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TITLE:
Stratification of cancer and diabetes based on circulating levels of formate and glucose - imarina:4943960

URV's Author/s:Camps Andreu, Jorge / FERNANDEZ ARROYO, SALVADOR / Joven Maried, Jorge
Author, as appears in the article.:Pietzke, Matthias; Fernandez Arroyo, Salvador; Sumpton, David; Mackay, Gillian M; Martin-Castillo, Begona; Camps, Jordi; Joven, Jorge; Menendez, Javier A; Vazquez, Alexei; Pernas, Sonia; Dorca, Joan; Alvarez-Lopez, Isabel; Martinez, Susana; Manuel Perez-Garcia, Jose; Batista Lopez, Norberto; Rodriguez-Sanchez, Cesar A; Amillano, Kepa; Dominguez Fernandez, Severina; Luque-Cabal, Maria; Morilla, Idoia; Vinas, Gemma; Cortes, Javier
Author's mail:jorge.camps@urv.cat
jorge.joven@urv.cat
Author identifier:0000-0002-3165-3640
0000-0003-2749-4541
Journal publication year:2019
Publication Type:Journal Publications
ISSN:20493002
APA:Pietzke, Matthias; Fernandez Arroyo, Salvador; Sumpton, David; Mackay, Gillian M; Martin-Castillo, Begona; Camps, Jordi; Joven, Jorge; Menendez, Javie (2019). Stratification of cancer and diabetes based on circulating levels of formate and glucose. Cancer Metab, 7(3), 3-. DOI: 10.1186/s40170-019-0195-x
Paper original source:Cancer Metab. 7 (3): 3-
Abstract:BackgroundSerum and urine metabolites have been investigated for their use as cancer biomarkers. The specificity of candidate metabolites can be limited by the impact of other disorders on metabolite levels. In particular, the increasing incidence of obesity could become a significant confounding factor.MethodsHere we developed a multinomial classifier for the stratification of cancer, obesity and healthy phenotypes based on circulating glucose and formate levels. We quantified the classifier performance from the retrospective analysis of samples from breast cancer, lung cancer, obese individuals and healthy controls.ResultsWe discovered that circulating formate levels are significantly lower in breast and lung cancer patients than in healthy controls. However, the performance of a cancer classifier based on formate levels alone is limited because obese patients also have low serum formate levels. By introducing a multinomial classifier based on circulating glucose and formate levels, we were able to improve the classifier performance, reaching a true positive rate of 79% with a false positive rate of 8%.ConclusionsCirculating formate is reduced in HER2+ breast cancer, non-small cell lung cancer and highly obese patients relative to healthy controls. Further studies are required to determine the relevance of these observations in other cancer types and diseases.
Article's DOI:10.1186/s40170-019-0195-x
Link to the original source:https://cancerandmetabolism.biomedcentral.com/articles/10.1186/s40170-019-0195-x
Paper version:info:eu-repo/semantics/publishedVersion
licence for use:https://creativecommons.org/licenses/by/3.0/es/
Department:Medicina i Cirurgia
Licence document URL:https://repositori.urv.cat/ca/proteccio-de-dades/
Thematic Areas:Oncology
Endocrinology, diabetes and metabolism
Ciencias sociales
Cell biology
Cancer research
Keywords:Serum metabolomics
Obesity
Hepatocellular-carcinoma
Formate
Cancer
Biomarker
serum metabolomics
serum formate
obesity
nmr
metabolomics analysis
lung-cancer
identify
formate
chemotherapy
cancer
biomarker
Entity:Universitat Rovira i Virgili
Record's date:2025-02-18
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