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宫颈癌前病变中的功能生物标志物:综述

Functional biomarkers in cervical precancer: an overview.

作者信息

Gupta Nalini, Srinivasan Radhika, Rajwanshi Arvind

机构信息

Department of Cytopathology and Gynecologic Pathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.

出版信息

Diagn Cytopathol. 2010 Aug;38(8):618-23. doi: 10.1002/dc.21270.

Abstract

Cervical cancer develops over a long time through precursor lesions that can be detected by cytological screening. Majority of these lesions regress spontaneously. Therefore, the challenge of cervical cancer screening is to detect the lesions that have a high risk of progression. Several promising biomarkers have been described that may improve screening of cervical cancer, but to date, new biomarkers have not been thoroughly validated in high-quality studies. The knowledge about human papillomavirus as a causative agent of cervical cancer has accumulated over the last decades has opened the possibility to improve the existing prevention strategies and screening practices. p16 has amply been applied on cytologic samples and has been shown to be a promising marker especially in identification of high-grade dysplasia. ProEx C, a replication marker, has also been recently shown to be a good marker for identification of high-grade dysplasia and has been used on cytologic samples. Proliferation markers such as MYC, Ki67, telomerase, MCM, topoisomerase 2A and 3q amplification by in situ hybridization technique are other methods being employed in identification of high-grade dysplasia. However, currently available data on most of the biomarkers does not warrant their routine use yet. This review highlights the major findings of previous studies on cervical cancer biomarkers.

摘要

宫颈癌是通过可通过细胞学筛查检测到的前驱病变在很长一段时间内发展而来的。这些病变中的大多数会自发消退。因此,宫颈癌筛查的挑战在于检测出具有高进展风险的病变。已经描述了几种有前景的生物标志物,它们可能会改善宫颈癌的筛查,但迄今为止,新的生物标志物尚未在高质量研究中得到充分验证。在过去几十年中积累的关于人乳头瘤病毒作为宫颈癌致病因素的知识,为改进现有预防策略和筛查实践提供了可能性。p16已广泛应用于细胞学样本,并已被证明是一种有前景的标志物,尤其是在识别高级别发育异常方面。ProEx C是一种复制标志物,最近也被证明是识别高级别发育异常的良好标志物,并已用于细胞学样本。增殖标志物如MYC、Ki67、端粒酶、微小染色体维持蛋白、拓扑异构酶2A以及通过原位杂交技术检测的3q扩增,是用于识别高级别发育异常的其他方法。然而,目前关于大多数生物标志物的现有数据尚不支持它们的常规使用。本综述强调了先前关于宫颈癌生物标志物研究的主要发现。

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