首页> 外文期刊>Journal of the American College of Surgeons >Serum proteomic biomarker discovery reflective of stage and obesity in breast cancer patients.
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Serum proteomic biomarker discovery reflective of stage and obesity in breast cancer patients.

机译:血清蛋白质组学生物标志物的发现反映了乳腺癌患者的分期和肥胖。

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BACKGROUND: Currently no standardized blood test exists for breast cancer screening or staging purposes. The goals of this study were to use proteomic mass spectrometry approaches for profiling, fractionation, and identification of serum proteins from breast cancer patients for discovery of new biomarkers of stage and nodal status. STUDY DESIGN: Samples from 150 patients were collected preoperatively for patients undergoing breast biopsy. Serum was processed using weak cation exchange (WCX) fractionation and analyzed with matrix-assisted laser desorption ionization time of flight mass spectrometry. Spectra were processed and group profiles, peak statistics, and cross-validation scores were determined using a k-nearest neighbor genetic algorithm. Pools of subgroups based on stage, race, and obesity were processed with WCX fractionation followed by trypsin digestion. Differentially expressed proteins and peptides were identified by tandem mass spectrometry. RESULTS: Matrix-assisted laser desorption ionization time of flight proteomic profiling using WCX capture of serum proteins resulted in correct cancer stage classifications ranging from 72% to 84%. Nodal status was classified correctly with 88% cross-validation scores. Levels of endogenous low mass peptide fragments derived from kininogen, fibrinogen, plasminogen, and inter-alpha-trypsin inhibitor heavy chain 4 protein were increased in cancer stage III and stage IV samples. Adding trypsin digestions with WCX capture indicated increased levels of alpha-2-HS-glycoprotein, prothrombin, and serum amyloid A in stage IV samples. Obesity, but not race, was a factor in the relative levels of detected proteins/peptides. CONCLUSIONS: WCX fractionation alone or with trypsin digestion of serum suggest it can be possible to use a panel of proteins to predict breast cancer stage and nodal status. Additional study is required on the role of inflammatory molecules in breast cancer development.
机译:背景:目前尚无用于乳腺癌筛查或分期的标准化血液检查。这项研究的目的是使用蛋白质组质谱法对乳腺癌患者的血清蛋白进行概况分析,分级分离和鉴定,以发现阶段和淋巴结状态的新生物标记。研究设计:术前收集150例患者的样本进行乳房活检。使用弱阳离子交换(WCX)分离处理血清,并用基质辅助激光解吸电离飞行时间质谱进行分析。处理光谱,并使用k最近邻遗传算法确定组概况,峰统计量和交叉验证得分。基于阶段,种族和肥胖的亚组库通过WCX分级处理,然后进行胰蛋白酶消化处理。通过串联质谱鉴定差异表达的蛋白质和肽。结果:使用WCX捕获血清蛋白的基质辅助激光解吸电离飞行时间的蛋白质组分析,导致正确的癌症分期从72%到84%不等。通过88%的交叉验证得分可以正确分类节点状态。在III期和IV期癌症样品中,源自激肽原,纤维蛋白原,纤溶酶原和α-胰蛋白酶抑制剂重链4蛋白的内源性低质量肽片段水平升高。添加具有WCX捕获功能的胰蛋白酶消化表明IV期样品中的α-2-HS-糖蛋白,凝血酶原和血清淀粉样蛋白A水平升高。肥胖而非种族是影响检测到的蛋白质/肽相对水平的因素。结论:单独进行WCX分级分离或与血清中的胰蛋白酶消化结合使用,可能可以使用一组蛋白质来预测乳腺癌的分期和淋巴结状态。炎症分子在乳腺癌发展中的作用还需要进一步的研究。

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