Literature DB >> 28819352

Metabolomics of biomarker discovery in ovarian cancer: a systematic review of the current literature.

Onur Turkoglu1, Amna Zeb1, Stewart Graham1, Thomas Szyperski2, J Brian Szender3, Kunle Odunsi3,4, Ray Bahado-Singh1.   

Abstract

INTRODUCTION: Metabolomics is the emerging member of "omics" sciences advancing the understanding, diagnosis and treatment of many cancers, including ovarian cancer (OC).
OBJECTIVES: To systematically identify the metabolomic abnormalities in OC detection, and the dominant metabolic pathways associated with the observed alterations.
METHODS: An electronic literature search was performed, up to and including January 15th 2016, for studies evaluating the metabolomic profile of patients with OC compared to controls. QUADOMICS tool was used to assess the quality of the twenty-three studies included in this systematic review.
RESULTS: Biological samples utilized for metabolomic analysis include: serum/plasma (n = 13), urine (n = 4), cyst fluid (n = 3), tissue (n = 2) and ascitic fluid (n = 1). Metabolites related to cellular respiration, carbohydrate, lipid, protein and nucleotide metabolism were significantly altered in OC. Increased levels of tricarboxylic acid cycle intermediates and altered metabolites of the glycolytic pathway pointed to perturbations in cellular respiration. Alterations in lipid metabolism included enhanced fatty acid oxidation, abnormal levels of glycerolipids, sphingolipids and free fatty acids with common elevations of palmitate, oleate, and myristate. Increased levels of glutamine, glycine, cysteine and threonine were commonly reported while enhanced degradations of tryptophan, histidine and phenylalanine were found. N-acetylaspartate, a brain amino acid, was found elevated in primary and metastatic OC tissue and ovarian cyst fluid. Further, elevated levels of ketone bodies including 3-hydroxybutyrate were commonly reported. Increased levels of nucleotide metabolites and tocopherols were consistent through out the studies.
CONCLUSION: Metabolomics presents significant new opportunities for diagnostic biomarker development, elucidating previously unknown mechanisms of OC pathogenesis.

Entities:  

Keywords:  Biomarker; Metabolites; Metabolomics; Ovarian cancer; Systematic review

Year:  2016        PMID: 28819352      PMCID: PMC5557039          DOI: 10.1007/s11306-016-0990-0

Source DB:  PubMed          Journal:  Metabolomics        ISSN: 1573-3882            Impact factor:   4.290


  74 in total

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Journal:  Science       Date:  1956-02-24       Impact factor: 47.728

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Review 4.  Histamine, part of the metabolome.

Authors:  A Falus
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5.  Serum 27-nor-5β-cholestane-3,7,12,24,25 pentol glucuronide discovered by metabolomics as potential diagnostic biomarker for epithelium ovarian cancer.

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7.  A serum nuclear magnetic resonance-based metabolomic signature of advanced metastatic human breast cancer.

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Review 8.  How cancer metabolism is tuned for proliferation and vulnerable to disruption.

Authors:  Almut Schulze; Adrian L Harris
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10.  Risk Algorithm Using Serial Biomarker Measurements Doubles the Number of Screen-Detected Cancers Compared With a Single-Threshold Rule in the United Kingdom Collaborative Trial of Ovarian Cancer Screening.

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Journal:  J Clin Oncol       Date:  2015-05-11       Impact factor: 44.544

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  26 in total

1.  Prospective serum metabolomic profiling of lethal prostate cancer.

Authors:  Jiaqi Huang; Alison M Mondul; Stephanie J Weinstein; Andriy Derkach; Steven C Moore; Joshua N Sampson; Demetrius Albanes
Journal:  Int J Cancer       Date:  2019-03-24       Impact factor: 7.396

2.  Investigation of altered urinary metabolomic profiles of invasive ductal carcinoma of breast using targeted and untargeted approaches.

Authors:  Tushar H More; Ravindra Taware; Khushman Taunk; Venkatesh Chanukuppa; Venkateshwarlu Naik; Anupama Mane; Srikanth Rapole
Journal:  Metabolomics       Date:  2018-08-10       Impact factor: 4.290

3.  Targeted metabolomic profiling of low and high grade serous epithelial ovarian cancer tissues: a pilot study.

Authors:  Gunjal Garg; Ali Yilmaz; Praveen Kumar; Onur Turkoglu; David G Mutch; Matthew A Powell; Barry Rosen; Ray O Bahado-Singh; Stewart F Graham
Journal:  Metabolomics       Date:  2018-11-24       Impact factor: 4.290

4.  Metabolomic prediction of endometrial cancer.

Authors:  Ray O Bahado-Singh; Amit Lugade; Jayson Field; Zaid Al-Wahab; BeomSoo Han; Rupasri Mandal; Trent C Bjorndahl; Onur Turkoglu; Stewart F Graham; David Wishart; Kunle Odunsi
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6.  Metabolomic analysis of endometrial cancer by high-resolution magic angle spinning NMR spectroscopy.

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Review 7.  Current and Emerging Methods for Ovarian Cancer Screening and Diagnostics: A Comprehensive Review.

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Review 10.  Models for measuring metabolic chemical changes in the metastasis of high grade serous ovarian cancer: fallopian tube, ovary, and omentum.

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