Yoo Moon-Won, Park Jisook, Han Hye-Seung, Yun Yeo-Min, Kang Jeong Won, Choi Do-Young, Lee Joon Won, Jung Jae Hun, Lee Kyung-Yung, Kim Kwang Pyo
Department of Surgery, Konkuk University School of Medicine, Seoul, Republic of Korea.
Department of Applied Chemistry, College of Applied Sciences, Kyung Hee University, Yong-in City, Republic of Korea.
Proteomics. 2017 Mar;17(6). doi: 10.1002/pmic.201600332.
Current diagnostic markers for gastric cancer are not sufficiently specific or sensitive for use in clinical practice. The aims of this study are to compare the proteomes of serum samples from patients with gastric cancers and normal controls, and to develop useful tumor markers of gastric cancer by quantitative proteomic analysis. We identified a total of 388 proteins with a ≤1% FDR and with at least two unique peptides from the sera of each group. Among them, 215, 251, and 260 proteins were identified in serum samples of patients in an advanced cancer group, early cancer group, and normal control group, respectively. We selected differentially expressed proteins in cancer patients compared with those of normal controls via semiquantitative analyses comparing the spectral counts of identified proteins. These differentially expressed proteins were successfully verified using an MS-based quantitative assay, multiple reactions monitoring analysis. Four proteins (vitronectin, clusterin isoform 1, thrombospondin 1, and tyrosine-protein kinase SRMS) were shown to have significant changes between the cancer groups and the normal control group. These four serum proteins were able to discriminate gastric cancer patients from normal controls with sufficient specificity and selectivity.
目前用于胃癌的诊断标志物在临床实践中特异性或敏感性不足。本研究的目的是比较胃癌患者和正常对照者血清样本的蛋白质组，并通过定量蛋白质组分析开发有用的胃癌肿瘤标志物。我们从每组血清中鉴定出总共388种蛋白质，其错误发现率≤1%且至少有两个独特肽段。其中，晚期癌症组、早期癌症组和正常对照组患者的血清样本中分别鉴定出215、251和260种蛋白质。通过比较已鉴定蛋白质的谱计数的半定量分析，我们选择了与正常对照相比在癌症患者中差异表达的蛋白质。这些差异表达的蛋白质通过基于质谱的定量测定、多反应监测分析成功得到验证。四种蛋白质（玻连蛋白、簇集素同工型1、血小板反应蛋白1和酪氨酸蛋白激酶SRMS）在癌症组和正常对照组之间显示出显著变化。这四种血清蛋白能够以足够的特异性和选择性将胃癌患者与正常对照区分开来。
