PanorOmics

PanorOmics contextualizes genomic alterations from individual cancer genomes within clinical and scientific evidence by mapping mutations onto the human interactome across 26 distinct tumor types to support precision oncology.

Key Features:

• Multi-tumor integration: Integrates genomic data from 26 distinct tumor types to enable cross-cohort comparisons and aggregation of evidence.
• Cohort- and patient-centric views: Provides both cohort-level and patient-level perspectives to compare individual tumors against aggregated datasets.
• Human interactome mapping: Maps genomic alterations onto the human interactome to place mutations within cellular network context.
• Structural annotation: Supplies quasi-atomic structural insights for altered proteins when structural data are available.
• Actionability assessment: Identifies actionable genetic alterations to inform clinical decision-making.
• Evidence contextualization: Contextualizes variants within clinical and scientific evidence to aid interpretation.

Scientific Applications:

• Precision oncology: Supports precision oncology by linking patient-specific genomic alterations to cohort evidence and actionable targets.
• Personalized treatment strategies: Enables interpretation of tumor type-specific driver genes and patient-specific alterations for individualized therapeutic planning.
• Clinical interpretation: Aids clinical decision-making by combining network context and structural annotation to assess variant relevance.
• Genetic counseling support: Supports integration of findings with genetic counseling and medical advice for patient care.

Methodology:

Integrates genomic data from 26 tumor types, maps genomic alterations onto the human interactome, provides cohort- and patient-centric views, and annotates altered proteins with quasi-atomic structural information when available.