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Exploring Metabolic Profile Differences between Colorectal Polyp Patients and Controls Using Seemingly Unrelated
Chen Chen, Lingli Deng1, Siwei Wei
1‡Department of Electronic Science and Communication Engineering, State Key Laboratory for Physical Chemistry of Solid Surfaces, Xiamen University, Xiamen, Fujian Province 361005, China.
Researchers explored serum metabolites to identify individuals at high risk for colorectal cancer (CRC). While individual metabolites showed limited association, specific metabolite groups significantly differentiated polyp patients from healthy controls, offering a novel biomarker approach.
Area of Science:
- Biochemistry and Molecular Biology
- Oncology
- Medical Diagnostics
Background:
- Colorectal cancer (CRC) remains a leading cause of cancer-related deaths globally.
- Current noninvasive methods for identifying individuals at high risk, such as those with colon polyps, exhibit poor performance.
- Development of robust biomarkers for CRC screening, surveillance, and therapy monitoring is urgently needed.
Purpose of the Study:
- To investigate the potential of serum metabolite profiling to differentiate patients with colon polyps from healthy individuals.
- To assess the influence of demographic factors on serum metabolite levels.
- To explore biologically related metabolite groups as potential biomarkers for colon polyp detection.
Main Methods:
- Nuclear Magnetic Resonance (NMR)-based metabolite profiling of serum samples.
- Statistical analysis incorporating demographic parameters (gender, BMI, smoking status).
- Application of seemingly unrelated regression (SUR) to model correlated metabolite levels within biological groups.
Main Results:
- Demographic factors including gender, BMI, and smoking status significantly affected serum metabolite levels.
- Individually, only valine showed a slight association with polyp patients after adjusting for covariates.
- Biologically related groups of metabolites demonstrated significant associations with the presence of colon polyps.
Conclusions:
- Serum metabolite profiling, particularly focusing on metabolite groups, shows promise as a noninvasive approach for identifying individuals with colon polyps.
- Accounting for demographic confounders is crucial for accurate metabolite biomarker discovery.
- These findings offer a novel avenue for developing improved diagnostic strategies for colorectal cancer risk assessment.
