卵巢癌（OC）是全球影响妇女最严重的恶性肿瘤之一。某些血液炎症综合标志物在OC的预测价值已被广泛报告。它们可用于早期检测和OC的鉴别诊断并可用于预测受影响患者的生存率、治疗反应和复发情况。在这里，我们回顾了基于完整血细胞计数的复合炎症标志物，即中性白细胞/淋巴细胞比（NLR）、血小板/淋巴细胞比（PLR）、单核细胞/淋巴细胞比和全身炎症指数以及基于血蛋白的标志物，即C-反应蛋白/白蛋白比和预后营养指数在OC中的预测价值，重点关注NLR和PLR。我们参考了这六个标记的临床研究，回顾了患者人群，并总结了这些研究的标记截止值、意义和限制。所有这些研究都是回顾性的，其中大多数是小样本的单中心临床研究。我们发现，这些标记的截止值尚未统一，用于确定这些值的方法在研究中也有所不同。这些标记对生存的预测价值主要反映在多个亚型的卵巢癌（包括上皮性OC、高级别浆液性卵巢癌和卵巢透明细胞癌）的术后患者中。我们关注NLR和PLR，并计算了它们的汇总危险比。NLR和PLR可靠地预测OC患者的总体生存率和无进展生存率。因此，有必要调整重要的混杂因素，并进行长期的随访前瞻性队列研究，进一步澄清NLR和PLR的截止值和临床应用。© 2023.作者。

Ovarian cancer (OC) is one of the deadliest malignant tumors affecting women worldwide. The predictive value of some blood inflammatory composite markers in OC has been extensively reported. They can be used for early detection and differential diagnosis of OC and can be used for predicting survival, treatment response, and recurrence in the affected patients. Here, we reviewed the predictive values of composite inflammatory markers based on complete blood count, namely neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio, and systemic inflammation index and markers based on blood protein, namely C-reactive protein-to-albumin ratio and prognostic nutritional index in OC, with a focus on NLR and PLR. We referred to the clinical studies on these six markers, reviewed the patient population, and summarized the marker cut-off values, significance, and limitations of these studies. All these studies were retrospective and most of them were single-center clinical studies with small sample sizes. We found that the cut-off values of these markers have not been unified, and methods used to determine these values varied among studies. The predictive value of these markers on survival was mainly reflected in the postoperative patients of multiple subtypes of ovarian cancer including epithelial OC, high-grade serous ovarian carcinoma, and ovarian clear cell carcinoma. We focused on NLR and PLR and calculated their pooled hazard ratios. NLR and PLR were reliable in predicting overall and progression-free survivals in patients with OC. Therefore, it is necessary to adjust important confounding factors and conduct a long-term follow-up prospective cohort study to further clarify the cut-off values of NLR and PLR and their clinical applications.© 2023. The Author(s).