Prognostic and clinicopathological value of programmed death ligand-1 in breast cancer: A meta-analysis

48Citations
Citations of this article
57Readers
Mendeley users who have this article in their library.

Abstract

Recently, the interest in programmed death ligand-1 (PD-L1) as a prognostic marker in several types of malignant tumors has increased. In the present meta-analysis, we aimed to explore the prognostic and clinicopathological value of PD-L1 in breast cancer. We searched Medline/PubMed, Web of Science, EMBASE, the Cochrane Library databases, and grey literature from inception until January 20, 2016. Studies concerning breast cancer that focused on PD-L1 expression and studies reporting survival data were included; two authors independently performed the data extraction. The pooled risk ratio (RR) and 95% confidence interval (CI) were assessed to determine the association between the clinicopathological parameters of patients and PD-L1 expression. Five studies involving 2061 patients were included in this meta-analysis. The results indicated that positive/higher PD-L1 expression was a negative predictor for breast cancer, with an RR of 1.64 (95% CI, 1.14-2.34) for the total mortality risk and an RR of 2.53 (95% CI, 1.78-3.59) for the mortality risk 10 years after surgery. Moreover, positive/higher PD-L1 expression was significantly associated with positive lymph node metastasis (RR, 1.33; 95% CI, 1.04-1.70), poor nuclear grade (RR, 1.24; 95% CI, 1.07-1.43), and negative estrogen receptor status (RR, 2.45; 95% CI, 1.31-4.60) in breast cancer patients. Our findings suggest that PD-L1 can serve as a significant biomarker for poor prognosis and the adverse clinicopathologic features of breast cancer and could facilitate the better management of individual patients.

Cite

CITATION STYLE

APA

Guo, Y., Yu, P., Liu, Z., Maimaiti, Y., Wang, S., Yin, X., … Huang, T. (2016). Prognostic and clinicopathological value of programmed death ligand-1 in breast cancer: A meta-analysis. PLoS ONE, 11(5). https://doi.org/10.1371/journal.pone.0156323

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free