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Deciphering recurrence of glioblastoma for precision medicine using multi-omics data integration

Deciphering recurrence of glioblastoma for precision medicine using multi-omics data integration
利用多组学数据集成破译胶质母细胞瘤的复发以实现精准医疗
批准号:
411363
负责人:
Reimand Jüri
金额:
$16.39万
依托单位国家:
加拿大
项目类别:
Operating Grants
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-09-01 至 2022-09-01

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中文摘要
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英文摘要
Glioblastoma (GBM) is the most lethal form of brain tumor. On average, patients survive only 15 months after diagnosis because most tumors inevitably recur after surgery. Intra-tumor heterogeneity is believed to cause this dismal outcome: GBMs are complex
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Systematic study of regional mutation rates in multiple cancer types to identify the role of chemotherapies in metastasis
Discovery of non-coding driver mutations and pathways in thousands of whole cancer genomes using gene regulatory and long-range chromatin interactions
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