Serum Glyco-Markers of Early Hepatocellular Carcinoma Using a Mass Spec Approach

使用质谱方法检测早期肝细胞癌的血清糖标记物

• 批准号: 8464671
• 负责人: David M. Lubman
• 金额: $ 34.26万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-05-01 至 2016-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8464671
• 关键词: Affinity; Antibodies; Antibody Affinity; Biological Assay; Biological Markers; Blinded; Characteristics; Cirrhosis; Clinical; Complement; Data; Detection; Development; Diagnostic; Disease; Early Detection Research Network; Early Diagnosis; Enzyme-Linked Immunosorbent Assay; Excision; Frequencies; Glycoproteins; Hepatitis C virus; Incidence; Lectin; Level of Evidence; Link; Liver Cirrhosis; Liver diseases; Malignant Neoplasms; Mass Spectrum Analysis; Methodology; Methods; Monoclonal Antibodies; Patients; Pattern; Performance; Phase; Polysaccharides; Precipitation; Primary carcinoma of the liver cells; Protein Glycosylation; Proteins; Reproducibility; Resolution; Review Literature; Risk Factors; Running; Sample Size; Sampling; Screening for cancer; Serum; Serum Markers; Specificity; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization; Staging; Structure; Techniques; Testing; Ultrasonography; Validation; Work; alpha-Fetoproteins; base; carbohydrate structure; high risk; improved; mortality; novel; phase 2 study; screening; success; systematic review; tandem mass spectrometry; tumor; validation studies

DESCRIPTION (provided by applicant): Hepatocellular Carcinoma (HCC) is the fourth most common cancer in the world. The incidence and mortality rates for HCC are virtually identical, indicating that novel methods for the early detection of HCC are of utmost importance. Liver cirrhosis is the most important factor in the development of HCC. Since the incidence of HCC is expected to double over the next decade, a highly specific noninvasive test that can differentiate early HCC from cirrhosis could have major impact on survival of patients at high risk of developing this disease. We have developed a unique lectin array/mass spectrometry isotopic tag method for identifying potential glycoprotein markers of early stage hepatocellular cancer (HCC) versus cirrhosis in serum. Several markers have been identified in our previous work, some of which have now passed a first stage of EDRN blinded validation based on ELISA assays. In the work proposed herein, we plan to develop a MALDI QIT mass spec based assay of glycans from early HCC and cirrhosis and compare them to results from the ELISA based methods to improve the overall performance for detection of HCC. In this method, immunoaffinity precipitation is used to extract a target glycoprotein from serum, the glycans removed and then the glycans are profiled using MALDI QIT MS. This platform utilizes monoclonal antibodies to capture and isolate target serum glycoproteins on which alterations in glycan structure can be probed using a mass spec based technique. The captured glycoproteins are deglycosylated and the glycan groups rapidly analyzed using tandem mass spectrometry. The use of the antibody affinity selects a limited number of candidates thus simplifying the search for glycans that are specific to the disease state using mass spectrometry. In addition, it associates the glycan change to a specific protein in serum providing a high degree of selectivity for detection of the glycan change in each disease state. It will be shown that this mass spec based method is highly specific and can detect changes in glycan structure between early HCC and cirrhosis. The method can detect changes in glycan structure while the current standard ELISAs only detect quantitative changes in glycoprotein expression. The mass spec method can also use an MS/MS technique for multiplexed samples so that glycan patterns from several proteins can be discriminated and several assays can be run simultaneously. The mass spec and ELISA methods will be applied to blinded sets of samples provided by the EDRN to demonstrate the potential for identifying markers of early HCC based on a combination of changes in fucosylation levels and glycoprotein level of target proteins where novel glycoproteins will undergo validation in a phase 1 biomarker study followed by validation in a larger phase 2 study.

描述（由申请人提供）：肝细胞癌（HCC）是世界上第四大常见癌症。 HCC 的发病率和死亡率几乎相同，这表明早期检测 HCC 的新方法至关重要。肝硬化是肝癌发生的最重要因素。由于 HCC 的发病率预计在未来十年内将增加一倍，因此能够区分早期 HCC 和肝硬化的高度特异性非侵入性检测可能会对罹患这种疾病的高风险患者的生存产生重大影响。我们开发了一种独特的凝集素阵列/质谱同位素标签方法，用于识别血清中早期肝细胞癌 (HCC) 与肝硬化的潜在糖蛋白标记物。我们之前的工作中已经鉴定了一些标记物，其中一些标记物现已通过基于 ELISA 测定的 EDRN 盲法验证的第一阶段。在本文提出的工作中，我们计划开发基于 MALDI QIT 质谱的早期 HCC 和肝硬化聚糖检测，并将其与基于 ELISA 的方法的结果进行比较，以提高 HCC 检测的整体性能。在此方法中，使用免疫亲和沉淀从血清中提取目标糖蛋白，去除聚糖，然后使用 MALDI QIT MS 对聚糖进行分析。该平台利用单克隆抗体捕获和分离目标血清糖蛋白，可以使用基于质谱的技术探测其聚糖结构的变化。捕获的糖蛋白被去糖基化，并使用串联质谱法快速分析聚糖基团。抗体亲和力的使用选择了有限数量的候选者，从而简化了使用质谱法寻找特定于疾病状态的聚糖。此外，它将聚糖变化与血清中的特定蛋白质相关联，为检测每种疾病状态下的聚糖变化提供了高度选择性。结果表明，这种基于质谱的方法具有高度特异性，可以检测早期 HCC 和肝硬化之间聚糖结构的变化。该方法可以检测聚糖结构的变化，而目前的标准 ELISA 只能检测糖蛋白表达的定量变化。质谱方法还可以对多重样品使用 MS/MS 技术，以便可以区分多种蛋白质的聚糖模式，并可以同时运行多种测定。质谱和 ELISA 方法将应用于 EDRN 提供的盲样组，以证明基于目标蛋白岩藻糖基化水平和糖蛋白水平变化的组合来识别早期 HCC 标记物的潜力，其中新型糖蛋白将在第一阶段生物标志物研究，随后在更大规模的第二阶段研究中进行验证。