Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

Poster Display

323P - Platelet-to-lymphocyte ratio, neutrophil-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio as prognostic biomarkers in ovarian cancer among the Asian population: A meta-analysis

Date

02 Dec 2023

Session

Poster Display

Presenters

Wikania Wira Wiguna I Gede

Citation

Annals of Oncology (2023) 34 (suppl_4): S1584-S1598. 10.1016/annonc/annonc1383

Authors

W.W.W. I Gede1, I.G.K.A. Sadeva1, N.P.S.I. Remitha1, I.G.A.S. Sadvika1, I.N.B. Mahendra2, D.M. Wihandani3, I.G.P. Supadmanaba3

Author affiliations

  • 1 Faculty Of Medicine, Udayana University - Faculty of Medical and Health Sciences, 80232 - Denpasar/ID
  • 2 Department Of Obstetrics And Gynecology, Faculty Of Medicine, Udayana University - Faculty of Medical and Health Sciences, 80232 - Denpasar/ID
  • 3 Department Of Biochemistry, Faculty Of Medicine, Udayana University - Faculty of Medical and Health Sciences, 80232 - Denpasar/ID

Resources

Login to get immediate access to this content.

If you do not have an ESMO account, please create one for free.

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.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.