Nature Communications (Mar 2024)

Spatially-resolved transcriptomics reveal macrophage heterogeneity and prognostic significance in diffuse large B-cell lymphoma

  • Min Liu,
  • Giorgio Bertolazzi,
  • Shruti Sridhar,
  • Rui Xue Lee,
  • Patrick Jaynes,
  • Kevin Mulder,
  • Nicholas Syn,
  • Michal Marek Hoppe,
  • Shuangyi Fan,
  • Yanfen Peng,
  • Jocelyn Thng,
  • Reiya Chua,
  • Jayalakshmi,
  • Yogeshini Batumalai,
  • Sanjay De Mel,
  • Limei Poon,
  • Esther Hian Li Chan,
  • Joanne Lee,
  • Susan Swee-Shan Hue,
  • Sheng-Tsung Chang,
  • Shih-Sung Chuang,
  • K. George Chandy,
  • Xiaofei Ye,
  • Qiang Pan-Hammarström,
  • Florent Ginhoux,
  • Yen Lin Chee,
  • Siok-Bian Ng,
  • Claudio Tripodo,
  • Anand D. Jeyasekharan

DOI
https://doi.org/10.1038/s41467-024-46220-z
Journal volume & issue
Vol. 15, no. 1
pp. 1 – 15

Abstract

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Abstract Macrophages are abundant immune cells in the microenvironment of diffuse large B-cell lymphoma (DLBCL). Macrophage estimation by immunohistochemistry shows varying prognostic significance across studies in DLBCL, and does not provide a comprehensive analysis of macrophage subtypes. Here, using digital spatial profiling with whole transcriptome analysis of CD68+ cells, we characterize macrophages in distinct spatial niches of reactive lymphoid tissues (RLTs) and DLBCL. We reveal transcriptomic differences between macrophages within RLTs (light zone /dark zone, germinal center/ interfollicular), and between disease states (RLTs/ DLBCL), which we then use to generate six spatially-derived macrophage signatures (MacroSigs). We proceed to interrogate these MacroSigs in macrophage and DLBCL single-cell RNA-sequencing datasets, and in gene-expression data from multiple DLBCL cohorts. We show that specific MacroSigs are associated with cell-of-origin subtypes and overall survival in DLBCL. This study provides a spatially-resolved whole-transcriptome atlas of macrophages in reactive and malignant lymphoid tissues, showing biological and clinical significance.