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摘要:
Identification of the functional impact of mutated and altered genes in cancer is critical for implementing precision oncology and drug repurposing.In recent years,the emergence of multiomics data from large,well-characterized patient cohorts has provided us with an unprecedented opportunity to address this problem.In this study,we investigated survival-associated genes across 26 cancer types and found that these genes tended to be hub genes and had higher K-core values in biological networks.Moreover,the genes associated with adverse outcomes were mainly enriched in pathways related to genetic information processing and.cellular processes,while the genes with favorable outcomes were enriched in metabolism and immune regulation pathways.We proposed using the number of survival-related neighbors to assess the impact of mutations.In addition,by integrating other databases including the Human Protein Atlas and the DrugBank database,we predicted novel targets and anticancer drugs using the drug repurposing strategy.Our results illustrated the significance of multidimensional analysis of clinical data in important gene identification and drug development.
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篇名 Identification of important genes and drug repurposing based on clinical-centered analysis across human cancers
来源期刊 中国药理学报(英文版) 学科
关键词
年,卷(期) 2021,(2) 所属期刊栏目 Chemotherapy
研究方向 页码范围 282-289
页数 8页 分类号
字数 语种 英文
DOI 10.1038/s41401-020-0451-1
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中国药理学报(英文版)
月刊
1671-4083
31-1347/R
大16开
上海市太原路294号
4-295
1980
eng
出版文献量(篇)
4416
总下载数(次)
2
总被引数(次)
42236
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