Integrated genomic analyses of cutaneous T-cell lymphomas reveal the molecular bases for disease heterogeneity

Joonhee Park(Northwestern University), Jay Daniels(Northwestern University), Tim Wartewig(Technical University of Munich), Kimberly G. Ringbloom(Northwestern University), Maria Estela Martínez‐Escala, Sara Choi, Jane Joy Thomas(Northwestern University), Peter Doukas, Jingyi Yang(Northwestern University), Caroline Snowden(Northwestern University), Calvin Law(Northwestern University), Yujin Lee(Northwestern University), Katie Lee(Northwestern University), Yancong Zhang(Northwestern University), Carly Conran, Kyle Tegtmeyer(Northwestern University), Samuel Mo(Northwestern University), David R. Pease, Balaji Jothishankar(University of Chicago), Pui–Yan Kwok(University of California, San Francisco), Farah Abdulla(City of Hope), Barbara Pro(Northwestern University), Abner Louissaint(Massachusetts General Hospital), Titus J. Boggon(Yale University), Jeffrey A. Sosman(Northwestern University), Joan Guitart, Deepak A. Rao(Brigham and Women's Hospital), Jürgen Ruland(German Cancer Research Center), Jaehyuk Choi(Northwestern University)
Blood
June 11, 2021
Cited by 98Open Access
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Abstract

Cutaneous T-cell lymphomas (CTCLs) are a clinically heterogeneous collection of lymphomas of the skin-homing T cell. To identify molecular drivers of disease phenotypes, we assembled representative samples of CTCLs from patients with diverse disease subtypes and stages. Via DNA/RNA-sequencing, immunophenotyping, and ex vivo functional assays, we identified the landscape of putative driver genes, elucidated genetic relationships between CTCLs across disease stages, and inferred molecular subtypes in patients with stage-matched leukemic disease. Collectively, our analysis identified 86 putative driver genes, including 19 genes not previously implicated in this disease. Two mutations have never been described in any cancer. Functionally, multiple mutations augment T-cell receptor-dependent proliferation, highlighting the importance of this pathway in lymphomagenesis. To identify putative genetic causes of disease heterogeneity, we examined the distribution of driver genes across clinical cohorts. There are broad similarities across disease stages. Many driver genes are shared by mycosis fungoides (MF) and Sezary syndrome (SS). However, there are significantly more structural variants in leukemic disease, leading to highly recurrent deletions of putative tumor suppressors that are uncommon in early-stage skin-centered MF. For example, TP53 is deleted in 7% and 87% of MF and SS, respectively. In both human and mouse samples, PD1 mutations drive aggressive behavior. PD1 wild-type lymphomas show features of T-cell exhaustion. PD1 deletions are sufficient to reverse the exhaustion phenotype, promote a FOXM1-driven transcriptional signature, and predict significantly worse survival. Collectively, our findings clarify CTCL genetics and provide novel insights into pathways that drive diverse disease phenotypes.


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