Open Access

Identification of proteins associated with paclitaxel resistance of epithelial ovarian cancer using iTRAQ‑based proteomics

  • Authors:
    • Yuanjing Wang
    • Hongxia Li
  • View Affiliations

  • Published online on: April 27, 2018     https://doi.org/10.3892/ol.2018.8600
  • Pages: 9793-9801
  • Copyright: © Wang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Chemotherapy is an important adjuvant therapy for epithelial ovarian cancer (EOC). The main cause of chemotherapy failure in EOC is paclitaxel resistance. The present study aimed to identify novel biomarkers to predict chemosensitivity to paclitaxel and improve our understanding of the molecular mechanisms underlying paclitaxel resistance in EOC. In the present study, the heterogeneity of EOC was evaluated by adenosine triphosphate‑tumor chemosensitivity assay (ATP‑TCA) in vitro. Fresh samples were collected from 54 EOC cases during cytoreductive surgery. Tumor cells were isolated, cultured, and tested for sensitivity to paclitaxel. Proteins that were differentially expressed between paclitaxel‑resistant tissues and paclitaxel‑sensitive tissues were identified via isobaric tags for relative and absolute quantitation (iTRAQ)‑based proteomic analysis. Two upregulated proteins, plexin domain containing 2 (Plxdc2) and cytokeratin 7 (CK7), were selected to verify the iTRAQ method using western blot analysis in EOC tissues with different chemosensitivities (sensitive, weakly sensitive and resistant). There was notable heterogeneity of chemosensitivity in the EOC specimens. Highly to mildly‑differentiated or early‑stage (I/II) EOC specimens had decreased sensitivity to paclitaxel compared with specimens with low differentiation (P<0.05) or an advanced stage (III; P<0.05), respectively. A total of 496 significantly differentially expressed proteins, including 263 that were downregulated (P<0.05) and 233 that were upregulated (P<0.05) in paclitaxel‑resistant tissues compared with paclitaxel‑sensitive tissues, were identified using iTRAQ in combination with LC‑MS/MS. The expression levels of two proteins associated with paclitaxel resistance, Plxdc2 and CK7, were further validated by western blotting, which revealed that they were upregulated in the paclitaxel‑resistant tissues. The present study determined candidate proteins associated with paclitaxel resistance in EOC. Plxdc2 and CK7 may be potential makers for distinguishing patients with paclitaxel‑resistant EOC from those with paclitaxel‑sensitive EOC.
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June-2018
Volume 15 Issue 6

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

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Spandidos Publications style
Wang Y and Wang Y: Identification of proteins associated with paclitaxel resistance of epithelial ovarian cancer using iTRAQ‑based proteomics. Oncol Lett 15: 9793-9801, 2018
APA
Wang, Y., & Wang, Y. (2018). Identification of proteins associated with paclitaxel resistance of epithelial ovarian cancer using iTRAQ‑based proteomics. Oncology Letters, 15, 9793-9801. https://doi.org/10.3892/ol.2018.8600
MLA
Wang, Y., Li, H."Identification of proteins associated with paclitaxel resistance of epithelial ovarian cancer using iTRAQ‑based proteomics". Oncology Letters 15.6 (2018): 9793-9801.
Chicago
Wang, Y., Li, H."Identification of proteins associated with paclitaxel resistance of epithelial ovarian cancer using iTRAQ‑based proteomics". Oncology Letters 15, no. 6 (2018): 9793-9801. https://doi.org/10.3892/ol.2018.8600