Mass Spectrometry Imaging Spatial Tissue Analysis toward Personalized Medicine

Area of Science:

• Biomedical engineering
• Molecular pathology
• Precision medicine

Background:

• Advanced profiling methods are crucial for precise diagnostics and personalized healthcare.
• Integrating multi-omic data with traditional tissue analysis offers comprehensive disease assessment.
• Mass spectrometry imaging (MSI) provides direct molecular-level insights from tissue samples.

Purpose of the Study:

• To explore the application of mass spectrometry imaging in understanding molecular imbalances.
• To investigate the utility of MSI for tumor subtyping, patient prognosis, and intraoperative tissue evaluation.
• To highlight the potential of MSI in advancing disease management through tissue characterization.

Main Methods:

• Utilizing mass spectrometry imaging for direct molecular measurement from tissue.
• Analyzing lipids, metabolites, glycans, and proteins to understand cellular behavior.
• Combining omics data with macro- and microscopic tissue analysis.

Main Results:

• MSI enables detailed molecular profiling of tissues.
• The technology shows promise for tumor subtyping and prognosis.
• Potential for intraoperative tissue evaluation and disease management applications.

Conclusions:

• Mass spectrometry imaging is a powerful tool for molecular tissue profiling.
• Further intercenter studies are needed to confirm reproducibility and applicability of classification models.
• MSI has the potential to significantly assist in disease management and personalized healthcare.