ArticleInternational journal of molecular sciences2020
miR-365 (microRNA): Potential Biomarker in Oral Squamous Cell Carcinoma Exosomes and Extracellular Vesicles.
Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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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.
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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.
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Who cites it
22 citing papers in PubMed, 37 citations in OpenAlex.
- Salivary MicroRNAs as Innovative Biomarkers for Diagnosis and Prediction of the Oral Potentially Malignant Disorders Transition Towards Oral Cancer: A Systematic Review.Journal of clinical medicine · 2025Review
- Diagnostic and therapeutic potential of oral cavity-derived exosomes in oral and maxillofacial tissue engineering: current advances and future perspectives.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- Salivary Extracellular Vesicles Separation: Analysis of Ultracentrifugation-Based Protocols.Oral diseases · 2025Article
- Exploring the promise of regulator of G Protein Signaling 20: insights into potential mechanisms and prospects across solid cancers and hematological malignancies.Cancer cell international · 2024Review
- m6A-dependent mature miR-151-5p accelerates the malignant process of HNSCC by targeting LYPD3.Molecular biomedicine · 2024Article
- Downstream Target Analysis for miR-365 among Oral Squamous Cell Carcinomas Reveals Differential Associations with Chemoresistance.Life (Basel, Switzerland) · 2024Article
- Emerging roles of exosomes in oral diseases progression.International journal of oral science · 2024Review
- Exosome-based engineering strategies for the diagnosis and treatment of oral and maxillofacial diseases.Journal of nanobiotechnology · 2023Review
- Review
- Potassium Channels, Glucose Metabolism and Glycosylation in Cancer Cells.International journal of molecular sciences · 2023Review
- Administration of Epidermal Growth Factor (EGF) and Basic Fibroblast Growth Factor (bFGF) to Induce Neural Differentiation of Dental Pulp Stem Cells (DPSC) Isolates.Biomedicines · 2023Article
- Chemotherapeutic Drug Resistance Associated with Differential miRNA Expression of miR-375 and miR-27 among Oral Cancer Cell Lines.International journal of molecular sciences · 2023Article
- Extracellular vesicles in oral squamous cell carcinoma: current progress and future prospect.Frontiers in bioengineering and biotechnology · 2023Review
- Study on the mechanism of SALL4 down-regulation in promoting the invasion and migration of oral squamous cell carcinoma and influencing the survival and prognosis of patients.Annals of translational medicine · 2022Article
- More than a Bubble: Extracellular Vesicle microRNAs in Head and Neck Squamous Cell Carcinoma.Cancers · 2022Review
- CD44 Expression Intensity Marks Colorectal Cancer Cell Subpopulations with Different Extracellular Vesicle Release Capacity.International journal of molecular sciences · 2022Article
- Exosomes: Potential Biomarkers and Functions in Head and Neck Squamous Cell Carcinoma.Frontiers in molecular biosciences · 2022Review
- Natural products exert anti-tumor effects by regulating exosomal ncRNA.Frontiers in oncology · 2022Review
- Role of Salivary MicroRNA and Cytokines in the Diagnosis and Prognosis of Oral Squamous Cell Carcinoma.International journal of molecular sciences · 2021Review
- Assessment of MicroRNA (miR)-365 Effects on Oral Squamous Carcinoma Cell Line Phenotypes.Biomolecules · 2021Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
introductionmiR-365 is a non-coding microRNA that regulates transcription and has been demonstrated to promote oncogenesis and metastasis in some cancers, while suppressing these effects in others. Many microRNAs are produced and then exported extracellularly in exosomes, which are small extracellular vesicles ranging from 30 to 100 nm that are found in eukaryotic fluids and facilitate many cellular functions. Exosomes and extracellular vesicles are produced by many cell types, including oral cancer cells-although no study to date has evaluated miR-365 and oral cancer exosomes or extracellular vesicles. Based on this information, our research question was to evaluate whether oral cancers produce exosomes or extracellular vesicles containing miR-365. MATERIALS AND
methodsTwo commercially available oral cancer cell lines (SCC25 and CAL27) and a normal oral keratinocyte (OKF4) were grown in serum-free media, supplemented with exosome-depleted fetal bovine serum. Extracellular vesicles and exosomes were then isolated using the Invitrogen total exosome RNA and protein isolation kit for processing using the hsa-miR-365a-5p microRNA qPCR assay kit.
resultsRNA was successfully isolated from the exosome-depleted supernatant from each cell line-SCC9, SCC15, SCC25, and CAL27 (oral squamous cell carcinomas) and OKF4 (oral epithelial cell line). Relative concentrations of RNA were similar among each cell line, which were not significantly different,
conclusionsThese results confirm that miR-365 is not only expressed in oral cancer cell lines, but also is subsequently exported into exosomes and extracellular vesicles derived from these cultures. These data may help to contextualize the potential for this microRNA to contribute to the phenotypes and behaviors of oral cancers that express this microRNA. Future research will begin to investigate these potential mechanisms and pathways and to determine if miR-365 may be useful as an oral cancer biomarker for salivary or liquid biopsies.
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Registered trials
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.