Cargando…

Meta-analysis of multiple hematological biomarkers as prognostic predictors of survival in bladder cancer

BACKGROUND: Accumulating emerging studies have demonstrated that systemic inflammation can obviously affect tumor occurrence and progression. Nevertheless, the prognostic value of hematological inflammation biomarkers in bladder cancer is controversial. Thus, we conducted a meta-analysis to evaluate...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Lianghao, Li, Longqing, Liu, Junxiao, Wang, Jiange, Fan, Yafeng, Dong, Biao, Zhu, Zhaowei, Zhang, Xuepei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7387011/
https://www.ncbi.nlm.nih.gov/pubmed/32791672
http://dx.doi.org/10.1097/MD.0000000000020920
_version_ 1783564056144117760
author Zhang, Lianghao
Li, Longqing
Liu, Junxiao
Wang, Jiange
Fan, Yafeng
Dong, Biao
Zhu, Zhaowei
Zhang, Xuepei
author_facet Zhang, Lianghao
Li, Longqing
Liu, Junxiao
Wang, Jiange
Fan, Yafeng
Dong, Biao
Zhu, Zhaowei
Zhang, Xuepei
author_sort Zhang, Lianghao
collection PubMed
description BACKGROUND: Accumulating emerging studies have demonstrated that systemic inflammation can obviously affect tumor occurrence and progression. Nevertheless, the prognostic value of hematological inflammation biomarkers in bladder cancer is controversial. Thus, we conducted a meta-analysis to evaluate the key hematological biomarkers with various clinical outcomes in bladder cancer. METHODS: We used online databases PUBMED and EMBASE to search relevant studies published prior to August 2019. After collecting the basic characteristics and prognostic data from the studies included, overall survival (OS), cancer-specific survival (CSS) and progression-free survival (PFS) were used as primary results. Subgroup analyses were performed according to ethnicity, the number of samples, survival outcomes, the value of cut-off, follow-up time and metastasis stage. RESULTS: Thirty-three independent studies with 17,087 bladder cancer patients were added in the present analysis. The collected results showed that the increased neutrophil-to-lymphocyte ratio was associated with a poor OS (hazard ratio [HR] = 1.48, 95% confidence interval [CI]: 1.32–1.67, P < .00001), CSS (HR = 1.71, 95%CI: 1.35–2.18, P < .0001) and PFS (HR = 1.59, 95%CI: 1.38–1.83, P < .00001). Additionally, the elevated platelet-to-lymphocyte ratio was related to a poor OS (HR = 1.29, 95% CI: 1.07–1.54, P = .007), CSS (HR = 1.14, 95%CI = 0.98–1.34, P = .02) and PFS (HR = 1.2, 95%CI: 1.08–1.34, P = .0008). Moreover, a decreased lymphocyte-to-monocyte ratio was associated with a poor OS (HR = 0.77, 95% CI: 0.70–0.84, P = .001), CSS (HR = 0.76, 95%CI: 0.70–0.84). An elevated modified Glasgow prognostic score was also associated with a poor OS (HR = 2.71, 95%CI: 1.08–2.82, P = .003), CSS (HR = 1.50, 95%CI: 0.56–4.05) and PFS (HR = 1.52, 95%CI: 1.23–1.88, P = .001). CONCLUSIONS: Our study indicated that the pretreatment hematological biomarkers (neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, and modified Glasgow prognostic score) were predicative biomarkers of prognosis in bladder cancer patients. Further research is needed to conduct further prospective and multicenter studies to confirm our findings.
format Online
Article
Text
id pubmed-7387011
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Wolters Kluwer Health
record_format MEDLINE/PubMed
spelling pubmed-73870112020-08-05 Meta-analysis of multiple hematological biomarkers as prognostic predictors of survival in bladder cancer Zhang, Lianghao Li, Longqing Liu, Junxiao Wang, Jiange Fan, Yafeng Dong, Biao Zhu, Zhaowei Zhang, Xuepei Medicine (Baltimore) 7300 BACKGROUND: Accumulating emerging studies have demonstrated that systemic inflammation can obviously affect tumor occurrence and progression. Nevertheless, the prognostic value of hematological inflammation biomarkers in bladder cancer is controversial. Thus, we conducted a meta-analysis to evaluate the key hematological biomarkers with various clinical outcomes in bladder cancer. METHODS: We used online databases PUBMED and EMBASE to search relevant studies published prior to August 2019. After collecting the basic characteristics and prognostic data from the studies included, overall survival (OS), cancer-specific survival (CSS) and progression-free survival (PFS) were used as primary results. Subgroup analyses were performed according to ethnicity, the number of samples, survival outcomes, the value of cut-off, follow-up time and metastasis stage. RESULTS: Thirty-three independent studies with 17,087 bladder cancer patients were added in the present analysis. The collected results showed that the increased neutrophil-to-lymphocyte ratio was associated with a poor OS (hazard ratio [HR] = 1.48, 95% confidence interval [CI]: 1.32–1.67, P < .00001), CSS (HR = 1.71, 95%CI: 1.35–2.18, P < .0001) and PFS (HR = 1.59, 95%CI: 1.38–1.83, P < .00001). Additionally, the elevated platelet-to-lymphocyte ratio was related to a poor OS (HR = 1.29, 95% CI: 1.07–1.54, P = .007), CSS (HR = 1.14, 95%CI = 0.98–1.34, P = .02) and PFS (HR = 1.2, 95%CI: 1.08–1.34, P = .0008). Moreover, a decreased lymphocyte-to-monocyte ratio was associated with a poor OS (HR = 0.77, 95% CI: 0.70–0.84, P = .001), CSS (HR = 0.76, 95%CI: 0.70–0.84). An elevated modified Glasgow prognostic score was also associated with a poor OS (HR = 2.71, 95%CI: 1.08–2.82, P = .003), CSS (HR = 1.50, 95%CI: 0.56–4.05) and PFS (HR = 1.52, 95%CI: 1.23–1.88, P = .001). CONCLUSIONS: Our study indicated that the pretreatment hematological biomarkers (neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, and modified Glasgow prognostic score) were predicative biomarkers of prognosis in bladder cancer patients. Further research is needed to conduct further prospective and multicenter studies to confirm our findings. Wolters Kluwer Health 2020-07-24 /pmc/articles/PMC7387011/ /pubmed/32791672 http://dx.doi.org/10.1097/MD.0000000000020920 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0
spellingShingle 7300
Zhang, Lianghao
Li, Longqing
Liu, Junxiao
Wang, Jiange
Fan, Yafeng
Dong, Biao
Zhu, Zhaowei
Zhang, Xuepei
Meta-analysis of multiple hematological biomarkers as prognostic predictors of survival in bladder cancer
title Meta-analysis of multiple hematological biomarkers as prognostic predictors of survival in bladder cancer
title_full Meta-analysis of multiple hematological biomarkers as prognostic predictors of survival in bladder cancer
title_fullStr Meta-analysis of multiple hematological biomarkers as prognostic predictors of survival in bladder cancer
title_full_unstemmed Meta-analysis of multiple hematological biomarkers as prognostic predictors of survival in bladder cancer
title_short Meta-analysis of multiple hematological biomarkers as prognostic predictors of survival in bladder cancer
title_sort meta-analysis of multiple hematological biomarkers as prognostic predictors of survival in bladder cancer
topic 7300
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7387011/
https://www.ncbi.nlm.nih.gov/pubmed/32791672
http://dx.doi.org/10.1097/MD.0000000000020920
work_keys_str_mv AT zhanglianghao metaanalysisofmultiplehematologicalbiomarkersasprognosticpredictorsofsurvivalinbladdercancer
AT lilongqing metaanalysisofmultiplehematologicalbiomarkersasprognosticpredictorsofsurvivalinbladdercancer
AT liujunxiao metaanalysisofmultiplehematologicalbiomarkersasprognosticpredictorsofsurvivalinbladdercancer
AT wangjiange metaanalysisofmultiplehematologicalbiomarkersasprognosticpredictorsofsurvivalinbladdercancer
AT fanyafeng metaanalysisofmultiplehematologicalbiomarkersasprognosticpredictorsofsurvivalinbladdercancer
AT dongbiao metaanalysisofmultiplehematologicalbiomarkersasprognosticpredictorsofsurvivalinbladdercancer
AT zhuzhaowei metaanalysisofmultiplehematologicalbiomarkersasprognosticpredictorsofsurvivalinbladdercancer
AT zhangxuepei metaanalysisofmultiplehematologicalbiomarkersasprognosticpredictorsofsurvivalinbladdercancer