4.6 Article

Utility of Preoperative Inflammatory Markers to Distinguish Epithelial Ovarian Cancer from Benign Ovarian Masses

期刊

JOURNAL OF CANCER
卷 12, 期 9, 页码 2687-2693

出版社

IVYSPRING INT PUBL
DOI: 10.7150/jca.51642

关键词

Epithelial ovarian cancer; Inflammation biomarkers; Diagnosis; Benign ovarian masses; Cancer biomarkers

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资金

  1. National Natural Science Foundation of China [81973113, 81320108022, 81470153, 81974439, 81502877]
  2. Tianjin Science and Technology Committee Foundation [18YFZCSY00520, 16JCYBJC26600, 16JCYBJC44000]
  3. National Key Research and Development Program of China [2016YFC1302703]

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In this study, NLR, PLR, and LMR were significantly associated with all stages and subtypes of EOC, with optimal cut-off points identified for predictive capability. High NLR and PLR levels increased the risk of endometrioid EOC in low CA125 patients, while low LMR levels were associated with increased risk of serous EOC. Preoperative inflammatory markers may serve as potential predictors for different histotypes of EOC alongside CA125.
Background: Inflammatory markers have been reported to be predictors for the presence of epithelial ovarian cancer (EOC), however, the cut-off value of each marker remains unclear and predictive capability of the markers in different histology types of EOC is still unknown. Methods: A total of 207 patients with benign ovarian masses and 887 EOC patients who underwent surgical resection, and were pathologically diagnosed were included. We compared the difference of preoperative inflammatory markers between benign ovarian masses and EOC patients. Stratified analysis by histology subtype was further conducted. Logistic regression analyses and receiver operating characteristic (ROC) curves was used to evaluate the predictive capability of the markers. Results: Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) were significantly associated with all stages and subtypes of EOC (P<0.001). The optimal cut-off points based on ROC curve analyses for NLR, PLR, and LMR were found to be 2.139 (AUC=0.749, P<0.001), 182.698 (AUC=0.730, P<0.001), and 3.619 (AUC=0.709, P<0.001), respectively. In low CA125 level patients, high level of NLR and PLR increase the risk of endometrioid EOC, while low level of LMR were significantly associated with an increased risk of serous EOC. Conclusions: In addition to CA125, NLR, PLR, and LMR could be used as predictors of EOC and preoperative inflammatory markers may be used as a potential biomarker for predicting different histotypes of EOC.

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