Literature DB >> 30292745

Over-expression of PD-1 Does Not Predict Leukemic Relapse after Allogeneic Stem Cell Transplantation.

Prachi Jain1, Xin Tian2, Stefan Cordes1, Jinguo Chen3, Caroline R Cantilena1, Christian Bradley1, Reema Panjwani1, Fariba Chinian1, Keyvan Keyvanfar1, Minoo Battiwalla1, Pawel Muranski1, A John Barrett1, Sawa Ito4.   

Abstract

Blockade of the T-cell exhaustion marker PD-1 to re-energize the immune response is emerging as a promising cancer treatment. Relapse of hematologic malignancy after allogeneic stem cell transplantation limits the success of this approach, and PD-1 blockade may hold therapeutic promise. However, PD-1 expression and its relationship with post-transplant relapse is poorly described. Because the donor immunity is activated by alloresponses, PD-1 expression may differ from nontransplanted individuals, and PD-1 blockade could risk graft-versus-host disease. Here we analyzed T-cell exhaustion marker kinetics and their relationship with leukemia relapse in 85 patients undergoing myeloablative T-cell-depleted HLA-matched stem cell transplantation. At a median follow-up of 3.5 years, 35 (44%) patients relapsed. PD-1 expression in CD4 and CD8 T cells was comparably elevated in relapsed and nonrelapsed cohorts. Helios+ regulatory T cells and CD8 effector memory cells at day 30 emerged as independent predictors of relapse. Although leukemia antigen-specific T cells did not overexpress PD-1, single-cell analysis revealed LAG3 and TIM3 overexpression at relapse. These findings indicate that PD-1 is an unreliable marker for leukemia-specific T-cell exhaustion in relapsing patients but implies other exhaustion markers and suppressor cells as relapse biomarkers.
Copyright © 2018. Published by Elsevier Inc.

Entities:  

Keywords:  Biomarker; Graft-versus-leukemia effect; Post-transplant relapse

Mesh:

Substances:

Year:  2018        PMID: 30292745     DOI: 10.1016/j.bbmt.2018.09.037

Source DB:  PubMed          Journal:  Biol Blood Marrow Transplant        ISSN: 1083-8791            Impact factor:   5.742


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