Pan-cancer analysis of spatial transcriptomics reveals heterogeneous tumor spatial microenvironment
Where immune cells position themselves within tumors may predict which patients will respond to immunotherapy, offering a way to guide treatment choices.
A large-scale pan-cancer spatial transcriptomic analysis of 373 samples across 12 cancer types identified 13 recurrent tumor microenvironment niches, with specific macrophage spatial positioning predicting immunotherapy resistance or response. These findings provide mechanistic context for immunotherapy non-response and suggest spatial biomarkers could guide treatment selection.
What the study was
- Study design
- Pan-cancer retrospective spatial transcriptomic analysis (n=373 samples, 12 cancer types)
- Population
- Multiple cancer types across 12 tumor histologies
- Sample size
- 373
- Category
- Genomics/Precision Medicine
- Maturity
- Exploratory
- Journal
- Cell Reports Medicine
Why it surfaced
High-novelty pan-cancer spatial transcriptomics dataset; niche-specific immunotherapy resistance findings are scientifically important but require prospective validation before clinical implementation.
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