Proteomic analysis of progressive factors in uterine cervical cancer

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 m...

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Veröffentlicht in:Proteomics (Weinheim) 2005-04, Vol.5 (6), p.1481-1493
Hauptverfasser: Choi, Yoon Pyo, Kang, Suki, Hong, Sunghee, Xie, Xianhe, Cho, Nam Hoon
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container_issue 6
container_start_page 1481
container_title Proteomics (Weinheim)
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creator Choi, Yoon Pyo
Kang, Suki
Hong, Sunghee
Xie, Xianhe
Cho, Nam Hoon
description 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.
doi_str_mv 10.1002/pmic.200401021
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subjects Adult
Aged
Amino Acid Sequence
Analytical, structural and metabolic biochemistry
Biological and medical sciences
Biomarkers, Tumor - metabolism
Carcinoma, Large Cell - metabolism
Carcinoma, Large Cell - virology
Carcinoma, Squamous Cell - metabolism
Carcinoma, Squamous Cell - virology
Cell Line
Cell Proliferation
Differential expression protein
Electrophoresis, Gel, Two-Dimensional
Female
Female genital diseases
Fundamental and applied biological sciences. Psychology
Genotype
Gynecology. Andrology. Obstetrics
Human papillomavirus
Human uterine cervical cancer
Humans
Matrix-assisted laser desorption/ionization-time of flight mass spectrometry
Medical sciences
Middle Aged
Miscellaneous
Molecular Sequence Data
Oncogene Proteins - metabolism
Papillomaviridae - genetics
Papillomavirus Infections - metabolism
Papillomavirus Infections - virology
Proteins
Proteome - metabolism
Proto-Oncogene Proteins - metabolism
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Tumors
Two-dimensional gel electrophoresis
Uterine Cervical Neoplasms - metabolism
Uterine Cervical Neoplasms - virology
title Proteomic analysis of progressive factors in uterine cervical cancer
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