Evidence map›Paper›PMID 36718241›Full record

ArticleMolecular biology research communications2022

Upregulation of miR-142 in papillary thyroid carcinoma tissues: a report based on in silico and in vitro analysis.

Sepehr Valizadeh, Mojtaba Zehtabi, Neda Feiziordaklou, Zahra Akbarpour, Amir Mahdi Khamaneh, Mortaza Raeisi

Open access · greenAbstract read
In one paragraph

Article in Molecular biology research communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 58% 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

3 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Expression patterns ofMolecular biology research communications · 2025
    Article
  3. Article
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

6 authors at 1 institution in 1 country.

Sepehr ValizadehDepartment of Internal Medicine, School of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Mojtaba ZehtabiHematology and Oncology Research Center, Tabriz University of Medical.
Neda FeiziordaklouDepartment of Internal Medicine, School of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Zahra AkbarpourSciences, Tabriz, Iran.
Amir Mahdi KhamanehRahat Breathe and Sleep Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Mortaza RaeisiHematology and Oncology Research Center, Tabriz University of Medical.
Tabriz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Papillary thyroid carcinoma (PTC) accounts for approximately 80% of all human thyroid malignancies. Recently, there has been a dramatic rise in the prevalence of thyroid cancer all over the globe. Through analysis of the GEO database, GSE104005, the authors of the current research were able to determine the differential expression of microRNAs (DEMs) as well as their target genes. Real-time PCR was used on a total of 40 samples, 40 of which were from PTC samples and 40 from normal tissues, in order to validate the discovered DEMs and the genes. Gene Ontology (GO) categories were identified, and KEGG was used to conduct pathway enrichment analysis. The multiMiR R package was used to predict target genes of DEMs. Mir-142 was found to be overexpressed in PTC samples, as compared to normal tissues, and this was validated by the identification and validation. In addition, metal ion binding and the cellular response to metal ions were identified as essential pathways in the carcinogenesis of PTC. This demonstrates their significance in the development of this malignancy. The results of our research will serve as the foundation for further research in the area of miRNA-based cancer treatment.

Indexed as

BioinformaticsMicroarray data analysisMicroRNAPapillary thyroid cancer

Identifiers

PMID36718241
PMCPMC9661674
OpenAlexW4318672238

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.