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Article

Serum Metabolomics Profiling Reveals Metabolic Alterations Prior to a Diagnosis with Non-Small Cell Lung Cancer among Chinese Community Residents: A Prospective Nested Case-Control Study

1
Key Laboratory of Public Health Safety of Ministry of Education, Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
2
Songjiang District Center for Disease Control and Prevention, Shanghai 201600, China
3
Department of Epidemiology and Health Statistics, School of Public Health, Dali University, Dali 671000, China
4
Department of Biostatistics, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai 200032, China
*
Authors to whom correspondence should be addressed.
Metabolites 2022, 12(10), 906; https://doi.org/10.3390/metabo12100906
Submission received: 18 August 2022 / Revised: 18 September 2022 / Accepted: 22 September 2022 / Published: 27 September 2022
(This article belongs to the Topic Metabolism and Health)

Abstract

The present high mortality of lung cancer in China stems mainly from the lack of feasible, non-invasive and early disease detection biomarkers. Serum metabolomics profiling to reveal metabolic alterations could expedite the disease detection process and suggest those patients who are harboring disease. Using a nested case-control design, we applied ultra-high-performance liquid chromatography/mass spectrometry (LC-MS)-based serum metabolomics to reveal the metabolomic alterations and to indicate the presence of non-small cell lung cancer (NSCLC) using serum samples collected prior to disease diagnoses. The studied serum samples were collected from 41 patients before a NSCLC diagnosis (within 3.0 y) and 38 matched the cancer-free controls from the prospective Shanghai Suburban Adult Cohort. The NSCLC patients markedly presented cellular metabolism alterations in serum samples collected prior to their disease diagnoses compared with the cancer-free controls. In total, we identified 18 significantly expressed metabolites whose relative abundance showed either an upward or a downward trend, with most of them being lipid and lipid-like molecules, organic acids, and nitrogen compounds. Choline metabolism in cancer, sphingolipid, and glycerophospholipid metabolism emerged as the significant metabolic disturbance of NSCLC. The metabolites involved in these biological processes may be the distinctive features associated with NSCLC prior to a diagnosis.
Keywords: non-small cell lung cancer (NSCLC); metabolomics; cancer cells metabolism; nested case-control study non-small cell lung cancer (NSCLC); metabolomics; cancer cells metabolism; nested case-control study
Graphical Abstract

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MDPI and ACS Style

Xiang, Y.; Zhao, Q.; Wu, Y.; Liu, X.; Zhu, J.; Yu, Y.; Su, X.; Xu, K.; Jiang, Y.; Zhao, G. Serum Metabolomics Profiling Reveals Metabolic Alterations Prior to a Diagnosis with Non-Small Cell Lung Cancer among Chinese Community Residents: A Prospective Nested Case-Control Study. Metabolites 2022, 12, 906. https://doi.org/10.3390/metabo12100906

AMA Style

Xiang Y, Zhao Q, Wu Y, Liu X, Zhu J, Yu Y, Su X, Xu K, Jiang Y, Zhao G. Serum Metabolomics Profiling Reveals Metabolic Alterations Prior to a Diagnosis with Non-Small Cell Lung Cancer among Chinese Community Residents: A Prospective Nested Case-Control Study. Metabolites. 2022; 12(10):906. https://doi.org/10.3390/metabo12100906

Chicago/Turabian Style

Xiang, Yu, Qi Zhao, Yilin Wu, Xing Liu, Junjie Zhu, Yuting Yu, Xuyan Su, Kelin Xu, Yonggen Jiang, and Genming Zhao. 2022. "Serum Metabolomics Profiling Reveals Metabolic Alterations Prior to a Diagnosis with Non-Small Cell Lung Cancer among Chinese Community Residents: A Prospective Nested Case-Control Study" Metabolites 12, no. 10: 906. https://doi.org/10.3390/metabo12100906

APA Style

Xiang, Y., Zhao, Q., Wu, Y., Liu, X., Zhu, J., Yu, Y., Su, X., Xu, K., Jiang, Y., & Zhao, G. (2022). Serum Metabolomics Profiling Reveals Metabolic Alterations Prior to a Diagnosis with Non-Small Cell Lung Cancer among Chinese Community Residents: A Prospective Nested Case-Control Study. Metabolites, 12(10), 906. https://doi.org/10.3390/metabo12100906

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