Long non‐coding RNAs and their targets as potential biomarkers in breast cancer

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 carci...

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Autores principales:	Maryam Khalid, Rehan Zafar Paracha, Maryum Nisar, Sumaira Malik, Salma Tariq, Iqra Arshad, Amnah Siddiqa, Zamir Hussain, Jamil Ahmad, Amjad Ali
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/a6ca5756444f4a38aebbcf16ebdc6927
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spelling	oai:doaj.org-article:a6ca5756444f4a38aebbcf16ebdc69272021-11-05T12:35:38ZLong non‐coding RNAs and their targets as potential biomarkers in breast cancer1751-88571751-884910.1049/syb2.12020https://doaj.org/article/a6ca5756444f4a38aebbcf16ebdc69272021-09-01T00:00:00Zhttps://doi.org/10.1049/syb2.12020https://doaj.org/toc/1751-8849https://doaj.org/toc/1751-8857Abstract 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.Maryam KhalidRehan Zafar ParachaMaryum NisarSumaira MalikSalma TariqIqra ArshadAmnah SiddiqaZamir HussainJamil AhmadAmjad AliWileyarticleBiology (General)QH301-705.5ENIET Systems Biology, Vol 15, Iss 5, Pp 137-147 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Maryam Khalid Rehan Zafar Paracha Maryum Nisar Sumaira Malik Salma Tariq Iqra Arshad Amnah Siddiqa Zamir Hussain Jamil Ahmad Amjad Ali Long non‐coding RNAs and their targets as potential biomarkers in breast cancer
description	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.
format	article
author	Maryam Khalid Rehan Zafar Paracha Maryum Nisar Sumaira Malik Salma Tariq Iqra Arshad Amnah Siddiqa Zamir Hussain Jamil Ahmad Amjad Ali
author_facet	Maryam Khalid Rehan Zafar Paracha Maryum Nisar Sumaira Malik Salma Tariq Iqra Arshad Amnah Siddiqa Zamir Hussain Jamil Ahmad Amjad Ali
author_sort	Maryam Khalid
title	Long non‐coding RNAs and their targets as potential biomarkers in breast cancer
title_short	Long non‐coding RNAs and their targets as potential biomarkers in breast cancer
title_full	Long non‐coding RNAs and their targets as potential biomarkers in breast cancer
title_fullStr	Long non‐coding RNAs and their targets as potential biomarkers in breast cancer
title_full_unstemmed	Long non‐coding RNAs and their targets as potential biomarkers in breast cancer
title_sort	long non‐coding rnas and their targets as potential biomarkers in breast cancer
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/a6ca5756444f4a38aebbcf16ebdc6927
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Long non‐coding RNAs and their targets as potential biomarkers in breast cancer

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