Chinese Medical E-ournals Database

Chinese Journal of Obstetrics & Gynecology and Pediatrics(Electronic Edition) ›› 2019, Vol. 15 ›› Issue (03): 268 -274. doi: 10.3877/cma.j.issn.1673-5250.2019.03.006

Special Issue:

Original Article

Predictive value of plate-to-lymphocyte ratio for International Federation of Obstetrics and Gynecology staging of ovarian cancer patients

Ying Tang1, Jun Li1, Huiquan Hu1,(), Fan Xu1, Mingxing Chen2   

  1. 1. Department of Gynecology, Nanchong Central Hospital, Nanchong 637000, Sichuan Province, China
    2. North Sichuan Medical College, Nanchong 637000, Sichuan Province, China
  • Received:2019-01-08 Revised:2019-05-04 Published:2019-06-01
  • Corresponding author: Huiquan Hu
  • About author:
    Corresponding author: Hu Huiquan, Email:
  • Supported by:
    Science & Technology Pillar Program by Science and Technology Department of Sichuan Province(2015JY0056); Project of Bureau of Science & Technology and Intellectual Property Nanchong City(17YFZJ0005, 18YFZJ0012)
Objective

To explore the predictive value of platelet-to-lymphocyte ratio (PLR) for International Federation of Obstetrics and Gynecology (FIGO) staging of ovarian cancer patients.

Methods

From January 2005 to January 2017, a total of 225 patients with primary ovarian cancer who were treated at Nanchong Central Hospital were selected into this study. According to different FIGO stagings, they were divided into early ovarian cancer group (n=85, FIGO stage Ⅰ-Ⅱ) and advanced ovarian cancer group (n=140, FIGO stage Ⅲ-Ⅳ). Wilcoxon rank sum test was used to statistically compare age, body mass index (BMI), white blood cell count, hemoglobin (Hb) level, PLR and neutrophil-to-lymphocyte ratio (NLR) between two groups. Chi-square test was used to statistically compare histopathological types, proportion of patients with ascites and proportion of serum CA125 level >35 U/mL. Then receiver operator characteristic (ROC) curve of PLR for predicting the FIGO staging of ovarian caner patients was drawn, and the area under ROC curve (ROC-AUC) was calculated. The optimal critical value of PLR for predicting the clincial staging of ovarian caner patients was obtained when the Youden index reaching the maximum value. And its sensitivity and specificity were calculated. This study met the requirements of the World Medical Association Declaration of Helsinki revised in 2013. Informed consent was obtairned from each participates.

Results

①There were significant differences in histopathological types, malignant ascites or not, serum CA125 level > 35 U/mL, PLR and NLR between two groups (χ2=16.897, 76.187, 11.817, -5.252, -3.790; P all<0.05), while there were no significant differences in age, BMI, Hb level and WBC count between two groups (P>0.05). ②Histopathological type (OR=2.460, 95%CI=1.246-4.856, P=0.009), malignant ascites (OR=6.649, 95%CI=3.437-12.862, P<0.001) and PLR (OR=1.005, 95%CI=1.001-1.009, P=0.027) were independent risk factors for ovarian cancer patients with different FIGO staging. ③ROC curve analysis showed that PLR for predicting FIGO staging of ovarian cancer patients was 0.709 (95%CI: 0.645-0.767, P<0.001). According to the principle of maximum Youden index, the optimal critical value for PLR to predict FIGO staging of ovarian cancer patients was 157.14, of which 134 patients with PLR > 157.14 and 91 patients with PLR≤157.14. At this time, the sensitivity was 72.9%, and the specificity was 63.5%.

Conclusions

PLR value can predict FIGO staging of ovarian cancer. When PLR>157.14, the FIGO staging of ovarian cancer patients is more likely to be advanced.

表1 225例卵巢癌患者的一般临床资料
表2 2组卵巢癌患者的临床特征比较
表3 卵巢癌患者FIGO分期影响因素的多因素非条件logistic回归分析变量含义及赋值情况
表4 卵巢癌患者FIGO分期影响因素的多因素非条件logistic回归分析结果
图1 PLR预测卵巢癌患者FIGO分期的ROC曲线
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Abstract