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UCA1 overexpression predicts clinical outcome of patients with ovarian cancer receiving adjuvant chemotherapy

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Abstract

Purpose

Urothelial carcinoma associated 1 (UCA1) functions as an oncogene, which promotes cancer cell proliferation, invasion, and metastasis, and is responsible for drug resistance. This study aimed to determine the expression level of UCA1 in ovarian cancer and to further investigate its clinical significance.

Methods

The expression levels of UCA1 in ovarian cancer and normal ovaries were determined by quantitative real-time PCR. The relationship between UCA1 expression and clinical features and the prognostic value of UCA1 for overall survival were examined.

Results

UCA1 expression in ovarian cancer tissues was significantly upregulated compared with normal ovarian tissues. High UCA1 expression was related to lymph node metastasis, FIGO stage, and response to chemotherapy. Kaplan–Meier analysis demonstrated that high UCA1 expression was associated with poorer overall survival in patients with ovarian cancer. Cox proportional hazards analysis showed that high UCA1 expression was an independent prognostic marker of poor outcome. This effect remained significant in the further stratification analysis.

Conclusions

Our findings provided the first evidence that UCA1 may serve as an indicator of response to chemotherapy and prognosis of ovarian cancer. UCA1 may play an important role in the progression of ovarian cancer.

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Acknowledgments

This work was supported by the Taizhou Science and Technology Agency, Zhejiang, China (Grant No. 131KY14-04), the Department of Science and Technology of Zhejiang Province, China (Grant No. 2014C33154), and the ‘New 100 Talents Project’ of Shanghai Municipal Public Health Bureau, China (Grant No. XBR2013124).

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    Authors and Affiliations

    1. Department of Obstetrics and Gynecology, Taizhou Central Hospital, Taizhou, Zhejiang, China

      Ling Zhang & Liqian Zhang

    2. Department of Medical Equipment, Taizhou Central Hospital, Taizhou, Zhejiang, China

      Xili Cao

    3. Department of Thoracic Surgery, Taizhou Central Hospital, Taizhou, Zhejiang, China

      Xuelin Zhang

    4. National Engineering Center for Biochip at Shanghai, Shanghai, China

      Haihui Sheng

    5. Department of Pathology, Tongren Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China

      Kun Tao

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    1. Ling Zhang
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    3. Liqian Zhang
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    4. Xuelin Zhang
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    Correspondence to Haihui Sheng or Kun Tao.

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    Ling Zhang and Xili Cao have contributed equally to this work.

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    Zhang, L., Cao, X., Zhang, L. et al. UCA1 overexpression predicts clinical outcome of patients with ovarian cancer receiving adjuvant chemotherapy. Cancer Chemother Pharmacol 77, 629–634 (2016). https://doi.org/10.1007/s00280-016-2963-4

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    • DOI: https://doi.org/10.1007/s00280-016-2963-4

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