NDLI: Independent predictive value of blood inflammatory composite markers in ovarian cancer: recent clinical evidence and perspective focusing on NLR and PLR

Content Provider	Springer Nature : BioMed Central
Author	Zhang, Chuan-long Jiang, Xiao-chen Li, Yi Pan, Xue Gao, Meng-qi Chen, Yan Pang, Bo
Abstract	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.
Related Links	https://ovarianresearch.biomedcentral.com/counter/pdf/10.1186/s13048-023-01116-2.pdf
Ending Page	13
Page Count	13
Starting Page	1
File Format	HTM / HTML
ISSN	17572215
DOI	10.1186/s13048-023-01116-2
Journal	Journal of Ovarian Research
Issue Number	1
Volume Number	16
Language	English
Publisher	BioMed Central
Publisher Date	2023-02-09
Access Restriction	Open
Subject Keyword	Gynecology Reproductive Medicine Ovarian cancer Composite inflammatory markers Predictive value Clinical evidence NLR PLR
Content Type	Text
Resource Type	Review
Subject	Oncology Obstetrics and Gynecology
Journal Impact Factor	3.8/2023
5-Year Journal Impact Factor	4.2/2023

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