Evidence map›Paper›PMID 31483799›Full record

ArticlePloS one2019

HER-2 status of circulating tumor cells in a metastatic breast cancer cohort: A comparative study on characterization techniques.

Anja Brouwer, Bram De Laere, Pieter-Jan van Dam, Dieter Peeters, Jasper Van Haver, Ellen Sluydts, Ali El Moussaoui, Pauline Mendelaar, Jaco Kraan, Marc Peeters and 2 more

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. The journal of liquid biopsy · 2023
    Review
  4. Circulating tumor cells: biology and clinical significance.Signal transduction and targeted therapy · 2021
    Review
  5. 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.

Anja BrouwerCentre for Oncological Research (CORE), University of Antwerp, Antwerp, Belgium.ORCID 0000-0002-2137-3207
Bram De LaereDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Pieter-Jan van DamCentre for Oncological Research (CORE), University of Antwerp, Antwerp, Belgium.
Dieter PeetersCentre for Oncological Research (CORE), University of Antwerp, Antwerp, Belgium.
Jasper Van HaverCentre for Oncological Research (CORE), University of Antwerp, Antwerp, Belgium.
Ellen SluydtsHistoGeneX NV, Wilrijk, Antwerp, Belgium.
Ali El MoussaouiHistoGeneX NV, Wilrijk, Antwerp, Belgium.
Pauline MendelaarDepartment of Medical Oncology, Erasmus Medical Center, Rotterdam, The Netherlands.
Jaco KraanDepartment of Medical Oncology, Erasmus Medical Center, Rotterdam, The Netherlands.
Marc PeetersCentre for Oncological Research (CORE), University of Antwerp, Antwerp, Belgium.
Steven Van LaereCentre for Oncological Research (CORE), University of Antwerp, Antwerp, Belgium.
Luc DirixCentre for Oncological Research (CORE), University of Antwerp, Antwerp, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersonalized targeted treatment in metastatic breast cancer relies on accurate assessment of molecular aberrations, e.g. overexpression of Human Epidermal growth factor Receptor 2 (HER-2). Molecular interrogation of circulating tumor cells (CTCs) can provide an attractive alternative for real-time biomarker assessment. However, implementation of CellSearch-based HER-2 analysis has been limited. Immunofluorescent (IF) image interpretation is crucial, as different HER-2 categories have been described. Major questions in CTC research are how these IF categories reflect gene expression and amplification, and if we should consider 'medium' HER-2 expressing CTCs for patient selection.

methodsTumor cells from spiked cell lines (n = 8) and CTCs (n = 116 samples) of 85 metastatic breast cancer patients were enriched using CellSearch. Comparative analysis of HER-2 expression by IF imaging (ACCEPT, DEPArray, and visual scoring) with qRT-PCR and HER-2/neu FISH was performed.

resultsAutomated IF HER-2-profiling by DEPArray and ACCEPT delivered comparable results. There was a 98% agreement between 17 trained observers (visual scoring) and ACCEPT considering HER-2neg and HER-2high expressing CTCs. However, 89% of HER-2med expressing CTCs by ACCEPT were scored negative by observers. HER-2high expressing tumor cells demonstrated HER-2/neu gene amplification, whereas HER-2neg and HER-2med expressing tumor cells and CTCs by ACCEPT were copy-number neutral. All patients with HER-2-positive archival tumors had ≥1 HER-2high expressing CTCs, while 80% of HER-2-negative patients did not. High relative gene expression of HER-2 measured on enriched CTC lysates correlated with having ≥1 HER-2high expressing CTCs.

conclusionAutomated images analysis has enormous potential for clinical implementation. HER-2 characterization and clinical trial design should be focused on HER-2high expressing CTCs.

Indexed as

Biomarkers, TumorBreast NeoplasmsCell Line, TumorErb-b2 Receptor Tyrosine KinasesFemaleGene AmplificationHumansIn Situ Hybridization, FluorescenceNeoplastic Cells, CirculatingRNA, MessengerWorkflowBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesRNA, Messenger

Identifiers

PMID31483799
PMCPMC6726188

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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.