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Heterogeneity of PD-L1 expression in primary tumors and paired lymph node metastases of triple negative breast cancer

Overview of attention for article published in BMC Cancer, January 2018
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Title
Heterogeneity of PD-L1 expression in primary tumors and paired lymph node metastases of triple negative breast cancer
Published in
BMC Cancer, January 2018
DOI 10.1186/s12885-017-3916-y
Pubmed ID
Authors

Ming Li, Anqi Li, Shuling Zhou, Yan Xu, Yaoxing Xiao, Rui Bi, Wentao Yang

Abstract

Programmed cell death ligand 1 (PD-L1) is a potential predictive biomarker of the response to anti-PD-L1/anti- programmed cell death 1 (PD-1) therapy in multiple cancers, including triple negative breast cancer(TNBC). The purpose of this study was to investigate whether PD-L1 expression is homogenous in primary tumors(PTs) and synchronous axillary lymph node metastases(LNMs) of TNBC. PD-L1 expression was immunohistochemically evaluated in 101 TNBC patients' PTs and paired LNMs. PD-L1 expression in tumor cells and infiltrating immune cells or node lymphocytes in the PTs and associated LNMs was scored separately and was correlated with patients' clinical parameters and prognoses. PD-L1 expression exhibited spatial heterogeneity in both the tumor cells and the infiltrating immune cells or node lymphocytes of PTs and LNMs. The PD-L1 expression levels were significantly higher in the lymphocytes and tumor cells of the LNMs than in the PTs. PD-L1 expression was also more frequent among the LNMs. PD-L1 expression was associated with high grade and more stromal tumor-infiltrating lymphocytes(TILs). Furthermore, the disease-free survival and overall survival were similar between the PT- negative/LNM- positive and PT- positive/LNM- positive patients, both of which exhibited worse disease-free survival(DFS) thanPT -negative/LNM -negative patients. The differential expression of PD-L1 between the PTs and LNMs suggests that LNMs PD-L1 status may be used to indicate whether PD-1/PD-L1-targeted therapy would be suitable for a node-positive TNBC patient in the future.

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Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 88 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 8%
Researcher 7 8%
Student > Master 7 8%
Student > Doctoral Student 7 8%
Student > Bachelor 7 8%
Other 17 19%
Unknown 36 41%
Readers by discipline Count As %
Medicine and Dentistry 26 30%
Biochemistry, Genetics and Molecular Biology 6 7%
Agricultural and Biological Sciences 4 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Immunology and Microbiology 3 3%
Other 6 7%
Unknown 40 45%