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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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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. |
format | Online Article Text |
id | pubmed-8455369 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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