Protocol for AI-powered classification of IDH-mutant astrocytoma using GUIDE

Area of Science:

• Oncology
• Computational Biology
• Genomics

Background:

• Accurate cancer subtype identification is crucial for prognosis but challenging with routine diagnostics.
• Isocitrate dehydrogenase (IDH)-mutant astrocytomas require precise subtyping for effective treatment strategies.

Purpose of the Study:

• To present a protocol for predicting IDH-mutant astrocytoma subtypes using the GUIDE tool.
• To enable robust subtype classification by integrating histopathology images and multi-omics data.

Main Methods:

• The protocol details image and omics data preparation for the GUIDE Docker container.
• It outlines the execution of subtype inference and standardized output retrieval.
• GUIDE facilitates flexible subtype classification with variable data availability.

Main Results:

• The GUIDE protocol provides accurate subtype predictions for IDH-mutant astrocytomas.
• Integration of histopathology images and multi-omics data enhances classification robustness.
• The system is designed for variable data availability, offering flexibility.

Conclusions:

• The GUIDE protocol offers a reliable method for classifying IDH-mutant astrocytoma subtypes.
• This approach enhances prognostic accuracy beyond routine diagnostic methods.
• The protocol supports diverse data inputs for comprehensive analysis.