Molecular Characterization of Epithelial Ovarian Cancer: Implications for Diagnosis and Treatment.

Molecular Characterization of Epithelial Ovarian Cancer: Implications for Diagnosis and Treatment.
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上皮性卵巢癌的分子特征:对诊断与治疗的意义

DOI:
10.3390/ijms17122113
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发表时间:
2016-12-15
影响因子:
5.6
通讯作者:
Rodriguez-Rodriguez L
Rodriguez-Rodriguez L
中科院分区:
生物学2区
文献类型:
--
作者:
Rojas V;Hirshfield KM;Ganesan S;Rodriguez-Rodriguez L

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上皮性卵巢癌是一种高度异质性疾病,具有多种组织亚型的特点。分子多样性已被证明发生在卵巢上皮癌的特定组织亚型之间,个体患者的不同肿瘤之间,以及个体肿瘤内。上皮性卵巢癌分子特征研究的最新进展为一种简化的分类方案提供了基础,在该方案中,上皮性卵巢癌被分为I型或II型肿瘤,这两类肿瘤对疾病的发病机制和预后有一定的影响。分子分析,主要基于下一代测序,或称为高通量测序,允许进一步细化卵巢癌分类,促进阐明高级别浆液性卵巢癌前体病变的位置(S),并提供对克隆选择和进化过程的洞察,这些过程可能与化疗耐药的发展相关。最近对这些肿瘤的分子图谱研究已经确定了潜在的治疗靶点,一些特定靶向疗法的有效性和安全性已经评估或正在研究中,用于治疗患有这种疾病的妇女。
Epithelial ovarian cancer is a highly heterogeneous disease characterized by multiple histological subtypes. Molecular diversity has been shown to occur within specific histological subtypes of epithelial ovarian cancer, between different tumors of an individual patient, as well as within individual tumors. Recent advances in the molecular characterization of epithelial ovarian cancer tumors have provided the basis for a simplified classification scheme in which these cancers are classified as either type I or type II tumors, and these two categories have implications regarding disease pathogenesis and prognosis. Molecular analyses, primarily based on next-generation sequencing, otherwise known as high-throughput sequencing, are allowing for further refinement of ovarian cancer classification, facilitating the elucidation of the site(s) of precursor lesions of high-grade serous ovarian cancer, and providing insight into the processes of clonal selection and evolution that may be associated with development of chemoresistance. Potential therapeutic targets have been identified from recent molecular profiling studies of these tumors, and the effectiveness and safety of a number of specific targeted therapies have been evaluated or are currently being studied for the treatment of women with this disease.
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