ArticleOncotarget2016
Metabonomic analysis of ovarian tumour cyst fluid by proton nuclear magnetic resonance spectroscopy.
Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Ovarian Cyst Fluid as a Resource for Diagnostic and Prognostic Biomarker Discovery in Ovarian Lesions.Cancers · 2026Review
- Progesterone induces steroidome and lipidome remodeling in a BRCA-resembling mouse model of high-grade serous ovarian cancer.Translational oncology · 2026Article
- Peripheral Blood Serum NMR Metabolomics Is a Powerful Tool to Discriminate Benign and Malignant Ovarian Tumors.Metabolites · 2023Article
- Article
- The role of the microbiome in ovarian cancer: mechanistic insights into oncobiosis and to bacterial metabolite signaling.Molecular medicine (Cambridge, Mass.) · 2021Review
- ADNEX Model-Based Diagnosis of Ovarian Cancer Using MRI Images.Contrast media & molecular imaging · 2021Article
- Emerging Role of Metabolomics in Ovarian Cancer Diagnosis.Metabolites · 2020Review
- A novel hippocampus metabolite signature in diabetes mellitus rat model of diabetic encephalopathy.Metabolic brain disease · 2020Article
- Article
- Blood Metabolites Associate with Prognosis in Endometrial Cancer.Metabolites · 2019Article
- Plasma metabonomics investigation reveals involvement of fatty acid oxidation in hematotoxicity in Chinese benzene-exposed workers with low white blood cell count.Environmental science and pollution research international · 2018Article
- Profiling of Serum Metabolites Using MALDI-TOF and Triple-TOF Mass Spectrometry to Develop a Screen for Ovarian Cancer.Cancer research and treatment · 2018Article
- Recent Advances in NMR-Based Metabolomics.Analytical chemistry · 2017Review
- A characteristic biosignature for discrimination of gastric cancer from healthy population by high throughput GC-MS analysis.Oncotarget · 2016Article
- Metabolomics of biomarker discovery in ovarian cancer: a systematic review of the current literature.Metabolomics : Official journal of the Metabolomic Society · 2016Article
- The Potential for Enhanced Ovarian Cancer Diagnostics Through Optimized Derivative Magnetic Resonance Spectroscopy.Technology in cancer research & treatmentArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The majority of ovarian tumours are of the epithelial type, which can be sub classified as benign, borderline or malignant. Epithelial tumours usually have cystic spaces filled with cyst fluid, the metabolic profile of which reflects the metabolic activity of the tumour cells, due to their close proximity. The approach of metabonomics using 1H-NMR spectroscopy was employed to characterize the metabolic profiles of ovarian cyst fluid samples (n = 23) from benign, borderline and malignant ovarian tumours in order to shed more light into ovarian tumour and cancer development. The analysis revealed that citrate was elevated in benign versus malignant tumours, while the amino acid lysine was elevated in malignant versus non-malignant tumours, both at a 5% significance level. Choline and lactate also had progressively increasing levels from benign to borderline to malignant samples. Finally, hypoxanthine was detected exclusively in a sub-cohort of the malignant tumours. This metabonomic study demonstrates that ovarian cyst fluid samples have potential to be used to distinguish between the different types of ovarian epithelial tumours. Furthermore, the respective metabolic profiles contain mechanistic information which could help identify biomarkers and therapeutic targets for ovarian tumours.
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