Functional protease profiling for diagnosis of malignant disease

Area of Science:

• Proteomics
• Biochemistry
• Clinical Diagnostics

Background:

• Clinical proteomic profiling aims to detect diseases like cancer by analyzing mass spectrometry (MS) data from clinical samples.
• Current proteomic approaches face challenges due to high-abundance proteins and protease activity, hindering standardization and routine diagnostics.
• Mass spectrometry (MS) is sensitive to low-molecular-weight peptides, particularly fragments of degraded proteins found in serum.

Purpose of the Study:

• To review and discuss proteomic techniques for identifying tumor-specific protease-substrate interactions.
• To highlight the diagnostic potential of functional protease profiling in cancer detection and classification.
• To address the challenges in standardizing clinical proteomic profiling for routine diagnostic applications.

Main Methods:

• Utilizing mass spectrometry (MS) for analyzing peptide fragments in clinical specimens.
• Employing various proteomic screening strategies, including peptide libraries and activity-based protein profiling.
• Developing quantitative degradomic analysis to identify protease-generated neo-N-termini.
• Monitoring exogenous reporter peptide degradation via MS to assess protease activity.

Main Results:

• Proteomic screens are advancing the identification of protease-substrate interactions relevant to cancer.
• Tumor-specific proteases released into the bloodstream indicate invasive progression and metastasis.
• The determination of protease activity offers potential diagnostic and therapeutic strategies for malignant diseases.

Conclusions:

• Proteomic techniques show significant potential for identifying tumor-specific protease-substrate interactions.
• Functional protease profiling holds promise for advancing cancer diagnostics and classification.
• Further development and standardization of these proteomic approaches are crucial for clinical translation.