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Prognostic nutritional index as a predictor of survival in patients with recurrent cervical cancer

  • Authors:
    • Naoyuki Ida
    • Keiichiro Nakamura
    • Masayuki Saijo
    • Tomoyuki Kusumoto
    • Hisashi Masuyama
  • View Affiliations / Copyright

    Affiliations: Department of Obstetrics and Gynecology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Okayama 700‑8558, Japan
    Copyright: © Ida et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 257-263
    |
    Published online on: November 21, 2017
       https://doi.org/10.3892/mco.2017.1508
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Abstract

Systemic inflammatory responses (SIRs) can help predict survival in various cancers. The present study investigated the accuracy of neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR) and prognostic nutritional index (PNI) in predicting survival for patients with recurrent cervical cancer. A retrospective review of prognoses examined the associations among NLR, PLR, and PNI, and clinical characteristics and survival in 79 patients with recurrent cervical cancer after undergoing concurrent chemoradiation therapy (CCRT) or radical hysterectomies with or without CCRT. The Mann‑Whitney U‑test was used for statistical analyses. In addition, 12‑month, 24‑month and overall survival were analyzed by the Kaplan‑Meier method. Cox's proportional hazard regression was used for univariate and multivariate analyses. Median survival was 15.0 months over follow‑up periods of 2‑93 months. At the last follow‑up point, 54 had succumbed to disease and 25 were alive with disease. In univariate analysis, NLR, PLR and PNI were significantly associated with 12‑month, 24 month and overall survival (12 months: P=0.021, P=0.001 and P<0.001; 24 months: P=0.020, P=0.008 and P<0.001; overall; P=0.032, P=0.032 and P<0.001, respectively). In multivariate analyses, PNI was an independent prognostic factor for 12‑month, 24‑month and overall survival (P=0.001, P=0.001 and P<0.001, respectively). PNI is a useful predictor of survival of recurrent cervical cancer.
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Copy and paste a formatted citation
Spandidos Publications style
Ida N, Nakamura K, Saijo M, Kusumoto T and Masuyama H: Prognostic nutritional index as a predictor of survival in patients with recurrent cervical cancer. Mol Clin Oncol 8: 257-263, 2018.
APA
Ida, N., Nakamura, K., Saijo, M., Kusumoto, T., & Masuyama, H. (2018). Prognostic nutritional index as a predictor of survival in patients with recurrent cervical cancer. Molecular and Clinical Oncology, 8, 257-263. https://doi.org/10.3892/mco.2017.1508
MLA
Ida, N., Nakamura, K., Saijo, M., Kusumoto, T., Masuyama, H."Prognostic nutritional index as a predictor of survival in patients with recurrent cervical cancer". Molecular and Clinical Oncology 8.2 (2018): 257-263.
Chicago
Ida, N., Nakamura, K., Saijo, M., Kusumoto, T., Masuyama, H."Prognostic nutritional index as a predictor of survival in patients with recurrent cervical cancer". Molecular and Clinical Oncology 8, no. 2 (2018): 257-263. https://doi.org/10.3892/mco.2017.1508
Copy and paste a formatted citation
x
Spandidos Publications style
Ida N, Nakamura K, Saijo M, Kusumoto T and Masuyama H: Prognostic nutritional index as a predictor of survival in patients with recurrent cervical cancer. Mol Clin Oncol 8: 257-263, 2018.
APA
Ida, N., Nakamura, K., Saijo, M., Kusumoto, T., & Masuyama, H. (2018). Prognostic nutritional index as a predictor of survival in patients with recurrent cervical cancer. Molecular and Clinical Oncology, 8, 257-263. https://doi.org/10.3892/mco.2017.1508
MLA
Ida, N., Nakamura, K., Saijo, M., Kusumoto, T., Masuyama, H."Prognostic nutritional index as a predictor of survival in patients with recurrent cervical cancer". Molecular and Clinical Oncology 8.2 (2018): 257-263.
Chicago
Ida, N., Nakamura, K., Saijo, M., Kusumoto, T., Masuyama, H."Prognostic nutritional index as a predictor of survival in patients with recurrent cervical cancer". Molecular and Clinical Oncology 8, no. 2 (2018): 257-263. https://doi.org/10.3892/mco.2017.1508
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