ArticleJournal of proteome research2010
Identification of N-glycan serum markers associated with hepatocellular carcinoma from mass spectrometry data.
Article in Journal of proteome research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 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.
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Who cites it
32 citing papers in PubMed, 63 citations in OpenAlex.
- N-glycans in liver-secreted and immunoglogulin-derived protein fractions.Journal of proteomics · 2012Trial
- Mass spectrometry based biomarkers for early detection of HCC using a glycoproteomic approach.Advances in cancer research · 2023Review
- Real-World Visual Experience Alters Baseline Brain Activity in the Resting State: A Longitudinal Study Using Expertise Model of Radiologists.Frontiers in neuroscience · 2022Article
- Detection of Aberrant Glycosylation of Serum Haptoglobin for Gastric Cancer Diagnosis Using a Middle-Up-Down Glycoproteome Platform.Journal of personalized medicine · 2021Article
- Glycoproteomic markers of hepatocellular carcinoma-mass spectrometry based approaches.Mass spectrometry reviews · 2019Review
- Comparison of the methods for profilingRSC advances · 2018Article
- Recent advances in mass spectrometric analysis of glycoproteins.Electrophoresis · 2017Review
- Use of Mass Spectrometry to Screen Glycan Early Markers in Hepatocellular Carcinoma.Frontiers in oncology · 2017Review
- LC-MS/MS analysis of permethylated N-glycans facilitating isomeric characterization.Analytical and bioanalytical chemistry · 2017Article
- LC-MS/MS analysis of permethylated free oligosaccharides and N-glycans derived from human, bovine, and goat milk samples.Electrophoresis · 2016Article
- Efficient Chemoenzymatic Synthesis of an N-glycan Isomer Library.Chemical science · 2015Article
- Insights into glycan biosynthesis in chemically-induced hepatocellular carcinoma in rats: A glycomic analysis.World journal of gastroenterology · 2015Article
- LC-MS profiling of N-Glycans derived from human serum samples for biomarker discovery in hepatocellular carcinoma.Journal of proteome research · 2014Article
- Quantification of fucosylated hemopexin and complement factor H in plasma of patients with liver disease.Analytical chemistry · 2014Article
- An integrative strategy for quantitative analysis of the N-glycoproteome in complex biological samples.Proteome science · 2014Article
- The Role of Mass Spectrometry in the "Omics" Era.Current organic chemistry · 2013Article
- Comparative profiling of N-glycans isolated from serum samples of ovarian cancer patients and analyzed by microchip electrophoresis.Journal of proteome research · 2013Article
- Total serum glycan analysis is superior to lectin-FLISA for the early detection of hepatocellular carcinoma.Proteomics. Clinical applications · 2013Article
- Automated glycopeptide analysis--review of current state and future directions.Briefings in bioinformatics · 2013Review
- Isomer-specific chromatographic profiling yields highly sensitive and specific potential N-glycan biomarkers for epithelial ovarian cancer.Journal of chromatography. A · 2013Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 2 countries.
Funding
Abstract
Glycocylation represents the most complex and widespread post-translational modifications in human proteins. The variation of glycosylation is closely related to oncogenic transformation. Therefore, profiling of glycans detached from proteins is a promising strategy to identify biomarkers for cancer detection. This study identified candidate glycan biomarkers associated with hepatocellular carcinoma by mass spectrometry. Specifically, mass spectrometry data were analyzed with a peak selection procedure which incorporates multiple random sampling strategies with recursive feature selection based on support vector machines. Ten peak sets were obtained from different combinations of samples. Seven peaks were shared by each of the 10 peaksets, in which 7-12 peaks were selected, indicating 58-100% of peaks were shared by the 10 peaksets. Support vector machines and hierarchical clustering method were used to evaluate the performance of the peaksets. The predictive performance of the seven peaks was further evaluated by using 19 newly generated MALDI-TOF spectra. Glycan structures for four glycans of the seven peaks were determined. Literature search indicated that the structures of the four glycans could be found in some cancer-related glycoproteins. The method of this study is significant in deriving consistent, accurate, and biological significant glycan marker candidates for hepatocellular carcinoma diagnosis.
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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.