Cargando…

Prognostic value of programmed cell death ligand-1 expression in breast cancer: A meta-analysis

BACKGROUND: The correlation between programmed cell death-ligand 1 (PD-L1) which may affect T cell to form the immune tolerance and breast cancer (BC) still maintains to be uncovered. This meta-analysis was about to explore PD-L1 expression as well as its prognostic role in BC. METHODS: First of all...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Yingzi, Tian, Jiao, Qu, Chi, Tang, Zhenrong, Wang, Yu, Li, Kang, Yang, Yuan, Liu, Shengchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7717727/
https://www.ncbi.nlm.nih.gov/pubmed/33285715
http://dx.doi.org/10.1097/MD.0000000000023359
_version_ 1783619357345054720
author Zhang, Yingzi
Tian, Jiao
Qu, Chi
Tang, Zhenrong
Wang, Yu
Li, Kang
Yang, Yuan
Liu, Shengchun
author_facet Zhang, Yingzi
Tian, Jiao
Qu, Chi
Tang, Zhenrong
Wang, Yu
Li, Kang
Yang, Yuan
Liu, Shengchun
author_sort Zhang, Yingzi
collection PubMed
description BACKGROUND: The correlation between programmed cell death-ligand 1 (PD-L1) which may affect T cell to form the immune tolerance and breast cancer (BC) still maintains to be uncovered. This meta-analysis was about to explore PD-L1 expression as well as its prognostic role in BC. METHODS: First of all, we performed 3 databases: PubMed, Embase, and Web of Science to explore publications between January of 2015 and January of 2020. Strict inclusion and exclusion criteria were conducted: immunohistochemistry shall be used to detect target molecule expression and at least 1 survival indicator and related data we need should be included. The hazard ratio and 95% confidence interval were pooled related with survival as well as clinicopathological parameters. The effects of PD-L1 in differed aspects like sample size and age of each cohort were demonstrated by subgroup analyses as well as sensitivity analyses which may complain the potential source of heterogeneity. P < .05 indicates factors were charge of the heterogeneity of prognosis. Begg and Egger tests were used to identify publication bias. RESULTS: We identified 12 studies containing a blanket of 4336 patients with BC for whom PD-L1 positive tumor cells were related with higher tumor stage, lymph node metastasis, estrogen receptor negativity, human epidermal growth factor receptor 2 positivity, luminal B and triple negative BC molecular subtype and high nuclear-associated antigen Ki- 67 expression. Meanwhile, compared to patients with PD-L1 negative expression, PD-L1 positivity associated with worse overall survival (Hazard ratio [HR]:1.43; 95% CI:0.98–2.10; P < .001) and might have no obvious tight connection with disease free survival (HR:1.40; 95% CI:1.11–1.78; P = .101) and recurrence free survival (HR:2.36; 95% CI:1.04–5.34; P = .145). The outcome of the meta-analysis was confirmed to be credible by sensitivity analysis. Publication bias was not existed indicated (P = .640). CONCLUSION: Positive PD-L1 expression has a worse clinical outcome in patients with BC demonstrated by our meta-analysis. Being urgent to catch attention to the role of PD-L1 in BC, it may be considered as prognostic marker of immune microenvironment for improving therapy efficacy.
format Online
Article
Text
id pubmed-7717727
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-77177272020-12-07 Prognostic value of programmed cell death ligand-1 expression in breast cancer: A meta-analysis Zhang, Yingzi Tian, Jiao Qu, Chi Tang, Zhenrong Wang, Yu Li, Kang Yang, Yuan Liu, Shengchun Medicine (Baltimore) 5750 BACKGROUND: The correlation between programmed cell death-ligand 1 (PD-L1) which may affect T cell to form the immune tolerance and breast cancer (BC) still maintains to be uncovered. This meta-analysis was about to explore PD-L1 expression as well as its prognostic role in BC. METHODS: First of all, we performed 3 databases: PubMed, Embase, and Web of Science to explore publications between January of 2015 and January of 2020. Strict inclusion and exclusion criteria were conducted: immunohistochemistry shall be used to detect target molecule expression and at least 1 survival indicator and related data we need should be included. The hazard ratio and 95% confidence interval were pooled related with survival as well as clinicopathological parameters. The effects of PD-L1 in differed aspects like sample size and age of each cohort were demonstrated by subgroup analyses as well as sensitivity analyses which may complain the potential source of heterogeneity. P < .05 indicates factors were charge of the heterogeneity of prognosis. Begg and Egger tests were used to identify publication bias. RESULTS: We identified 12 studies containing a blanket of 4336 patients with BC for whom PD-L1 positive tumor cells were related with higher tumor stage, lymph node metastasis, estrogen receptor negativity, human epidermal growth factor receptor 2 positivity, luminal B and triple negative BC molecular subtype and high nuclear-associated antigen Ki- 67 expression. Meanwhile, compared to patients with PD-L1 negative expression, PD-L1 positivity associated with worse overall survival (Hazard ratio [HR]:1.43; 95% CI:0.98–2.10; P < .001) and might have no obvious tight connection with disease free survival (HR:1.40; 95% CI:1.11–1.78; P = .101) and recurrence free survival (HR:2.36; 95% CI:1.04–5.34; P = .145). The outcome of the meta-analysis was confirmed to be credible by sensitivity analysis. Publication bias was not existed indicated (P = .640). CONCLUSION: Positive PD-L1 expression has a worse clinical outcome in patients with BC demonstrated by our meta-analysis. Being urgent to catch attention to the role of PD-L1 in BC, it may be considered as prognostic marker of immune microenvironment for improving therapy efficacy. Lippincott Williams & Wilkins 2020-12-04 /pmc/articles/PMC7717727/ /pubmed/33285715 http://dx.doi.org/10.1097/MD.0000000000023359 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0
spellingShingle 5750
Zhang, Yingzi
Tian, Jiao
Qu, Chi
Tang, Zhenrong
Wang, Yu
Li, Kang
Yang, Yuan
Liu, Shengchun
Prognostic value of programmed cell death ligand-1 expression in breast cancer: A meta-analysis
title Prognostic value of programmed cell death ligand-1 expression in breast cancer: A meta-analysis
title_full Prognostic value of programmed cell death ligand-1 expression in breast cancer: A meta-analysis
title_fullStr Prognostic value of programmed cell death ligand-1 expression in breast cancer: A meta-analysis
title_full_unstemmed Prognostic value of programmed cell death ligand-1 expression in breast cancer: A meta-analysis
title_short Prognostic value of programmed cell death ligand-1 expression in breast cancer: A meta-analysis
title_sort prognostic value of programmed cell death ligand-1 expression in breast cancer: a meta-analysis
topic 5750
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7717727/
https://www.ncbi.nlm.nih.gov/pubmed/33285715
http://dx.doi.org/10.1097/MD.0000000000023359
work_keys_str_mv AT zhangyingzi prognosticvalueofprogrammedcelldeathligand1expressioninbreastcancerametaanalysis
AT tianjiao prognosticvalueofprogrammedcelldeathligand1expressioninbreastcancerametaanalysis
AT quchi prognosticvalueofprogrammedcelldeathligand1expressioninbreastcancerametaanalysis
AT tangzhenrong prognosticvalueofprogrammedcelldeathligand1expressioninbreastcancerametaanalysis
AT wangyu prognosticvalueofprogrammedcelldeathligand1expressioninbreastcancerametaanalysis
AT likang prognosticvalueofprogrammedcelldeathligand1expressioninbreastcancerametaanalysis
AT yangyuan prognosticvalueofprogrammedcelldeathligand1expressioninbreastcancerametaanalysis
AT liushengchun prognosticvalueofprogrammedcelldeathligand1expressioninbreastcancerametaanalysis