Evidence map›Paper›PMID 41133496›Full record

ArticleMedical sciences (Basel, Switzerland)2025

A Bioinformatics-Driven ceRNA Network in Stomach Adenocarcinoma: Identification of Novel Prognostic mRNA-miRNA-lncRNA Interactions.

Ebtihal Kamal, Zainab Mohammed Mahmoud Omar, Ayman Geddawy, Ahmad A A Omer

Abstract read
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In one paragraph

Article in Medical sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

4 authors.

Ebtihal KamalDepartment of Basic Medical Sciences, College of Medicine, Prince Sattam Bin Abdulaziz University, Alkharj 16278, Saudi Arabia.ORCID 0009-0000-6081-2615
Zainab Mohammed Mahmoud OmarDepartment of Basic Medical Sciences, College of Medicine, Prince Sattam Bin Abdulaziz University, Alkharj 16278, Saudi Arabia.ORCID 0000-0002-1366-6560
Ayman GeddawyDepartment of Basic Medical Sciences, College of Medicine, Prince Sattam Bin Abdulaziz University, Alkharj 16278, Saudi Arabia.ORCID 0000-0002-7070-7234
Ahmad A A OmerDepartment of Surgery, Faculty of Medicine, Prince Sattam Bin Abdul Aziz University, Alkharj 16278, Saudi Arabia.

Funding

Prince Sattam Bin Abdulaziz University PSAU/2024/R/1446
6 · The paper itself

Abstract

backgroundStomach adenocarcinoma is a major contributor to worldwide mortality and significantly impacts life expectancy. The main objective of the current study was to identify a prognostic biomarker for stomach adenocarcinoma to advance translational medicine and improve patient outcomes.

methodvarious databases (GEPIA, UALCAN, miRNet, StarBase, and Kaplan Meier plotter) bioinformatics tools (cytoscape) and were used in this study.

resultsTen novel unfavorable prognosis-associated

conclusionsIn summary, the current study provides an extensive ceRNA network that highlights novel prognostic biomarkers for stomach adenocarcinoma.

Indexed as

AdenocarcinomaComputational BiologyGene Regulatory NetworksMicroRNAsRNA, Long NoncodingRNA, MessengerStomach NeoplasmsBiomarkers, TumorDatabases, GeneticGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimatePrognosisRNA, Competitive EndogenousBiomarkers, TumorMicroRNAsRNA, Competitive EndogenousRNA, Long NoncodingRNA, MessengerbioinformaticsceRNA networkprognostic biomarkerstomach adenocarcinoma

Identifiers

PMID41133496
PMCPMC12551037

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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.