MicroRNAs in Ovarian Cancer
MicroRNAs in Ovarian Cancer
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DOI：
10.1016/j.humpath.2015.06.013
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发表时间：
2015-09-01
期刊：
影响因子：
3.3
通讯作者：
Davidson, Ben
中科院分区：
文献类型：
--
作者：
Katz, Betina;Trope, Claes G.;Davidson, Ben
卵巢癌主要由卵巢癌组成，是妇女中第八大最常见的癌症，也是最致命的妇科恶性肿瘤。努力的重点是确定可能有助于早期诊断和降低死亡率的生物标志物，以及确定治疗靶点的特征，目的是避免化疗耐药和延长晚期疾病的生存期。MicroRNAs （miRNAs）是一种小的非编码rna，可通过转录后调控基因表达，在卵巢癌中发挥重要作用。最近的研究已经确定了多种mirna参与疾病的生物学和进展，并支持mirna作为潜在的生物标志物、预测标志物和预后因素的作用。然而，迄今为止发表的许多研究都存在严重缺陷，影响了数据质量和可重复性，包括将正常卵巢与肿瘤组织进行比较，而没有补偿这两种标本类型中高度差异的靶细胞分数，以及包括不同组织类型的癌、非上皮性肿瘤或非特定组织学的肿瘤。这些缺点突出了病理学家作为团队的一部分，在这样的研究设置的关键作用。这篇综述总结了目前在这一领域的知识，并讨论了mirna在卵巢癌中的潜在临床相关性，重点是对组织选择被认为足够的临床标本的研究。(C) 2015爱思唯尔公司版权所有。
Ovarian cancer, consisting predominantly of ovarian carcinoma, is the eighth most common cancer in women and the most lethal gynecologic malignancy. Efforts focus on identifying biomarkers which may aid in early diagnosis and reduce mortality, as well as on characterizing therapeutic targets with the aim of circumventing chemoresistance and prolonging survival at advanced-stage disease. MicroRNAs (miRNAs) are small, non-coding RNAs that post-transcriptionally regulate gene expression, and have been found to play an important role in ovarian carcinoma. Recent research has identified multiple miRNAs involved in the biology and progression of the disease, and supports a role for miRNAs as potential biomarkers, predictive markers and prognostic factors. Many of the studies published to date nevertheless suffer from critical weaknesses which affect data quality and reproducibility, including the comparison of normal ovaries to tumor tissue without compensation for the highly discrepant target cell fraction in these two specimen types and the inclusion of carcinomas of different histotypes, non-epithelial tumors or tumors of non-specified histology. These shortcomings highlight the critical role of pathologists as part of the team in the setting of such research. This review summarizes current knowledge in this area and discusses the potential clinical relevance of miRNAs in ovarian carcinoma, with focus on studies of clinical specimens in which tissue selection has been deemed adequate. (C) 2015 Elsevier Inc. All rights reserved.