iTRAQ-based quantitative proteomic analysis of cervical cancer

  • Authors:
    • Yibing Ding
    • Min Yang
    • Sha She
    • Haiyan Min
    • Xiaoming Xv
    • Xiaoping Ran
    • Yongzheng Wu
    • Wei Wang
    • Lei Wang
    • Long Yi
    • Yixuan Yang
    • Qian Gao
  • View Affiliations

  • Published online on: January 29, 2015     https://doi.org/10.3892/ijo.2015.2859
  • Pages: 1748-1758
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Abstract

Cervical cancer is the seventh most common cancer overall and the third among females. To obtain systematic insight into the protein profile that participates in cervical tumor oncogenesis and improve the current target therapies, iTRAQ labeling and NanoLC-MS/MS analysis were utilized to detect differentially expressed proteins in cervical cancer. As a result, 3,647 proteins were identified, among which the expression levels of 294 proteins in cervical cancer samples were distinct from the paired non-tumor samples. Further validation of the differentially expressed proteins, including G6PD, ALDH3A1, STAT1 and HSPB1, was carried out via qRT-PCR, western blot analysis and tissue microarray. Functional analysis of one of the highly expressed proteins, G6PD, was performed using RNA interference. Attenuated G6PD expression reduced the capacity of HeLa cells to migrate and invade in vitro. Our investigation complemented the understanding of cervical cancer progression. Furthermore, the present study supports the notion that suppressing the expression of G6PD may be a promising strategy in developing novel cancer therapeutic drugs.
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April-2015
Volume 46 Issue 4

Print ISSN: 1019-6439
Online ISSN:1791-2423

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Copy and paste a formatted citation
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Spandidos Publications style
Ding Y, Yang M, She S, Min H, Xv X, Ran X, Wu Y, Wang W, Wang L, Yi L, Yi L, et al: iTRAQ-based quantitative proteomic analysis of cervical cancer. Int J Oncol 46: 1748-1758, 2015
APA
Ding, Y., Yang, M., She, S., Min, H., Xv, X., Ran, X. ... Gao, Q. (2015). iTRAQ-based quantitative proteomic analysis of cervical cancer. International Journal of Oncology, 46, 1748-1758. https://doi.org/10.3892/ijo.2015.2859
MLA
Ding, Y., Yang, M., She, S., Min, H., Xv, X., Ran, X., Wu, Y., Wang, W., Wang, L., Yi, L., Yang, Y., Gao, Q."iTRAQ-based quantitative proteomic analysis of cervical cancer". International Journal of Oncology 46.4 (2015): 1748-1758.
Chicago
Ding, Y., Yang, M., She, S., Min, H., Xv, X., Ran, X., Wu, Y., Wang, W., Wang, L., Yi, L., Yang, Y., Gao, Q."iTRAQ-based quantitative proteomic analysis of cervical cancer". International Journal of Oncology 46, no. 4 (2015): 1748-1758. https://doi.org/10.3892/ijo.2015.2859