ArticleCancers2019
Comprehensive Serum Glycopeptide Spectra Analysis (CSGSA): A Potential New Tool for Early Detection of Ovarian Cancer.
Article in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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.
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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.
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Who cites it
13 citing papers in PubMed, 17 citations in OpenAlex.
- Distinct origins of high-grade serous ovarian carcinoma: genetic and epigenetic evidence linking ovarian and fallopian tube epithelium to clinical outcomes and early detection.Molecular biology reports · 2025Review
- Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case-control study.Molecular oncology · 2025Article
- Article
- Comprehensive serum glycopeptide spectrum analysis with machine learning for non-invasive early detection of gastrointestinal cancers.Computational and structural biotechnology journal · 2025Article
- Comprehensive serum glycopeptide spectra analysis to identify early-stage epithelial ovarian cancer.Scientific reports · 2024Article
- Article
- Metabolomics analysis of MnORSC advances · 2023Article
- Metabolomic analyses reveal new stage-specific features of COVID-19.The European respiratory journal · 2022Article
- Multiblock metabolomics: An approach to elucidate whole-body metabolism with multiblock principal component analysis.Computational and structural biotechnology journal · 2021Article
- An Integrated Strategy for Rapid Discovery and Identification of Quality Markers in Gardenia Fructus Using an Omics Discrimination-Grey Correlation-Biological Verification Method.Frontiers in pharmacology · 2021Article
- Article
- Article
- Screening and Prevention for High-Grade Serous Carcinoma of the Ovary Based on Carcinogenesis-Fallopian Tube- and Ovarian-Derived Tumors and Incessant Retrograde Bleeding.Diagnostics (Basel, Switzerland) · 2020Review
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 2 countries.
Funding
Abstract
objectivesTo conduct a comprehensive glycopeptide spectra analysis of serum between cancer and non-cancer patients to identify early biomarkers of epithelial ovarian cancer (EOC).
methodsApproximately 30,000 glycopeptide peaks were detected from the digested serum glycoproteins of 39 EOC patients (23 early-stage, 16 advanced-stage) and 45 non-cancer patients (27 leiomyoma and ovarian cyst cases, 18 endometrioma cases) by liquid chromatography mass spectrometry (LC-MS). The differential glycopeptide peak spectra were analyzed to distinguish between cancer and non-cancer groups by employing multivariate analysis including principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA) and heat maps.
resultsExamined spectral peaks were filtered down to 2281 serum quantitative glycopeptide signatures for differentiation between ovarian cancer and controls using multivariate analysis. The OPLS-DA model using cross-validation parameters R2 and Q2 and score plots of the serum samples significantly differentiated the EOC group from the non-cancer control group. In addition, women with early-stage clear cell carcinoma and endometriomas were clearly distinguished from each other by OPLS-DA as well as by PCA and heat maps.
conclusionsOur study demonstrates the potential of comprehensive serum glycoprotein analysis as a useful tool for ovarian cancer detection.
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