Rapid intraoperative molecular genetic classification of gliomas using Raman spectroscopy

Area of Science:

• Neuro-oncology
• Molecular Spectroscopy
• Biomolecular Analysis

Background:

• Accurate molecular genetic classification of gliomas, including isocitrate dehydrogenase (IDH) mutations, is vital for patient management.
• Raman spectroscopy offers rapid, sample-sparing analysis of tissue molecular composition.
• Current methods for glioma subtyping can be time-consuming, delaying critical treatment decisions.

Purpose of the Study:

• To evaluate Raman spectroscopy's utility for rapid, intraoperative classification of diffuse glioma genetic subtypes using fresh biopsy tissue.
• To develop and assess classification models for cryosections, FFPE sections, and glioma cell lines.

Main Methods:

• Fresh glioma tissue from neurosurgical procedures was analyzed using Raman spectroscopy.
• Classification models were built using principal component analysis and linear discriminant analysis.
• Genetic subtypes were confirmed via immunohistochemistry and targeted sequencing.

Main Results:

• Raman spectroscopy achieved 79%-94% sensitivity and 90%-100% specificity in classifying three common glioma genetic subtypes.
• Prediction of IDH mutation status alone showed 91% sensitivity and 95% specificity.
• Intraoperative classification from biopsy to genetic subtype took under 15 minutes.

Conclusions:

• Raman spectroscopy enables rapid, intraoperative classification of gliomas into key genetic subtypes.
• This technique holds significant potential for improving real-time neurosurgical decision-making.
• The method is effective across fresh tissue, cryosections, FFPE samples, and cell lines.