卵巢浆液性囊腺癌及囊腺瘤的差异蛋白质组学分析 |
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引用本文: | 刘彦红,刘红燕,张立会,田雪红,聂建国. 卵巢浆液性囊腺癌及囊腺瘤的差异蛋白质组学分析[J]. 中国实验诊断学, 2011, 15(6): 1069-1073 |
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作者姓名: | 刘彦红 刘红燕 张立会 田雪红 聂建国 |
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作者单位: | 1. 吉林大学白求恩第一医院,吉林,长春,130021 2. 吉林大学第二医院 3. 内蒙古根河市满归中心卫生院 |
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摘 要: | 目的探讨卵巢浆液性囊腺癌与卵巢浆液性囊腺瘤的差异表达蛋白质谱,从而寻找特异性诊断标志物。方法采用二维液质联用分析技术。结果卵巢浆液性囊腺癌与卵巢浆液性囊腺瘤两组间差异蛋白数共计128个。其中116个蛋白在卵巢浆液性囊腺癌中表达上调,12个蛋白表达下调。结论纤维结合蛋白1,基膜聚糖,核心蛋白多糖,骨诱导因子,微管蛋白A、B,肌动蛋白,肌动蛋白素,角蛋白8,结蛋白,膜联蛋白A1、A2,YWHAZ,踝蛋白1,转酮醇酶1,组织蛋白酶D,X线交错互补修复基因6,谷胱甘肽转移酶,核仁蛋白,抑制素,抗原提呈蛋白1,补体4A等22个差异蛋白在卵巢浆液性囊腺癌中的表达异常为首次报道。这些蛋白将有利于卵巢浆液性囊腺癌及卵巢浆液性囊腺瘤的鉴别诊断。与肿瘤物质和能量代谢异常相关的蛋白质可以用于卵巢癌诊断的代谢组学识别模式的建立。
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关 键 词: | 差异蛋白质组学 二维液质联用 卵巢浆液性囊腺癌 卵巢浆液性囊腺瘤 |
Differential proteomic analysis of ovarian serous cystadenocarcinom and cystadenoma |
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Affiliation: | LIU Yan-hong,LIU Hong-yan,ZHANG Li-hui,et al.(Department of Obstetrics and Gynecology,The First Hospital of Jilin University Norman Bethune,Changchun 130021,China) |
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Abstract: | Objective To identify the different proteins between ovarian serous adenocarcinoma and ovarian serous cystadenoma by proteomics techniques,and to find specific biomarkers.Methods The technique of two-dimensional liquid chromatography-mass spectrometry was used in this experiment.Results A total of 128 differential proteins were identified between ovarian serous adenocarcinoma and ovarian serous cystadenoma.There are 116 proteins over-expressed in ovarian serous adenocarcinoma,and 12 proteins low-expressed in ovarian serous adenocarcinoma.Conclusion Fibronectin 1,Lumican,Decorin,Osteoglycin,Tubulin A、B,Actinin B、 Cofilin,Keratin 8,Desmin,Annexin A1、A2,YWHAZ,Talin 1,Transketolase 1,Cathepsin D,ATP-dependent DNA helicase 6,Glutathione S-transferase,Nucleolin,Prohibitin,Antigen peptide transporter 1,Complement 4A are reported to be abnormal expressed in ovarian serous adenocarcinoma for the first time,Which will be beneficial in the differential diagnosis of ovarian serous cystadenocarcinoma and ovarian serous cystadenoma.The proteins which are related to the abnormal material and energy metabolism can be used to establish metabonomics modeling of diagnosis of ovarian cancer. |
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Keywords: | Differential proteomics two-dimensional liquid chromatography-mass spectrometry ovarian serous adenocarcinoma ovarian serous cystadenoma |
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