Proteornic analysis of progressive factors in uterine cervical cancer
Proteornic analysis of progressive factors in uterine cervical cancer
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DOI：
10.1002/pmic.200401021
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发表时间：
2005-04-01
期刊：
影响因子：
3.4
通讯作者：
Cho, NH
中科院分区：
文献类型：
--
作者：
Choi, YP;Kang, S;Cho, NH
人乳头瘤病毒（HPV）感染在宫颈癌的发展中起着至关重要的作用。高危型HPV通常与恶性病变的发展有关。一些最新的研究表明，高危HPV 16和18主要在更具侵袭性的癌症中检测到。本研究采用双向凝胶电泳（2-DE）和基质辅助激光解吸/电离飞行时间质谱（MALDI-TOF MS）技术，建立了肿瘤相关蛋白质组学图谱，并对肿瘤相关蛋白质进行了鉴定。对于蛋白质组学分析，本研究包括HPV 16或18感染的患者。我们用亚细胞组分分别比较了核蛋白和胞质蛋白。采用双向电泳技术对高危型HPV、HPV 16或HPV 18感染的宫颈癌细胞株与HaCaT细胞株之间的差异蛋白质点进行鉴定。基于MALDI-TOF MS和数据库检索的肽质量指纹分析表明，这些蛋白质是癌基因或原癌基因的产物，其他蛋白质参与细胞周期的调控，一般基因组的稳定性，端粒酶激活和细胞永生化。然而，HPV 16和HPV 18感染之间的宫颈癌蛋白特征没有差异。尽管如此，这些数据是有价值的质量鉴定差异表达的蛋白质参与人类子宫颈癌。此外，这些数据对于建立人类宫颈癌蛋白质组数据库具有巨大的价值，该数据库可用于筛选人类宫颈癌的进一步研究的分子标志物，并且还可用于研究HPV诱发的癌症之间的任何相关性。
Human papillomavirus (HPV) infections play a crucial role in the progress of cervical cancer. The high-risk HPV types are frequently associated with the development of malignant lesions. Some of the latest studies have demonstrated that the high-risk HPV 16 and 18 are predominantly detected in the more aggressive cancers. In the present study, we aimed to establish the proteomic profiles and characterization of the tumor related proteins by using two-dimensional gel electrophoresis (2-DE) and matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS). For proteomic analysis, patients infected by HPV 16 or 18 were included in this study. We compared nuclear protein and cytoplasmic protein, separately by using the subcellular fraction. Differential protein spots between cervical cancer with high-risk HPV, HPV 16 or HPV 18, and HaCaT cell lines were characterized by 2-DE. Those proteins analyzed by peptide mass fingerprinting based on MALDI-TOF MS and database searching were the products of oncogenes or proto-oncogenes, and the others were involved in the regulation of cell cycle, for general genomic stability, telomerase activation, and cell immortalization. However, there was no difference in protein characterization for cervical cancer between HPV 16 and HPV 18 infection. Nonetheless, these data are valuable for the mass identification of differentially expressed proteins involved in human uterine cervical cancer. Moreover, the data has enormous value for establishing the human uterine cervical cancer proteome database that can be used in screening a molecular marker for the further study of human uterine cervical cancer, and also for studying any correlation among the cancers induced by HPV.