Evidence map›Paper›PMID 40688504›Full record

ArticleBiochemistry and biophysics reports2025

Investigating miR-30a's tumor suppressor role and its targets (MYBL2, TWF1, GALNT7, PFN2) as prognostic biomarkers in lung adenocarcinoma.

Yunus Sahin, Zekiye Altan, Khandakar A S M Saadat, Masa-Aki Ikeda, Ahmet Arslan

Abstract read
In one paragraph

Article in Biochemistry and biophysics reports, 2025. 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
–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

2 citing papers in PubMed.

  1. METTL3-mediated mMolecular cancer · 2026
    Article
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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

5 authors.

Yunus SahinDepartment of Medical Biology, Faculty of Medicine, Gaziantep University, Gaziantep, Turkey.
Zekiye AltanDepartment of Medical Biology, Faculty of Medicine, Gaziantep University, Gaziantep, Turkey.
Khandakar A S M SaadatDepartment of Medical Biology, Faculty of Medicine, Gaziantep University, Gaziantep, Turkey.
Masa-Aki IkedaDepartment of Molecular Craniofacial Embryology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
Ahmet ArslanDepartment of Medical Genetics, Faculty of Medicine, Research and Application Hospital, Tekirdag Namık Kemal University, Suleymanpasa, Tekirdag, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung adenocarcinoma (LUAD), the most prevalent subtype of non-small cell lung cancer, is a significant cause of cancer-related mortality due to late-stage diagnoses and limited treatment options. Identifying effective biomarkers is crucial for improving prognosis and therapeutic strategies. miR-30a-5p has emerged as a potential tumor suppressor in LUAD, yet its exact role remains unclear. In this study, we analyzed three miRNA expression datasets from the GEO database and confirmed miR-30a downregulation in LUAD through TCGA and qRT-PCR validation. We identified MYBL2, TWF1, GALNT7, and PFN2 as oncogenic targets of miR-30a by integrating miRNA target predictions with gene expression data. Expression and survival analyses revealed an inverse relationship between miR-30a and these targets, with high expression levels correlating with poor patient outcomes. Functional enrichment analysis highlighted pathways in cell cycle regulation and actin cytoskeleton organization. Our findings underscore the significance of the miR-30a regulatory network in LUAD progression, positioning miR-30a and its targets as promising prognostic biomarkers and therapeutic targets.

Indexed as

BioinformaticsLung adenocarcinomaMicroRNAmiR-30aPrognostic biomarkers

Identifiers

PMID40688504
PMCPMC12274725

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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.