10/23/2025
🧬 Spatially mapping DLBCL’s immune microenvironments reveals targetable inflammatory niches
Nature Genetics (2025) — MD Anderson & collaborators
Using high-plex single-cell spatial transcriptomics (CosMx) and spatial proteomics (CODEX) across 78 DLBCL tumors, this study defines seven stereotyped cellular niches (CNs) that shape T-cell and tumor B-cell phenotypes via distinct neighbor interactions and signaling.
Key insights:
• Seven niches (e.g., T-cell–rich CN1, myeloid-rich CN3, tumor-B–dense CN5, diffuse CN6) organize how cells co-localize and communicate.
• Immune-privileged site (IPS) DLBCL (CNS/testis/eye): surprisingly robust T-cell infiltration with strong cytotoxic and proliferative signatures, yet co-inhibitory signaling (PD-1/PD-L1, LAG3, TIM3) → immunotherapy-amenable “inflammatory” niches.
• EBV-positive DLBCL: enriched T-cell and mixed niches; T cells show high cytotoxicity plus exhaustion, supporting checkpoint blockade, CAR-T, and bispecific strategies.
• Tumor-B–dense CN5: driven by the CXCL12–CXCR4 axis, high proliferation and BCL2 expression, leading to suppressed T-cell function—a rationale for CXCR4/BCL2-targeted therapies.
• Why spatial matters: Directly captures neighborhoods and ligand–receptor wiring that bulk RNA or deconvolution methods miss—unlocking new mechanistic and therapeutic insights.
Clinical & translational takeaways:
✅ Use spatial niche profiling to guide immunotherapy selection.
✅ Combine checkpoint targets (PD-1 + LAG3/TIM3) for IPS/EBV+ cases.
✅ Target CXCR4/BCL2 in dense tumor niches (CN5).
✅ Provide AI-ready spatial data to predict microenvironment features from H&E slides.
Yibo Dai, Atish Kizhakeyil, Dai Chihara, Xubin Li, Yunhe Liu, Tania Patricia Sainz Zuniga, Ashley Wilson, Jared Henderson, Daniil Vibe, Arman A Petrosyants, Connor Jacobson, Alexander Sarachakov, Krystle Nomie, Kirill Kryukov, Alexander Bagaev, Ayushi Chauhan, Jason Westin, MD MS FASCO, Christopher R. Flowers, MD, Francisco Vega, Linghua Wang & Michael Green
https://www.nature.com/articles/s41588-025-02353-5
Analysis of the immune microenvironment of diffuse B cell lymphomas using spatial transcriptomics, proteomics and genomics highlights discrete cellular niches with divergent patterns of cell–cell communication that contribute to the phenotypic heterogeneity of both tumor and immune cells.