Literature DB >> 23857124

Exploratory investigation of plasma metabolomics in human lung adenocarcinoma.

Tao Wen1, Liang Gao, Zongmei Wen, Chunyan Wu, Chuen Seng Tan, Wei Zhong Toh, Choon Nam Ong.   

Abstract

Globally lung cancer is common among males and recently also noted with increasing incidences in females, especially adenocarcinoma. Further, most lung cancers are not easily detected until the late stage. Metabolic profiling of plasma low molecular weight metabolites may help unveil the complex pathophysiological changes during early lung adenocarcinoma development. Here we used a combination of gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-mass spectrometry (LC-MS) methods to investigate the metabolic signatures in the plasma of 31 stage I human lung adenocarcinoma patients and 28 healthy controls. The metabolic profiles were assayed using orthogonal projections to latent structures discriminant analysis (OPLS-DA), and were further analyzed to identify the associated marker metabolites. The OPLS-DA models derived from both GC-MS and LC-MS showed significant discriminations in metabolic profiles between cases and healthy controls. It was found that around 37 metabolites contributed to the differences. The alterations of these metabolites implied disturbances in amino acids, lipids, fatty acids and glutaminolysis metabolism in human lung adenocarcinoma, even after removal of influencing factors such as age, gender and smoking habits. Of particular interest, the sex hormone metabolic pathway involving the sulfate conjugate of testosterone, androsterone and pregnenolone was found to be disturbed considerably. All these metabolic perturbations occur at an early stage of lung adenocarcinoma and thus could act as biomarkers for its early diagnosis. These exploratory findings suggest that integration of two sensitive and complementary metabolomic approaches enables a comprehensive metabolite profiling for human lung adenocarcinoma, although a more extensive study is needed to confirm the findings.

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Year:  2013        PMID: 23857124     DOI: 10.1039/c3mb70138g

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  20 in total

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Journal:  Cancer Prev Res (Phila)       Date:  2015-10-28

2.  Metabolic signatures of four major histological types of lung cancer cells.

Authors:  Swee Ling Lim; Zhunan Jia; Yonghai Lu; Hui Zhang; Cheng Teng Ng; Boon Huat Bay; Han Ming Shen; Choon Nam Ong
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Review 3.  MicroRNA regulation and analytical methods in cancer cell metabolism.

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Journal:  Cell Mol Life Sci       Date:  2017-03-20       Impact factor: 9.261

4.  Overexpression and proliferation dependence of acyl-CoA thioesterase 11 and 13 in lung adenocarcinoma.

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Review 5.  Blood based biomarkers beyond genomics for lung cancer screening.

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6.  Identification of potential erythrocyte phospholipid fatty acid biomarkers of advanced lung adenocarcinoma, squamous cell lung carcinoma, and small cell lung cancer.

Authors:  Patricia Sánchez-Rodríguez; Marina C Rodríguez; Jesús Sánchez-Yagüe
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7.  Metabolomic markers of altered nucleotide metabolism in early stage adenocarcinoma.

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Journal:  Cancer Prev Res (Phila)       Date:  2015-02-05

8.  Evaluation of Lung Cancer Patient Response to First-Line Chemotherapy by Integration of Tumor Core Biopsy Metabolomics with Multiscale Modeling.

Authors:  Hunter A Miller; Donald M Miller; Victor H van Berkel; Hermann B Frieboes
Journal:  Ann Biomed Eng       Date:  2022-10-12       Impact factor: 4.219

Review 9.  Integrating omics technologies to study pulmonary physiology and pathology at the systems level.

Authors:  Ravi Ramesh Pathak; Vrushank Davé
Journal:  Cell Physiol Biochem       Date:  2014-04-28

10.  Metabolomic profiling for second primary lung cancer: A pilot case-control study.

Authors:  Jacqueline V Aredo; Natasha Purington; Li Su; Sophia J Luo; Nancy Diao; David C Christiani; Heather A Wakelee; Summer S Han
Journal:  Lung Cancer       Date:  2021-03-11       Impact factor: 5.705

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