Expression of PD-1 by T Cells in Malignant Glioma Patients Reflects Exhaustion and Activation

恶性胶质瘤患者T细胞PD-1的表达反映了T细胞的耗竭和活化状态

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作者:Tom B Davidson,Alexander Lee,Melody Hsu,Shaina Sedighim,Joey Orpilla,Janet Treger,Max Mastall,Saskia Roesch,Carmen Rapp,Mildred Galvez,Aaron Mochizuki,Joseph Antonios,Alejandro Garcia,Nikesh Kotecha,Nicholas Bayless,David Nathanson,Anthony Wang,Richard Everson,William H Yong,Timothy F Cloughesy,Linda M Liau ,Christel Herold-Mende,Robert M Prins          0

Abstract

Purpose: Glioblastoma (GBM) is the most common primary malignant tumor in the central nervous system. Our recent preclinical work has suggested that PD-1/PD-L1 plays an important immunoregulatory role to limit effective antitumor T-cell responses induced by active immunotherapy. However, little is known about the functional role that PD-1 plays on human T lymphocytes in patients with malignant glioma.Experimental Design: In this study, we examined the immune landscape and function of PD-1 expression by T cells from tumor and peripheral blood in patients with malignant glioma. Results: We found several differences between PD-1+ tumor-infiltrating lymphocytes (TIL) and patient-matched PD-1+ peripheral blood T lymphocytes. Phenotypically, PD-1+ TILs exhibited higher expression of markers of activation and exhaustion than peripheral blood PD-1+ T cells, which instead had increased markers of memory. A comparison of the T-cell receptor variable chain populations revealed decreased diversity in T cells that expressed PD-1, regardless of the location obtained. Functionally, peripheral blood PD-1+ T cells had a significantly increased proliferative capacity upon activation compared with PD-1- T cells. Conclusions: Our evidence suggests that PD-1 expression in patients with glioma reflects chronically activated effector T cells that display hallmarks of memory and exhaustion depending on its anatomic location. The decreased diversity in PD-1+ T cells suggests that the PD-1-expressing population has a narrower range of cognate antigen targets compared with the PD-1 nonexpression population. This information can be used to inform how we interpret immune responses to PD-1-blocking therapies or other immunotherapies.

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