1. Long non‐coding RNAs and their targets as potential biomarkers in breast cancer
- Author
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Amjad Ali, Zamir Hussain, Sumaira Malik, Salma Tariq, Amnah Siddiqa, Maryum Nisar, Maryam Khalid, Iqra Arshad, Jamil Ahmad, and Rehan Zafar Paracha
- Subjects
Cell signaling ,Microarray ,QH301-705.5 ,Systems biology ,0206 medical engineering ,Breast Neoplasms ,02 engineering and technology ,Computational biology ,Biology ,medicine.disease_cause ,03 medical and health sciences ,Breast cancer ,Genetics ,medicine ,Humans ,Gene Regulatory Networks ,RNA, Messenger ,Biology (General) ,Molecular Biology ,Gene ,030304 developmental biology ,0303 health sciences ,Messenger RNA ,Gene Expression Profiling ,Cancer ,Cell Biology ,medicine.disease ,020601 biomedical engineering ,Gene Expression Regulation ,Modeling and Simulation ,Female ,RNA, Long Noncoding ,Carcinogenesis ,Biomarkers ,Biotechnology - Abstract
Breast cancer is among the lethal types of cancer with a high mortality rate, globally. Its high prevalence can be controlled through improved analysis and identification of disease‐specific biomarkers. Recently, long non‐coding RNAs (lncRNAs) have been reported as key contributors of carcinogenesis and regulate various cellular pathways through post‐transcriptional regulatory mechanisms. The specific aim of this study was to identify the novel interactions of aberrantly expressed genetic components in breast cancer by applying integrative analysis of publicly available expression profiles of both lncRNAs and mRNAs. Differential expression patterns were identified by comparing the breast cancer expression profiles of samples with controls. Significant co‐expression networks were identified through WGCNA analysis. WGCNA is a systems biology approach used to elucidate the pattern of correlation between genes across microarray samples. It is also used to identify the highly correlated modules. The results obtained from this study revealed significantly differentially expressed and co‐expressed lncRNAs and their cis‐ and trans‐regulating mRNA targets which include RP11‐108F13.2 targeting TAF5L, RPL23AP2 targeting CYP4F3, CYP4F8 and AL022324.2 targeting LRP5L, AL022324.3, and Z99916.3, respectively. Moreover, pathway analysis revealed the involvement of identified mRNAs and lncRNAs in major cell signalling pathways, and target mRNAs expression is also validated through cohort data. Thus, the identified lncRNAs and their target mRNAs represent novel biomarkers that could serve as potential therapeutics for breast cancer and their roles could also be further validated through wet labs to employ them as potential therapeutic targets in future.
- Published
- 2021