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Screening candidate microRNA-mRNA network for predicting the response to chemoresistance in osteosarcoma by

Penggao Dai1, Yancheng He1, Guosong Luo2

  • 1College of Preclinical Medicine, Southwest Medical University, Luzhou, Sichuan, China.

Journal of Cellular Biochemistry
|May 16, 2019
PubMed

Insights

This study identifies novel microRNA (miRNA) and messenger RNA (mRNA) network biomarkers for predicting chemoresistance in osteosarcoma patients. These biomarkers offer improved predictive power for targeted treatments and patient prognosis.

Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • Osteosarcoma chemoresistance necessitates novel biomarkers for effective treatment strategies.
  • MicroRNAs (miRNAs) and messenger RNAs (mRNAs) play crucial roles in cancer progression and drug response.

Purpose of the Study:

  • To identify and validate network biomarkers involving miRNAs and mRNAs associated with osteosarcoma chemoresistance.
  • To explore the potential of these biomarkers in predicting patient prognosis and guiding chemotherapy decisions.

Main Methods:

  • Differential expression analysis of miRNA and mRNA profiles.
  • Bioinformatic analyses including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and protein-protein interaction (PPI) network construction.
  • Survival analysis to assess the prognostic significance of identified biomarkers.

Main Results:

  • Identified differentially expressed miRNAs and their target mRNAs linked to osteosarcoma chemoresistance.
  • Screened subnetworks and hub RNAs within the PPI network, showing significant association with drug resistance.
  • Discovered 12 key mRNAs and confirmed that most identified hub and key mRNAs significantly influenced patient prognosis.
  • Constructed a comprehensive miRNA-mRNA network, demonstrating superior predictive power compared to single-molecule biomarkers.

Conclusions:

  • The developed miRNA-mRNA network biomarkers show promise for predicting osteosarcoma chemoresistance and patient outcomes.
  • These findings can aid in selecting appropriate chemotherapy regimens and improving prognostic predictions for osteosarcoma patients.
Keywords:
bioinformatics analysisbiomarkerschemoresistancemicroRNA-mRNA networkosteosarcoma

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