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

Authors :
Jane J. Thomas
Kyle Tegtmeyer
Joan Guitart
Deepak A. Rao
Tim Wartewig
Kimberly G. Ringbloom
Caroline Snowden
Pui-Yan Kwok
Calvin Law
Joonhee Park
Carly Conran
David R. Pease
Jay Daniels
Yujin Lee
Katie Lee
Jeffrey A. Sosman
Farah Abdulla
Barbara Pro
Jingyi Yang
Sara Choi
Balaji Jothishankar
Samuel H. Mo
Titus J. Boggon
Jaehyuk Choi
Maria Estela Martinez-Escala
Yancong Zhang
Jürgen Ruland
Peter G. Doukas
Abner Louissaint
Source :
Blood
Publication Year :
2020

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.

Details

ISSN :
15280020
Volume :
138
Issue :
14
Database :
OpenAIRE
Journal :
Blood
Accession number :
edsair.doi.dedup.....9f5b74f4424d997db95125417a2b717d