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食管癌淋巴结转移的蛋白质组学
引用本文:冯笑山,王立东,单探幽,郭涛,李吉林,范宗民,焦新英,常智慧,高社干,韩晶,宋昕,申秋,樊慧,王能超,李韶华,高珊珊,何欣,郭军辉,刘宝池.食管癌淋巴结转移的蛋白质组学[J].郑州大学学报(医学版),2007,42(3):397-399.
作者姓名:冯笑山  王立东  单探幽  郭涛  李吉林  范宗民  焦新英  常智慧  高社干  韩晶  宋昕  申秋  樊慧  王能超  李韶华  高珊珊  何欣  郭军辉  刘宝池
作者单位:1. 河南省食管癌重点开放实验室,郑州大学基础医学院,郑州,450052;河南科技大学第一附属医院肿瘤科,河南科技大学肿瘤研究所,洛阳,471003
2. 河南省食管癌重点开放实验室,郑州大学基础医学院,郑州,450052
3. 河南科技大学第一附属医院肿瘤科,河南科技大学肿瘤研究所,洛阳,471003
4. 林州市姚村食管癌医院病理科,林州,456592
5. 林州市中心医院病理科,林州,456550
基金项目:河南省医学科技人才创新工程项目 , 国家自然科学基金 , 国家高技术研究发展计划(863计划)
摘    要:目的:对河南省林州地区食管癌高发区食管鳞癌患者(食管癌组)和健康人血清(对照组)蛋白质组进行比较研究,确立食管癌的蛋白质指纹诊断模型,并筛选与食管癌淋巴结转移相关的蛋白质.方法:采用IMAC3芯片及表面增强激光解吸电离飞行时间质谱技术(SELDI-TOF-MS)检测61例食管癌患者和50例健康人血清,用Bio-Marker Wizard软件对芯片检测得到的蛋白质相对含量进行处理及方差分析.并对25例发生淋巴结转移的食管癌患者(转移组),36例无淋巴结转移患者(未转移组)与对照组进行了对比分析.结果:以相对分子质量(Mr)为9 439.58、6 627.21、2 867.65、4 494.08、7 762.68、6 835.32、4 095.94 7种蛋白质组建立的决策树模型,对食管癌测试的准确率、敏感度和特异度分别为85.6%、88.5%和82.0%.转移组、未转移组与对照组3组相比,有15种蛋白差异有统计学意义.其中转移组和未转移组相比有2种蛋白差异有统计学意义(Mr分别为11 742.48、9 294.44).结论:以上述7种蛋白质建立的诊断模型用于食管癌的诊断,具有较高灵敏度和特异度;筛选出2种与食管癌转移密切相关蛋白质,后者为进一步建立食管癌转移相关肿瘤标志物提供了重要线索.

关 键 词:表面增强激光解吸电离飞行时间质谱技术  食管肿瘤  鳞状细胞癌  淋巴结转移  蛋白质组学
收稿时间:2007-02-06
修稿时间:2007-02-06

Proteomic analysis on esophageal cancer with lymph node metastasis
FENG Xiaoshan,WANG Lidong,SHAN Tanyou,GUO Tao,LI Jilin,FAN Zongmin,JIAO Xinying,CHANG Zhihui,GAO Shegan,HAN Jing,SONG Xin,SHEN Qiu,FAN Hui,WANG Nengchao,LI Shaohua,GAO Shanshan,HE Xin,GUO Junhui,LIU Baochi.Proteomic analysis on esophageal cancer with lymph node metastasis[J].Journal of Zhengzhou University: Med Sci,2007,42(3):397-399.
Authors:FENG Xiaoshan  WANG Lidong  SHAN Tanyou  GUO Tao  LI Jilin  FAN Zongmin  JIAO Xinying  CHANG Zhihui  GAO Shegan  HAN Jing  SONG Xin  SHEN Qiu  FAN Hui  WANG Nengchao  LI Shaohua  GAO Shanshan  HE Xin  GUO Junhui  LIU Baochi
Institution:1 Henan Key Laboratory for Esophageal Cancer, College of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450052 ;2 Department of Oncology, The First Affiliated Hospital of Henan University of Science and Technology ; Cancer Institute, Henan University of Science and Technology, Luoyang 471003 ;3 Department of Pathology, Yaocun Esophageal Cancer Hospital, Linzhou 456592 ;4 Department of Pathology, Linzhou Central Hospital, Linzhou 456550
Abstract:Aim: To establish the proteomic model for esophageal cancer (EC) diagnosis and to identify the biomarker associated with lymph node metastasis through proteomic analysis on serum from esophageal squamous cell carcinoma (SCC) patients and healthy control. Methods:IMAC3 chips and SELDI-TOF-MS methods were applied to serum samples from SCC patients (n=61) and healthy control (n=50). The proteomic data were analyzed by BioMarker Wizard Software. The proteomic analysis was also performed on serum from SCC patients with lymph node metastasis (n=25) and those without lymph node metastasis (n=36).Results: Seven tumor markers (Mr=9 439.58, 6 627.21, 2 867.65, 4 494.08, 7 762.68, 6 835.32 and 4 095.94) were identified to discriminate the patients with EC and healthy control with veracity, sensitivity and specificity of 85.6%, 88.5% and 82.0%, respectively. There were 15 different proteins in the patients with and without lymph nodes metastasis and healthy control. Two different proteins (Mr=11 742.48 and 9 294.44) were verified to discriminate SCC patients with and without lymph node metastasis.Conclusion: Diagnosis model with seven protein markers has higher sensitivity and specificity for SCC. The proteins (Mr=11 742.48 and 9 294.44) may be related with EC metastasis, which provides important clues for establishing EC metastasis associated biomarkers.
Keywords:SELDI-TOF-MS  esophageal neoplasm  squamous cell carcinoma  lymph node metastasis  proteomics
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