NMR-based metabolomics in real-time monitoring of treatment induced toxicity and cachexia in head and neck cancer: a method for early detection of high risk patients
| Autor: | Maria Sokół, Andrzej Wygoda, Mateusz Ciszek, Łukasz Boguszewicz, A. Kotylak, J.J. Mrochem-Kwarciak, Krzysztof Składowski, Agnieszka Skorupa, A. Heyda, A. Bieleń |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Male
Oncology Cachexia Magnetic Resonance Spectroscopy Time Factors Endocrinology Diabetes and Metabolism medicine.medical_treatment Clinical Biochemistry 01 natural sciences Biochemistry Risk Factors Weight loss Cancer Aged 80 and over Principal Component Analysis 0303 health sciences Discriminant Analysis Middle Aged Head and Neck Neoplasms Carcinoma Squamous Cell Female Original Article medicine.symptom Adult MRS medicine.medical_specialty Young Adult 03 medical and health sciences Internal medicine Biomarkers Tumor medicine Metabolome Humans Metabolomics Chemotherapy Aged 030304 developmental biology Radiotherapy business.industry 010401 analytical chemistry Head and neck cancer medicine.disease Head and neck squamous-cell carcinoma NMR 0104 chemical sciences Radiation therapy business |
| Zdroj: | Metabolomics |
| ISSN: | 1573-3890 1573-3882 |
| DOI: | 10.1007/s11306-019-1576-4 |
| Popis: | Introduction Nutritional treatment in head and neck squamous cell carcinoma cancer (HNSCC) patients undergoing radio-/chemo-radiotherapy (RT/CHRT) is complex and requires a multidisciplinary approach. In this study the real-time dynamic changes in serum metabolome during RT/CHRT in HNSCC patients were monitored using NMR-based metabolomics. Objectives The main goal was to find the metabolic markers that could help prevent of acute radiation sequelae (ARS) escalation. Methods 170 HNSCC patients were treated radically with RT/CHRT. Blood samples were collected weekly, starting from the day before the treatment and stopping within the week after the RT/CHRT completion, resulting in a total number of 1328 samples. 1H NMR spectra were acquired on Bruker 400 MHz spectrometer at 310 K and analyzed using principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA). Additional statistical analyses were performed on the quantified metabolites. Results PCA has detected a group of distinct outliers corresponding to ketone bodies (3HB, Ace, AceAce). These outliers were found to identify the individuals at high risk of weight loss, mainly by the 3HB changes, which was confirmed by the patients’ medical data. In the OPLS-DA models a transition from the lowest to the highest weight loss is seen, defining the metabolic time trajectories for the patients from the studied groups during RT/CHRT. 3HB is a relatively sensitive marker that allows earlier identification of the patients at higher risk of > 10% weight loss. Conclusion Our findings indicate that metabolic alterations, characteristic for malnutrition or cachexia, can be detected already at the beginning of the treatment, making it possible to monitor the patients with a higher risk of weight loss. Electronic supplementary material The online version of this article (10.1007/s11306-019-1576-4) contains supplementary material, which is available to authorized users. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|