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Open Access 01-12-2018 | Research article

Classification of gallbladder cancer by assessment of CD8⁺ TIL and PD-L1 expression

Authors: Jianzhen Lin, Junyu Long, Xueshuai Wan, Jingci Chen, Yi Bai, Anqiang Wang, Xiaobo Yang, Yan Wu, Simon C. Robson, Xinting Sang, Haitao Zhao

Published in: BMC Cancer | Issue 1/2018

Abstract

Background

Programmed death ligand 1/2 (PD-L1/PD-L2) expression has been established as a prognostic factor for various solid tumors and as a predictive factor for PD-1 blockade therapy, but scant data on its role in gallbladder cancer (GBC). The aims of this study were to assess the expression of PD-L1/PD-L2 and the density of CD8⁺ tumor-infiltrating lymphocytes (TIL) from GBC samples and to quantify the association between survival prognosis and these factors.

Methods

CD8⁺ TILs density and the expression of PD-1, PD-L1, PD-L2 and CD133 were assessed using immunohistochemistry in tumor specimens from 66 patients with gallbladder adenocarcinoma. These indexes were correlated with the clinicopathological features.

Results

The rate of PD-L1-positive (PD-L1⁺) was 54%, which included 18% positivity in tumor cells, and 36% in peritumoral immune stroma. High CD8⁺ TIL density (CD8^high) was observed in PD-L1⁺ GBC, and PD-L1⁺ was positively associated with PD-L2⁺ expression. Regarding prognostic factors, PD-L1⁺ expression was related to worse overall survival (OS), and CD8^high indicated better OS and progression-free survival (PFS). The combination of CD8^high with PD-L1⁺ serves as a prognostic factor for improved OS (P < 0.001) and PFS (P = 0.014).

Conclusion

Analysis of the tumor immune microenvironment based on CD8⁺ TIL and PD-L1 expression is a promising independent predictor for the clinical outcome of GBC patients.

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Title: Classification of gallbladder cancer by assessment of CD8+ TIL and PD-L1 expression
Authors: Jianzhen Lin
Junyu Long
Xueshuai Wan
Jingci Chen
Yi Bai
Anqiang Wang
Xiaobo Yang
Yan Wu
Simon C. Robson
Xinting Sang
Haitao Zhao
Publication date: 01-12-2018
Publisher: BioMed Central
Published in: BMC Cancer / Issue 1/2018
Electronic ISSN: 1471-2407
DOI: https://doi.org/10.1186/s12885-018-4651-8

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Abstract

Background

Methods

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Conclusion

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