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Identifying metabolic alterations in newly diagnosed small cell lung cancer patients

BACKGROUND: Small cell lung cancer (SCLC) is a malignant disease with poor prognosis. At the time of diagnosis most patients are already in a metastatic stage. Current diagnosis is based on imaging, histopathology, and immunohistochemistry, but no blood-based biomarkers have yet proven to be clinica...

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Autores principales: Pedersen, Shona, Hansen, Joachim Bavnhøj, Maltesen, Raluca Georgiana, Szejniuk, Weronika Maria, Andreassen, Trygve, Falkmer, Ursula, Kristensen, Søren Risom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455369/
https://www.ncbi.nlm.nih.gov/pubmed/34585134
http://dx.doi.org/10.1016/j.metop.2021.100127
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author Pedersen, Shona
Hansen, Joachim Bavnhøj
Maltesen, Raluca Georgiana
Szejniuk, Weronika Maria
Andreassen, Trygve
Falkmer, Ursula
Kristensen, Søren Risom
author_facet Pedersen, Shona
Hansen, Joachim Bavnhøj
Maltesen, Raluca Georgiana
Szejniuk, Weronika Maria
Andreassen, Trygve
Falkmer, Ursula
Kristensen, Søren Risom
author_sort Pedersen, Shona
collection PubMed
description BACKGROUND: Small cell lung cancer (SCLC) is a malignant disease with poor prognosis. At the time of diagnosis most patients are already in a metastatic stage. Current diagnosis is based on imaging, histopathology, and immunohistochemistry, but no blood-based biomarkers have yet proven to be clinically successful for diagnosis and screening. The precise mechanisms of SCLC are not fully understood, however, several genetic mutations, protein and metabolic aberrations have been described. We aim at identifying metabolite alterations related to SCLC and to expand our knowledge relating to this aggressive cancer. METHODS: A total of 30 serum samples of patients with SCLC, collected at the time of diagnosis, and 25 samples of healthy controls were included in this study. The samples were analyzed with nuclear magnetic resonance spectroscopy. Multivariate, univariate and pathways analyses were performed. RESULTS: Several metabolites were identified to be altered in the pre-treatment serum samples of small-cell lung cancer patients compared to healthy individuals. Metabolites involved in tricarboxylic acid cycle (succinate: fold change (FC) = 2.4, p = 0.068), lipid metabolism (LDL triglyceride: FC = 1.3, p = 0.001; LDL-1 triglyceride: FC = 1.3, p = 0.012; LDL-2 triglyceride: FC = 1.4, p = 0.009; LDL-6 triglyceride: FC = 1.5, p < 0.001; LDL-4 cholesterol: FC = 0.5, p = 0.007; HDL-3 free cholesterol: FC = 0.7, p = 0.002; HDL-4 cholesterol FC = 0.8, p < 0.001; HDL-4 apolipoprotein-A1: FC = 0.8, p = 0.005; HDL-4 apolipoprotein-A2: FC ≥ 0.7, p ≤ 0.001), amino acids (glutamic acid: FC = 1.7, p < 0.001; glutamine: FC = 0.9, p = 0.007, leucine: FC = 0.8, p < 0.001; isoleucine: FC = 0.8, p = 0.016; valine: FC = 0.9, p = 0.032; lysine: FC = 0.8, p = 0.004; methionine: FC = 0.8, p < 0.001; tyrosine: FC = 0.7, p = 0.002; creatine: FC = 0.9, p = 0.030), and ketone body metabolism (3-hydroxybutyric acid FC = 2.5, p < 0.001; acetone FC = 1.6, p < 0.001), among other, were found deranged in SCLC. CONCLUSIONS: This study provides novel insight into the metabolic disturbances in pre-treatment SCLC patients, expanding our molecular understanding of this malignant disease.
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spelling pubmed-84553692021-09-27 Identifying metabolic alterations in newly diagnosed small cell lung cancer patients Pedersen, Shona Hansen, Joachim Bavnhøj Maltesen, Raluca Georgiana Szejniuk, Weronika Maria Andreassen, Trygve Falkmer, Ursula Kristensen, Søren Risom Metabol Open Articles from the Clinical Metabolomics Special Issue BACKGROUND: Small cell lung cancer (SCLC) is a malignant disease with poor prognosis. At the time of diagnosis most patients are already in a metastatic stage. Current diagnosis is based on imaging, histopathology, and immunohistochemistry, but no blood-based biomarkers have yet proven to be clinically successful for diagnosis and screening. The precise mechanisms of SCLC are not fully understood, however, several genetic mutations, protein and metabolic aberrations have been described. We aim at identifying metabolite alterations related to SCLC and to expand our knowledge relating to this aggressive cancer. METHODS: A total of 30 serum samples of patients with SCLC, collected at the time of diagnosis, and 25 samples of healthy controls were included in this study. The samples were analyzed with nuclear magnetic resonance spectroscopy. Multivariate, univariate and pathways analyses were performed. RESULTS: Several metabolites were identified to be altered in the pre-treatment serum samples of small-cell lung cancer patients compared to healthy individuals. Metabolites involved in tricarboxylic acid cycle (succinate: fold change (FC) = 2.4, p = 0.068), lipid metabolism (LDL triglyceride: FC = 1.3, p = 0.001; LDL-1 triglyceride: FC = 1.3, p = 0.012; LDL-2 triglyceride: FC = 1.4, p = 0.009; LDL-6 triglyceride: FC = 1.5, p < 0.001; LDL-4 cholesterol: FC = 0.5, p = 0.007; HDL-3 free cholesterol: FC = 0.7, p = 0.002; HDL-4 cholesterol FC = 0.8, p < 0.001; HDL-4 apolipoprotein-A1: FC = 0.8, p = 0.005; HDL-4 apolipoprotein-A2: FC ≥ 0.7, p ≤ 0.001), amino acids (glutamic acid: FC = 1.7, p < 0.001; glutamine: FC = 0.9, p = 0.007, leucine: FC = 0.8, p < 0.001; isoleucine: FC = 0.8, p = 0.016; valine: FC = 0.9, p = 0.032; lysine: FC = 0.8, p = 0.004; methionine: FC = 0.8, p < 0.001; tyrosine: FC = 0.7, p = 0.002; creatine: FC = 0.9, p = 0.030), and ketone body metabolism (3-hydroxybutyric acid FC = 2.5, p < 0.001; acetone FC = 1.6, p < 0.001), among other, were found deranged in SCLC. CONCLUSIONS: This study provides novel insight into the metabolic disturbances in pre-treatment SCLC patients, expanding our molecular understanding of this malignant disease. Elsevier 2021-09-16 /pmc/articles/PMC8455369/ /pubmed/34585134 http://dx.doi.org/10.1016/j.metop.2021.100127 Text en © 2021 Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Articles from the Clinical Metabolomics Special Issue
Pedersen, Shona
Hansen, Joachim Bavnhøj
Maltesen, Raluca Georgiana
Szejniuk, Weronika Maria
Andreassen, Trygve
Falkmer, Ursula
Kristensen, Søren Risom
Identifying metabolic alterations in newly diagnosed small cell lung cancer patients
title Identifying metabolic alterations in newly diagnosed small cell lung cancer patients
title_full Identifying metabolic alterations in newly diagnosed small cell lung cancer patients
title_fullStr Identifying metabolic alterations in newly diagnosed small cell lung cancer patients
title_full_unstemmed Identifying metabolic alterations in newly diagnosed small cell lung cancer patients
title_short Identifying metabolic alterations in newly diagnosed small cell lung cancer patients
title_sort identifying metabolic alterations in newly diagnosed small cell lung cancer patients
topic Articles from the Clinical Metabolomics Special Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455369/
https://www.ncbi.nlm.nih.gov/pubmed/34585134
http://dx.doi.org/10.1016/j.metop.2021.100127
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