ArticleMetabolomics : Official journal of the Metabolomic Society2018
Targeted metabolomic profiling of low and high grade serous epithelial ovarian cancer tissues: a pilot study.
Article in Metabolomics : Official journal of the Metabolomic Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 30 citations in OpenAlex.
- Multiomics analyses of human colorectal cancer reveal changes in mitochondrial metabolism associated with chemotherapy resistance.Frontiers in oncology · 2025Article
- Metabolomic Analysis of Histological Composition Variability of High-Grade Serous Ovarian Cancer UsingInternational journal of molecular sciences · 2024Article
- Triterpenoid ursolic acid regulates the environmental carcinogen benzo[a]pyrene-driven epigenetic and metabolic alterations in SKH-1 hairless mice for skin cancer interception.Carcinogenesis · 2024Article
- The longitudinal biochemical profiling of TBI in a drop weight model of TBI.Scientific reports · 2023Article
- Urine metabolomics for assessing fertility-sparing treatment efficacy in endometrial cancer: a non-invasive approach using ultra-performance liquid chromatography mass spectrometry.BMC women's health · 2023Article
- Peripheral Blood Serum NMR Metabolomics Is a Powerful Tool to Discriminate Benign and Malignant Ovarian Tumors.Metabolites · 2023Article
- Evaluation of BAYESIL for automated annotation ofMetabolomics : Official journal of the Metabolomic Society · 2023Article
- Metabolic rewiring in MYC-driven medulloblastoma by BET-bromodomain inhibition.Scientific reports · 2023Article
- Targeted Microchip Capillary Electrophoresis-Orbitrap Mass Spectrometry Metabolomics to Monitor Ovarian Cancer Progression.Metabolites · 2022Article
- Complex metabolic interactions between ovary, plasma, urine, and hair in ovarian cancer.Frontiers in oncology · 2022Article
- Tumour fatty acid metabolism in the context of therapy resistance and obesity.Nature reviews. Cancer · 2021Review
- The Role of Omics Approaches to Characterize Molecular Mechanisms of Rare Ovarian Cancers: Recent Advances and Future Perspectives.Biomedicines · 2021Review
- Evaluating Targeted Therapies in Ovarian Cancer Metabolism: Novel Role for PCSK9 and Second Generation mTOR Inhibitors.Cancers · 2021Article
- The diversity and breadth of cancer cell fatty acid metabolism.Cancer & metabolism · 2021Review
- Convergence of Plasma Metabolomics and Proteomics Analysis to Discover Signatures of High-Grade Serous Ovarian Cancer.Cancers · 2020Article
- Emerging Role of Metabolomics in Ovarian Cancer Diagnosis.Metabolites · 2020Review
- Novel Approaches in Ovarian Cancer Research against Heterogeneity, Late Diagnosis, Drug Resistance, and Transcoelomic Metastases.International journal of molecular sciences · 2019Review
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionEpithelial ovarian cancer (EOC) remains the leading cause of death from gynecologic malignancies and has an alarming global fatality rate. Besides the differences in underlying pathogenesis, distinguishing between high grade (HG) and low grade (LG) EOC is imperative for the prediction of disease progression and responsiveness to chemotherapy.
objectivesThe aim of this study was to investigate, the tissue metabolome associated with HG and LG serous epithelial ovarian cancer.
methodsA combination of one dimensional proton nuclear magnetic resonance (1D H NMR) spectroscopy and targeted mass spectrometry (MS) was employed to profile the tissue metabolome of HG, LG serous EOCs, and controls.
resultsUsing partial least squares-discriminant analysis, we observed significant separation between all groups (p < 0.05) following cross validation. We identified which metabolites were significantly perturbed in each EOC grade as compared with controls and report the biochemical pathways which were perturbed due to the disease. Among these metabolic pathways, ascorbate and aldarate metabolism was identified, for the first time, as being significantly altered in both LG and HG serous cancers. Further, we have identified potential biomarkers of EOC and generated predictive algorithms with AUC (CI) = 0.940 and 0.929 for HG and LG, respectively.
conclusionThese previously unreported biochemical changes provide a framework for future metabolomic studies for the development of EOC biomarkers. Finally, pharmacologic targeting of the key metabolic pathways identified herein could lead to novel and effective treatments of EOC.
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