Evidence map›Paper›PMID 34923811›Full record

ArticleIranian biomedical journal2022

Dysregulated Expression of Long Non-Coding RNA MINCR and EZH2 in Colorectal Cancer

Sajjad Cheraghi, Hamid Asadzadeh, GholamReza Javadi

Open access · greenAbstract read
In one paragraph

Article in Iranian biomedical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
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 2 institutions in 1 country.

Sajjad CheraghiDepartment of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Hamid AsadzadehBasic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
GholamReza JavadiDepartment of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Islamic Azad University, Science and Research Branch · IRShahid Beheshti University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As critical regulators, lncRNAs have attracted attention from researchers for diagnostic, prognostic, and therapeutic purposes in human carcinogenesis via interfering with mRNAs such as EZH2. Nevertheless, the potent roles and molecular mechanisms of these RNAs in CRC are not clearly known. Methods: In this study, the tissue expressions of lncRNA MINCR and EZH2 mRNA between colorectal tumors and polyps were compared with the adjacent normal tissues collected from 114 Iranian patients, using real-time PCR method. Furthermore, the correlation of the expression levels of MINCR and EZH2 with other clinical parameters was evaluated. Results: The significant overexpression of MINCR and EZH2 were observed in the CRC tissues compared to control tissues (p < 0.0001). This observation confirmed the association of these expression enhancements with the pathological stage of CRC patients. Conclusion: Our findings revealed that the expression of MINCR significantly alters during CRC development, and it can be identified as a potential biomarker for the detection of CRC.

Indexed as

AdultAgedColorectal NeoplasmsEnhancer of Zeste Homolog 2 ProteinFemaleGene Expression Regulation, NeoplasticHumansIranMaleMiddle AgedRNA, Long NoncodingEnhancer of Zeste Homolog 2 ProteinEZH2 protein, humanlong non-coding RNA MINCR, humanRNA, Long NoncodingColorectal cancerEZH2Long non-coding RNA

Identifiers

PMID34923811
PMCPMC8784897
OpenAlexW4200190958

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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.