Evidence map›Paper›PMID 28422972›Full record

ArticlePloS one2017

Challenges in enumeration of CTCs in breast cancer using techniques independent of cytokeratin expression.

John Castle, Karen Morris, Susan Pritchard, Cliona C Kirwan

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
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  5. Oncology letters · 2021
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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

4 authors at 3 institutions in 2 countries.

John CastleClinical and Experimental Pharmacology, Cancer Research UK Manchester Institute; Manchester, United Kingdom.ORCID http://orcid.org/0000-0001-8213-9775
Karen MorrisClinical and Experimental Pharmacology, Cancer Research UK Manchester Institute; Manchester, United Kingdom.
Susan PritchardDepartment of Histopathology, University Hospital of South Manchester; Manchester, United Kingdom.
Cliona C KirwanDivision of Molecular and Clinical Cancer Sciences, University of Manchester; Department of Academic Surgery, University Hospital of South Manchester, Manchester, United Kingdom.
Cancer Research UK Manchester Institute · GBManchester Academic Health Science Centre · GBSewanee: The University of the South · US

Funding

Department of Health NIHR-CS-011-014
6 · The paper itself

Abstract

introductionGiven the current postulated plasticity between epithelial and mesenchymal states of migratory cancer cells the detection of non-epithelial CTCs is an important scientific and clinical goal.

methodsWe used the filtration-based ISET technology to enrich circulating tumour cells (CTCs) in early breast cancer blood samples and identify them using a morphology-based immunocytochemistry (ICC) approach.

resultsWe found greater numbers of putative CTCs by this approach than by the cytokeratin-based CellSearch technology, but a high number of CTC false positives were identified in healthy volunteer samples which were not reduced in successive blood draws. Preliminary work using an oestrogen receptor (ER)-based multiplex ICC method in metastatic breast cancer ISET samples indicated a low number of ER+ CTCs even at this advanced stage.

conclusionsThis work highlights the challenges in enumerating CTCs without conventional epithelial markers.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsCase-Control StudiesCell CountCell SeparationEpithelial-Mesenchymal TransitionEstrogen Receptor alphaFalse Positive ReactionsFemaleFiltrationHumansImmunohistochemistryKeratinsBiomarkers, TumorEstrogen Receptor alphaKeratins

Identifiers

PMID28422972
PMCPMC5397021
OpenAlexW2606399195

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.