Differential proteins among normal cervix cells and cervical cancer cells with HPV-16 infection, through mass spectrometry-based Proteomics (2D-DIGE) in women from Southern México.

Differential proteins among normal cervix cells and cervical cancer cells with HPV-16 infection, through mass spectrometry-based Proteomics (2D-DIGE) in women from Southern México.
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DOI:
10.1186/s12953-016-0099-4
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发表时间:
2016
期刊:
影响因子:
2
通讯作者:
Alarcón-Romero Ldel C
Alarcón-Romero Ldel C
中科院分区:
生物学4区
文献类型:
--
作者:
Serafín-Higuera I;Garibay-Cerdenares OL;Illades-Aguiar B;Flores-Alfaro E;Jiménez-López MA;Sierra-Martínez P;Alarcón-Romero Ldel C

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子宫颈癌(CC)是全球女性第四大常见癌症,2012年估计有528,000例新发病例。同年,梅西科的发病率为13 960例,死亡率为4 769例。CC有几种诊断方法;其中最常见的是传统的巴氏细胞学(Pap),阴道镜检查和醋酸目视检查(VIA),组织病理学检查,成像测试和分子检测(PCR,杂交,测序)检测高危乳头状瘤病毒(HR-HPV)。蛋白质组学是一种检测新的生物标志物的工具,这些生物标志物可能与临床分期、组织学类型、预后和/或对治疗的反应相关。在这项研究中,我们进行了CC细胞与正常宫颈细胞的比较分析。采用荧光双向电泳(2D-DIGE)技术进行蛋白质组学分析,随后使用Decyder软件鉴定差异蛋白质谱,并通过质谱(MALDI-TOF)鉴定所选蛋白质。与正常宫颈细胞相比,宫颈癌中表达增加的蛋白质是:Mimecan、来自主动脉平滑肌的肌动蛋白和Lumican。而角蛋白、II型细胞骨架5、过氧化物酶氧还蛋白-1和14-3-3蛋白σ在宫颈癌中的表达水平与正常宫颈细胞相比有所降低。因此,这项研究成功地鉴定了宫颈癌的生物标志物特征,并可能为CC进展的机制提供新的见解。
Cervical cancer (CC) is the fourth most common cancer in women worldwide with an estimated 528,000 new cases in 2012. The same year México had an incidence of 13,960 and a mortality of 4769 cases. There are several diagnosis methods of CC; among the most frequents are the conventional Pap cytology (Pap), colposcopy, and visual inspection with acetic acid (VIA), histopathological examination, tests of imaging and detection of high-risk papilloma virus (HR-HPV) with molecular tests (PCR, hybridization, sequencing). Proteomics is a tool for the detection of new biomarkers that can be associated with clinical stage, histological type, prognosis, and/or response to treatment. In this study we performed a comparative analysis of CC cells with normal cervical cells. The proteomic analysis was carried out with the fluorescent two-dimensional electrophoresis (2D-DIGE) technique to subsequently identify differential protein profiles using Decyder Software, and the selected proteins were identified by Mass Spectrometry (MALDI-TOF). The proteins that showed an increased expression in cervical cancer in comparison with normal cervix cells were: Mimecan, Actin from aortic smooth muscle and Lumican. While Keratin, type II cytoskeletal 5, Peroxiredoxin-1 and 14-3-3 protein sigma showed a decrease in their protein expression level in cervical cancer in comparison with normal cervix cells. Thus, this study was successful in identifying biomarker signatures for cervical cancer, and might provide new insights into the mechanism of CC progression.
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