MicroRNAs and their target mRNAs as potential biomarkers among smokers and non‐smokers with lung adenocarcinoma. Issue 2 (8th March 2019)

• Record Type: Journal Article
• Authors: Malik, Sumaria; Zafar Paracha, Rehan; Khalid, Maryam; Nisar, Maryum; Siddiqa, Amnah; Hussain, Zamir; Nawaz, Raheel; Ali, Amjad; Ahmad, Jamil
• Is Part Of: IET systems biology. Volume 13:Issue 2(2019)
• Page Start: 69
• Page End: 76
• Publication Date: 2019-03-08
• Subjects: cancer -- molecular biophysics -- patient diagnosis -- tumours -- RNA -- proteins -- lung -- genetics -- medical diagnostic computing -- molecular configurations; miRNAs expression profiles -- mRNAs expression profiles -- smokers -- nonsmokers -- integrative analysis -- lung adenocarcinoma -- microRNAs -- disease specific biomarkers -- noncoding regulators -- genetic abnormalities -- weighted gene coexpression network analysis; Systems biology -- Periodicals; Cell physiology -- Periodicals; Biological systems -- Mathematical models -- Periodicals; Genetics -- Mathematical models -- Periodicals; Computational biology -- Periodicals; 573
• DOI: 10.1049/iet-syb.2018.5040
• Languages: English
• ISSNs: 1751-8849

Abstract

Abstract : Lung adenocarcinoma is one of the major causes of mortality. Current methods of diagnosis can be improved through identification of disease specific biomarkers. MicroRNAs are small non‐coding regulators of gene expression, which can be potential biomarkers in various diseases. Thus, the main objective of this study was to gain mechanistic insights into genetic abnormalities occurring in lung adenocarcinoma by implementing an integrative analysis of miRNAs and mRNAs expression profiles in the case of both smokers and non‐smokers. Differential expression was analysed by comparing publicly available lung adenocarcinoma samples with controls. Furthermore, weighted gene co‐expression network analysis is performed which revealed mRNAs and miRNAs significantly correlated with lung adenocarcinoma. Moreover, an integrative analysis resulted in identification of several miRNA–mRNA pairs which were significantly dysregulated in non‐smokers with lung adenocarcinoma. Also two pairs (miR‐133b/Protein Kinase C Zeta (PRKCZ) and miR‐557/STEAP3) were found specifically dysregulated in smokers. Pathway analysis further revealed their role in important signalling pathways including cell cycle. This analysis has not only increased the authors' understanding about lung adenocarcinoma but also proposed potential biomarkers. However, further wet laboratory studies are required for the validation of these potential biomarkers which can be used to diagnose lung adenocarcinoma.