分子生物标志物在宫颈癌诊断中的重要作用。

Expert opinion on medical diagnostics Pub Date : 2013-07-01 Epub Date: 2013-06-19 DOI:10.1517/17530059.2013.808621
Rogier J N T M Litjens, Anton H N Hopman, Koen K van de Vijver, Frans C S Ramaekers, Roy F P M Kruitwagen, Arnold-Jan Kruse
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引用次数: 35

摘要

预计在不久的将来,一些国家将实施高危人乳头瘤病毒(hr-HPV)检测作为宫颈癌筛查的主要方法。然而,只有一小部分hr-HPV阳性的妇女会有临床相关的病变。因此,迫切需要额外的生物标志物来检测这些病变,同时可以应用于细胞学标本。本文综述了最有前途的细胞学生物标志物。涵盖领域:考虑到它们的分子背景,正在讨论可以使用的细胞学生物标志物。最有希望的生物标志物是p16(INK4a)/Ki-67双免疫染色;细胞粘附分子1 (CADM1)基因和t淋巴细胞成熟相关蛋白(MAL)基因启动子区甲基化与病毒整合详细讨论了它们的敏感性、特异性和局限性,并评估了它们的诊断准确性。专家意见:最有希望用于宫颈癌筛查的细胞学生物标志物是p16(INK4a)/Ki-67双免疫染色、CADM1和MAL的甲基化以及病毒整合。尽管一些生物标记物在这方面很有希望,但没有研究评估这些生物标记物分类或预测结果的准确性。需要更多的临床试验来确定这些有前途的细胞学生物标志物的真正临床价值。
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Molecular biomarkers in cervical cancer diagnosis: a critical appraisal.
INTRODUCTION It is expected that in the near future high-risk human papillomavirus (hr-HPV) testing will be implemented as the primary cervical cancer screening method in some countries. However, only a fraction of hr-HPV positive women will have a clinically relevant lesion. As a result, there is an urgent need for additional biomarkers that can detect these lesions and that can at the same time be applied to cytological specimens. This overview evaluates the most promising cytological biomarkers. AREAS COVERED Cytological biomarkers that can be used are being discussed in view of their molecular background. The most promising biomarkers are p16(INK4a)/Ki-67 dual immunostaining; methylation of the promoter region of the cell adhesion molecule 1 (CADM1) gene and the T-lymphocyte maturation associated protein (MAL) gene and viral integration. Their sensitivity, specificity and limitations are discussed in detail and their diagnostic accuracy is evaluated. EXPERT OPINION The most promising cytological biomarkers for cervical cancer screening are p16(INK4a)/Ki-67 dual immunostaining, methylation of CADM1 and MAL and viral integration. Although some of the biomarkers are very promising for this purpose, no studies have evaluated how accurately these biomarkers classify or predict the outcome. Additional clinical trials are needed to determine the true clinical value of these promising cytological biomarkers.
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