Evidence map›Paper›PMID 41199286›Full record

ArticleDiagnostic pathology2025

Integrated in-silico and in-vitro analysis of lncRNA H19/miRNA-675/p53 in OSCC: Structural characterization and molecular docking insights.

Ramya Sekar, Selvaraj Jayaraman, Vishnupriya Veeraraghavan, Saranya Varadarajan, Manikandan Alagumuthu, Peramaiyan Rajendran, Bargavi Venkatesalu

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Article in Diagnostic pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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

1 citing paper in PubMed.

  1. Biology · 2026
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4 · The record

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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

7 authors.

Ramya SekarDepartment of Oral & Maxillofacial Pathology and Oral Microbiology, Meenakshi Ammal Dental College and Hospital, Meenakshi Academy of Higher Education and Research (Deemed to Be University), Alapakkam Main Road, Maduravoyal, Chennai-95, India.
Selvaraj JayaramanDepartment of Biochemistry, Centre of Molecular Medicine and Diagnostics (COMManD), Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, 600 077, India. selvarajj.sdc@saveetha.com.
Vishnupriya VeeraraghavanDepartment of Biochemistry, Centre of Molecular Medicine and Diagnostics (COMManD), Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, 600 077, India.
Saranya VaradarajanDepartment of Oral Pathology and Microbiology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Tamil Nadu, Chennai, Tamil Nadu, 600 077, India.
Manikandan AlagumuthuDepartment of Microbiology, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, 602105, India.
Peramaiyan RajendranDepartment of Biochemistry, Centre of Molecular Medicine and Diagnostics (COMManD), Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, 600 077, India.
Bargavi VenkatesaluDepartment of Oral & Maxillofacial Pathology and Oral Microbiology, Meenakshi Ammal Dental College and Hospital, Meenakshi Academy of Higher Education and Research (Deemed to Be University), Alapakkam Main Road, Maduravoyal, Chennai-95, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong non-coding RNAs (lncRNA) H19 has drawn special attention because of its varied role in several malignancies, including OSCC. Therefore, this study was conducted to assess the association between H19-miR675-p53 by in-silico analysis, quantify the expression levels of H19, miRNA-675, and target oncogene p53 in cancerous versus normal individuals, and Correlate the Clinicopathological findings with their expression pattern.

methodsThe secondary structure of lncRNA H19 was predicted using the RNAfold web server ( http://rna.tbi.univie.ac.at/cgi-bin/RNAWebSuite/RNAfold.cgi ). The FASTA sequence of H19 was retrieved from the NCBI database ( https://www.ncbi.nlm.nih.gov/ ). We performed molecular docking studies to analyze the interaction between miRNA-675 and p53 using the MDockPP ( https://zougrouptoolkit.missouri.edu/MDockPP/ ) web server. Real-time PCR was used to measure the amounts of H19 and miR-675, and Immunohistochemistry was used to analyse the pattern of p53 expression.

resultThe study successfully associated miR-675 from the first exon of H19 modulating p53 via in silico analysis. It was found that H19 and miR-675 levels were higher in OSCC patients (3.12 ± 1.16) compared to healthy patients (1.0 ± 0.0), and was statistically significant (p-value < 0.001).

conclusionThe specificity of H19 expression in OSCC compared to normal presents an attractive target for cancer-specific therapies, minimizing the risk of off-target effects.

Indexed as

MicroRNAsMouth NeoplasmsRNA, Long NoncodingSquamous Cell Carcinoma of Head and NeckTumor Suppressor Protein p53AdultAgedFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedMolecular Docking SimulationH19 long non-coding RNAMicroRNAsMIRN675 microRNA, humanRNA, Long NoncodingTP53 protein, humanTumor Suppressor Protein p53Bio-informaticsMicro RNANon-coding RNASquamous cell

Identifiers

PMID41199286
PMCPMC12593852

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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.