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Related Concept Videos

MicroRNAs01:22

MicroRNAs

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MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...
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MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening
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Exploring circulating MiRNA signature for osteosarcoma detection: Bioinformatics-based analyzing and validation.

Negar Heidari1, Massoud Vosough2, Abolfazl Bagherifard3

  • 1Department of Cellular and Molecular Biology, Faculty of Sciences and Advanced Technology in Biology, University of Science and Culture, Tehran, Iran.

Pathology, Research and Practice
|October 8, 2024
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Summary

Early detection of osteosarcoma (OS) is challenging. This study identifies four circulating microRNAs (miRNAs) as a promising diagnostic tool for OS, aiding early diagnosis and prognosis.

Keywords:
Circulating miRNAEarly DetectionMicro RNAOsteosarcomaP53 signalingWnt signaling

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Oncology

Background:

  • Early detection and treatment of osteosarcoma (OS) remain critical challenges.
  • Circulating microRNAs (miRNAs) present a non-invasive method for assessing OS molecular profiles.

Purpose of the Study:

  • To identify novel circulating miRNA biomarkers for early osteosarcoma detection.
  • To establish a diagnostic model for differentiating OS patients from healthy individuals.
  • To explore the role of identified miRNAs in OS pathogenesis and prognosis.

Main Methods:

  • Utilized RNA sequencing and PCR Array data from public databases (PRJEB30542, GSE65071).
  • Identified differentially expressed miRNAs using statistical analysis.
  • Developed a diagnostic model via multivariate logistic regression.
  • Performed target gene prediction and functional enrichment analyses.

Main Results:

  • Identified 43 differentially expressed miRNAs in OS plasma samples.
  • A diagnostic panel of four miRNAs (hsa-miR-30a-5p, hsa-miR-556-3p, hsa-miR-200a-3p, hsa-miR-582-5p) showed high diagnostic efficacy (AUC: 0.917).
  • Down-regulation of these miRNAs correlated with poor prognosis and suggested tumor suppressor functions.

Conclusions:

  • The identified four-miRNA signature serves as a promising non-invasive biomarker for osteosarcoma early diagnosis.
  • These miRNAs are implicated in key signaling pathways (P53, Wnt) and OS metastasis.
  • The findings support potential applications in prognosis and targeted therapy for osteosarcoma.