Evidence map›Paper›PMID 23959111›Full record

ArticleArchivum immunologiae et therapiae experimentalis2014

Flow cytometric analysis of CD133- and EpCAM-positive cells in the peripheral blood of patients with lung cancer.

Tomasz Skirecki, Grażyna Hoser, Jerzy Kawiak, Dariusz Dziedzic, Joanna Domagała-Kulawik

Open access · hybridAbstract readComment
In one paragraph

Article in Archivum immunologiae et therapiae experimentalis, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

20 citing papers in PubMed, 29 citations in OpenAlex.

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  14. New Frontiers for Molecular Pathology.Frontiers in medicine · 2019
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Tomasz Skirecki
Grażyna Hoser
Jerzy Kawiak
Dariusz Dziedzic
Joanna Domagała-Kulawik
Postgraduate School of Molecular Medicine · PLInstitute of Biocybernetics and Biomedical Engineering · PLMedical University of Warsaw · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung tumors are characterized by their high metastatic potential, which is the main cause of therapeutic failure. However, the exact cellular origin of metastasis remains unknown. Since the introduction of the cancer stem cell theory, lung cancer stem cells (LCSCs) have been thought to represent metastasis-founding cells. The current study aimed to evaluate whether LCSCs could be found in the circulation. Expression of the stem cell markers CD133 and EpCAM was confirmed in tumor and normal lung tissue by flow cytometry. Then, this technique was further used to investigate the expression of CD133 and EpCAM in the peripheral blood of 41 patients with primary lung cancer. Putative LCSCs (CD133?EpCAM?) were present in 6/7 tumor samples, and CD133?EpCAM? cells were identified in the blood samples of 15 patients at a median level of 40/ml of blood. EpCAM? cells were detected in 60 % of the patients, and the number of these cells was higher in patients with adenocarcinoma than patients with squamous cell carcinoma and was also higher in patients with less advanced disease. Moreover, the frequency of this subpopulation significantly correlated with the circulating level of SSEA-4? cells. Additionally, CD133?EpCAM- cells were found in 87 % of the patients, and the numbers of these cells were significantly higher in patients with distant metastases and correlated with disease stage. This study confirmed the presence of an LCSC subpopulation with a CD133?EpCAM? phenotype in the tumors and blood of patients with lung cancer, and these results suggest an important role for CD133 and EpCAM in lung cancer progression and their potential application as novel biomarkers of the disease.

Indexed as

Breast NeoplasmsFemaleFlow CytometryHumans

Identifiers

PMID23959111
PMCPMC3898538
OpenAlexW2014341006

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.