Analysis of PD1, PDL1, PDL2 expression and T cells infiltration in 1014 gastric cancer patients

Oncoimmunology. 2017 Dec 21;7(3):e1356144. doi: 10.1080/2162402X.2017.1356144. eCollection 2018.

Abstract

Although immune checkpoint blockade have demonstrated promising results, their effects on gastric cancer (GC) are under investigation. Understanding the clinical significance of PD1 and its ligands' expression, together with T cell infiltration might provide clues for biomarkers screening in GC immunotherapy. Immunohistochemistry were performed on a tissue microarray including 1,014 GC specimens using PD1, PDL1 and PDL2 antibodies. T cell markers CD3 and CD8 were also stained and quantified by automated image analysis. Correlation with clinical features and outcome were analyzed after controlling for potential confounders including EBV infection, HER2, C-met and PCNA expression. 37.8% of the cases showed membranous PD-L1 expression in tumor cells and 74.9% in infiltrating immune cells. PDL1 expression rate was rather higher in patients without metastasis, in EBV positive group and those with C-met and PCNA expression. GC patients with high level PDL1 expression exhibited better survival. GC Patients with higher T cell infiltration also showed elevated PDL1, PDL2 and PD1 expression and predict favorable outcome, indicating an adaptive immune resistance mechanism may exist. The group of patients infiltrated with lower density CD3+ T cells also without PDL1 expression in tumor cells predict the worst outcome in the subgroup of different PTNM stage, which may suggest an inactive immune status. These results highlights the need to assess both PDL1 expression in all tumor context and the characterization of the GC immune microenvironment.

Keywords: PD1; PDL1; PDL2; T cells; gastric cancer; prognosis.

Publication types

  • Research Support, Non-U.S. Gov't

Grants and funding

This work was supported by the National Key Technology Support Program (No. 2014BA109B02), the Beijing Municipal Science and Technology Project (No. D131100005313010), the Capital Health Development Research Program (No. 2014–1–2151), the National High Technology Research and Development Program of China (863 Program, No. 2014AA020603), the Beijing Municipal Science and Technology Commission (No. Z151100004015070), the National Technology Support Program of the Ministry of Science and Technology (No. 2013BAI09B07), Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding Support (No. ZYLX201701), National Science-technology Support Plan Projects (No. 2014BAI09B02) and the Beijing Science and Technology Program (No. Z121100007512010).