Exploring Serum NMR-Based Metabolomic Fingerprint of Colorectal Cancer Patients: Effects of Surgery and Possible Associations with Cancer Relapse
| Autor: | Matteo Benelli, Elena Mori, Laura Biganzoli, Dario Romagnoli, Stefano Cantafio, Maddalena Baraghini, Francesca Del Monte, Samantha Di Donato, Luca Malorni, Ilenia Migliaccio, Leonardo Tenori, V. Calamai, Alessia Vignoli, Chiara Biagioni, Alessia Garzi, Claudio Luchinat, A. Parnofiello |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Technology Colorectal cancer QH301-705.5 QC1-999 Cancer relapse colorectal cancer surgery Metabolomics Medicine General Materials Science In patient Stage (cooking) Biology (General) Instrumentation QD1-999 Fluid Flow and Transfer Processes Nuclear magnetic resonance Relapse Surgery relapse business.industry Process Chemistry and Technology Physics General Engineering Cancer Serum samples medicine.disease Engineering (General). Civil engineering (General) metabolomics Computer Science Applications nuclear magnetic resonance Chemistry Cohort TA1-2040 business |
| Zdroj: | Applied Sciences, Vol 11, Iss 11120, p 11120 (2021) Applied Sciences; Volume 11; Issue 23; Pages: 11120 |
| ISSN: | 2076-3417 |
| Popis: | Background: Colorectal cancer (CRC) is the fourth most commonly diagnosed and third most deadly cancer worldwide. Surgery is the main treatment option for early disease; however, a relevant proportion of CRC patients relapse. Here, variations among preoperative and postoperative serum metabolomic fingerprint of CRC patients were studied, and possible associations between metabolic variations and cancer relapse were explored. Methods: A total of 41 patients with stage I-III CRC, planned for radical resection, were enrolled. Serum samples, collected preoperatively (t0) and 4–6 weeks after surgery before the start of any treatment (t1), were analyzed via NMR spectroscopy. NMR data were analyzed using multivariate and univariate statistical approaches. Results: Serum metabolomic fingerprints show differential clustering between t0 and t1 (82–85% accuracy). Pyruvate, HDL-related parameters, acetone, and 3-hydroxybutyrate appear to be the major players in this discrimination. Eight out of the 41 CRC patients enrolled developed cancer relapse. Postoperative, relapsed patients show an increase of pyruvate and HDL-related parameters, and a decrease of Apo-A1 Apo-B100 ratio and VLDL-related parameters. Conclusions: Surgery significantly alters the metabolomic fingerprint of CRC patients. Some metabolic changes seem to be associated with the development of cancer relapse. These data, if validated in a larger cohort, open new possibilities for risk stratification in patients with early-stage CRC. |
| Databáze: | OpenAIRE |
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