ArticleScientific reports2020
MicroRNA hsa-mir-3923 serves as a diagnostic and prognostic biomarker for gastric carcinoma.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 14 citations in OpenAlex.
- Crosstalk between KRAS and miRNAs in pancreatic cancer: Opportunities for its diagnosis, prognosis and therapeutic intervention (Review).International journal of oncology · 2026Review
- Long non-coding RNA NR2F1-AS1: an increasingly significant LncRNA in human cancers.Journal of physiology and biochemistry · 2025Review
- miR-3662 targets CAB39L to promote proliferation and invasion in gastric cancer.Clinical and experimental medicine · 2025Article
- Biomarkers of gastric cancer: current advancement.Heliyon · 2022Review
- Regulatory Effect of let-7f Transfection in Non-Small Cell Lung Cancer on its Candidate Target Genes.Iranian biomedical journal · 2022Article
- The emerging potentials of lncRNA DRAIC in human cancers.Frontiers in oncology · 2022Review
- Update on molecular biomarkers for diagnosis and prediction of prognosis and treatment responses in gastric cancer.Histology and histopathology · 2021Review
- Classifying Breast Cancer Subtypes Using Deep Neural Networks Based on Multi-Omics Data.Genes · 2020Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gastric carcinoma (GC) refers to a common digestive system disease that exhibits a very high incidence. MicroRNA hsa-mir-3923 belongs to a type of miRNA, of which the function has been merely investigated in breast, pancreatic cancers and pre-neoplasic stages of gastric cancer. It has not been studied or reported in gastric carcinoma, so the relationship between gastric hsa-mir-3923 expression and the clinics feature and pathology of GC cases was examined. This study employed data mining for analyzing gastric carcinoma data in The Cancer Genome Atlas database. A Chi squared test was performed for assessing the relations of hsa-mir-3923 expression with clinics-related and pathology-regulated variables. This study conducted the assessment of the role of hsa-mir-3923 in prognostic process using Kaplan-Meier curves, Receiver operating characteristic (ROC) analysis and proportional hazards model (Cox) study. With the use of Gene Expression Omnibus, this study carried out gene set enrichment analysis (GSEA). In the meantime, the common miRNA database was compared to predict potential target genes; as revealed by co-expression analysis, a regulatory network probably existed, containing hsa-mir-3923. For the analysis of the most tightly associated cytological behavior and pathway in GC, this study adopted the databases for Annotation, Visualization and Integrated Discovery (David) and KO-Based Annotation System (KOBAS). Cytoscape, R and STRING were employed for mapping probable regulatory networks displaying relations to hsa-mir-3923. Lastly, we obtained 69 genes most tightly associated with hsa-mir-3923 and described their relationship with Circos plot. As revealed from the results, hsa-mir-3923 displayed up-regulation in gastric carcinoma, and it displayed associations with vital status, N stage and histologic grade when being expressed. The predicted results of miRNA target genes suggested that there may be a close relationship between 66 genes and hsa-mir-3923 in gastric cancer. As indicated from co-expression data, a small regulating network of 4 genes probably existed. Our results elucidated that hsa-mir-3923 high-expression reveals poor prognosis of GC patients.
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