Evidence map›Paper›PMID 30218306›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2019

Epithelial membrane protein 2: a novel biomarker for circulating tumor cell recovery in breast cancer.

Q Chen, L Yao, D Burner, B Minev, L Lu, M Wang, W Ma

Abstract read
PubMed Publisher
In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. EMP3: A promising biomarker for tumor prognosis and targeted cancer therapy.Cancer biomarkers : section A of Disease markers · 2024
    Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Genetic Deletion ofFrontiers in medicine · 2019
    Article
  9. Article
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

7 authors at 4 institutions in 2 countries.

Q ChenKey Laboratory for Translational Medicine and the Division of Breast Surgery, The First Affiliated Hospital of Huzhou University School of Medicine, Huzhou, 313000, Zhejiang, China.
L YaoKey Laboratory for Translational Medicine and the Division of Breast Surgery, The First Affiliated Hospital of Huzhou University School of Medicine, Huzhou, 313000, Zhejiang, China.
D BurnerDepartment of Medicine and Moores Cancer Center, University of California San Diego, La Jolla, CA, 92093, USA.
B MinevDepartment of Medicine and Moores Cancer Center, University of California San Diego, La Jolla, CA, 92093, USA.
L LuDepartment of Chronic Disease Epidemiology, Yale School of Public Health, Yale School of Medicine, Yale Cancer Center, New Haven, CT, 06520, USA.
M WangDivision of Gastrointestinal SurgeryThe First Affiliated Hospital and the Department of Clinical Medicine, Jiaxing University School of Medicine, Jiaxing, 314001, Zhejiang, China. wangmin@mail.zjxu.edu.cn.
W MaDepartment of Medicine and Moores Cancer Center, University of California San Diego, La Jolla, CA, 92093, USA. wma@ucsd.edu.ORCID http://orcid.org/0000-0001-9228-6162
University of California San Diego · USHuzhou University · CNJiaxing University · CNYale Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEpCAM is a common marker used in the detection of circulating tumor cells (CTC). Disseminated cancer cells display the characteristics of epithelial-to-mesenchymal transition events. The purpose of this study was to assess the potential of epithelial membrane protein 2 (EMP2) as a novel biomarker for CTC retrieval in breast cancer.

methodsMCF7 and MDA-MB-231 cells were stained with either anti-EpCAM or anti-EMP2 mAbs, respectively, followed by flow cytometric assay to measure their expression levels. PBMCs isolated from healthy donors were used for breast cancer cell spiking. CD45-depleted PBMCs from breast cancer patients' blood were used for CTC capturing. Immunomagnetic separation was used to enrich breast cancer cells. Cytospin centrifugation was performed to concentrate the captured cells, followed by immunofluorescence staining with anti-CD45 mAb, anti-pan cytokeratin mAb and DAPI. Fluorescent images were taken using a confocal microscope for CTC counts.

resultMDA-MB-231 cells had 2.56 times higher EMP2 expression than MCF7 cells, and EMP2 had a significantly higher capture efficiency than EpCAM for MCF7 cells. Furthermore, anti-EMP2 was capable of capturing MCF7 cells that escaped in the flow-through of anti-EpCAM. Likewise, EMP2 had a significantly higher capture efficiency on MDA-MB-231 cells when compared to MCF7 cells. Most importantly, EMP2 biomarker was successfully used for CTC capture in patients with primary breast cancer.

conclusionsEMP2 is superior to EpCAM for capturing both MCF7 and MDA-MB-231 cells. Additionally, EMP2 is a novel biomarker and capable of capturing breast cancer cells in patient blood samples.

Indexed as

AdultAgedAntibodies, MonoclonalBiomarkers, TumorBreast NeoplasmsCell SeparationEpithelial Cell Adhesion MoleculeFemaleHumansImmunomagnetic SeparationMCF-7 CellsMembrane GlycoproteinsMiddle AgedNeoplastic Cells, CirculatingAntibodies, MonoclonalBiomarkers, TumorEMP2 protein, humanEPCAM protein, humanEpithelial Cell Adhesion MoleculeMembrane GlycoproteinsBiomarkerBreast cancerCaptureCirculating tumor cellsEpithelial membrane protein 2

Identifiers

PMID30218306
OpenAlexW2889625772

What OpenQuestion holds

Textmetadata
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.