OncoThreads

OncoThreads visualizes temporal cohort-level clinical and molecular longitudinal data to reveal dynamic changes such as mutation emergence, resistant clone expansion, and treatment responses.

Key Features:

• Temporal Visualization: Uses temporal heatmaps and Sankey diagrams to represent and rank clinical and molecular features across timepoints.
• Interactive Exploration: Provides interactive analysis of longitudinal data to identify temporal patterns, including mutation impacts on treatment efficacy and emergence of resistant clones.
• Cohort Analysis: Visualizes groups of patients for cohort-level comparisons and trend identification across patient populations.
• Data Integration: Integrates clinical and molecular datasets, including next-generation sequencing and liquid biopsy data, for combined longitudinal analysis.
• Integration with Existing Platforms: Implemented in JavaScript and uses the cBioPortal web API as a backend for data access and integration.

Scientific Applications:

• Understanding Treatment Dynamics: Enables assessment of how specific mutations and molecular changes correlate with treatment outcomes over time.
• Identifying Resistance Mechanisms: Tracks emergence and expansion of resistant clones during therapy to inform studies of resistance mechanisms.
• Comparative Cohort Studies: Supports simultaneous analysis of multiple patients to reveal commonalities and differences in disease progression and treatment response across cohorts.

Methodology:

Combines clinical and molecular data sources, including next-generation sequencing and liquid biopsies; employs temporal heatmaps and Sankey diagrams for dynamic visualization; implemented in JavaScript and accesses data via the cBioPortal web API, enabling interactive longitudinal exploration.