biostudies-literatureYang YShanghai Municipal Health CommissionJin-Zi-Ta Talent projects of Shanghai Changzheng Hospital, ChinaScience and Technology Talent Development Project of CPLANational Natural Science Foundation of China824https://www.ebi.ac.uk/biostudies/studies/S-EPMC10655464biostudies-literatureUnknown21(1)<h4>Background</h4>The morbidity of cancer keeps growing worldwide, and among that, the colorectal cancer (CRC) has jumped to third. Existing early screening tests for CRC are limited. The aim of this study was to develop a diagnostic strategy for CRC by plasma metabolomics.<h4>Methods</h4>A targeted amino acids metabolomics method was developed to quantify 32 plasma amino acids in 130 CRC patients and 216 healthy volunteers, to identify potential biomarkers for CRC, and an independent sample cohort comprising 116 CRC subjects, 33 precancerosiss patients and 195 healthy volunteers was further used to validate the diagnostic model. Amino acids-related genes were retrieved from Gene Expression Omnibus and Molecular Signatures Database and analyzed.<h4>Results</h4>Three were chosen out of theJournal of translational medicineProfiling the metabolic disorder and detection of colorectal cancer based on targeted amino acids metabolomics.PMC10655464YQ6728220481920214Y0319ZG2019-174Lv JLi XZhang FYang YZhong RChen WWang ZGao SfalseProfiling the metabolic disorder and detection of colorectal cancer based on targeted amino acids metabolomics.<h4>Background</h4>The morbidity of cancer keeps growing worldwide, and among that, the colorectal cancer (CRC) has jumped to third. Existing early screening tests for CRC are limited. The aim of this study was to develop a diagnostic strategy for CRC by plasma metabolomics.<h4>Methods</h4>A targeted amino acids metabolomics method was developed to quantify 32 plasma amino acids in 130 CRC patients and 216 healthy volunteers, to identify potential biomarkers for CRC, and an independent sample cohort comprising 116 CRC subjects, 33 precancerosiss patients and 195 healthy volunteers was further used to validate the diagnostic model. Amino acids-related genes were retrieved from Gene Expression Omnibus and Molecular Signatures Database and analyzed.<h4>Results</h4>Three were chosen out of the2023-01-01T00:00:00Z2023 Nov2025-04-22T18:07:06.747Z2025-04-06T02:21:09.459ZS-EPMC106554643797853710.1186/s12967-023-04604-7