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Intratumor heterogeneity and T cell exhaustion in primary CNS lymphoma

Authors :
Michael, Heming
Svea, Haessner
Jolien, Wolbert
I-Na, Lu
Xiaolin, Li
Benjamin, Brokinkel
Michael, Müther
Markus, Holling
Walter, Stummer
Christian, Thomas
Andreas, Schulte-Mecklenbeck
Flavia, de Faria
Marlon, Stoeckius
Stephan, Hailfinger
Georg, Lenz
Kornelius, Kerl
Heinz, Wiendl
Gerd, Meyer Zu Hörste
Oliver M, Grauer
Source :
Genome medicine. 14(1)
Publication Year :
2021

Abstract

Primary central nervous system lymphoma (PCNSL) is a rare lymphoma of the central nervous system, usually of diffuse large B cell phenotype. Stereotactic biopsy followed by histopathology is the diagnostic standard. However, limited material is available from CNS biopsies, thus impeding an in-depth characterization of PCNSL.We performed flow cytometry, single-cell RNA sequencing, and B cell receptor sequencing of PCNSL cells released from biopsy material, blood, and cerebrospinal fluid (CSF), and spatial transcriptomics of biopsy samples.PCNSL-released cells were predominantly activated CD19sup+/supCD20sup+/supCD38sup+/supCD27sup+/supB cells. In single-cell RNA sequencing, PCNSL cells were transcriptionally heterogeneous, forming multiple malignant B cell clusters. Hyperexpanded B cell clones were shared between biopsy- and CSF- but not blood-derived cells. T cells in the tumor microenvironment upregulated immune checkpoint molecules, thereby recognizing immune evasion signals from PCNSL cells. Spatial transcriptomics revealed heterogeneous spatial organization of malignant B cell clusters, mirroring their transcriptional heterogeneity across patients, and pronounced expression of T cell exhaustion markers, co-localizing with a highly malignant B cell cluster.Malignant B cells in PCNSL show transcriptional and spatial intratumor heterogeneity. T cell exhaustion is frequent in the PCNSL microenvironment, co-localizes with malignant cells, and highlights the potential of personalized treatments.

Details

ISSN :
1756994X
Volume :
14
Issue :
1
Database :
OpenAIRE
Journal :
Genome medicine
Accession number :
edsair.pmid..........cc90d4147c3206dbe84ed4484217a33b