Evidence map›Paper›PMID 28533502›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2017

Clinical Value and Prospective Pathway Signaling of MicroRNA-375 in Lung Adenocarcinoma: A Study Based on the Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) and Bioinformatics Analysis.

Ting-Qing Gan, Wen-Jie Chen, Hui Qin, Su-Ning Huang, Li-Hua Yang, Ye-Ying Fang, Lin-Jiang Pan, Zu-Yun Li, Gang Chen

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

26 citing papers in PubMed, 49 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Ting-Qing GanDepartment of Medical Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China (mainland).
Wen-Jie ChenDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China (mainland).
Hui QinDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China (mainland).
Su-Ning HuangDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China (mainland).
Li-Hua YangDepartment of Medical Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China (mainland).
Ye-Ying FangDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China (mainland).
Lin-Jiang PanDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China (mainland).
Zu-Yun LiDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China (mainland).
Gang ChenDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China (mainland).
Guangxi Medical University · CNFirst Affiliated Hospital of GuangXi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Lung adenocarcinoma (LUAD) is the most frequent lung cancer. MicroRNAs (miRNAs) are believed to have fundamental roles in tumorigenesis of LUAD. Although miRNAs are broadly recognized in LUAD, the role of microRNA-375 in LUAD is still not fully elucidated. MATERIAL AND METHODS We evaluated the significance of miR-375 expression in LUAD by using analysis of a public dataset from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database and a literature review. Furthermore, we investigated the biological function of miR-375 by gene ontology enrichment and target prediction analysis. RESULTS MiR-375 expression was significantly higher in LUAD by TCGA data compared to normal lung tissue (p<0.0001). In addition, a common pattern of upregulation for miR-375 in LUAD was found in our review of the literature. A total of 682 genes, both LUAD-related and miR-375-related, were obtained from the analytical integration. Critical pathways were unveiled in the network analysis of the overlaps, such as pentose and glucuronate interconversions, ascorbate and aldarate metabolism, and starch and sucrose metabolism. Furthermore, we identified covert miR-375 associated genes that might participate in LUAD by network analysis, such as FGF2 (fibroblast growth factor 2), PAX6 (paired box 6), and RHOJ. The expression of these three genes were all downregulated in LUAD. Finally, FGF2 was revealed to be negatively correlated with miR-375 in LUAD (r=-0.1821, p=0.0001). CONCLUSIONS Overall, our study provides evidence that miR-375 is essential for the progression of LUAD.

Indexed as

Computational BiologyGene Expression Regulation, NeoplasticAdenocarcinomaAdenocarcinoma of LungCohort StudiesDatabases, GeneticFemaleGene Expression ProfilingGene OntologyHumansLungLung NeoplasmsMaleMicroRNAsMiddle AgedProspective StudiesMicroRNAsMIRN375 microRNA, human

Identifiers

PMID28533502
PMCPMC5448611
OpenAlexW2618081500

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.