Accurate classification of ependymomas and medulloblastomas using Raman spectroscopy and pilot transcriptomic...

Area of Science:

• Oncology
• Biochemistry
• Spectroscopy

Background:

• Accurate differentiation of posterior fossa tumors like ependymomas and medulloblastomas is crucial for patient outcomes.
• Current diagnostic methods can be time-consuming and may require invasive procedures.

Purpose of the Study:

• To evaluate the efficacy of Raman spectroscopy in discriminating between ependymomas and medulloblastomas.
• To explore the potential of Raman spectroscopy as a complementary diagnostic tool in neuro-oncology.

Main Methods:

• Retrospective analysis of Raman spectra from 34 frozen and formalin-fixed, paraffin-embedded (FFPE) tumor specimens.
• Utilized principal component analysis-support vector machine (PCA-SVM) classifier with fivefold cross-validation.
• Pilot spatial transcriptomics analysis on FFPE sections using the 10× Genomics Xenium In Situ platform.

Main Results:

• Raman spectroscopy achieved >90% accuracy in distinguishing ependymomas from medulloblastomas.
• Identified distinct spectral signatures: higher lipid bands in ependymomas and higher deoxyhemoglobin bands in medulloblastomas.
• Observed spectral differences correlated with biochemical composition (lipids, heme) and tissue context.

Conclusions:

• Raman spectroscopy is a powerful label-free technique for differentiating posterior fossa ependymomas and medulloblastomas.
• Findings suggest potential for Raman spectroscopy to aid surgical and therapeutic decision-making in neuro-oncology.
• Further prospective studies are needed to validate clinical generalizability and intraoperative translation.