Cancer ResearchCancer BiologyPeer-reviewed journal article
Hematopoietic Tet2 inactivation enhances the response to checkpoint blockade immunotherapy
Vincent RondeauiD, Suraj BansaliD, Marco M. ButtigiegiD, Andy G.X. ZengiD, Darryl Y. ChaniD, Michelle Chan‐Seng‐YueiD, Jin LiqingiD, Jessica L. McLeodiD, Meghan KatesiD, Elisa DonatoiD, Patrick StelmachiD, Caitlyn VlasschaertiD, Yitong YangiD, Aarushi GuptaiD, Sofia GentaiD, Enrique Sanz‐GarcíaiD, Liran I. ShlushiD, Maurício Fernando Silva Almeida RibeiroiD, Marcus Otho ButleriD, Sagi AbelsoniD, Mark David MindeniD, Samuel David SaibiliD, Steven M. ChaniD, Michael J. RauhiD, Andreas TrumppiD, , Robert J. VanneriD
Abstract
Somatic mutations inactivating TET2 are among the most common drivers of clonal hematopoiesis (CH). While TET2 inactivation is associated with monocyte-derived inflammation and improved chimeric antigen-receptor-T cell function, its impact on immunotherapy response is unknown. In our mouse model, hematopoietic Tet2 mutation enhanced immune checkpoint blockade (ICB) response. Enhanced ICB response with Tet2 mutation required phagocytes, CD4 and CD8 T cells. Mechanistically, in Tet2-mutant tumor-infiltrating leukocytes (TILs), ICB preferentially induced anti-tumor states and restricted cell states linked to tumor progression. Tet2-mutant monocytes activated costimulatory programs, while Tet2-mutant T cells showed enhanced T cell memory signatures, lesser exhaustion and decreased regulatory phenotype. Our murine data was clinically relevant, since we found that melanomas from patients with TET2 driver mutation-CH (TET2-CH) showed enhanced immune infiltration, T cell activation, and T cell memory programs. In melanoma patients treated with ICB, TET2-CH was associated with 6-fold greater odds of clinical benefit. Collectively, our data establishes that hematopoietic Tet2 inactivation primes leukocytes for anti-tumor states associated with immunotherapy response and provides a potential biomarker for personalized therapy.
- organism: mouse
- organism: human
- assay: bulk RNA-seq
- research focus: host-pathogen & immune response
- research focus: drug response / drug discovery
- research focus: cell type annotation
- approach: experimental assay
- Citations
- 12
- FWCI
- 5.10
- Field percentile
- top 3%
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