Diffuse Large B-Cell Lymphoma
DLBCL encompasses biologically distinct subtypes that differ in cell-of-origin, microenvironment composition, and spatial architecture — making it particularly suited for multi-modal digital twin approaches that integrate genomic, transcriptomic, and image-based data.
Biological Heterogeneity in DLBCL
Cell-of-Origin Diversity
DLBCL is classified into germinal center B-cell (GCB) and activated B-cell (ABC) subtypes, each with distinct biology, signaling dependencies, and specific molecular vulnerabilities. Beyond this binary classification, a continuum of intermediate states exists that influences biological behavior.
Spatial Microenvironment Architecture
The spatial organization of immune cells within and around tumor tissue — infiltration patterns, exclusion zones, and immune-tumor proximity — provides critical information about immune contexture that bulk molecular data alone cannot capture. Digital pathology enables this level of spatial analysis.
Multi-Modal Data Requirements
Understanding DLBCL biology requires integrating genomic mutations, transcriptomic profiles, protein expression, and histological features. Image-omics approaches that combine H&E-derived features with molecular data offer a more comprehensive view of disease biology than any single modality.
Functional States
Through image-omics integration, Helomnix identifies interpretable functional states in DLBCL that reflect:
Questions the Digital Twin Supports
Helomnix digital twins provide structured biological representations for research and translational support. They are not intended for clinical decision-making.