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Metabolomic Pathway Activity with Genomic Single-Nucleotide Polymorphisms Associated with Colorectal Cancer
Christina A Fleming1,2, Helen M Mohan3, Donal P O'Leary4
1Department of Colorectal Surgery, Cork University Hospital, Cork, Ireland. christina.fleming49@gmail.com.
Journal of Gastrointestinal Cancer
|March 3, 2022
Summary
Metabolomic pathway activity, including the urea cycle and glycine/serine metabolism, predicts colorectal cancer recurrence. Specific metabolic signatures and genetic variations (SNPs) are linked to poor prognosis in CRC patients.
Area of Science:
- Oncology
- Metabolomics
- Genetics
Background:
- Metabolomic analysis is an emerging field in colorectal cancer (CRC) research.
- It holds potential for prognostic insights and therapeutic targeting.
Purpose of the Study:
- To identify metabolomic pathway activity prognostic for CRC recurrence and overall survival.
- To cross-reference these findings with prognostic genomic single-nucleotide polymorphisms (SNPs).
Main Methods:
- Systematic literature search of PubMed, Embase, and Cochrane Library following PRISMA guidelines.
- Utilized MetaboAnalyst software to map metabolite-associated pathways and identify prognostic SNPs.
- Referenced HMDB, SMPDB, PubChem, and KEGG databases for comprehensive analysis.
Main Results:
- Nine studies involving 1117 patients were analyzed.
- Increased activity in the urea cycle, ammonia recycling, and glycine/serine metabolism predicted CRC recurrence.
- Aspartate metabolism and ammonia recycling predicted survival.
- Identified eight SNPs prognostic for recurrence and three for survival, with two overlapping.
Conclusions:
- Specific metabolites and metabolic pathway activity are associated with poor prognostic colorectal cancers.
- These metabolic signatures correlate with specific genomic SNPs, offering potential biomarkers.
