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http://hdl.handle.net/10609/132926
Title: | Estudio metabolómico mediante Resonancia Magnética Nuclear de biomarcadores en suero de pacientes con cáncer colorrectal |
Author: | Salmerón López, Ana del Mar |
Tutor: | Fernández de las Nieves, Ignacio Rahla de Abreu, Ana Cristina |
Others: | Maceira, Marc |
Abstract: | The use of metabolomics as a tool for detecting early colorectal cancer has developed great interest in the clinical field as a diagnostic alternative for invasive methods as colonoscopies. This dissertation contains (1) a bibliographic review where some of the main investigations about this topic applying Proton Nuclear Magnetic Resonance (1H NMR) as the main analytical technique were analyzed, and (2) the use of this platform combined with multivariate unsupervised and supervised methods towards obtaining and correlating potential biomarkers of 90 samples of human colorectal serum. In addition, changes in the metabolomic profile of a total of 12 and 16 discriminant metabolites were reported from an Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA) model and a Random Forest (RF) representation, respectively, possibly related to glycolysis, and the metabolism of pyruvate, alanine, aspartate and glutamate. It was concluded that NMR in combination with multivariate techniques is such a powerful technique for biomarkers prediction and identification on this disease. |
Keywords: | colorectal cancer metabolomics machine learning |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 8-Jun-2021 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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anamarslpzTFM0621memoria.pdf | Memoria del TFM | 3,46 MB | Adobe PDF | View/Open |
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