Evidence map›Paper›PMID 40765782›Full record

ArticleIranian journal of public health2025

Increased Expression of

Ensieh Sagheb Sadeghi, Zahra Amrollahy Bioky, Mahsa Hokmabadi, Samira Asadollahi, Fatemeh Sarhadi, Nasrin Fattahi Dolatabadi, Atefeh Zamani, Mohammad Mahdevar, Maryam Peymani

Abstract read
In one paragraph

Article in Iranian journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Ensieh Sagheb SadeghiDepartment of Biology, Neyshabur Branch, Islamic Azad University, Neyshabur, Iran.
Zahra Amrollahy BiokyGene Raz Bu Ali, Genetic and Biotechnology Academy, Isfahan, Iran.
Mahsa HokmabadiGene Raz Bu Ali, Genetic and Biotechnology Academy, Isfahan, Iran.
Samira AsadollahiGene Raz Bu Ali, Genetic and Biotechnology Academy, Isfahan, Iran.
Fatemeh SarhadiGene Raz Bu Ali, Genetic and Biotechnology Academy, Isfahan, Iran.
Nasrin Fattahi DolatabadiGene Raz Bu Ali, Genetic and Biotechnology Academy, Isfahan, Iran.
Atefeh ZamaniGene Raz Bu Ali, Genetic and Biotechnology Academy, Isfahan, Iran.
Mohammad MahdevarDepartment of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Maryam PeymaniDepartment of Biology, Faculty of Basic Sciences, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to find pseudogenes with significant expression alterations in gastric cancer (GC) that could be implicated in the disease's development via the competing endogenous RNAs (ceRNAs) network. Methods: Pseudogenes, mRNAs, and microRNAs, whose expression changes considerably in GC specimens, were identified using the Cancer Genome Atlas (TCGA) data from 2006 to 2017 (USA). The ceRNAs network was constructed using the miRWalk, miRTarBase, and DIANA-LncBase. The cox regression test was performed to assess the correlation between candidate genes and patient prognosis. Finally, using the RT-qPCR method, the in-silico results were evaluated using GC samples and adjacent normal. Samples were collected from Imam Khomeini Hospital in Tehran (Iran) between 2020 and 2021. Results: In the cancer samples compared to the normal ones, there were 86 miRNAs, 1985 mRNAs, and 33 pseudogenes showing expression alterations, either more than or less than a twofold difference. Constructed ceRNA network demonstrated that pseudogenes such as Conclusion: The expression of

Indexed as

ceRNAs networkGene expressionMicroRNAsPseudogenes

Identifiers

PMID40765782
PMCPMC12319449

What OpenQuestion holds

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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.