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Prognostic roles of neutrophil to lymphocyte ratio and platelet to lymphocyte ratio in ovarian cancer: a meta-analysis of retrospective studies.

Authors :
Zhao, Zhe
Zhao, Xinrui
Lu, Jingjing
Xue, Jing
Liu, Peishu
Mao, Hongluan
Source :
Archives of Gynecology & Obstetrics. Apr2018, Vol. 297 Issue 4, p849-857. 9p. 1 Diagram, 5 Charts.
Publication Year :
2018

Abstract

<bold>Purpose: </bold>The systemic inflammatory response markers have been reported to be associated with the prognosis of various cancers. We conducted this meta-analysis of retrospective studies to evaluate and identify the prognostic impact of neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) on ovarian cancer.<bold>Methods: </bold>PubMed, EMBASE, and China National Knowledge Infrastructure databases were included to search for eligible studies. The following terms were used: "neutrophil to lymphocyte ratio", "NLR", "platelet to lymphocyte ratio", "PLR", "ovarian cancer", "ovary cancer", "ovarian carcinoma", "ovary carcinoma", "ovarian neoplasm", "ovary neoplasm", "ovarian tumor", and "ovary tumor". The random-effects model was chosen to estimate the pooled HR with 95% CI. Heterogeneity between studies was assessed by Higgins I2 value. The stability and heterogeneity of studies were analyzed by sensitivity analysis. Publication bias was examined by Egger's test and Begg's test with the funnel plots.<bold>Results: </bold>13 studies consisting of 3467 patients were considered for meta-analysis. We found that the high NLR had a poor prognostic impact on OS and PFS in ovarian cancer, with a pooled HR 1.70, 95% CI 1.35-2.15 and HR 1.77, 95% CI 1.48-2.12, respectively. Similarly, the results showed the high PLR adversely affected OS and PFS in ovarian cancer, with a pooled HR 2.05, 95% CI 1.70-2.48 and HR 1.85, 95% CI 1.53-2.25, respectively.<bold>Conclusion: </bold>In conclusion, we found that both NLR and PLR had an unfavorable impact on PFS and OS of patients with ovarian cancer. Our meta-analysis supported that NLR/PLR could be effective prognostic predictors of ovarian cancer. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09320067
Volume :
297
Issue :
4
Database :
Academic Search Index
Journal :
Archives of Gynecology & Obstetrics
Publication Type :
Academic Journal
Accession number :
128462442
Full Text :
https://doi.org/10.1007/s00404-018-4678-8