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Updated: Mar 8, 2026

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Evaluation of Colorectal Cancer Risk and Prevalence by Stool DNA Integrity Detection
Published on: June 8, 2020
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Mass Spectrometry-Based Analysis for the Discovery and Validation of Potential Colorectal Cancer Stool Biomarkers
C S Ang1, M S Baker2, E C Nice3
1Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Parkville, VIC, Australia.
Methods in Enzymology
|February 1, 2017
Summary
Developing new fecal biomarkers for colorectal cancer (CRC) is crucial for early detection. This study details methods to identify and analyze fecal proteins for improved CRC surveillance and personalized medicine.
Area of Science:
- Biomarker Discovery
- Proteomics
- Gastroenterology
Background:
- Colorectal cancer (CRC) is a leading cause of cancer mortality.
- Early CRC detection significantly improves survival rates (>90% with timely resection).
- Current diagnostic biomarkers lack the necessary sensitivity and specificity for early detection.
Purpose of the Study:
- To develop novel, non-invasive biomarkers for early colorectal cancer (CRC) detection.
- To establish robust protocols for analyzing the fecal proteome for CRC biomarkers.
- To advance the use of fecal samples for improved CRC surveillance.
Main Methods:
- Utilizing mass spectrometry for targeted discovery and validation of CRC biomarkers.
- Developing protocols to mine the fecal proteome for candidate proteins.
- Identifying proteotypic/unitypic peptides for sensitive and specific quantitative multiplexed analysis.
- Performing high-throughput analysis of clinical samples.
Main Results:
- Detailed protocols are presented for fecal proteome analysis.
- Methods enable identification of candidate proteins and specific peptides for CRC detection.
- The approach facilitates high-throughput analysis of clinical samples.
Conclusions:
- Fecal sample analysis offers advantages for non-invasive CRC biomarker discovery.
- Mass spectrometry-based proteomics provides a powerful tool for identifying sensitive and specific CRC biomarkers.
- This technology supports the shift towards personalized medicine in CRC management.
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