Abstract 323P
Background
Ovarian cancer is a general phrase that may be applied to any malignancy that affects the ovaries and is one of the worst malignancies. Aside from the number of its population, the Asian population also has a very diverse culture and socioeconomic development. Pretreatment peripheral blood cell counts, including lymphocytes, monocytes, and neutrophils, are major prognostic indicators in various cancers. This study aimed to evaluate the role of NLR, PLR, and LMR as prognostic biomarkers in ovarian cancer among the Asian population in a meta-analysis design.
Methods
This study assessed the association between NLR, PLR, and LMR and ovarian cancer as prognostic biomarkers based on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) protocol. The literature research was performed by systematically searching PubMed, ScienceDirect, and Google Scholar using the search terms based on BOOLEAN operators. Revman software ver 5.4.1 was employed for all statistical analyses, and p-values<0.05 were considered statistically significant.
Results
This study included 17 studies conducted in various Asian countries according to inclusion and exclusion criteria. Significant results were found in both univariate and multivariate analysis for NLR, PLR, and LMR to overall survival [(Univariate) NLR: HR 2.04; 95% CI 1.61 – 2.58; p<0.001, PLR: HR 2.04; 95% CI 1.26 – 3.30; p<0.001, LMR: HR 0.53; 95% CI 0.40 – 0.72; p<0.001. (Multivariate) NLR: HR 1.65; 95% CI 1.22 – 2.22; p<0.001, PLR: HR 2.12; 95% CI 1.70 – 2.66; p<0.001, LMR: HR 0.54; 95% CI 0.37 – 0.80; p=0.002]. Significant results were also found in both univariate and multivariate analysis for NLR and PLR to disease-free survival [(Univariate) NLR: HR 2.19; 95% CI 1.36 – 3.54; p<0.001, PLR: HR 1.95; 95% CI 1.31 – 2.91; p<0.001. (Multivariate) NLR: HR 1.37; 95% CI 1.21 – 1.56; p<0.001, PLR: HR 1.78; 95% CI 1.45 – 2.17; p<0.001.
Conclusions
NLR, PLR, and LMR can be considered as prognostic biomarkers in ovarian cancer. Further studies are needed to re-evaluate these findings in the Asian population.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
I.G.P. Supadmanaba.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
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