Literature DB >> 30476914

Identification of Potential Biomarkers and Metabolic Profiling of Serum in Ovarian Cancer Patients Using UPLC/Q-TOF MS.

Wanchao Yang1, Tian Mu2, Jing Jiang3, Qintong Sun2, Xuejia Hou2, Yu Sun4, Lei Zhong4, Cheng Wang5, Changhao Sun6.   

Abstract

BACKGROUND/AIMS: Ovarian cancer (OC) is a malignant neoplasm of the female reproductive system with a high mortality rate. Identifying useful biomarkers and clarifying the molecular pathogenesis of OC are critical for early diagnosis and treatment. The aim of the study was to identify candidate biomarkers and explore metabolic changes of OC.
METHODS: A two-stage design was used in our study, with a discovery cohort of OC cases (n = 30) and controls (n = 30) and an independent cohort of cases (n = 17) and controls (n = 18) for validation. The serum metabolic profiling was investigated by ultra-performance liquid chromatography and quadrupole time-of-fight mass spectrometry with positive electrospray ionization.
RESULTS: A total of 18 metabolites closely related to OC were identified in the discovery stage, of which 12 were confirmed in the validation cohort. Metabolic pathways in OC related to these biomarkers included fatty acid β-oxidation, phospholipid metabolism, and bile acid metabolism, which are closely related to the proliferation, invasion, and metastasis of cancer cells. Multiple logistic regression analysis of these metabolites showed that 2-piperidinone and 1-heptadecanoylglycerophosphoethanolamine were potential biomarkers of OC, with high sensitivity (96.7%), specificity (66.7%), and area under the receiver operating characteristic curve value (0.894).
CONCLUSION: These findings provide insight into the pathogenesis pathogenesis of OC and may be useful for clinical diagnosis and treatment.
© 2018 The Author(s). Published by S. Karger AG, Basel.

Entities:  

Keywords:  Biomarkers; Metabolic profiling; Metabolomics; Ovarian cancer

Mesh:

Substances:

Year:  2018        PMID: 30476914     DOI: 10.1159/000495492

Source DB:  PubMed          Journal:  Cell Physiol Biochem        ISSN: 1015-8987


  10 in total

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Review 2.  Metabolomics biotechnology, applications, and future trends: a systematic review.

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9.  Evaluation of Gas Explosion Injury Based on Analysis of Rat Serum Profile by Ultra-Performance Liquid Chromatography/Mass Spectrometry-Based Metabonomics Techniques.

Authors:  Xinwen Dong; Weidong Wu; Sanqiao Yao; Jia Cao; Ling He; Houcheng Ren; Wenjie Ren
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10.  Relative Ratios Enhance the Diagnostic Power of Phospholipids in Distinguishing Benign and Cancerous Ovarian Masses.

Authors:  Tsukasa Yagi; Cyrus E Kuschner; Muhammad Shoaib; Rishabh C Choudhary; Lance B Becker; Annette T Lee; Junhwan Kim
Journal:  Cancers (Basel)       Date:  2019-12-26       Impact factor: 6.639

  10 in total

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