The diagnostic value of systemic inflammatory response markers as predictors of epithelial ovarian cancer

J. Alegbeleye, T. Kasso
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Abstract

Background: Early detection of ovarian neoplasms confers a better outcome and prognosis for patients. Although newer diagnostic modalities have been recently developed, the availability and accessibility of complete blood count parameters make it a convenient and cost-effective marker for malignancy. Objectives were to evaluate the diagnostic accuracy of pretreatment neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) in patients with late-stage epithelial ovarian malignancy at the University of Port Harcourt Teaching Hospital. Methods: A prospective analysis of fifty-seven women with histologic diagnosis of epithelial ovarian cancer who were managed at the University of Port Harcourt Teaching Hospital between January 1, 2018, and December 31, 2022, was conducted. A data collection form was used to obtain socio-demographic and clinico-pathological characteristics from the patients after informed consent was obtained. Pretreatment levels of NLR and PLR were determined from complete blood count. The Receiver Operating Characteristic (ROC) curve analysis was used to assess the predictive accuracy of the haematological parameters for late-stage epithelial ovarian cancer. Results: Higher values of NLR and PLR were significantly associated with the stage of ovarian cancer (p=0.001). The optimal cut-off points based on ROC curve analyses for NLR and PLR were found to be 2.6 (AUC=0.61, p>0.05), and 155.8 (AUC=0.62, p>0.05) respectively. However, none of the haematological parameters could be used as predictive markers for advanced-stage ovarian cancer in this study. Conclusions: Pretreatment NLR and PLR cannot be used as a stand-alone predictor of advanced ovarian cancer, and should be correlated with other clinical, laboratory and radiologic parameters.
预测上皮性卵巢癌的全身炎症反应标记物的诊断价值
背景:早期发现卵巢肿瘤可为患者带来更好的治疗效果和预后。尽管最近开发出了更新的诊断方法,但全血计数参数的可用性和可及性使其成为恶性肿瘤的一个方便且经济有效的标志物。目的:评估哈科特港大学教学医院晚期上皮性卵巢恶性肿瘤患者治疗前中性粒细胞-淋巴细胞比值(NLR)和血小板-淋巴细胞比值(PLR)的诊断准确性。研究方法对哈科特港大学教学医院在2018年1月1日至2022年12月31日期间管理的57名组织学诊断为上皮性卵巢癌的女性患者进行了前瞻性分析。在获得知情同意后,研究人员使用数据收集表获得了患者的社会人口学特征和临床病理学特征。根据全血细胞计数确定治疗前的 NLR 和 PLR 水平。采用受试者操作特征曲线(ROC)分析评估血液学参数对晚期上皮性卵巢癌的预测准确性。结果显示较高的 NLR 和 PLR 值与卵巢癌的分期明显相关(P=0.001)。根据 ROC 曲线分析,NLR 和 PLR 的最佳临界点分别为 2.6(AUC=0.61,p>0.05)和 155.8(AUC=0.62,p>0.05)。然而,在本研究中,没有一个血液学参数可作为晚期卵巢癌的预测指标。结论治疗前 NLR 和 PLR 不能单独作为晚期卵巢癌的预测指标,应与其他临床、实验室和放射学参数相关联。
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