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Mutational Analysis of Gastrointestinal Stromal Tumors (GISTs): Procedural Approach for Diagnostic Purposes

机译:胃肠道间质瘤(GIST)的突变分析:用于诊断目的的程序方法

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Background: Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal tumors in the digestive tract characterized, in the majority of cases, by activating mutations in the KIT (v-kit Hardy-Zuckerman 4 feline sarcoma viral oncogene homolog) or PDGFRA (platelet-derived growth factor receptor, alpha polypeptide) genes. Mutations affecting these tyrosine kinase receptors are also responsible for the mechanisms of primary and secondary drug resistance during the treatment with tyrosine kinase inhibitors. We performed mutational analysis to evaluate the pharmacotherapy susceptibility of GISTs, adopting a comprehensive procedural approach, in order to optimize the identification of mutations that may result in cellular resistance to conventional therapy. Materials and Methods: DNA from paraffin-embedded tumor sections from 40 GISTs were analyzed using microdissection, direct sequencing analysis and allelic separation by cloning. Results: KIT mutations were found in 55.0% of the tumor samples. PDGFRA mutations were present in 5.0% of cases. Allelic cloning assay allowed for better definition of the extent of the mutations and clarification of the exact nucleotidic position of complex mutations. Conclusion: Our experience suggests that sequential microdissection, direct sequencing and allelic separation by PCR cloning of large variants may improve the approach to mutational analysis and interpretation of sequence data of KIT and PDGFRA in patients with GIST.
机译:背景:胃肠道间质瘤(GIST)是消化道中最常见的间充质肿瘤,在大多数情况下,其特征在于激活KIT(v-kit Hardy-Zuckerman 4猫肉瘤肉瘤病毒癌基因同源物)或PDGFRA(血小板)的突变衍生的生长因子受体,α多肽)基因。影响这些酪氨酸激酶受体的突变也与酪氨酸激酶抑制剂治疗期间的一级和二级耐药性机制有关。我们进行了突变分析,以评估GIST的药物治疗敏感性,采用了一种综合的程序方法,以优化对可能导致细胞对常规疗法产生耐药性的突变的鉴定。材料与方法:使用显微切割,直接测序分析和通过克隆进行等位基因分离,分析了来自40个GIST的石蜡包埋的肿瘤切片的DNA。结果:在55.0%的肿瘤样本中发现了KIT突变。在5.0%的病例中存在PDGFRA突变。等位基因克隆测定法可以更好地定义突变程度,并澄清复杂突变的确切核苷酸位置。结论:我们的经验表明,通过顺序克隆,大分子变异的PCR克隆直接测序和等位基因分离,可能会改善GIST患者KIT和PDGFRA的突变分析和序列数据的解释方法。

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