Open Access

Gene expression profiling analysis of ovarian cancer

  • Authors:
    • Ji‑Gang Yin
    • Xian‑Ying Liu
    • Bin Wang
    • Dan‑Yang Wang
    • Man Wei
    • Hua Fang
    • Mei Xiang
  • View Affiliations

  • Published online on: June 1, 2016     https://doi.org/10.3892/ol.2016.4663
  • Pages: 405-412
  • Copyright: © Yin et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

As a gynecological oncology, ovarian cancer has high incidence and mortality. To study the mechanisms of ovarian cancer, the present study analyzed the GSE37582 microarray. GSE37582 was downloaded from Gene Expression Omnibus and included data from 74 ovarian cancer cases and 47 healthy controls. The differentially‑expressed genes (DEGs) were screened using linear models for microarray data package in R and were further screened for functional annotation. Next, Gene Ontology and pathway enrichment analysis of the DEGs was conducted. The interaction associations of the proteins encoded by the DEGs were searched using the Search Tool for the Retrieval of Interacting Genes, and the protein‑protein interaction (PPI) network was visualized by Cytoscape. Moreover, module analysis of the PPI network was performed using the BioNet analysis tool in R. A total of 284 DEGs were screened, consisting of 145 upregulated genes and 139 downregulated genes. In particular, downregulated FBJ murine osteosarcoma viral oncogene homolog (FOS) was an oncogene, while downregulated cyclin‑dependent kinase inhibitor 1A (CDKN1A) was a tumor suppressor gene and upregulated cluster of differentiation 44 (CD44) was classed as an ‘other’ gene. The enriched functions included collagen catabolic process, stress‑activated mitogen‑activated protein kinases cascade and insulin receptor signaling pathway. Meanwhile, FOS (degree, 15), CD44 (degree, 9), B‑cell CLL/lymphoma 2 (BCL2; degree, 7), CDKN1A (degree, 7) and matrix metallopeptidase 3 (MMP3; degree, 6) had higher connectivity degrees in the PPI network for the DEGs. These genes may be involved in ovarian cancer by interacting with other genes in the module of the PPI network (e.g., BCL2‑FOS, BCL2‑CDKN1A, FOS‑CDKN1A, FOS‑CD44, MMP3‑MMP7 and MMP7‑CD44). Overall, BCL2, FOS, CDKN1A, CD44, MMP3 and MMP7 may be correlated with ovarian cancer.
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July-2016
Volume 12 Issue 1

Print ISSN: 1792-1074
Online ISSN:1792-1082

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Copy and paste a formatted citation
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Spandidos Publications style
Yin JG, Liu XY, Wang B, Wang DY, Wei M, Fang H and Xiang M: Gene expression profiling analysis of ovarian cancer. Oncol Lett 12: 405-412, 2016
APA
Yin, J., Liu, X., Wang, B., Wang, D., Wei, M., Fang, H., & Xiang, M. (2016). Gene expression profiling analysis of ovarian cancer. Oncology Letters, 12, 405-412. https://doi.org/10.3892/ol.2016.4663
MLA
Yin, J., Liu, X., Wang, B., Wang, D., Wei, M., Fang, H., Xiang, M."Gene expression profiling analysis of ovarian cancer". Oncology Letters 12.1 (2016): 405-412.
Chicago
Yin, J., Liu, X., Wang, B., Wang, D., Wei, M., Fang, H., Xiang, M."Gene expression profiling analysis of ovarian cancer". Oncology Letters 12, no. 1 (2016): 405-412. https://doi.org/10.3892/ol.2016.4663