@article{7516356b80cc487ca929a605fdd96362,
title = "Membrane protein-regulated networks across human cancers",
abstract = "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.",
author = "Lin, {Chun Yu} and Lee, {Chia Hwa} and Chuang, {Yi Hsuan} and Lee, {Jung Yu} and Chiu, {Yi Yuan} and {Wu Lee}, {Yan Hwa} and Jong, {Yuh Jyh} and Hwang, {Jenn Kang} and Huang, {Sing Han} and Chen, {Li Ching} and Wu, {Chih Hsiung} and Tu, {Shih Hsin} and Ho, {Yuan Soon} and Yang, {Jinn Moon}",
note = "Funding Information: We are thankful for discussions with Ming-Daw Tsai and Andrew H.-J. Wang in Institute of Biological Chemistry, Academia Sinica (Taiwan). This work was supported by the MOST Joint Research Center for AI Technology and All Vista Healthcare (MOST107-2634-F-009-012 and MOST107-2634-F-002-019 to J.-M.Y.), Ministry of Science and Technology (MOST106-2314-B-038-053-MY3 to S.-H.T.; MOST105- 2320-B-038-053-MY3 and MOST106-2632-B-038-001 to Y.-S.H.), National Health Research Institutes (NHRI-EX105-10504PI to J.-M.Y.), Ministry of Health and Welfare (MOHW106-TDU-B-212-144001 and MOHW107-TDU-B-212-114014 to Y.-S.H.; MOST102-2320-B-038-039-MY3 to C.-H.L), and Center For Intelligent Drug Systems and Smart Bio-devices (IDS2B) (to Y.-H.W.L. and J.-M.Y.) and TMU Research Center of Cancer Translational Medicine (to Y.-S.H.) from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan. This work was also supported by the Taiwan Protein Project (Grant No. AS-KPQ-105-TPP). C.-Y.L. also thanks Tatsuya Akutsu in Bioinformatics Center, Institute for Chemical Research, Kyoto University (Japan), and the JSPS International Research Fellowship (ID: P17353) for support.",
year = "2019",
month = dec,
day = "1",
doi = "10.1038/s41467-019-10920-8",
language = "English",
volume = "10",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "Nature Publishing Group",
number = "1",
}
