Lipidomic Signatures for Colorectal Cancer Diagnosis and Progression Using UPLC-QTOF-ESI<sup>+</sup>MS
Metabolomics coupled with bioinformatics may identify relevant biomolecules such as putative biomarkers of specific metabolic pathways related to colorectal diagnosis, classification and prognosis. This study performed an integrated metabolomic profiling of blood serum from 25 colorectal cancer (CRC...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-03-01
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| Series: | Biomolecules |
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| Online Access: | https://www.mdpi.com/2218-273X/11/3/417 |
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| author | Claudiu Răchieriu Dan Tudor Eniu Emil Moiş Florin Graur Carmen Socaciu Mihai Adrian Socaciu Nadim Al Hajjar |
| author_facet | Claudiu Răchieriu Dan Tudor Eniu Emil Moiş Florin Graur Carmen Socaciu Mihai Adrian Socaciu Nadim Al Hajjar |
| author_sort | Claudiu Răchieriu |
| collection | DOAJ |
| description | Metabolomics coupled with bioinformatics may identify relevant biomolecules such as putative biomarkers of specific metabolic pathways related to colorectal diagnosis, classification and prognosis. This study performed an integrated metabolomic profiling of blood serum from 25 colorectal cancer (CRC) cases previously classified (Stage I to IV) compared with 16 controls (disease-free, non-CRC patients), using high-performance liquid chromatography and mass spectrometry (UPLC-QTOF-ESI<sup>+</sup> MS). More than 400 metabolites were separated and identified, then all data were processed by the advanced Metaboanalyst 5.0 online software, using multi- and univariate analysis, including specificity/sensitivity relationships (area under the curve (AUC) values), enrichment and pathway analysis, identifying the specific pathways affected by cancer progression in the different stages. Several sub-classes of lipids including phosphatidylglycerols (phosphatidylcholines (PCs), phosphatidylethanolamines (PEs) and PAs), fatty acids and sterol esters as well as ceramides confirmed the “lipogenic phenotype” specific to CRC development, namely the upregulated lipogenesis associated with tumor progression. Both multivariate and univariate bioinformatics confirmed the relevance of some putative lipid biomarkers to be responsible for the altered metabolic pathways in colorectal cancer. |
| first_indexed | 2024-03-10T13:19:50Z |
| format | Article |
| id | doaj.art-f0892e169f074c0297c0ba6a69cded54 |
| institution | Directory Open Access Journal |
| issn | 2218-273X |
| language | English |
| last_indexed | 2024-03-10T13:19:50Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biomolecules |
| spelling | doaj.art-f0892e169f074c0297c0ba6a69cded542023-11-21T10:08:00ZengMDPI AGBiomolecules2218-273X2021-03-0111341710.3390/biom11030417Lipidomic Signatures for Colorectal Cancer Diagnosis and Progression Using UPLC-QTOF-ESI<sup>+</sup>MSClaudiu Răchieriu0Dan Tudor Eniu1Emil Moiş2Florin Graur3Carmen Socaciu4Mihai Adrian Socaciu5Nadim Al Hajjar6Surgery Department, County Hospital Alba, 510118 Alba Iulia, RomaniaOncology Department, Iuliu Hațieganu University of Medicine and Pharmacy, 400015 Cluj-Napoca, RomaniaIuliu Hatieganu University of Medicine and Pharmacy, Regional Institute of Gastroenterology and Hepatology “Octavian Fodor”, 400015 Cluj-Napoca, RomaniaIuliu Hatieganu University of Medicine and Pharmacy, Regional Institute of Gastroenterology and Hepatology “Octavian Fodor”, 400015 Cluj-Napoca, RomaniaUniversity of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, RomaniaIuliu Hatieganu University of Medicine and Pharmacy, Regional Institute of Gastroenterology and Hepatology “Octavian Fodor”, 400015 Cluj-Napoca, RomaniaIuliu Hatieganu University of Medicine and Pharmacy, Regional Institute of Gastroenterology and Hepatology “Octavian Fodor”, 400015 Cluj-Napoca, RomaniaMetabolomics coupled with bioinformatics may identify relevant biomolecules such as putative biomarkers of specific metabolic pathways related to colorectal diagnosis, classification and prognosis. This study performed an integrated metabolomic profiling of blood serum from 25 colorectal cancer (CRC) cases previously classified (Stage I to IV) compared with 16 controls (disease-free, non-CRC patients), using high-performance liquid chromatography and mass spectrometry (UPLC-QTOF-ESI<sup>+</sup> MS). More than 400 metabolites were separated and identified, then all data were processed by the advanced Metaboanalyst 5.0 online software, using multi- and univariate analysis, including specificity/sensitivity relationships (area under the curve (AUC) values), enrichment and pathway analysis, identifying the specific pathways affected by cancer progression in the different stages. Several sub-classes of lipids including phosphatidylglycerols (phosphatidylcholines (PCs), phosphatidylethanolamines (PEs) and PAs), fatty acids and sterol esters as well as ceramides confirmed the “lipogenic phenotype” specific to CRC development, namely the upregulated lipogenesis associated with tumor progression. Both multivariate and univariate bioinformatics confirmed the relevance of some putative lipid biomarkers to be responsible for the altered metabolic pathways in colorectal cancer.https://www.mdpi.com/2218-273X/11/3/417metabolomicsbiomoleculesputative biomarkerscolorectal cancerhigh-performance liquid chromatographymass spectrometry |
| spellingShingle | Claudiu Răchieriu Dan Tudor Eniu Emil Moiş Florin Graur Carmen Socaciu Mihai Adrian Socaciu Nadim Al Hajjar Lipidomic Signatures for Colorectal Cancer Diagnosis and Progression Using UPLC-QTOF-ESI<sup>+</sup>MS Biomolecules metabolomics biomolecules putative biomarkers colorectal cancer high-performance liquid chromatography mass spectrometry |
| title | Lipidomic Signatures for Colorectal Cancer Diagnosis and Progression Using UPLC-QTOF-ESI<sup>+</sup>MS |
| title_full | Lipidomic Signatures for Colorectal Cancer Diagnosis and Progression Using UPLC-QTOF-ESI<sup>+</sup>MS |
| title_fullStr | Lipidomic Signatures for Colorectal Cancer Diagnosis and Progression Using UPLC-QTOF-ESI<sup>+</sup>MS |
| title_full_unstemmed | Lipidomic Signatures for Colorectal Cancer Diagnosis and Progression Using UPLC-QTOF-ESI<sup>+</sup>MS |
| title_short | Lipidomic Signatures for Colorectal Cancer Diagnosis and Progression Using UPLC-QTOF-ESI<sup>+</sup>MS |
| title_sort | lipidomic signatures for colorectal cancer diagnosis and progression using uplc qtof esi sup sup ms |
| topic | metabolomics biomolecules putative biomarkers colorectal cancer high-performance liquid chromatography mass spectrometry |
| url | https://www.mdpi.com/2218-273X/11/3/417 |
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