软组织肉瘤基因图谱的经验教训。

M Nilbert, L A Meza-Zepeda, P Francis, J M Berner, H M Namløs, J Fernebro, O Myklebost
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引用次数: 12

摘要

软组织肉瘤是一种异质性的肿瘤,包括50多种组织类型。其中一些肿瘤类型以特定的染色体易位为特征,而其他类型则表现出复杂的遗传畸变。基因表达技术的最新进展已被应用于软组织肉瘤(STS)的研究,初步结果表明遗传特征对分类和诊断是有用的。在胃肠道间质瘤(gist)、滑膜肉瘤、恶性周围神经鞘肿瘤(MPNSTs)和脂肪肉瘤亚群中发现了不同的表达谱。更多形性的肿瘤类型,如平滑肌肉瘤、恶性纤维组织细胞瘤(MFHs)、纤维肉瘤和脂肪肉瘤亚型,在表达谱中表现出更大的变异性,但有趣的是,在这些肿瘤中也可以识别出具有独特表达谱的亚群。现有的数据表明,许多被认为与某种类型STS的发展有关的基因,如GIST发展中的KIT基因,都是最具鉴别性的基因。因此,表达谱分析为STS的发病机制提供了新的见解。尽管验证数据和确定最佳的鉴别基因列表仍有许多工作要做,但目前从STS基因表达研究中得到的教训令人鼓舞,这意味着遗传特征可以作为诊断和预后标记,并可能有助于确定新的治疗策略。
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Lessons from genetic profiling in soft tissue sarcomas.

Soft tissue sarcomas represent a heterogeneous group of tumors and include over 50 histotypes. Some of these tumor types are characterized by specific chromosomal translocations, whereas other types show complex genetic aberrations. The recent developments within gene expression technologies have now been applied to studies of soft tissue sarcomas (STS) and the first results indicate that genetic signatures are useful for classification and diagnosis. Distinctive expression profiles have been found in e.g. gastrointestinal stromal tumors (GISTs), synovial sarcomas, malignant peripheral nerve sheath tumors (MPNSTs), and in subsets of liposarcomas. The more pleomorphic tumor types, such as high-grade variants of leiomyosarcomas, malignant fibrous histiocytomas (MFHs), fibrosarcomas, and subtypes of liposarcomas, show a greater variability among the expression profiles, but interestingly subsets with distinctive expression profiles can be identified also among these tumors. The data available place many of the genes hypothesized to be involved in the development of a certain type of STS, such as the KIT gene in GIST development, among the top discriminating genes. Thereby expression profiling provides novel insights into the pathogenesis of STS. Although much work remains to be done to validate the data and to define optimal discriminating gene lists, the current lessons from gene expression studies in STS are encouraging and imply that genetic signatures may serve as diagnostic and prognostic markers and may help identify novel therapeutic strategies.

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