Abstract:Previous studies indicated that glycans in serum may serve as biomarkers for diagnosis of ovarian cancer; however, it was unclear to which proteins these glycans belong. We hypothesize that protein-specific glycosylation profiles of the glycans may be more informative of ovarian cancer and can provide insight into biological mechanisms underlying glycan aberration in serum of diseased individuals. Serum samples from women diagnosed with epithelial ovarian cancer (EOC, n = 84) and matched healthy controls (n = … Show more
“…It has already been applied to rapid-throughput analysis of serum glycopeptides from several cancers. 22, 72–74 …”
Section: Sample Preparation and Methods To Partition The Glycoproteomementioning
confidence: 99%
“…82 There are limitations to this approach as it covers a subset of the glycome. Changes in non-sialylated glycopeptides of some proteins such as IgG have been shown to accompany cancers, 72 which could be missed by this method.…”
Section: Sample Preparation and Methods To Partition The Glycoproteomementioning
“…It has already been applied to rapid-throughput analysis of serum glycopeptides from several cancers. 22, 72–74 …”
Section: Sample Preparation and Methods To Partition The Glycoproteomementioning
confidence: 99%
“…82 There are limitations to this approach as it covers a subset of the glycome. Changes in non-sialylated glycopeptides of some proteins such as IgG have been shown to accompany cancers, 72 which could be missed by this method.…”
Section: Sample Preparation and Methods To Partition The Glycoproteomementioning
“…Normalizing the glycopeptide to the level of the protein helps to identify the actual glycosylation changes irrespective of the changes in the level of protein expression between samples [137]. This method has been extended to include other glycoproteins in serum[142] and it is currently applied in our laboratory to screen for disease biomarkers for cancer [143] autoimmune conditions and other diseases. A recent study investigated the immunoglobulins in ovarian cancer patients compared to the controls.…”
Section: Multiple Reaction Monitoring For Glycopeptide Analysismentioning
Protein glycosylation and other post-translational modifications are involved in potentially all aspects of human growth and development. Defective glycosylation has adverse effects on human physiological conditions and accompanies many chronic and infectious diseases. Altered glycosylation can occur at the onset and/or during tumor progression. Identifying these changes at early disease stages may aid in making decisions regarding treatments as early intervention can greatly enhance survival. This review highlights some of the efforts being made to identify N- and O-glycosylation profile shifts in cancer using mass spectrometry. The analysis of single or panels of potential glycoprotein cancer markers are covered. Other emerging technologies like global glycan release and site-specific glycosylation analysis and quantitation are also discussed.
“…These glycosylation patterns are often derived from high abundance proteins, and as such would be well targetable using clinical MS assays. Recently, MRM technology was developed and applied to assess the differential N-glycosylation patterns of serum immunoglobulins in ovarian cancer patients compared to controls [74][75][76]. In addition, a MALDI-FTICR system has been used to map a complex mixture of glycopeptides obtained from immunoglobulin A, exemplified in Figure 2 and showing the benefits of HRAM with regard to resolving overlapping species [63].…”
Section: Protein Applications In Clinical Ms That Potentially Benefitmentioning
Introduction: Advances in mass spectrometry (MS)-based proteomic strategies have resulted in robust protein biomarker discovery studies often performed on high resolution accurate mass (HRAM) platforms. For successful translation of promising protein biomarkers into useful clinical tests, trans-sector networks and collaboration among stakeholders involved in the biomarker pipeline are urgently needed. Areas covered: In this perspective, literature-and empirical evidence is combined with author's opinions to discuss the progress of ultrahigh resolution MS and provide insight in its potential for validation and development of clinical tests. Expert commentary: Thus far two 'low resolution' MS strategies have been implemented in the clinic: quantification of proteins using triple quadrupole instruments and identification of unknown microorganisms using comparative analysis with spectral libraries on MALDI-TOF instruments. The rise of HRAM technology further boosts the potential of MS-based tests for detection and quantitation of disease-specific biomarkers which meet the analytical performance specifications needed for clinical assays.ARTICLE HISTORY
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