Literature DB >> 29986909

TIGIT immune checkpoint blockade restores CD8+ T-cell immunity against multiple myeloma.

Camille Guillerey1,2, Heidi Harjunpää2,3, Nadège Carrié4, Sahar Kassem4, Tricia Teo1,2, Kim Miles1, Sophie Krumeich1, Marianne Weulersse4, Marine Cuisinier4, Kimberley Stannard1, Yuan Yu1, Simone A Minnie5, Geoffrey R Hill5, William C Dougall1, Hervé Avet-Loiseau4,6, Michele W L Teng2,3, Kyohei Nakamura1, Ludovic Martinet4,6, Mark J Smyth1,2.   

Abstract

Immune-based therapies hold promise for the treatment of multiple myeloma (MM), but so far, immune checkpoint blockade targeting programmed cell death protein 1 has not proven effective as single agent in this disease. T-cell immunoglobulin and ITIM domains (TIGIT) is another immune checkpoint receptor known to negatively regulate T-cell functions. In this study, we investigated the therapeutic potential of TIGIT blockade to unleash immune responses against MM. We observed that, in both mice and humans, MM progression was associated with high levels of TIGIT expression on CD8+ T cells. TIGIT+ CD8+ T cells from MM patients exhibited a dysfunctional phenotype characterized by decreased proliferation and inability to produce cytokines in response to anti-CD3/CD28/CD2 or myeloma antigen stimulation. Moreover, when challenged with Vk*MYC mouse MM cells, TIGIT-deficient mice showed decreased serum monoclonal immunoglobulin protein levels associated with reduced tumor burden and prolonged survival, indicating that TIGIT limits antimyeloma immune responses. Importantly, blocking TIGIT using monoclonal antibodies increased the effector function of MM patient CD8+ T cells and suppressed MM development. Altogether our data provide evidence for an immune-inhibitory role of TIGIT in MM and support the development of TIGIT-blocking strategies for the treatment of MM patients.
© 2018 by The American Society of Hematology.

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Year:  2018        PMID: 29986909     DOI: 10.1182/blood-2018-01-825265

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  85 in total

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