ArticleProteomics2012
The glycolyzer: automated glycan annotation software for high performance mass spectrometry and its application to ovarian cancer glycan biomarker discovery.
Article in Proteomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed.
- Glycomics in Human Diseases and Its Emerging Role in Biomarker Discovery.Biomedicines · 2025Review
- Tumor ratio of unsaturated to saturated sulfatide species is associated with disease-free survival in intrahepatic cholangiocarcinoma.Cellular oncology (Dordrecht, Netherlands) · 2023Article
- Discovery of Serotransferrin Glycoforms: Novel Markers for Diagnosis of Liver Periductal Fibrosis and Prediction of Cholangiocarcinoma.Biomolecules · 2019Article
- Advancing Solutions to the Carbohydrate Sequencing Challenge.Journal of the American Chemical Society · 2019Review
- Serum IgA1 shows increased levels ofInterface focus · 2019Article
- The Interaction of the Gut Microbiota with the Mucus Barrier in Health and Disease in Human.Microorganisms · 2018Review
- Comparison of the methods for profilingRSC advances · 2018Article
- Inhibition of poly-LacNAc biosynthesis with release of CMP-Neu5Ac feedback inhibition increases the sialylation of recombinant EPO produced in CHO cells.Scientific reports · 2018Article
- Multiple Reaction Monitoring for the Quantitation of Serum Protein Glycosylation Profiles: Application to Ovarian Cancer.Journal of proteome research · 2018Article
- Increased expression of the high-mannoseOncology letters · 2018Article
- Glycans and glycoproteins as specific biomarkers for cancer.Analytical and bioanalytical chemistry · 2017Review
- A Brief Review of Bioinformatics Tools for Glycosylation Analysis by Mass Spectrometry.Mass spectrometry (Tokyo, Japan) · 2017Article
- Glycoproteomic Analysis of Malignant Ovarian Cancer Ascites Fluid Identifies Unusual Glycopeptides.Journal of proteome research · 2016Article
- GlycCompSoft: Software for Automated Comparison of Low Molecular Weight Heparins Using Top-Down LC/MS Data.PloS one · 2016Article
- Differential N-Glycosylation Patterns in Lung Adenocarcinoma Tissue.Journal of proteome research · 2015Article
- Benchmark study of automatic annotation of MALDI-TOF N-glycan profiles.Journal of proteomics · 2015Article
- Glycans in the immune system and The Altered Glycan Theory of Autoimmunity: a critical review.Journal of autoimmunity · 2015Review
- Polysialylated N-glycans identified in human serum through combined developments in sample preparation, separations, and electrospray ionization-mass spectrometry.Analytical chemistry · 2014Article
- GlyQ-IQ: glycomics quintavariate-informed quantification with high-performance computing and GlycoGrid 4D visualization.Analytical chemistry · 2014Article
- Evaluation of glycomic profiling as a diagnostic biomarker for epithelial ovarian cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2014Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Human serum glycomics is a promising method for finding cancer biomarkers but often lacks the tools for streamlined data analysis. The Glycolyzer software incorporates a suite of analytic tools capable of identifying informative glycan peaks out of raw mass spectrometry data. As a demonstration of its utility, the program was used to identify putative biomarkers for epithelial ovarian cancer from a human serum sample set. A randomized, blocked, and blinded experimental design was used on a discovery set consisting of 46 cases and 48 controls. Retrosynthetic glycan libraries were used for data analysis and several significant candidate glycan biomarkers were discovered via hypothesis testing. The significant glycans were attributed to a glycan family based on glycan composition relationships and incorporated into a linear classifier motif test. The motif test was then applied to the discovery set to evaluate the disease state discrimination performance. The test provided strongly predictive results based on receiver operator characteristic curve analysis. The area under the receiver operator characteristic curve was 0.93. Using the Glycolyzer software, we were able to identify a set of glycan biomarkers that highly discriminate between cases and controls, and are ready to be formally validated in subsequent studies.
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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.