Gas chromatography-mass spectrometry untargeted profiling of non-Hodgkin's lymphoma urinary metabolite markers

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Bueno Duarte, Gustavo Henrique ; Alves de Piloto Fernandes, Anna Maria ; Rosini Silva, Alex Aparecido ; Zamora-Obando, Hans R. ; Amaral, Alan Goncalves ; Mesquita, Alessandra de Sousa ; Schmidt-Filho, Jayr ; Cordeiro de Lima, Vladmir C. ; Costa, Felipe D'Almeida ; Andrade, Victor Piana ; Porcari, Andreia M. ; Eberlin, Marcos Nogueira ; Colnaghi Simionato, Ana Valeria

• Tipo de documento: Artigo Científico
• Fonte: ANALYTICAL AND BIOANALYTICAL CHEMISTRY; v. 412, n. 27, p. 12-pg., 2020-09-08.

Resumo

Non-Hodgkin's lymphoma (NHL) is a cancer of the lymphatic system where the lymphoid and hematopoietic tissues are infiltrated by malignant neoplasms of B, T, and natural killer lymphocytes. Effective and less invasive methods for NHL screening are urgently needed. Herein, we report an untargeted gas chromatography-mass spectrometry (GC-MS) method to investigate metabolic changes in non-volatile derivatized compounds from urine samples of NHL patients (N = 15) and compare them to healthy controls (N = 34). Uni- and multivariate data analysis showed 18 endogenous metabolites, including amino acids and their metabolites, sugars, small organic acids, and vitamins, as statistically significant for group differentiation. A receiver operating characteristic curve (ROC) generated from a support vector machine (SVM) algorithm-based model achieved 0.998 of predictive accuracy, displaying the potential and relevance of GC-MS-detected urinary non-volatile compounds for predictive purposes. Furthermore, a specific panel of key metabolites was also evaluated, showing similar results. All in all, our results indicate that this robust GC-MS method is an effective screening tool for NHL diagnosis and it is able to highlight different pathways of the disease. (AU)

• Processo FAPESP: 16/07014-5 - Determinação do perfil metabolômico de linfoma não Hodgkin para identificação de biomarcadores tumorais
• Beneficiário: Ana Valéria Colnaghi Simionato
• Modalidade de apoio: Auxílio à Pesquisa - Regular