Evidence map›Paper›PMID 35016698›Full record

ArticleWorld journal of surgical oncology2022

Significant co-expression of putative cancer stem cell markers, EpCAM and CD166, correlates with tumor stage and invasive behavior in colorectal cancer.

Elham Kalantari, Tahereh Taheri, Saba Fata, Maryam Abolhasani, Mitra Mehrazma, Zahra Madjd, Mojgan Asgari

Open access · goldAbstract read
In one paragraph

Article in World journal of surgical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

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  16. Signaling, cancer cell plasticity, and intratumor heterogeneity.Cell communication and signaling : CCS · 2024
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  17. Clinical significance of CD166 and HER-2 in different types of gastric cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
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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

7 authors at 1 institution in 1 country.

Elham Kalantari *Oncopathology Research Center, Iran University of Medical Sciences, Hemmat Street (Highway), Next to Milad Tower, Tehran, 14496-14530, Iran.
Tahereh Taheri *Department of Pathology, Iran University of Medical Sciences, Tehran, Iran.
Saba FataDepartment of Pathology, Iran University of Medical Sciences, Tehran, Iran.
Maryam AbolhasaniOncopathology Research Center, Iran University of Medical Sciences, Hemmat Street (Highway), Next to Milad Tower, Tehran, 14496-14530, Iran.
Mitra MehrazmaOncopathology Research Center, Iran University of Medical Sciences, Hemmat Street (Highway), Next to Milad Tower, Tehran, 14496-14530, Iran.
Zahra MadjdOncopathology Research Center, Iran University of Medical Sciences, Hemmat Street (Highway), Next to Milad Tower, Tehran, 14496-14530, Iran. Zahra.madjd@yahoo.com.ORCID http://orcid.org/0000-0001-7329-2583
Mojgan AsgariOncopathology Research Center, Iran University of Medical Sciences, Hemmat Street (Highway), Next to Milad Tower, Tehran, 14496-14530, Iran. mojgan_asgari@yahoo.com.
Iran University of Medical Sciences · IR

Funding

deputy for research and technology, ministry of health and medical education, ir iran 700/169
6 · The paper itself

Abstract

backgroundThe crucial oncogenic role of cancer stem cells (CSCs) in tumor maintenance, progression, drug resistance, and relapse has been clarified in different cancers, particularly in colorectal cancer (CRC). The current study was conducted to evaluate the co-expression pattern and clinical significance of epithelial cell adhesion molecules (EpCAM) and activated leukocyte cell adhesion (CD166 or ALCAM) in CRC patients.

methodsThis study was carried out on 458 paraffin-embedded CRC specimens by immunohistochemistry on tissue microarray (TMA) slides.

resultsElevated expression of EpCAM and CD166 was observed in 61.5% (246/427) and 40.5% (164/405) of CRC cases. Our analysis showed a significant positive association of EpCAM expression with tumor size (P = 0.02), tumor stage (P = 0.007), tumor differentiate (P = 0.005), vascular (P = 0.01), neural (P = 0.01), and lymph node (P = 0.001) invasion. There were no significant differences between CD166 expression and clinicopathological parameters. Moreover, the combined analysis demonstrated a reciprocal significant correlation between EpCAM and CD166 expression (P = 0.02). Interestingly, there was a significant positive correlation between EpCAM/CD166 phenotypes expression and tumor stage (P = 0.03), tumor differentiation (P = 0.05), neural, and lymph node invasion (P =0.01).

conclusionsThe significant correlation of EpCAM and CD166 expression and their association with tumor progression and aggressive behavior is the reason for the suggestion of these two CSC markers as promising targets to promote novel effective targeted-therapy strategies for cancer treatment in the present study.

Indexed as

Colorectal NeoplasmsActivated-Leukocyte Cell Adhesion MoleculeAntigens, CDBiomarkers, TumorCell Adhesion Molecules, NeuronalEpithelial Cell Adhesion MoleculeFetal ProteinsHumansNeoplasm InvasivenessNeoplasm Recurrence, LocalNeoplasm StagingNeoplastic Stem CellsPrognosisActivated-Leukocyte Cell Adhesion MoleculeALCAM protein, humanAntigens, CDBiomarkers, TumorCell Adhesion Molecules, NeuronalEPCAM protein, humanEpithelial Cell Adhesion MoleculeFetal ProteinsCancer stem cellsCD166Colorectal cancerEpCAMTissue microarray

Identifiers

PMID35016698
PMCPMC8751119
OpenAlexW4206437849

What OpenQuestion holds

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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.