Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

MicroRNAs01:22

MicroRNAs

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 ends...
MicroRNAs01:22

MicroRNAs

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Next-generation GTR/GBR membranes: synergistic effects of nano-hydroxyapatite and vitamin D<sub>3</sub> on osteoinduction and scaffold performance.

Drug delivery and translational research·2026
Same author

Metal-based nanoparticles' potential in Alzheimer's disease diagnosis, therapy and theranostics.

Nanoscale·2026
Same author

Retraction notice to "Gene regulation by antisense transcription: A focus on neurological and cancer diseases" [Biomedicine & Pharmacotherapy 145 (2022) 112265].

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie·2026
Same author

Factors associated with open reduction of pediatric type III supracondylar humerus fractures.

Journal of children's orthopaedics·2026
Same author

Translating Food Biosensing into Practice: Smart Packaging, On-Site Analytics, and AI Integration.

Food research international (Ottawa, Ont.)·2026
Same author

Mechanical signature of cancer cells: From cytoskeletal alterations to cell rheology.

Progress in biophysics and molecular biology·2026

Related Experiment Video

Updated: Jul 7, 2026

Practical Considerations in Studying Metastatic Lung Colonization in Osteosarcoma Using the Pulmonary Metastasis Assay
07:44

Practical Considerations in Studying Metastatic Lung Colonization in Osteosarcoma Using the Pulmonary Metastasis Assay

Published on: March 12, 2018

10.1K

Machine learning and experimental analyses identified miRNA expression models associated with metastatic

Samira Abedi1, Ali Behmanesh2, Farid Najd Mazhar2

  • 1Department of Cellular and Molecular Biology, Faculty of Sciences and Advanced Technology in Biology, University of Science and Culture, Tehran, Iran; Department of Regenerative Medicine, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran.

Biochimica Et Biophysica Acta. Molecular Basis of Disease
|July 21, 2024
PubMed
Summary

New biomarkers, miR-34c-3p and miR-154-3p, show promise for early osteosarcoma metastasis detection. These microRNAs can help differentiate between metastatic and non-metastatic bone cancer, improving diagnostic accuracy.

Keywords:
Differentially expressed miRNAsEarly biomarkersMachine learning algorithmsMetastatic osteosarcoma

More Related Videos

A Preclinical Mouse Model of Osteosarcoma to Define the Extracellular Vesicle-mediated Communication Between Tumor and Mesenchymal Stem Cells
11:15

A Preclinical Mouse Model of Osteosarcoma to Define the Extracellular Vesicle-mediated Communication Between Tumor and Mesenchymal Stem Cells

Published on: May 6, 2018

10.2K
Intratibial Osteosarcoma Cell Injection to Generate Orthotopic Osteosarcoma and Lung Metastasis Mouse Models
04:25

Intratibial Osteosarcoma Cell Injection to Generate Orthotopic Osteosarcoma and Lung Metastasis Mouse Models

Published on: October 28, 2021

9.1K

Related Experiment Videos

Last Updated: Jul 7, 2026

Practical Considerations in Studying Metastatic Lung Colonization in Osteosarcoma Using the Pulmonary Metastasis Assay
07:44

Practical Considerations in Studying Metastatic Lung Colonization in Osteosarcoma Using the Pulmonary Metastasis Assay

Published on: March 12, 2018

10.1K
A Preclinical Mouse Model of Osteosarcoma to Define the Extracellular Vesicle-mediated Communication Between Tumor and Mesenchymal Stem Cells
11:15

A Preclinical Mouse Model of Osteosarcoma to Define the Extracellular Vesicle-mediated Communication Between Tumor and Mesenchymal Stem Cells

Published on: May 6, 2018

10.2K
Intratibial Osteosarcoma Cell Injection to Generate Orthotopic Osteosarcoma and Lung Metastasis Mouse Models
04:25

Intratibial Osteosarcoma Cell Injection to Generate Orthotopic Osteosarcoma and Lung Metastasis Mouse Models

Published on: October 28, 2021

9.1K

Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • Osteosarcoma (OS) is the most common primary bone cancer with high metastatic potential and poor prognosis.
  • Early diagnosis of metastasis is crucial for effective treatment and improved patient outcomes.
  • MicroRNA (miRNA) expression profiles are increasingly recognized for their role in cancer progression and metastasis.

Purpose of the Study:

  • To identify early diagnostic biomarkers for osteosarcoma metastasis using miRNA expression profiles.
  • To develop and validate machine learning-based diagnostic models for differentiating metastatic from non-metastatic osteosarcoma.
  • To explore the potential of identified miRNA signatures in guiding therapeutic strategies.

Main Methods:

  • RNA sequencing and analysis of public microarray data to identify differentially expressed miRNAs in osteosarcoma.
  • Application of seven feature selection algorithms and five machine learning systems for model development.
  • Network analysis and RT-qPCR validation in patient biopsies to confirm miRNA expression levels and diagnostic power.
  • KEGG and Gene Ontology (GO) term enrichment analysis to identify associated biological pathways.

Main Results:

  • miR-34c-3p and miR-154-3p were identified as the most promising diagnostic biomarkers for metastatic osteosarcoma.
  • The combined signature of miR-34c-3p and miR-154-3p demonstrated 90% diagnostic power for osteosarcoma and 85% for metastatic osteosarcoma (AUC=0.90 and 0.85, respectively).
  • Lower expression of miR-34c-3p and miR-154-3p was confirmed in OS samples compared to benign tissues, with a direct correlation to tumor grade.
  • Epithelial-to-mesenchymal transition (EMT), adhesion junction, and focal adhesion pathways were significantly associated with the top miRNAs.

Conclusions:

  • Novel miRNA expression signatures, specifically miR-34c-3p and miR-154-3p, hold significant potential for the early detection of metastatic osteosarcoma.
  • These biomarkers may facilitate quantitative and rapid metastasis detection, aiding in the development of targeted molecular therapies.
  • Further clinical validation is warranted to confirm the utility of miR-34c-3p and miR-154-3p as diagnostic biomarkers for osteosarcoma metastasis.