摘要
为筛选肺鳞癌的血清标志物,采用二维凝胶电泳(2-DE)技术分离Ⅰ期肺鳞癌患者和健康人的血清蛋白质,PDquest图像分析软件识别差异蛋白质点,电喷雾串联质谱(ESI-Q-TOFMS/MS)鉴定差异蛋白,然后应用蛋白质印迹和免疫组化方法分别检测差异蛋白——结合珠蛋白-2(haptoglobin-2,HP-2)在肺鳞癌患者血清和健康人血清以及肺鳞癌组织和癌旁正常支气管上皮组织中的表达.建立了肺鳞癌患者和健康人血清的2-DE图谱,图像分析软件识别了10个差异蛋白质点,质谱鉴定了4种差异蛋白;蛋白质印迹分析显示,HP-2在肺鳞癌血清中的表达水平显著高于健康人(P<0.05),但其表达水平与肺鳞癌的临床分期无明显相关性;免疫组化结果显示,HP-2在肺鳞癌组织中的表达水平高于癌旁正常支气管上皮组织(P<0.05).研究结果提示:HP-2是候选的肺鳞癌血清分子标志物,血清中HP-2水平对肺鳞癌诊断可能具有一定的参考价值;肺鳞癌组织中HP-2表达上调可能是患者血清中HP-2表达升高的原因之一.
To screen for serum biomarkers for lung squamous carcinoma, two-dimensional gel electrophoresis （2-DE） was performed to separate serum proteins from healthy individuals and stage l lung squamous carcinoma （LSC） patients, respectively. PDquest software was used to analyze 2-DE images, and the differential serum protein spots between the healthy individuals and LSC patients were identified by ESI-Q-TOF MS/MS. Then Western blot and immunohistochemistry were used to detect the expression levels of haptoglobin-2 （HP-2）, one of the differential proteins, in the sera and tumor tissues in the patients with LSC, respectively. 2-DE maps of serum proteins from healthy individuals and stage l LSC patients were established. Ten differential serum protein spots were detected, four proteins of which were identified by MS/MS. Western blot showed that the serum level of liP-2 in the LSC patients was significantly higher than that in healthy individuals, but was not associated with LSC staging. Immunohistochemistry showed that the expression level of HP-2 in the LSC tissues was significantly higher than that in the normal bronchial epithelial tissues adjacent to tumors. The results indicated that serum HP-2 protein is a candidate biomarker for LSC, and might be useful for diagnosis of LSC. Up-regulation of HP-2 in the LSC tissues may contribute to the high serum level of HP-2 in the patients.
出处
《生物化学与生物物理进展》
SCIE
CAS
CSCD
北大核心
2008年第3期349-355,共7页
Progress In Biochemistry and Biophysics
基金
国家重点基础研究发展计划(973)(2001CB510207)
芙蓉学者特聘教授科研奖励基金(湘教通[2007]362号)
教育部跨世纪优秀人才培养计划基金(教育部科技函[2002]48)
湖南省科技厅重大科技专项(04XK1001,05SK1004)资助项目~~
