4.8 Article

Membrane protein-regulated networks across human cancers

期刊

NATURE COMMUNICATIONS
卷 10, 期 -, 页码 -

出版社

NATURE RESEARCH
DOI: 10.1038/s41467-019-10920-8

关键词

-

资金

  1. MOST Joint Research Center for AI Technology and All Vista Healthcare [MOST107-2634-F-009-012, MOST107-2634-F-002-019]
  2. Ministry of Science and Technology [MOST106-2314-B-038-053-MY3, MOST105-2320-B-038-053-MY3, MOST106-2632-B-038-001]
  3. National Health Research Institutes [NHRI-EX105-10504PI]
  4. Ministry of Health and Welfare [MOHW106-TDU-B-212-144001, MOHW107-TDU-B-212-114014, MOST102-2320-B-038-039-MY3]
  5. Center For Intelligent Drug Systems and Smart Bio-devices (IDS2B)
  6. TMU Research Center of Cancer Translational Medicine from The Featured Areas Research Center Program
  7. Taiwan Protein Project [AS-KPQ-105-TPP]
  8. JSPS International Research Fellowship [P17353]

向作者/读者索取更多资源

Alterations in membrane proteins (MPs) and their regulated pathways have been established as cancer hallmarks and extensively targeted in clinical applications. However, the analysis of MP-interacting proteins and downstream pathways across human malignancies remains challenging. Here, we present a systematically integrated method to generate a resource of cancer membrane protein-regulated networks (CaMPNets), containing 63,746 high-confidence protein-protein interactions (PPIs) for 1962 MPs, using expression profiles from 5922 tumors with overall survival outcomes across 15 human cancers. Comprehensive analysis of CaMPNets links MP partner communities and regulated pathways to provide MP-based gene sets for identifying prognostic biomarkers and druggable targets. For example, we identify CHRNA9 with 12 PPIs (e.g., ERBB2) can be a therapeutic target and find its anti-metastasis agent, bupropion, for treatment in nicotine-induced breast cancer. This resource is a study to systematically integrate MP interactions, genomics, and clinical outcomes for helping illuminate cancer-wide atlas and prognostic landscapes in tumor homo/heterogeneity.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据