GlycReSoft: A Software Package for Automated Recognition of Glycans from LC/MS Data

Glycosylation modifies the physicochemical properties and protein binding functions of glycoconjugates. These modifications are biosynthesized in the endoplasmic reticulum and Golgi apparatus by a series of enzymatic transformations that are under complex control. As a result, mature glycans on a given site are heterogeneous mixtures of glycoforms. This gives rise to a spectrum of adhesive properties that strongly influences interactions with binding partners and resultant biological effects. In order to understand the roles glycosylation plays in normal and disease processes, efficient structural analysis tools are necessary. In the field of glycomics, liquid chromatography/mass spectrometry (LC/MS) is used to profile the glycans present in a given sample. This technology enables comparison of glycan compositions and abundances among different biological samples, i.e. normal versus disease, normal versus mutant, etc. Manual analysis of the glycan profiling LC/MS data is extremely time-consuming and efficient software tools are needed to eliminate this bottleneck. In this work, we have developed a tool to computationally model LC/MS data to enable efficient profiling of glycans. Using LC/MS data deconvoluted by Decon2LS/DeconTools, we built a list of unique neutral masses corresponding to candidate glycan compositions summarized over their various charge states, adducts and range of elution times. Our work aims to provide confident identification of true compounds in complex data sets that are not amenable to manual interpretation. This capability is an essential part of glycomics work flows. We demonstrate this tool, GlycReSoft, using an LC/MS dataset on tissue derived heparan sulfate oligosaccharides. The software, code and a test data set are publically archived under an open source license.     

Annotation of a serum N-glycan library for rapid identification of structures

Glycosylation is one of the most common post-translational modifications of proteins and has been shown to change with various pathological states including cancer. Global glycan profiling of human serum based on mass spectrometry has already led to several promising markers for diseases. The changes in glycan structure can result in altered monosaccharide composition as well as in the linkages between the monosaccharides. High-throughput glycan structural elucidation is not possible because of the lack of a glycan template to expedite identification. In an effort toward rapid profiling and identification of glycans, we have constructed a library of structures for the serum glycome to aid in the rapid identification of serum glycans. N-Glycans from human serum glycoproteins are used as a standard and compiled into a library with exact structure (composition and linkage), liquid chromatography retention time, and accurate mass. Development of the library relies on highly reproducible nanoLC-MS retention times. Tandem MS and exoglycosidase digestions were used for structural elucidation. The library currently contains over 300 entries with 50 structures completely elucidated and over 60 partially elucidated structures. This database is steadily growing and will be used to rapidly identify glycans in unknown biological samples.     

Advanced assessment of the physicochemical characteristics of Remicade® and Inflectra® by sensitive LC/MS techniques

In this study, we demonstrate the utility of ultra-performance liquid chromatography coupled to mass spectrometry (MS) and ion-mobility spectrometry (IMS) to characterize and compare reference and biosimilar monoclonal antibodies (mAbs) at an advanced level. Specifically, we focus on infliximab and compared the glycan profiles, higher order structures, and their host cell proteins (HCPs) of the reference and biosimilar products, which have the brand names Remicade® and Inflectra®, respectively. Overall, the biosimilar attributes mirrored those of the reference product to a very high degree. The glycan profiling analysis demonstrated a high degree of similarity, especially among the higher abundance glycans. Some differences were observed for the lower abundance glycans. Glycans terminated with N-glycolylneuraminic acid were generally observed to be at higher normalized abundance levels on the biosimilar mAb, while those possessing α-linked galactose pairs were more often expressed at higher levels on the reference molecule. Hydrogen deuterium exchange (HDX) analyses further confirmed the higher-order similarity of the 2 molecules. These results demonstrated only very slight differences between the 2 products, which, interestingly, seemed to be in the area where the N-linked glycans reside. The HCP analysis by a 2D-UPLC IMS-MS approach revealed that the same 2 HCPs were present in both mAb samples. Our ability to perform these types of analyses and acquire insightful data for biosimilarity assessment is based upon our highly sensitive UPLC MS and IMS methods.     

The development of retrosynthetic glycan libraries to profile and classify the human serum N‐linked glycome

Annotation of the human serum N‐linked glycome is a formidable challenge but is necessary for disease marker discovery. A new theoretical glycan library was constructed and proposed to provide all possible glycan compositions in serum. It was developed based on established glycobiology and retrosynthetic state‐transition networks. We find that at least 331 compositions are possible in the serum N‐linked glycome. By pairing the theoretical glycan mass library with a high mass accuracy and high‐resolution MS, human serum glycans were effectively profiled. Correct isotopic envelope deconvolution to monoisotopic masses and the high mass accuracy instruments drastically reduced the amount of false composition assignments. The high throughput capacity enabled by this library permitted the rapid glycan profiling of large control populations. With the use of the library, a human serum glycan mass profile was developed from 46 healthy individuals. This paper presents a theoretical N‐linked glycan mass library that was used for accurate high‐throughput human serum glycan profiling. Rapid methods for evaluating a patient's glycome are instrumental for studying glycan‐based markers.     

High-throughput glycosylation analysis of therapeutic immunoglobulin G by capillary gel electrophoresis using a DNA analyzer

The Fc glycosylation of therapeutic antibodies is crucial for their effector functions and their behavior in pharmacokinetics and pharmacodynamics. To monitor the Fc glycosylation in bioprocess development and characterization, high-throughput techniques for glycosylation analysis are needed. Here, we describe the development of a largely automated high-throughput glycosylation profiling method with multiplexing capillary-gel-electrophoresis (CGE) with laser induced fluorescence (LIF) detection using a DNA analyzer. After PNGaseF digestion, the released glycans were labeled with 9-aminopyrene-1,3,6-trisulfonic acid (APTS) in 96-well plates, which was followed by the simultaneous analysis of up to 48 samples. The peak assignment was conducted by HILIC-UPLC-MS/MS of the APTS-labeled glycans combined with peak fractionation and subsequent CGE-LIF analysis of the MS-characterized fractions. Quantitative data evaluation of the various IgG glycans was performed automatically using an in-house developed software solution. The excellent method accuracy and repeatability of the test system was verified by comparison with two UPLC-based methods for glycan analysis. Finally, the practical value of the developed method was demonstrated by analyzing the antibody glycosylation profiles from fermentation broths after small scale protein A purification.     

High-throughput glycosylation analysis of therapeutic immunoglobulin G by capillary gel electrophoresis using a DNA analyzer

The Fc glycosylation of therapeutic antibodies is crucial for their effector functions and their behavior in pharmacokinetics and pharmacodynamics. To monitor the Fc glycosylation in bioprocess development and characterization, high-throughput techniques for glycosylation analysis are needed. Here, we describe the development of a largely automated high-throughput glycosylation profiling method with multiplexing capillary-gel-electrophoresis (CGE) with laser induced fluorescence (LIF) detection using a DNA analyzer. After PNGaseF digestion, the released glycans were labeled with 9-aminopyrene-1,3,6-trisulfonic acid (APTS) in 96-well plates, which was followed by the simultaneous analysis of up to 48 samples. The peak assignment was conducted by HILIC-UPLC-MS/MS of the APTS-labeled glycans combined with peak fractionation and subsequent CGE-LIF analysis of the MS-characterized fractions. Quantitative data evaluation of the various IgG glycans was performed automatically using an in-house developed software solution. The excellent method accuracy and repeatability of the test system was verified by comparison with two UPLC-based methods for glycan analysis. Finally, the practical value of the developed method was demonstrated by analyzing the antibody glycosylation profiles from fermentation broths after small scale protein A purification.     

Comparison of methods for the analysis of therapeutic immunoglobulin G Fc-glycosylation profiles—Part 2: Mass spectrometric methods

To monitor the Fc glycosylation of therapeutic immunoglobulin G in bioprocess development, product characterization and release analytics, reliable techniques for glycosylation analysis are needed. Several analytical methods are suitable for this application. We recently presented results comparing detection methods for glycan analysis that are separation-based, but did not include mass spectrometry (MS). In the study reported here, we comprehensively compared MS-based methods for Fc glycosylation profiling of an IgG biopharmaceutical. A therapeutic antibody reference material was analyzed 6-fold on 2 different days, and the methods investigated were compared with respect to precision, accuracy, throughput and analysis time. Emphasis was put on the detection and quantitation of sialic acid-containing glycans. Eleven MS methods were compared to hydrophilic interaction liquid chromatography of 2-aminobenzamide labeled glycans with fluorescence detection, which served as a reference method and was also used in the first part of the study. The methods compared include electrospray MS of the heavy chain and Fc part after limited digestion, liquid chromatography MS of a tryptic digest, porous graphitized carbon chromatography MS of released glycans, electrospray MS of glycopeptides, as well as matrix assisted laser desorption ionization MS of glycans and glycopeptides. Most methods showed excellent precision and accuracy. Some differences were observed with regard to the detection and quantitation of low abundant glycan species like the sialylated glycans and the amount of artefacts due to in-source decay.     

From glycomics to functional glycomics of sugar chains: Identification of target proteins with functional changes using gene targeting mice and knock down cells of FUT8 as examples

Comprehensive analyses of proteins from cells and tissues are the most effective means of elucidating the expression patterns of individual disease-related proteins. On the other hand, the simultaneous separation and characterization of proteins by 1-DE or 2-DE followed by MS analysis are one of the fundamental approaches to proteomic analysis. However, these analyses do not permit the complete structural identification of glycans in glycoproteins or their structural characterization. Over half of all known proteins are glycosylated and glycan analyses of glycoproteins are requisite for fundamental proteomics studies. The analysis of glycan structural alterations in glycoproteins is becoming increasingly important in terms of biomarkers, quality control of glycoprotein drugs, and the development of new drugs. However, usual approach such as proteoglycomics, glycoproteomics and glycomics which characterizes and/or identifies sugar chains, provides some structural information, but it does not provide any information of functionality of sugar chains. Therefore, in order to elucidate the function of glycans, functional glycomics which identifies the target glycoproteins and characterizes functional roles of sugar chains represents a promising approach. In this review, we show examples of functional glycomics technique using alpha 1,6 fucosyltransferase gene (Fut8) in order to identify the target glycoprotein(s). This approach is based on glycan profiling by CE/MS and LC/MS followed by proteomic approaches, including 2-DE/1-DE and lectin blot techniques and identification of functional changes of sugar chains.     

High-throughput quantitative analysis of plant N-glycan using a DNA sequencer

High-throughput quantitative analytical method for plant N-glycan has been developed. All steps, including peptide N-glycosidase (PNGase) A treatment, glycan preparation, and exoglycosidase digestion, were optimized for high-throughput applications using 96-well format procedures and automatic analysis on a DNA sequencer. The glycans of horseradish peroxidase with plant-specific core α(1,3)-fucose can be distinguished by the comparison of the glycan profiles obtained via PNGase A and F treatments. The peaks of the glycans with (91%) and without (1.2%) α(1,3)-fucose could be readily quantified and shown to harbor bisecting β(1,2)-xylose via simultaneous treatment with α(1,3)-mannosidase and β(1,2)-xylosidase. This optimized method was successfully applied to analyze N-glycans of plant-expressed recombinant antibody, which was engineered to contain a minor amount of glycan harboring β(1,2)-xylose. These results indicate that our DNA sequencer-based method provides quantitative information for plant-specific N-glycan analysis in a high-throughput manner, which has not previously been achieved by glycan profiling based on mass spectrometry.     

Multiplexed analysis of glycan variation on native proteins captured by antibody microarrays

Carbohydrate post-translational modifications on proteins are important determinants of protein function in both normal and disease biology. We have developed a method to allow the efficient, multiplexed study of glycans on individual proteins from complex mixtures, using antibody microarray capture of multiple proteins followed by detection with lectins or glycan-binding antibodies. Chemical derivatization of the glycans on the spotted antibodies prevented lectin binding to those glycans. Multiple lectins could be used as detection probes, each targeting different glycan groups, to build up lectin binding profiles of captured proteins. By profiling both protein and glycan variation in multiple samples using parallel sandwich and glycan-detection assays, we found cancer-associated glycan alteration on the proteins MUC1 and CEA in the serum of pancreatic cancer patients. Antibody arrays for glycan detection are highly effective for profiling variation in specific glycans on multiple proteins and should be useful in diverse areas of glycobiology research.     

Glycan characterization of the NIST RM monoclonal antibody using a total analytical solution: From sample preparation to data analysis

Glycosylation is an important attribute of biopharmaceutical products to monitor from development through production. However, glycosylation analysis has traditionally been a time-consuming process with long sample preparation protocols and manual interpretation of the data. To address the challenges associated with glycan analysis, we developed a streamlined analytical solution that covers the entire process from sample preparation to data analysis. In this communication, we describe the complete analytical solution that begins with a simplified and fast N-linked glycan sample preparation protocol that can be completed in less than 1 hr. The sample preparation includes labelling with RapiFluor-MS tag to improve both fluorescence (FLR) and mass spectral (MS) sensitivities. Following HILIC-UPLC/FLR/MS analyses, the data are processed and a library search based on glucose units has been included to expedite the task of structural assignment. We then applied this total analytical solution to characterize the glycosylation of the NIST Reference Material mAb 8761. For this glycoprotein, we confidently identified 35 N-linked glycans and all three major classes, high mannose, complex, and hybrid, were present. The majority of the glycans were neutral and fucosylated; glycans featuring N-glycolylneuraminic acid and those with two galactoses connected via an α1,3-linkage were also identified.     

Integrated mass spectrometric strategy for characterizing the glycans from glycosphingolipids and glycoproteins: direct identification of sialyl Le(x) in mice

The current interest in applying systems biology approaches to studying an organism's form or function promises to reveal further insights into the role of glycosylation in cells and whole organisms. This has prompted the development of a rapid, sensitive method of profiling the glycan component of both glycosphingolipids and glycoproteins from a single sample. Here we report a new mass spectrometric screening strategy for characterizing glycosphingolipid-derived oligosaccharides, which can be integrated into an existing highly sensitive glycoprotein glycomics strategy. Using ceramide glycanase to release the glycans from glycosphingolipids, this method provides a reliable profile of the glycosphingolipid-derived glycans present in a sample and has revealed new glycan structures. Glycoproteins are also efficiently recovered using this method, allowing the subsequent analysis of glycoprotein-derived glycans by mass spectrometry. The high sensitivity of this glycomic screening method allowed us to directly characterize the sialyl Le(x) epitope from mouse brain for the first time, where it was observed on an O-mannose structure. Thus, we present a mass spectrometric method that allows glycomic screening of N- and O-glycans as well as glycosphingolipid-derived glycans from a single tissue.     

Tools for glycomics: relative quantitation of glycans by isotopic permethylation using 13CH3I

Analysis of oligosaccharides by mass spectrometry (MS) has enabled the investigation of the glycan repertoire of organisms with high resolution and sensitivity. It is difficult, however, to correlate the expression of glycosyltransferases with the glycan structures present in a particular cell type or tissue because the use of MS for quantitative purposes has significant limitations. For this reason, in order to develop a technique that would allow relative glycan quantification by MS analysis between two samples, a procedure was developed for the isotopic labeling of oligosaccharides with (13)C-labeled methyl iodide using standard permethylation conditions. Separate aliquots of oligosaccharides from human milk were labeled with (12)C or (13)C methyl iodide; the labeled and non-labeled glycans were mixed in known proportions, and the mixtures analyzed by MS. Results indicated that the isotopic labeling described here was capable of providing relative quantitative data with a dynamic range of at least two orders of magnitude, adequate linearity, and reproducibility with a coefficient of variation that was 13% on average. This procedure was used to analyze N-linked glycans released from various mixtures of glycoproteins, such as alpha-1 acid glycoprotein, human transferrin, and bovine fetuin, using MS techniques that included matrix assisted laser desorption ionization-time of flight MS and electrospray ionization with ion cyclotron resonance-Fourier transformation MS. The measured (12)C:(13)C ratios from mixtures of glycans permethylated with either (12)CH(3)I or (13)CH(3)I were consistent with the theoretical proportions. This technique is an effective procedure for relative quantitative glycan analysis by MS.     

Structural analysis of N- and O-glycans released from glycoproteins

This protocol shows how to obtain a detailed glycan compositional and structural profile from purified glycoproteins or protein mixtures, and it can be used to distinguish different isobaric glycan isomers. Glycoproteins are immobilized on PVDF membranes before the N-glycans are enzymatically released by PNGase F, isolated and reduced. Subsequently, O-glycans are chemically released from the same protein spot by reductive β-elimination. After desalting with cation exchange microcolumns, the glycans are separated and analyzed by porous graphitized carbon liquid chromatography-electrospray ionization tandem mass spectrometry (LC-ESI-MS/MS). Optionally, the glycans can be treated with sialidases or other specific exoglycosidases to yield more detailed structural information. The sample preparation takes approximately 4 d, with a heavier workload on days 2 and 3, and a lighter load on days 1 and 4. The time for data interpretation depends on the complexity of the samples analyzed. This method can be used in conjunction with the analysis of enriched glycopeptides by capillary/nanoLC-ESI-MS/MS, which together provide detailed information regarding the site heterogeneity of glycosylation.     

A relative and absolute quantification of neutral N-linked oligosaccharides using modification with carboxymethyl trimethylammonium hydrazide and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry

Quantification of oligosaccharides is of great importance to investigate variations or changes in the glycans of glycoconjugates. Mass spectrometry (MS) has been widely applied to identification and structural analysis of complex oligosaccharides. However, quantification using MS alone is still quite challenging due to heterogeneous charge states and different ionization efficiency of various types of oligosaccharides. To overcome such shortcomings, derivatization with carboxymethyl trimethylammonium hydrazide (Girard’s reagent T [GT]) was introduced to generate a permanent cationic charge at the reducing end of neutral oligosaccharides, resulting in mainly [M]⁺ ion using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), so that the ambiguities caused by metal adduct peaks such as [M+K]⁺ and [M + Na]⁺ were avoided. To verify our method, the relative and absolute quantification of neutral glycans from human immunoglobulin G (IgG) and ovalbumin with internal standards of dextran ladders using MALDI-TOF MS were compared with those performed by conventional normal-phase high-performance liquid chromatography (NP-HPLC) profiling. The quantification using GT derivatization and MALDI-TOF MS agreed well with the HPLC profiling data and showed excellent reliability and reproducibility with better resolution and sensitivity. This method was further applied to quantify the enzymatically desialylated N-glycans from miniature pig kidney membrane proteins. The results showed that the low-abundance structures that could not be resolved by NP-HPLC were quantified with high sensitivity. Thus, this novel method of using modification of neutral sugars with GT is quite powerful for neutral glycan analysis, especially to quantify minute glycan samples with undetectable levels using HPLC.     

Functional Glycomic Analysis of Human Milk Glycans Reveals the Presence of Virus Receptors and Embryonic Stem Cell Biomarkers

Human milk contains a large diversity of free glycans beyond lactose, but their functions are not well understood. To explore their functional recognition, here we describe a shotgun glycan microarray prepared from isolated human milk glycans (HMGs), and our studies on their recognition by viruses, antibodies, and glycan-binding proteins (GBPs), including lectins. The total neutral and sialylated HMGs were derivatized with a bifunctional fluorescent tag, separated by multidimensional HPLC, and archived in a tagged glycan library, which was then used to print a shotgun glycan microarray (SGM). This SGM was first interrogated with well defined GBPs and antibodies. These data demonstrated both the utility of the array and provided preliminary structural information (metadata) about this complex glycome. Anti-TRA-1 antibodies that recognize human pluripotent stem cells specifically recognized several HMGs that were then further structurally defined as novel epitopes for these antibodies. Human influenza viruses and Parvovirus Minute Viruses of Mice also specifically recognized several HMGs. For glycan sequencing, we used a novel approach termed metadata-assisted glycan sequencing (MAGS), in which we combine information from analyses of glycans by mass spectrometry with glycan interactions with defined GBPs and antibodies before and after exoglycosidase treatments on the microarray. Together, these results provide novel insights into diverse recognition functions of HMGs and show the utility of the SGM approach and MAGS as resources for defining novel glycan recognition by GBPs, antibodies, and pathogens.     

Structural Characterization by Multistage Mass Spectrometry (MSn) of Human Milk Glycans Recognized by Human Rotaviruses

We have shown that recombinant forms of VP8* domains of the human rotavirus outer capsid spike protein VP4 from human neonatal strains (N155(G10P[11]) and RV3(G3P[6]) and a bovine strain (B223) recognize unique glycans within the repertoire of human milk glycans. The accompanying study by Yu et al.², describes a human milk glycan shotgun glycan microarray that led to the identification of 32 specific glycans in the human milk tagged glycan library that were recognized by these human rotaviruses. These microarray analyses also provided a variety of metadata about the recognized glycan structures compiled from anti-glycan antibody and lectin binding before and after specific glycosidase digestions, along with compositional information from mass analysis by matrix-assisted laser desorption ionization-mass spectrometry. To deduce glycan sequence and utilize information predicted by analyses of metadata from each glycan, 28 of the glycan targets were retrieved from the tagged glycan library for detailed sequencing using sequential disassembly of glycans by ion-trap mass spectrometry. Our aim is to obtain a deeper structural understanding of these key glycans using an orthogonal approach for structural confirmation in a single ion trap mass spectrometer. This sequential ion disassembly strategy details the complexities of linkage and branching in multiple compositions, several of which contained isomeric mixtures including several novel structures. The application of this approach exploits both library matching with standard materials and de novo approaches. This combination together with the metadata generated from lectin and antibody-binding data before and after glycosidase digestions provide a heretofore-unavailable level of analytical detail to glycan structure analysis. The results of these studies showed that, among the 28 glycan targets analyzed, 27 unique structures were identified, and 23 of the human milk glycans recognized by human rotaviruses represent novel structures not previously described as glycans in human milk. The functional glycomics analysis of human milk glycans provides significant insight into the repertoire of glycans comprising the human milk metaglycome.     

Integrated mass spectrometry-based analysis of plasma glycoproteins and their glycan modifications

We present a protocol for the identification of glycosylated proteins in plasma followed by elucidation of their individual glycan compositions. The study of glycoproteins by mass spectrometry is usually based on cleavage of glycans followed by separate analysis of glycans and deglycosylated proteins, which limits the ability to derive glycan compositions for individual glycoproteins. The methodology described here consists of 2D HPLC fractionation of intact proteins and liquid chromatography-multistage tandem mass spectrometry (LC-MS/MS(n)) analysis of digested protein fractions. Protein samples are separated by 1D anion-exchange chromatography (AEX) with an eight-step salt elution. Protein fractions from each of the eight AEX elution steps are transferred onto the 2D reversed-phase column to further separate proteins. A digital ion trap mass spectrometer with a wide mass range is then used for LC-MS/MS(n) analysis of intact glycopeptides from the 2D HPLC fractions. Both peptide and oligosaccharide compositions are revealed by analysis of the ion fragmentation patterns of glycopeptides with an intact glycopeptide analysis pipeline.     

Hexapeptide library as a universal tool for sample preparation in protein glycosylation analysis

Recent analytical advancements allow for large-scale glycomics and glycan-biomarker research with N-glycans released from complex protein mixtures of e.g. plasma with a wide range of protein concentrations. Protein enrichment techniques to obtain samples with a better representation of low-abundance proteins are hardy applied. In this study, hexapeptide ligands previously described for enrichment of low-abundance proteins in proteomics are evaluated for glycan analysis. A repeatable on-bead glycan release strategy was developed, and glycans were analyzed using capillary sieving electrophoresis on a DNA analyzer. Binding of proteins to the hexapeptide library occurred via the protein backbone. At neutral pH no discrimination between protein glycoforms was observed. Interestingly, glycan profiles of plasma with and without hexapeptide library enrichment revealed very similar patterns, despite the vast changes in protein concentrations in the samples. The most significant differences in glycosylation profiles were ascribed to a reduction in immunoglobulin-derived glycans. These results suggest that specific and sensitive biomarkers will be hard to access on the full plasma level using protein enrichment in combination with glycan analysis. Instead, fractionation techniques or profiling strategies on the glycopeptide level after enrichment are proposed for in-depth glycoproteomics research.     

On the analysis of glycomics mass spectrometry data via the regularized area under the ROC curve

Background  

Novel molecular and statistical methods are in rising demand for disease diagnosis and prognosis with the help of recent advanced biotechnology. High-resolution mass spectrometry (MS) is one of those biotechnologies that are highly promising to improve health outcome. Previous literatures have identified some proteomics biomarkers that can distinguish healthy patients from cancer patients using MS data. In this paper, an MS study is demonstrated which uses glycomics to identify ovarian cancer. Glycomics is the study of glycans and glycoproteins. The glycans on the proteins may deviate between a cancer cell and a normal cell and may be visible in the blood. High-resolution MS has been applied to measure relative abundances of potential glycan biomarkers in human serum. Multiple potential glycan biomarkers are measured in MS spectra. With the objection of maximizing the empirical area under the ROC curve (AUC), an analysis method was considered which combines potential glycan biomarkers for the diagnosis of cancer.