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BRAF wild wild papillary thyroid carcinoma has two distinct mRNA expression patterns with different clinical behaviors

机译:BRAF野性野性乳头状甲状腺癌有两个不同的mRNA表达模式,具有不同的临床行为

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Abstract Background Using a large set of genomic data from The Cancer Genome Atlas (TCGA), we classified BRAF wild papillary thyroid carcinomas (PTCs) into 2 subtypes with distinct molecular patterns and different clinical behaviors. We also suggested gene signatures (RAS‐score) to predict molecular subtypes and clinical behaviors of BRAF wild PTC. Method Integrated genomic analysis was done using all genomic data of PTC in TCGA data portal ( https://tcga‐data.nci.nih.gov ) and cancer browser ( https://genome‐cancer.ucsc.edu ). Using Gene Ontology and a logistic regression test, we selected gene signatures (RAS‐score) and applied this prediction model to the validation cohort (GSE60542). Result When we performed multiplatform genomic analysis, BRAF wild PTCs were divided into 2 molecular subtypes. Each subtype showed distinct molecular patterns and clinical behaviors. Gene signatures successfully predicted molecular subtype in another validation cohort. Conclusion We found that BRAF wild PTCs were divided into 2 molecular subtypes and each subtype showed distinct molecular patterns, different activated pathways, and different clinical behaviors.
机译:摘要背景,使用来自癌症基因组阿特拉斯(TCGA)的大集基因组数据(TCGA),将BRAF野乳头状甲状腺癌(PTC)分为2个亚型,具有不同的分子模式和不同的临床行为。我们还建议基因签名(RAS评分)预测BRAF野生PTC的分子亚型和临床行为。方法综合基因组分析是使用TCGA数据门户网站(HTTPS://TCGA-DATA.nci.nih.gov)和癌症浏览器(https:/genome-cancer.ucsc.edu)的所有基因组数据进行。使用基因本体和逻辑回归测试,我们选择了基因签名(RAS-得分)并将该预测模型应用于验证队列(GSE60542)。结果当我们进行多层格子基因组分析时,BRAF野生PTC分为2个分子亚型。每种亚型显示出不同的分子模式和临床行为。基因签名在另一种验证队列中成功预测了分子亚型。结论我们发现BRAF野生PTC分为2个分子亚型,每种亚型显示不同的分子模式,不同的活化途径和不同的临床行为。

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