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Article Open Access

A three-gene novel predictor for improving the prognosis of cervical cancer

  • Authors:
    • Ting-Ting Ding
    • Hu Ma
    • Ji-Hong Feng
  • View Affiliations / Copyright

    Affiliations: Department of Oncology, Tumor Hospital, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou 563000, P.R. China, Department of Oncology, Taizhou Municipal Hospital, The Affiliated Hospital of Medical College of Taizhou University, Taizhou, Zhejiang 318000, P.R. China
    Copyright: © Ding et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 4907-4915
    |
    Published online on: September 5, 2019
       https://doi.org/10.3892/ol.2019.10815
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Abstract

Cervical cancer is the most common gynecological malignancy, the third most common malignant tumor in women worldwide, and the most common malignant tumor among Chinese women. However, despite continuous improvement in medical treatment, the number of cervical cancer cases in China is on the increase annually, consistent with the general trend in global cervical cancer incidence. Therefore, it is particularly important to study the pathogenesis of cervical cancer at the genetic level in China. The aim of the present study was to use the TCGA database to identify potential genetic signatures that could predict the prognosis of patients with cervical cancer and provide evidence supporting clinical genetic intervention in cervical cancer. Primarily, an effective three-gene signature was found that predicts prognosis in patients with cervical cancer. This model can provide prima facie evidence for future assessment of patient risk and prognosis, but further testing is required to improve its accuracy. Our results also suggested that centromere protein M, methionine sulfoxide reductase B3 and Zic family member 2 could be promising biomarkers for the prognosis of cervical cancer.
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Copy and paste a formatted citation
Spandidos Publications style
Ding T, Ma H and Feng J: A three-gene novel predictor for improving the prognosis of cervical cancer. Oncol Lett 18: 4907-4915, 2019.
APA
Ding, T., Ma, H., & Feng, J. (2019). A three-gene novel predictor for improving the prognosis of cervical cancer. Oncology Letters, 18, 4907-4915. https://doi.org/10.3892/ol.2019.10815
MLA
Ding, T., Ma, H., Feng, J."A three-gene novel predictor for improving the prognosis of cervical cancer". Oncology Letters 18.5 (2019): 4907-4915.
Chicago
Ding, T., Ma, H., Feng, J."A three-gene novel predictor for improving the prognosis of cervical cancer". Oncology Letters 18, no. 5 (2019): 4907-4915. https://doi.org/10.3892/ol.2019.10815
Copy and paste a formatted citation
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Spandidos Publications style
Ding T, Ma H and Feng J: A three-gene novel predictor for improving the prognosis of cervical cancer. Oncol Lett 18: 4907-4915, 2019.
APA
Ding, T., Ma, H., & Feng, J. (2019). A three-gene novel predictor for improving the prognosis of cervical cancer. Oncology Letters, 18, 4907-4915. https://doi.org/10.3892/ol.2019.10815
MLA
Ding, T., Ma, H., Feng, J."A three-gene novel predictor for improving the prognosis of cervical cancer". Oncology Letters 18.5 (2019): 4907-4915.
Chicago
Ding, T., Ma, H., Feng, J."A three-gene novel predictor for improving the prognosis of cervical cancer". Oncology Letters 18, no. 5 (2019): 4907-4915. https://doi.org/10.3892/ol.2019.10815
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