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The mutational landscape and survival of myelofibrosis patients in Taiwan

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Version 5 2020-09-17, 08:51
Version 4 2020-09-16, 19:20
Version 3 2020-09-16, 19:19
Version 2 2020-09-16, 15:39
Version 1 2020-09-16, 15:21
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posted on 2020-09-17, 08:51 authored by Yu-Hung WangYu-Hung Wang, Chien-Chin Lin, Sze-Hwei Lee, Cheng-Hong Tsai, Shan-Ju Wu, Hsin-An Hou, Tai-Chung Huang, Yuan-Yeh Kuo, Ming-Yao, Koping Chang, Chung-Wu Lin, Yun-Chu Lin, Fen-Ming Tien, Wen-Chien Chou, Jih-Luh Tang, Hwei-Fang Tien
With the advent of next-generation sequencing (NGS) and its wide application in mutation detection in myeloid malignancies, high-risk gene mutations were incorporated in novel prognostic models, including Mutation-Enhanced IPSS 70 (MIPSS70), MIPSS70 plus version 2.0, and Genetically Inspired Prognostic Scoring System (GIPSS). These novel prognostic models applied not only traditional clinical parameters and cytogenetics, but also mutation statuses, underscoring the independent prognostic contribution of the driver and high-molecular risk mutations. In this study, we adopted NGS to delineate the mutational landscape of patients with myelofibrosis in Taiwan and its prognostic impication.

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