Genome Medicine (Sep 2022)

Intratumor heterogeneity and T cell exhaustion in primary CNS lymphoma

  • 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

DOI
https://doi.org/10.1186/s13073-022-01110-1
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 19

Abstract

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Abstract Background 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. Methods 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. Results PCNSL-released cells were predominantly activated CD19+CD20+CD38+CD27+ B 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. Conclusions 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.

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