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BRAF<sup>V600E</sup>-mutant cancers display a variety of networks by SWIM analysis: prediction of vemurafenib clinical response.

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第一作者： Rosa,Falcone

第一单位： Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy.

作者： Rosa,Falcone ^[1] ; Federica,Conte ^[2] ; Giulia,Fiscon ^[2] ; Valeria,Pecce ^[1] ; Marialuisa,Sponziello ^[1] ; Cosimo,Durante ^[1] ; Lorenzo,Farina ^[3] ; Sebastiano,Filetti ^[1] ; Paola,Paci ^[4] ; Antonella,Verrienti ^[1]

作者单位： Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy. ^[1] Institute for Systems Analysis and Computer Science "Antonio Ruberti", National Research Council, Rome, Italy.;ACT Operations Research, Research & Development, Roma, Italy. ^[2] Department of Computer, Control and Management Engineering, Sapienza University of Rome, Rome, Italy. ^[3] Institute for Systems Analysis and Computer Science "Antonio Ruberti", National Research Council, Rome, Italy. paola.paci@iasi.cnr.it. ^[4]

关键词 BRAF V600E Network medicine Prediction of response Vemurafenib

医学主题词抗肿瘤药(Antineoplastic Agents);人类(Humans);肺肿瘤(Lung Neoplasms);模型, 理论(Models, Theoretical);试验预期值(Predictive Value of Tests);原癌基因蛋白质B-raf(Proto-Oncogene Proteins B-raf);甲状腺肿瘤(Thyroid Neoplasms)

DOI 10.1007/s12020-019-01890-4

PMID 30850937

发布时间 2020-05-11

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准确一般字义偏差语意偏离译文作用小提交