ArticleCancers2020
Convergence of Plasma Metabolomics and Proteomics Analysis to Discover Signatures of High-Grade Serous Ovarian Cancer.
Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed, 53 citations in OpenAlex.
- Tandem mass tag-based serum proteomic profiling revealed diabetic foot ulcer pathogenesis and potential therapeutic targets.Bioengineered · 2022Trial
- Biomarkers in Disease Diagnosis and Monitoring: Insights into Clinical Applications and Mass Spectrometry-based Detection.Applied biochemistry and biotechnology · 2026Review
- Ovarian Tumor Biomarkers: Correlation Between Tumor Type and Marker Expression, and Their Role in Guiding Therapeutic Strategies.International journal of molecular sciences · 2025Review
- Peripheral blood proteome biomarkers distinguish immunosuppressive features of cancer progression.Molecular oncology · 2025Article
- Sequential Plasma Metabolome and Proteome Analyses to Develop a Novel Monitoring Strategy for Patients with Epithelial Ovarian Cancer: A Pilot Study.International journal of molecular sciences · 2025Article
- Improvement of Physiological Metabolism and Flavor Quality ofFoods (Basel, Switzerland) · 2025Article
- Early Diagnosis of Ovarian Cancer: A Comprehensive Review of the Advances, Challenges, and Future Directions.Diagnostics (Basel, Switzerland) · 2025Review
- Clinical utility of various liquid biopsy samples for the early detection of ovarian cancer: a comprehensive review.Frontiers in oncology · 2025Review
- Extracellular C1qbp inhibits myogenesis by suppressing NFATc1.Scientific reports · 2024Article
- Machine Learning-Enhanced Extraction of Biomarkers for High-Grade Serous Ovarian Cancer from Proteomics Data.Scientific data · 2024Article
- Serum Lipidome Profiling Reveals a Distinct Signature of Ovarian Cancer in Korean Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024Article
- Biomarkers in Ovarian Cancer: Towards Personalized Medicine.Proteomes · 2024Review
- Proteomic and metabolomic profiling of plasma uncovers immune responses in patients with Long COVID-19.Frontiers in microbiology · 2024Article
- The amino acid metabolomics signature of differentiating myocardial infarction from strangulation death in mice models.Scientific reports · 2023Article
- Machine Learning Reveals Lipidome Remodeling Dynamics in a Mouse Model of Ovarian Cancer.Journal of proteome research · 2023Article
- Machine Learning Reveals Lipidome Remodeling Dynamics in a Mouse Model of Ovarian Cancer.bioRxiv : the preprint server for biology · 2023Article
- Screening of potential chemical marker with interspecific differences inFrontiers in plant science · 2023Article
- Widely targeted metabolomics analysis reveals the formation of nonvolatile flavor qualities during oolong tea manufacturing: a case study of Jinguanyin.Frontiers in nutrition · 2023Article
- Urinary Exosomal Cystatin C and Lipopolysaccharide Binding Protein as Biomarkers for Antibody-Mediated Rejection after Kidney Transplantation.Biomedicines · 2022Article
- Antibody-mediated blockade for galectin-3 binding protein in tumor secretome abrogates PDAC metastasis.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
The 5-year survival rate in the early and late stages of ovarian cancer differs by 63%. In addition, a liquid biopsy is necessary because there are no symptoms in the early stage and tissue collection is difficult without using invasive methods. Therefore, there is a need for biomarkers to achieve this goal. In this study, we found blood-based metabolite or protein biomarker candidates for the diagnosis of ovarian cancer in the 20 clinical samples (10 ovarian cancer patients and 10 healthy control subjects). Plasma metabolites and proteins were measured and quantified using mass spectrometry in ovarian cancer patients and control groups. We identified the differential abundant biomolecules (34 metabolites and 197 proteins) and statistically integrated molecules of different dimensions to better understand ovarian cancer signal transduction and to identify novel biological mechanisms. In addition, the biomarker reliability was verified through comparison with existing research results. Integrated analysis of metabolome and proteome identified emerging properties difficult to grasp with the single omics approach, more reliably interpreted the cancer signaling pathway, and explored new drug targets. Especially, through this analysis, proteins (PPCS, PMP2, and TUBB) and metabolites (L-carnitine and PC-O (30:0)) related to the carnitine system involved in cancer plasticity were identified.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.