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The Lymphocyte-Monocyte Ratio Predicts Patient Survival and Aggressiveness of Ovarian Cancer

Objective: To measure the prognostic value of the lymphocyte-monocyte ratio (LMR) in patients with epithelial ovarian cancer (EOC). Methods: We retrospectively examined the LMR as a prognosticator in a cohort of 234 patients with EOC who underwent surgical resection. Patients were categorized into t...

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Autores principales: Eo, Wan Kyu, Chang, Hye Jung, Kwon, Sang Hoon, Koh, Suk Bong, Kim, Young Ok, Ji, Yong Il, Kim, Hong-Bae, Lee, Ji Young, Suh, Dong Soo, Kim, Ki Hyung, Chang, Ik Jin, Kim, Heung Yeol, Chang, Suk Choo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4747883/
https://www.ncbi.nlm.nih.gov/pubmed/26918042
http://dx.doi.org/10.7150/jca.13432
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author Eo, Wan Kyu
Chang, Hye Jung
Kwon, Sang Hoon
Koh, Suk Bong
Kim, Young Ok
Ji, Yong Il
Kim, Hong-Bae
Lee, Ji Young
Suh, Dong Soo
Kim, Ki Hyung
Chang, Ik Jin
Kim, Heung Yeol
Chang, Suk Choo
author_facet Eo, Wan Kyu
Chang, Hye Jung
Kwon, Sang Hoon
Koh, Suk Bong
Kim, Young Ok
Ji, Yong Il
Kim, Hong-Bae
Lee, Ji Young
Suh, Dong Soo
Kim, Ki Hyung
Chang, Ik Jin
Kim, Heung Yeol
Chang, Suk Choo
author_sort Eo, Wan Kyu
collection PubMed
description Objective: To measure the prognostic value of the lymphocyte-monocyte ratio (LMR) in patients with epithelial ovarian cancer (EOC). Methods: We retrospectively examined the LMR as a prognosticator in a cohort of 234 patients with EOC who underwent surgical resection. Patients were categorized into two different groups based on the LMR (LMR-low and LMR-high) using cut-off values determined by receiver operating characteristic (ROC) curve analysis. The objective of the study was to assess the effect of the LMR on progression-free survival (PFS) and overall survival (OS), and to validate the LMR as an independent predictor of survival. Results: Using the data collected from the whole cohort, the optimized LMR cut-off value selected on the ROC curve was 2.07 for both PFS and OS. The LMR-low and LMR-high groups included 48 (20.5%) and 186 patients (79.5%), respectively. The 5-year PFS rates in the LMR-low and LMR-high groups were 40.0 and 62.5% (P < 0.0001), respectively, and the 5-year OS rates in these two groups were 42.2 and 67.2% (P < 0.0001), respectively. On multivariate analysis, we identified age, International Federation of Gynecology and Obstetrics (FIGO) stage, and cancer antigen 125 levels to be the strongest valuable prognostic factors affecting PFS (P = 0.0421, P = 0.0012, and P = 0.0313, respectively) and age, FIGO stage, and the LMR as the most valuable prognostic factors predicting OS (P = 0.0064, P = 0.0029, and P = 0.0293, respectively). Conclusion: The LMR is an independent prognostic factor affecting the survival of patients with EOC.
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spelling pubmed-47478832016-02-25 The Lymphocyte-Monocyte Ratio Predicts Patient Survival and Aggressiveness of Ovarian Cancer Eo, Wan Kyu Chang, Hye Jung Kwon, Sang Hoon Koh, Suk Bong Kim, Young Ok Ji, Yong Il Kim, Hong-Bae Lee, Ji Young Suh, Dong Soo Kim, Ki Hyung Chang, Ik Jin Kim, Heung Yeol Chang, Suk Choo J Cancer Research Paper Objective: To measure the prognostic value of the lymphocyte-monocyte ratio (LMR) in patients with epithelial ovarian cancer (EOC). Methods: We retrospectively examined the LMR as a prognosticator in a cohort of 234 patients with EOC who underwent surgical resection. Patients were categorized into two different groups based on the LMR (LMR-low and LMR-high) using cut-off values determined by receiver operating characteristic (ROC) curve analysis. The objective of the study was to assess the effect of the LMR on progression-free survival (PFS) and overall survival (OS), and to validate the LMR as an independent predictor of survival. Results: Using the data collected from the whole cohort, the optimized LMR cut-off value selected on the ROC curve was 2.07 for both PFS and OS. The LMR-low and LMR-high groups included 48 (20.5%) and 186 patients (79.5%), respectively. The 5-year PFS rates in the LMR-low and LMR-high groups were 40.0 and 62.5% (P < 0.0001), respectively, and the 5-year OS rates in these two groups were 42.2 and 67.2% (P < 0.0001), respectively. On multivariate analysis, we identified age, International Federation of Gynecology and Obstetrics (FIGO) stage, and cancer antigen 125 levels to be the strongest valuable prognostic factors affecting PFS (P = 0.0421, P = 0.0012, and P = 0.0313, respectively) and age, FIGO stage, and the LMR as the most valuable prognostic factors predicting OS (P = 0.0064, P = 0.0029, and P = 0.0293, respectively). Conclusion: The LMR is an independent prognostic factor affecting the survival of patients with EOC. Ivyspring International Publisher 2016-01-29 /pmc/articles/PMC4747883/ /pubmed/26918042 http://dx.doi.org/10.7150/jca.13432 Text en © Ivyspring International Publisher. Reproduction is permitted for personal, noncommercial use, provided that the article is in whole, unmodified, and properly cited. See http://ivyspring.com/terms for terms and conditions.
spellingShingle Research Paper
Eo, Wan Kyu
Chang, Hye Jung
Kwon, Sang Hoon
Koh, Suk Bong
Kim, Young Ok
Ji, Yong Il
Kim, Hong-Bae
Lee, Ji Young
Suh, Dong Soo
Kim, Ki Hyung
Chang, Ik Jin
Kim, Heung Yeol
Chang, Suk Choo
The Lymphocyte-Monocyte Ratio Predicts Patient Survival and Aggressiveness of Ovarian Cancer
title The Lymphocyte-Monocyte Ratio Predicts Patient Survival and Aggressiveness of Ovarian Cancer
title_full The Lymphocyte-Monocyte Ratio Predicts Patient Survival and Aggressiveness of Ovarian Cancer
title_fullStr The Lymphocyte-Monocyte Ratio Predicts Patient Survival and Aggressiveness of Ovarian Cancer
title_full_unstemmed The Lymphocyte-Monocyte Ratio Predicts Patient Survival and Aggressiveness of Ovarian Cancer
title_short The Lymphocyte-Monocyte Ratio Predicts Patient Survival and Aggressiveness of Ovarian Cancer
title_sort lymphocyte-monocyte ratio predicts patient survival and aggressiveness of ovarian cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4747883/
https://www.ncbi.nlm.nih.gov/pubmed/26918042
http://dx.doi.org/10.7150/jca.13432
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