ArticleNature communications2024
Spatially-resolved transcriptomics reveal macrophage heterogeneity and prognostic significance in diffuse large B-cell lymphoma.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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Who cites it
40 citing papers in PubMed.
- Spatial transcriptomics unveils immune cellular ecosystems associated with patient survival in diffuse large B-cell lymphoma.Oncoimmunology · 2026Article
- Neoplastic CD3⁺ B cells remodel the DLBCL tumor microenvironment via single-cell and spatial transcriptomics.Cancer biology & therapy · 2026Article
- Low lymphoma macrophage infiltration predicts poor outcomes for R-CHOP- but not Pola-R-CHP-treated patients with DLBCL.Blood neoplasia · 2026Article
- Article
- Same-Slide Spatial Multiomics Integration with IN-DEPTH Reveals Tumor Virus-Linked Spatial Reorganization of the Tumor Microenvironment.Cancer discovery · 2026Article
- Quantitative longitudinal photoacoustic imaging of vascular oxygenation for therapy response monitoring in Non-Hodgkin lymphoma.Photoacoustics · 2026Article
- Cancer Heterogeneity and Cancer Cell Plasticity: Molecular Mechanisms and Precision Therapy.MedComm · 2026Review
- Spatiotemporal Sequential Delivery of Chidamide Regulates Macrophage Reprogramming in Lymphoma Microenvironment Through HDACs-STAT3 Pathway.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- An integrated machine learning and mendelian randomization approach identifies SERPING1 as a prognostic biomarker associated with CD8 + T-cell infiltration in DLBCL.Discover oncology · 2026Article
- Folate receptor beta targeting of tumor-associated macrophages improves lymphoma cell responses to CD19 CAR T cells.HemaSphere · 2026Article
- A Laminar Microfluidic Platform for Probing the Effects of Spatially Heterogeneous Drug Distributions.Micromachines · 2026Article
- Soluble E-Cadherin as a New Prognostic Biomarker Able to Predict Survival in Newly Diagnosed Diffuse Large B-Cell Lymphoma.Biomolecules · 2026Article
- Spatiotemporal dynamics of radioresistance: decoding macrophage-driven radioprotective niches through temporal-spatial reprogramming.Molecular cancer · 2026Review
- Engineering macrophages for cancer immunotherapy: emerging insights and therapeutic potential.npj biomedical innovations · 2026Review
- Myeloid landscape profiling identifies DLBCL-specific suppressive macrophages colocalized with blood endothelial cells.Blood advances · 2026Article
- The three-dimensional landscape of tumor-associated macrophages in reactive and neoplastic human lymph nodes.PLOS digital health · 2026Article
- IBA-1Research square · 2026Article
- Macrophage phagocytosis checkpoints in DLBCL immunotherapy: an evidence-maturity framework from CD47 to CD200.Frontiers in oncology · 2026Review
- The impact of the large B-cell lymphoma tumor microenvironment on efficacy of CD19-directed CAR-T immunotherapy.Frontiers in immunology · 2026Review
- Integrative Multiomics and Single-Cell Profiling Identify TNFRSF1AComputational and structural biotechnology journal · 2026Article
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Authors and funding
29 authors.
Funding
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.
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