Evidence map›Paper›PMID 32695277›Full record

ArticleAvicenna journal of medical biotechnology

Circulating Tumor Cells Detection in Patients with Early Breast Cancer Using MACS Immunomagnetic Flow Cytometry.

Nasrin Karimi, Mana Oloomi, Zahra Orafa

Open access · greenAbstract read
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Article in Avicenna journal of medical biotechnology. 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
0.6field-weighted citation impact, top 31% 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, 12 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Nasrin KarimiDepartment of Molecular Biology, Pasteur Institute of Iran, Tehran, Iran.
Mana OloomiDepartment of Molecular Biology, Pasteur Institute of Iran, Tehran, Iran.
Zahra OrafaDepartment of Molecular Biology, Pasteur Institute of Iran, Tehran, Iran.
Pasteur Institute of Iran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCirculating Tumor Cells (CTCs) detection in peripheral blood of epithelial cancer patients is an indicator of the presence of primary tumors and metastasis. The CTC phenotype detection uses epithelial markers in defining, detecting, and isolating CTCs. Circulating cell-separation technologies, with the epithelial origin, can be identified by epithelial biomarkers, with different techniques such as flow cytometry. The purpose of this study was to evaluate the expression of molecular Cytokeratins (CKs), CK7, CK8, CK18, CK19 (Pan-CK) and Epithelial Cell Adhesion Molecule (EpCAM) markers for CTC detection.

methodsThe Magnetic Activated Cell Sorting (MACS) was used to identify CTCs in the blood of patients. Specific antibodies to EpCAM and Pan-CK were used and analyzed by flow cytometry. In this study, 35 blood samples of patients with breast cancer were assessed before any treatment and 35 healthy blood samples as the control were evaluated.

resultsExpression of CK markers in the peripheral blood of breast cancer patients was statistically significant with p≤0.05, specifically at stages II-IV, but it was not significant in patients at stage I and healthy controls. Biomarkers expression in the blood of patients and healthy controls was assessed along with the pathologic characteristics of patients.

conclusionCTC assessment by flow cytometry in patients with breast cancer could not only be used for detection but also can be considered as a source of specific and subjective evaluation for monitoring the therapy. Besides, the sensitivity and specificity of CTC detection were shown that could be enhanced by specific CK markers.

Indexed as

Circulating tumor cellsCytokeratinsEpCAMEpithelial cell adhesion moleculeFlow cytometry

Identifiers

PMID32695277
PMCPMC7368115
OpenAlexW3043826080

What OpenQuestion holds

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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.