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  4. Stratification of lncRNA modulation networks in breast cancer
 
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Stratification of lncRNA modulation networks in breast cancer

Journal
BMC Medical Genomics
Journal Volume
14
Journal Issue
Art. No. 300
Date Issued
2021-11-01
Author(s)
Yu, Wen Hsuan
CHIA-LANG HSU  
Lin, Chen Ching
Oyang, Yen-Jen  
HSUEH-FEN JUAN  
Huang, Hsuan Cheng
DOI
10.1186/s12920-022-01236-6
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129339370&doi=10.1186%2fs12920-022-01236-6&partnerID=40&md5=2886607864dd6d97ae0ac2fa9bf1faa1
URL
https://api.elsevier.com/content/abstract/scopus_id/85129339370
Abstract
Background: Recently, non-coding RNAs are of growing interest, and more scientists attach importance to research on their functions. Long non-coding RNAs (lncRNAs) are defined as non-protein coding transcripts longer than 200 nucleotides. We already knew that lncRNAs are related to cancers and will be dysregulated in them. But most of their functions are still left to further study. A mechanism of RNA regulation, known as competing endogenous RNAs (ceRNAs), has been proposed to explain the complex relationships among mRNAs and lncRNAs by competing for binding with shared microRNAs (miRNAs). Methods: We proposed an analysis framework to construct the association networks among lncRNA, mRNA, and miRNAs based on their expression patterns and decipher their network modules. Results: We collected a large-scale gene expression dataset of 1,061 samples from breast invasive carcinoma (BRCA) patients, each consisted of the expression profiles of 4,359 lncRNAs, 16,517 mRNAs, and 534 miRNAs, and applied the proposed analysis approach to interrogate them. We have uncovered the underlying ceRNA modules and the key modulatory lncRNAs for different subtypes of breast cancer. Conclusions: We proposed a modulatory analysis to infer the ceRNA effects among mRNAs and lncRNAs and performed functional analysis to reveal the plausible mechanisms of lncRNA modulation in the four breast cancer subtypes. Our results might provide new directions for breast cancer therapeutics and the proposed method could be readily applied to other diseases.
Subjects
Association network | Breast cancer | Gene co-expression network | Long non-coding RNA
SDGs

[SDGs]SDG3

Other Subjects
long untranslated RNA; microRNA; long untranslated RNA; messenger RNA; microRNA; Article; breast cancer; cohort analysis; gene expression; gene expression profiling; genetic association; human; invasive breast cancer; major clinical study; protein protein interaction; breast tumor; female; gene expression regulation; gene regulatory network; genetics; metabolism; Breast Neoplasms; Female; Gene Expression Regulation, Neoplastic; Gene Regulatory Networks; Humans; MicroRNAs; RNA, Long Noncoding; RNA, Messenger
Publisher
BioMed Central Ltd
Type
journal article

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