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Identification of differentially expressed genes in MG63 osteosarcoma cells with drug‑resistance by microarray

Rui Chen1, Li-Hong Huang2, Yi-Yao Gao3

  • 1Department of Nuclear Medicine; Changhai Hospital of Shanghai, Shanghai 200433, P.R. China.

Molecular Medicine Reports
|December 21, 2018
PubMed

Insights

Researchers identified 1,300 differentially expressed genes in vincristine-resistant osteosarcoma cells, revealing potential new therapeutic targets for this challenging bone cancer.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genomics

Background:

  • Osteosarcoma is a primary malignant bone tumor with poor prognosis, especially in metastatic or therapy-resistant cases.
  • Mechanisms of drug resistance in osteosarcoma are complex and not fully understood, necessitating identification of novel therapeutic targets.

Purpose of the Study:

  • To compare the transcriptomes of human osteosarcoma cells and vincristine-resistant osteosarcoma cells.
  • To identify differentially expressed genes and associated signaling pathways involved in drug resistance.
  • To provide insights into molecular mechanisms of osteosarcoma drug resistance.

Main Methods:

  • Microarray analysis to compare gene expression profiles of MG63 and MG63/VCR osteosarcoma cell lines.
  • Bioinformatics analysis to predict enriched signaling pathways.
  • Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) to validate selected dysregulated genes.

Main Results:

  • A total of 1,300 genes (602 upregulated, 698 downregulated) were differentially expressed between sensitive and vincristine-resistant osteosarcoma cells.
  • Bioinformatics analysis indicated enrichment in B cell receptor, UVA-induced mitogen-activated protein kinases, and receptor tyrosine kinase 2/3 signaling pathways.
  • Ten dysregulated genes, including roundabout homolog 1, were validated using RT-qPCR.

Conclusions:

  • The study identified significant gene expression differences in drug-resistant osteosarcoma cells.
  • Findings suggest potential candidate biomarkers for osteosarcoma treatment and prognosis.
  • The results offer novel insights into the molecular basis of osteosarcoma drug resistance.
Keywords:
osteosarcomadrug resistancemicroarray analysis

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