Intratumor heterogeneity (ITH) encompasses genetic, epigenetic, transcriptional, proteomic, and immunopeptidomic diversity. Beyond genetic heterogeneity, it is increasingly clear that non-mutational heterogeneity and plasticity generate dynamic cancer cell states with distinct immune visibility. These layers of complexity converge on the immunopeptidome, the repertoire of peptides displayed by major histocompatibility complex molecules through which tumor cells are surveyed by T cells. Variation in antigen processing, presentation, and peptide abundance across cancer clones and cell states yields spatially and temporally distinct immunological niches that shape immune recognition and therapeutic response. Here, we summarize how multidimensional ITH manifests across cancer types and constrains immunotherapy efficacy. We propose that integrating measurements across layers is a promising direction for improving biomarker identification and informing more precise immune-based treatment strategies.
Mapping intratumor heterogeneity across layers for advancing immunotherapy
Vitiello, Pietro Paolo;Bardelli, Alberto;
2026-01-01
Abstract
Intratumor heterogeneity (ITH) encompasses genetic, epigenetic, transcriptional, proteomic, and immunopeptidomic diversity. Beyond genetic heterogeneity, it is increasingly clear that non-mutational heterogeneity and plasticity generate dynamic cancer cell states with distinct immune visibility. These layers of complexity converge on the immunopeptidome, the repertoire of peptides displayed by major histocompatibility complex molecules through which tumor cells are surveyed by T cells. Variation in antigen processing, presentation, and peptide abundance across cancer clones and cell states yields spatially and temporally distinct immunological niches that shape immune recognition and therapeutic response. Here, we summarize how multidimensional ITH manifests across cancer types and constrains immunotherapy efficacy. We propose that integrating measurements across layers is a promising direction for improving biomarker identification and informing more precise immune-based treatment strategies.| File | Dimensione | Formato | |
|---|---|---|---|
|
2026-Mapping intratumor.pdf
Accesso aperto
Tipo di file:
PDF EDITORIALE
Dimensione
6.49 MB
Formato
Adobe PDF
|
6.49 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.



