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Distinct plasma molecular profiles between early-onset and late-onset colorectal cancer patients revealed by metabolic and lipidomic analyses

作   者:
Zhang, ShiqiXu, RuiHu, MingChoueiry, FouadJin, NingLi, JieliMo, XiaokuiZhu, Jiangjiang
作者机构:
The Ohio State University Wexner Medical Center Department of PathologyUniversity System of OhioOhio State UnivThe Ohio State University Department of Human Sciences
关键词:
MetabolomicsDIAGNOSISLate -onsetINFLAMMATIONColorectal cancerCOLONFATTY-ACID SYNTHASEPREVALENCEMass spectrometryEXPRESSIONEarly -onset
期刊名称:
Journal of Pharmaceutical and Biomedical Analysis: An International Journal on All Drug-Related Topics in Pharmaceutical, Biomedical and Clinical Analysis
i s s n:
0731-7085
年卷期:
2024 年 241 卷
页   码:
115978-115978
页   码:
摘   要:
Colorectal cancer (CRC) incidence in younger adults has been steadily rising, warranting an in-depth investigation into the distinctions between early-onset CRC (EOCRC, < 50 years) and late-onset CRC (LOCRC, >= 50 years). Despite extensive study of clinical, pathological, and molecular traits, differentiating EOCRC from LOCRC and identifying potential biomarkers remain elusive. We analyzed plasma samples from healthy individuals, EOCRC, and LOCRC patients using liquid-chromatography mass spectrometry (LC/MS)-based metabolomics and lipidomics. Distinct polar metabolite and lipid profiles with significant metabolites altered in CRC group (e.g., choline and DG 40:4) were identified. Notably, EOCRC exhibited distinct polar metabolomic and differential lipidomic profiles compared to LOCRC, with polar metabolites like aminoadipate and uridine contributing significantly to the difference, and originating from pathways such as lysine biosynthesis and nucleotide metabolism. Furthermore, gene set enrichment analysis (GSEA) using independent TCGA gene expression data identified pathways significantly enriched in either EOCRC or LOCRC. Integrating gene expression and metabolomics data revealed numerous associations differentiating EOCRC and LOCRC. Our multi-omics integration underscores critical molecular distinctions, offers insights into the EOCRC development mechanisms and potential plasma biomarkers for diagnosis.
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