Evidence map›Paper›PMID 26383518›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016

A new insight into cancer stem cell markers: Could local and circulating cancer stem cell markers correlate in colorectal cancer?

Alireza Mirzaei, Gholamreza Tavoosidana, Afshin Abdi Rad, Farhad Rezaei, Masoumeh Tavakoli-Yaraki, Azade Amini Kadijani, Ehsan Khalili, Zahra Madjd

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In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. 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
1.1field-weighted citation impact, top 20% 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, 28 citations in OpenAlex.

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  7. DCLK1 autoinhibition and activation in tumorigenesis.Innovation (Cambridge (Mass.)) · 2022
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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

8 authors at 3 institutions in 1 country.

Alireza MirzaeiDepartment of Molecular Medicine, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Eastern side of Tehran University, 88, Italia St, Tehran, Iran.
Gholamreza TavoosidanaDepartment of Molecular Medicine, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Eastern side of Tehran University, 88, Italia St, Tehran, Iran. g-tavoosi@tums.ac.ir.
Afshin Abdi RadSurgical Pathology Department, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran.
Farhad RezaeiDepartment of Virology, Faculty of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Masoumeh Tavakoli-YarakiDepartment of Biochemistry, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Azade Amini KadijaniDepartment of Biotechnology, Faculty of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Ehsan KhaliliDepartment of Clinical Biochemistry, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Zahra MadjdDepartment of Molecular Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran. Zahra.madjd@yahoo.com.
Tehran University of Medical Sciences · IRIran University of Medical Sciences · IRShahid Beheshti University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer stem cell (CSC) markers could serve as potential prognostic procedure. This study is aimed to investigate the local expression of doublecortin-like kinase 1 (DCLK1) and Lgr5 in colorectal cancer tissues (CRC) at both protein and messenger RNA (mRNA) level, followed by providing a comparison of the local and circulating expression pattern of these markers, based on our present and previous study. The mRNA expression level of DCLK1 and Lgr5 was evaluated using comparative real-time PCR method applying 58 fresh tumor tissues and their correspondent normal margins. Immunohistochemistry was applied to analyze the protein expression level of DCLK1 and Lgr5 in paraffin-embedded CRC tissues. The correlation of DCLK1 and Lgr5 expression pattern with clinicopathological characteristics was assessed. A higher mRNA expression level of DCLK1 (3.28-fold change, p < 0.001) and Lgr5 (2.29-fold change, p < 0.001) was observed in CRC fresh tissues compared to the normal adjacent margins, and the expression level was higher in patients with higher grade and stages of disease and patients who underwent neoadjuvant chemoradiotherapy (CRT). The protein expression level of DCLK1 and Lgr5 was also increased significantly in tumor tissues compared to normal colon tissues which were positively correlated to tumor stage and grade and neoadjuvant CRT. Taken together, the results of protein analysis were in accordance with mRNA assessment. The local expression pattern of DCLK1 and Lgr5 was also in accordance with their expression level in circulation. However, some minor inconsistencies were observed which may be attributed to several factors including the possible effect of CRT on CSC reprogramming.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorColorectal NeoplasmsDoublecortin-Like KinasesFemaleHumansIntracellular Signaling Peptides and ProteinsMiddle AgedNeoplasm StagingNeoplastic Cells, CirculatingNeoplastic Stem CellsPrognosisProspective StudiesProtein Serine-Threonine KinasesBiomarkers, TumorDCLK1 protein, humanDoublecortin-Like KinasesIntracellular Signaling Peptides and ProteinsLGR5 protein, humanProtein Serine-Threonine KinasesReceptors, G-Protein-CoupledRNA, MessengerCirculating cancer stem cellColorectal cancerDCLK1Lgr5Local cancer stem cell

Identifiers

PMID26383518
OpenAlexW1957292177

What OpenQuestion holds

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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.