Bone marrow transplantation generates T cell-dependent control of myeloma in mice

Slavica Vuckovic, Simone A Minnie, David Smith, Kate H Gartlan, Thomas S Watkins, Kate A Markey, Pamela Mukhopadhyay, Camille Guillerey, Rachel D Kuns, Kelly R Locke, Antonia L Pritchard, Peter A Johansson, Antiopi Varelias, Ping Zhang, Nicholas D Huntington, Nicola Waddell, Marta Chesi, John J Miles, Mark J Smyth, Geoffrey R Hill

Research output: Contribution to journalArticlepeer-review

47 Citations (Scopus)


Transplantation with autologous hematopoietic progenitors remains an important consolidation treatment for patients with multiple myeloma (MM) and is thought to prolong the disease plateau phase by providing intensive cytoreduction. However, transplantation induces inflammation in the context of profound lymphodepletion that may cause hitherto unexpected immunological effects. We developed preclinical models of bone marrow transplantation (BMT) for MM using Vk*MYC myeloma-bearing recipient mice and donor mice that were myeloma naive or myeloma experienced to simulate autologous transplantation. Surprisingly, we demonstrated broad induction of T cell-dependent myeloma control, most efficiently from memory T cells within myeloma-experienced grafts, but also through priming of naive T cells after BMT. CD8+ T cells from mice with controlled myeloma had a distinct T cell receptor (TCR) repertoire and higher clonotype overlap relative to myeloma-free BMT recipients. Furthermore, T cell-dependent myeloma control could be adoptively transferred to secondary recipients and was myeloma cell clone specific. Interestingly, donor-derived IL-17A acted directly on myeloma cells expressing the IL-17 receptor to induce a transcriptional landscape that promoted tumor growth and immune escape. Conversely, donor IFN-γ secretion and signaling were critical to protective immunity and were profoundly augmented by CD137 agonists. These data provide new insights into the mechanisms of action of transplantation in myeloma and provide rational approaches to improving clinical outcomes.

Original languageEnglish
Pages (from-to)106-121
Number of pages16
JournalJournal of Clinical Investigation
Issue number1
Early online date19 Nov 2018
Publication statusPublished - 2 Jan 2019


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