Inferences of individual drug responses across diverse cancer types using a novel competing endogenous RNA network-Reference-Cited by-同舟云学术

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Inferences of individual drug responses across diverse cancer types using a novel competing endogenous RNA network

Published:2018-07-14 Issue:9 Volume:12 Page:1429-1446
ISSN:1574-7891
Container-title:Molecular Oncology
language:en
Short-container-title:Mol Oncol

Author:

Zhang Yan¹,Li Xin¹,Zhou Dianshuang¹,Zhi Hui¹,Wang Peng¹,Gao Yue¹,Guo Maoni¹,Yue Ming¹,Wang Yanxia¹,Shen Weitao¹,Ning Shangwei¹,Li Yixue¹²,Li Xia¹

Affiliation:

1. College of Bioinformatics Science and Technology Harbin Medical University China

2. Bioinformatics Center Key Lab of Systems Biology Shanghai Institutes for Biological Sciences Chinese Academy of Sciences Shanghai China

Funder

National Natural Science Foundation of China

Harbin Medical University

Publisher

Wiley

Subject

Cancer Research,Genetics,Molecular Medicine,General Medicine,Oncology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/1878-0261.12181

Reference70 articles.

1. p53 induces formation of NEAT1 lncRNA-containing paraspeckles that modulate replication stress response and chemosensitivity

2. Integrated transcriptional and competitive endogenous RNA networks are cross-regulated in permissive molecular environments

3. Celecoxib, a Selective Cyclo-Oxygenase-2 Inhibitor, Enhances the Response to Preoperative Paclitaxel and Carboplatin in Early-Stage Non–Small-Cell Lung Cancer

4. Network biology: understanding the cell's functional organization

5. MicroRNA-30c inhibits human breast tumour chemotherapy resistance by regulating TWF1 and IL-11

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