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Orthotopic Transplantation of Syngeneic Lung Adenocarcinoma Cells to Study PD-L1 Expression
Published on: January 19, 2019
Clinical relevance of PD-L2 expression in surgically resected lung adenocarcinoma
Kazuya Takamochi1, Kieko Hara2, Takuo Hayashi2
1Department of General Thoracic Surgery, Juntendo University School of Medicine, Tokyo, Japan.
Objectives:
Programmed death ligand 1 and 2 (PD-L1 and PD-L2) bind programmed death 1 (PD-1). PD-L1 is an established predictive biomarker of response to immunotherapies targeting PD-1 and PD-L1 in lung adenocarcinoma (LUAD). However, the clinical relevance of PD-L2 expression in patients with LUAD remains unclear; we aimed to examine this aspect using LUAD specimens.
Materials And Methods:
PD-L2 expression status was immunohistochemically evaluated in 980 surgically resected LUAD specimens. PD-L2 expression status was classified based on the tumor proportion score (TPS) as negative (<1%), weakly positive (1-49%), or strongly positive (≥50%). Correlations between PD-L2 and PD-L1 expression status, clinicopathological features, driver oncogene alterations (EGFR, KRAS, ALK, ROS1, and RET), and prognosis were also analyzed.
Results:
PD-L2 expression was negative in 720 (73%) of 980 LUADs, weakly positive in 190 (19%), and strongly positive in 70 (7%). The concordance rate between PD-L1 and PD-L2 expression was 60%. Male sex, smokers, tumors > 3 cm in size, high-grade tumors, tumors without EGFR mutation or ALK fusion, and tumors with KRAS mutation were more common in patients with PD-L2-positive tumors (TPS ≥ 1%) than in patients with PD-L2-negative tumors (TPS < 1%). PD-L2 expression was not associated with overall survival (OS) or relapse-free survival (RFS). However, positive PD-L2 expression tended to be associated with better OS/RFS in PD-L1-positive patients and worse OS/RFS in PD-L1-negative patients.
Conclusions:
PD-L2-positive LUADs showed biologically aggressive characteristics. PD-L2 expression status was not associated with survival outcomes, but tended to show contrasting prognostic impacts based on PD-L1 expression status.
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