A Comprehensive Metabolomics Analysis of Fecal Samples from Advanced Adenoma and Colorectal Cancer Patients
Accurate diagnosis of colorectal cancer (CRC) still relies on invasive colonoscopy. Noninvasive methods are less sensitive in detecting the disease, particularly in the early stage. In the current work, a metabolomics analysis of fecal samples was carried out by ultra-high-performance liquid chromat...
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MDPI AG
2022-06-01
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| Series: | Metabolites |
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| Online Access: | https://www.mdpi.com/2218-1989/12/6/550 |
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| author | Oiana Telleria Oihane E. Alboniga Marc Clos-Garcia Beatriz Nafría-Jimenez Joaquin Cubiella Luis Bujanda Juan Manuel Falcón-Pérez |
| author_facet | Oiana Telleria Oihane E. Alboniga Marc Clos-Garcia Beatriz Nafría-Jimenez Joaquin Cubiella Luis Bujanda Juan Manuel Falcón-Pérez |
| author_sort | Oiana Telleria |
| collection | DOAJ |
| description | Accurate diagnosis of colorectal cancer (CRC) still relies on invasive colonoscopy. Noninvasive methods are less sensitive in detecting the disease, particularly in the early stage. In the current work, a metabolomics analysis of fecal samples was carried out by ultra-high-performance liquid chromatography–tandem mass spectroscopy (UPLC-MS/MS). A total of 1380 metabolites were analyzed in a cohort of 120 fecal samples from patients with normal colonoscopy, advanced adenoma (AA) and CRC. Multivariate analysis revealed that metabolic profiles of CRC and AA patients were similar and could be clearly separated from control individuals. Among the 25 significant metabolites, sphingomyelins (SM), lactosylceramides (LacCer), secondary bile acids, polypeptides, formiminoglutamate, heme and cytidine-containing pyrimidines were found to be dysregulated in CRC patients. Supervised random forest (RF) and logistic regression algorithms were employed to build a CRC accurate predicted model consisting of the combination of hemoglobin (Hgb) and bilirubin E,E, lactosyl-N-palmitoyl-sphingosine, glycocholenate sulfate and STLVT with an accuracy, sensitivity and specificity of 91.67% (95% Confidence Interval (CI) 0.7753–0.9825), 0.7 and 1, respectively. |
| first_indexed | 2024-03-09T23:03:48Z |
| format | Article |
| id | doaj.art-3dc9a26a23c046dea4ccb3a0669a6e04 |
| institution | Directory Open Access Journal |
| issn | 2218-1989 |
| language | English |
| last_indexed | 2024-03-09T23:03:48Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Metabolites |
| spelling | doaj.art-3dc9a26a23c046dea4ccb3a0669a6e042023-11-23T17:56:31ZengMDPI AGMetabolites2218-19892022-06-0112655010.3390/metabo12060550A Comprehensive Metabolomics Analysis of Fecal Samples from Advanced Adenoma and Colorectal Cancer PatientsOiana Telleria0Oihane E. Alboniga1Marc Clos-Garcia2Beatriz Nafría-Jimenez3Joaquin Cubiella4Luis Bujanda5Juan Manuel Falcón-Pérez6Exosomes Laboratory, CIC bioGUNE-BRTA, CIBERehd, Bizkaia Technology Park, 48160 Bilbao, SpainMetabolomics Platform, CIC bioGUNE-BRTA, CIBERehd, Bizkaia Technology Park, 48160 Bilbao, SpainLEITAT Technological Center, C/de la Innovació, 2, 08225 Terrassa, SpainOsakidetza Basque Health Service, Donostialdea Integrated Health Organisation, Clinical Biochemistry Department, 20014 San Sebastian, SpainDepartment of Gastroenterology, Complexo Hospitalario Universitario de Ourense, Instituto de Investigación Sanitaria Galicia Sur, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), 32005 Ourense, SpainDepartment of Gastroenterology, Hospital Donostia/Instituto Biodonostia, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Universidad del País Vasco (UPV/EHU), 20014 San Sebastián, SpainExosomes Laboratory, CIC bioGUNE-BRTA, CIBERehd, Bizkaia Technology Park, 48160 Bilbao, SpainAccurate diagnosis of colorectal cancer (CRC) still relies on invasive colonoscopy. Noninvasive methods are less sensitive in detecting the disease, particularly in the early stage. In the current work, a metabolomics analysis of fecal samples was carried out by ultra-high-performance liquid chromatography–tandem mass spectroscopy (UPLC-MS/MS). A total of 1380 metabolites were analyzed in a cohort of 120 fecal samples from patients with normal colonoscopy, advanced adenoma (AA) and CRC. Multivariate analysis revealed that metabolic profiles of CRC and AA patients were similar and could be clearly separated from control individuals. Among the 25 significant metabolites, sphingomyelins (SM), lactosylceramides (LacCer), secondary bile acids, polypeptides, formiminoglutamate, heme and cytidine-containing pyrimidines were found to be dysregulated in CRC patients. Supervised random forest (RF) and logistic regression algorithms were employed to build a CRC accurate predicted model consisting of the combination of hemoglobin (Hgb) and bilirubin E,E, lactosyl-N-palmitoyl-sphingosine, glycocholenate sulfate and STLVT with an accuracy, sensitivity and specificity of 91.67% (95% Confidence Interval (CI) 0.7753–0.9825), 0.7 and 1, respectively.https://www.mdpi.com/2218-1989/12/6/550untargeted metabolomicscolorectal cancerfaecal samplesbiomarkers |
| spellingShingle | Oiana Telleria Oihane E. Alboniga Marc Clos-Garcia Beatriz Nafría-Jimenez Joaquin Cubiella Luis Bujanda Juan Manuel Falcón-Pérez A Comprehensive Metabolomics Analysis of Fecal Samples from Advanced Adenoma and Colorectal Cancer Patients Metabolites untargeted metabolomics colorectal cancer faecal samples biomarkers |
| title | A Comprehensive Metabolomics Analysis of Fecal Samples from Advanced Adenoma and Colorectal Cancer Patients |
| title_full | A Comprehensive Metabolomics Analysis of Fecal Samples from Advanced Adenoma and Colorectal Cancer Patients |
| title_fullStr | A Comprehensive Metabolomics Analysis of Fecal Samples from Advanced Adenoma and Colorectal Cancer Patients |
| title_full_unstemmed | A Comprehensive Metabolomics Analysis of Fecal Samples from Advanced Adenoma and Colorectal Cancer Patients |
| title_short | A Comprehensive Metabolomics Analysis of Fecal Samples from Advanced Adenoma and Colorectal Cancer Patients |
| title_sort | comprehensive metabolomics analysis of fecal samples from advanced adenoma and colorectal cancer patients |
| topic | untargeted metabolomics colorectal cancer faecal samples biomarkers |
| url | https://www.mdpi.com/2218-1989/12/6/550 |
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