Microarray-based detection and expression analysis of new genes associated with drug resistance in ovarian cancer

Radosław Januchowski1, Karolina Sterzyńska1, Piotr Zawierucha1,2

  • 1Department of Histology and Embryology, Poznań University of Medical Sciences, Poznań, 60-781, Poland.

Oncotarget
|June 15, 2017
PubMed
Abstract

Insights

Researchers identified new genes linked to ovarian cancer drug resistance. Microarray analysis revealed altered gene expression in cells resistant to cisplatin, doxorubicin, and paclitaxel, offering potential therapeutic targets.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Ovarian cancer remains a leading cause of cancer-related mortality in women.
  • Acquired resistance to chemotherapy is a major challenge in treating ovarian cancer.
  • Identifying novel genes associated with drug resistance is crucial for developing effective therapeutic strategies.

Purpose of the Study:

  • To discover novel genes implicated in the development of drug resistance in ovarian cancer.
  • To analyze gene expression alterations in response to common chemotherapeutic agents.

Main Methods:

  • Gene expression profiling using microarray analysis in ovarian cancer cell lines (W1, A2780) resistant to cisplatin, doxorubicin, topotecan, and paclitaxel.
  • Validation of protein expression for selected genes in ovarian cancer patient samples using immunohistochemistry.

Main Results:

  • Alterations in the expression of 22 genes were common across cell lines resistant to the same drug.
  • Upregulation of 13 genes and downregulation of 9 genes were observed.
  • Specific gene expression changes were identified for cisplatin-resistant (e.g., ABCC6, BST2, ERAP2, MCTP1 downregulated) and paclitaxel-resistant (e.g., ABCB1, EPHA7 upregulated; LIPG, MCTP1 downregulated) cell lines.
  • Upregulated expression of ABCB1, ABCB4, and IFI16 in doxorubicin-resistant cells.
  • Increased expression of ABCG2, HERC5, IFIH1, MYOT, S100A3, SAMD4A, SPP1, and TGFBI in topotecan-resistant cells.
  • Protein expression of EPHA7, IFI16, SPP1, and TGFBI was confirmed in patient samples.

Conclusions:

  • The study identified novel candidate genes associated with resistance to first- and second-line chemotherapy drugs in ovarian cancer.
  • These findings provide a basis for further investigation into the mechanisms of drug resistance and the development of targeted therapies.