Prognostic and Clinicopathological Value of Programmed Death Ligand-1 in Breast Cancer: A Meta-Analysis

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,...

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Veröffentlicht in:PloS one 2016-05, Vol.11 (5), p.e0156323-e0156323
Hauptverfasser: Guo, Yawen, Yu, Pan, Liu, Zeming, Maimaiti, Yusufu, Wang, Shan, Yin, Xingjie, Liu, Chunping, Huang, Tao
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Sprache:eng
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Zusammenfassung: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.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0156323