Value of the Platelet to Lymphocyte Ratio in the Diagnosis of Ovarian Neoplasms in Adolescents

Abstract

Background: Relationships between poor prognosis of ovarian malignancies and changes in complete blood count parameters have been proposed previously. In this work, we aimed to evaluate clinicopathologic features in adolescents with adnexal masses and sought to establish any predictive value of the platelet to lymphocyte ratio (PLR) in diagnosis. Materials and Methods: This retrospective study was conducted on 196 adolescent females with adnexal masses. Three groups were constituted with respect to clinical or histopathology results: group 1, non-neoplastic patients (n:65); group 2, neoplastic patients (n:68); and group 3 expectantly managed patients (n:63). The main parameters recorded from the hospital database and patient files were age, body mass index (BMI), chief symptoms, diameter of the mass (DOM), tumor marker levels, complete blood count values including absolute neutrophil, lymphocyte, and platelet counts, mean platelet volume, platelet distribution width, and platecrit, surgical features, and postoperative histopathology results. Results: The expectantly managed patients were younger than the other groups (p=0.007). The mean body mass index (BMI) was higher in the neoplastic group (p=0.016). Preoperative DOM, CA125, mean platelet volume and PLR were statistically significantly different between the groups (p<0.05). ROC curve analysis demonstrated that increased PLR (AUC, 0.609; p=0.011) and BMI (AUC, 0.611; p=0.011) may be discriminative factors in predicting ovarian neoplasms in adolescents preoperatively. When the cut-off point for the PLR level was set to 140, the sensitivity and specificity levels were found to be 65.7% and 57.6%, respectively. Conclusions: We suggest that beside a careful preoperative evaluation including clinical characteristics, ultrasonographic features and tumor markers, PLR may predict ovarian neoplasms in adolescents.

Can Platelet and Leukocyte Indicators Give Us an Idea about Distant Metastasis in Nasopharyngeal Cancer?

“…In healthy individuals, MPV and PDW values are counterbalancing each other. But previous studies of the MPV and PDW showed that this collateral distribution could change in various types of cancer (Okuturlar et al, 2015;Ozaksit et al, 2015). For example, a study of lung cancer patients reported that the MPV was lower and that the PDW was higher (Oncel et al, 2015), similarly to that what was found in the present study.…”

Utility of preoperative neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios to distinguish malignant from benign ovarian masses

“…When PLR was compared with the other blood components, such as platelet count and NLR, PLR was found to be a better prognostic marker. In addition, PLR and poor survival of patients with advanced disease are markedly correlated (9,22,25). A possible limitation to this study is that we could not compare parameters according to histological subtypes in benign and malignant masses.…”

“…Furthermore, the predictive value of PLR in the diagnosis of ovarian neoplasms has been studied. In these studies, an increased PLR was found to be correlated with poor prognosis and decreased survival (9,10,22). In studies to identify alternative markers, a comparison between PLR and CA-125 revealed that a significant increase in PLR was correlated with CA-125 levels (p<0.01).…”

The platelet-to-lymphocyte ratio as a predictor of patient outcomes in ovarian cancer: a meta-analysis

“…Six studies comprising 1054 patients reported the PLR in patients with malignant ovarian masses and the controls [20][21][22][23][24][25] .…”

“…The NOS scores, which indicated the quality of these studies, ranged from 6 to 8. Five of the selected eligible studies presented data regarding the association between the PLR and OS [14][15][16][17][18] , five studies discussed the link between PLR and PFS [15][16][17][18][19] , and six examined numerical differences in PLR between patients with malignant ovarian masses and the controls [20][21][22][23][24][25] . The disease characteristics in 12 studies are summarized in Table 2.…”