 4 institutions in 3 countries.

Leonie ZeuneDepartment of Applied Mathematics, MIRA Institute, University of Twente, Enschede, The Netherlands.ORCID http://orcid.org/0000-0002-1741-2410
Guus van DalumDepartment of Medical Cell BioPhysics, MIRA Institute, University of Twente, Enschede, The Netherlands.
Charles DecraeneCirculating Tumor Biomarkers Laboratory, SiRIC, Translational Research Department, Institut Curie, PSL Research University, Paris, France.
Charlotte ProudhonCNRS UMR144, Institut Curie, PSL Research University, Paris, France.
Tanja FehmDepartment of Gynecology and Obstetrics, Heinrich-Heine-University, Duesseldorf, Germany.
Hans NeubauerDepartment of Gynecology and Obstetrics, Heinrich-Heine-University, Duesseldorf, Germany.
Brigitte RackDepartment of Gynecology and Obstetrics, Ludwig-Maximilians-University, Munich, Germany.
Marianna Alunni-FabbroniDepartment of Gynecology and Obstetrics, Ludwig-Maximilians-University, Munich, Germany.
Leon W M M TerstappenDepartment of Medical Cell BioPhysics, MIRA Institute, University of Twente, Enschede, The Netherlands.
Stephan A van GilsDepartment of Applied Mathematics, MIRA Institute, University of Twente, Enschede, The Netherlands.
Christoph BruneDepartment of Applied Mathematics, MIRA Institute, University of Twente, Enschede, The Netherlands.
University of Twente · NLCentre National de la Recherche Scientifique · FRHeinrich Heine University Düsseldorf · DELudwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating tumor cells (CTCs) isolated from blood can be probed for the expression of treatment targets. Immunofluorescence is often used for both the enumeration of CTC and the determination of protein expression levels related to treatment targets. Accurate and reproducible assessment of such treatment target expression levels is essential for their use in the clinic. To enable this, an open source image analysis program named ACCEPT was developed in the EU-FP7 CTCTrap and CANCER-ID programs. Here its application is shown on a retrospective cohort of 132 metastatic breast cancer patients from which blood samples were processed by CellSearch® and stained for HER-2 expression as additional marker. Images were digitally stored and reviewers identified a total of 4084 CTCs. CTC's HER-2 expression was determined in the thumbnail images by ACCEPT. 150 of these images were selected and sent to six independent investigators to score the HER-2 expression with and without ACCEPT. Concordance rate of the operators' scoring results for HER-2 on CTCs was 30% and could be increased using the ACCEPT tool to 51%. Automated assessment of HER-2 expression by ACCEPT on 4084 CTCs of 132 patients showed 8 (6.1%) patients with all CTCs expressing HER-2, 14 (10.6%) patients with no CTC expressing HER-2 and 110 (83.3%) patients with CTCs showing a varying HER-2 expression level. In total 1576 CTCs were determined HER-2 positive. We conclude that the use of image analysis enables a more reproducible quantification of treatment targets on CTCs and leads the way to fully automated and reproducible approaches.

Indexed as

Breast NeoplasmsErb-b2 Receptor Tyrosine KinasesFemaleHumansNeoplastic Cells, CirculatingERBB2 protein, humanErb-b2 Receptor Tyrosine Kinases

Identifiers

PMID29084234
PMCPMC5662084
OpenAlexW2766640217

What OpenQuestion holds

Textmetadata
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.