The genomic and transcriptional landscape of primary central nervous system lymphoma

2022 | journal article. A publication with affiliation to the University of Göttingen.

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​The genomic and transcriptional landscape of primary central nervous system lymphoma​
Radke, J.; Ishaque, N.; Koll, R.; Gu, Z.; Schumann, E.; Sieverling, L. & Uhrig, S. et al.​ (2022) 
Nature Communications13(1) art. 2558​.​ DOI: https://doi.org/10.1038/s41467-022-30050-y 

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Authors Group
ICGC MMML-Seq Consortium
The authors list is uncomplete:
Authors
Radke, Josefine; Ishaque, Naveed; Koll, Randi; Gu, Zuguang; Schumann, Elisa; Sieverling, Lina; Uhrig, Sebastian; Hübschmann, Daniel; Toprak, Umut H.; López, Cristina; Heppner, Frank L.
Abstract
Abstract Primary lymphomas of the central nervous system (PCNSL) are mainly diffuse large B-cell lymphomas (DLBCLs) confined to the central nervous system (CNS). Molecular drivers of PCNSL have not been fully elucidated. Here, we profile and compare the whole-genome and transcriptome landscape of 51 CNS lymphomas (CNSL) to 39 follicular lymphoma and 36 DLBCL cases outside the CNS. We find recurrent mutations in JAK-STAT, NFkB, and B-cell receptor signaling pathways, including hallmark mutations in MYD88 L265P (67%) and CD79B (63%), and CDKN2A deletions (83%). PCNSLs exhibit significantly more focal deletions of HLA-D (6p21) locus as a potential mechanism of immune evasion. Mutational signatures correlating with DNA replication and mitosis are significantly enriched in PCNSL. TERT gene expression is significantly higher in PCNSL compared to activated B-cell (ABC)-DLBCL. Transcriptome analysis clearly distinguishes PCNSL and systemic DLBCL into distinct molecular subtypes. Epstein-Barr virus (EBV)+ CNSL cases lack recurrent mutational hotspots apart from IG and HLA-DRB loci. We show that PCNSL can be clearly distinguished from DLBCL, having distinct expression profiles, IG expression and translocation patterns, as well as specific combinations of genetic alterations.
Issue Date
2022
Journal
Nature Communications 
eISSN
2041-1723
Language
English

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