Identification of the Key miRNAs and Genes Associated with the Regulation of Non-Small Cell Lung Cancer: A Network-Based Approach

Abstract

Lung cancer is the major cause of cancer-associated deaths across the world in both men and women. Lung cancer consists of two major clinicopathological categories, i.e., small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC). Lack of diagnosis of NSCLC at an early stage in addition to poor prognosis results in ineffective treatment, thus, biomarkers for appropriate diagnosis and exact prognosis of NSCLC need urgent attention. The proposed study aimed to reveal essential microRNAs (miRNAs) involved in the carcinogenesis of NSCLC that probably could act as potential biomarkers. The NSCLC-associated expression datasets revealed 12 differentially expressed miRNAs (DEMs). MiRNA-mRNA network identified key miRNAs and their associated genes, for which functional enrichment analysis was applied. Further, survival and validation analysis for key genes was performed and consequently transcription factors (TFs) were predicted. We obtained twelve miRNAs as common DEMs after assessment of all datasets. Further, four key miRNAs and nine key genes were extracted from significant modules based on the centrality approach. The key genes and miRNAs reported in our study might provide some information for potential biomarkers profitable to increased prognosis and diagnosis of lung cancer.

Identification of Stage-Specific Differentially Expressed Genes and Network Meta-Analysis Reveals Potential Molecular Signatures in Chronic Hepatitis E Virus Infection

“…The miRNA expression is speci cally altered in majority of liver diseases (both acute and chronic), thus miRNAs can exert causal roles (being pro-or anti-in ammatory, as well as pro-or anti brotic mediators or being oncogenes as well as tumor suppressor genes) [73]. Investigations have revealed the role of various signature miRNAs in hepatitis viruses, such as, hepatitis B and hepatitis C, by acting as potential biomarkers in its diagnosis and prognosis [74,75] besides diverse diseases, such as sepsis [Ahmad S, Ahmed MM,] and NSCLC [77]. In this context, we identi ed the hub genes associated miRNAs by constructing the mRNA-miRNA construction network.…”

Analysis of SIGLEC12 expression, immunomodulation and prognostic value in renal cancer using multiomic databases

“…To predict target miRNAs associated with SIGLEC12 , we employed three databases. (1) TargetScan ( https://www.targetscan.org/vert_80/ accessed on September 08, 2023), this algorithm predicts miRNA targets across multiple genomes [ 26 , 27 ]. miRWalk ( http://mirwalk.umm.uni-heidelberg.de , accessed on September 08, 2023), is a Perl-based system that uses computational approach to predict target sites [ 28 ].…”

“…Using the Kaplan–Meier plotter (KM plotter) ( https://kmplot.com/analysis accessed on January 04, 2023), [ 26 , 27 ] to explore the prognostic significance of SIGLEC12 expression in different subtypes of RC. Furthermore, we conducted an analysis of the mutation burden and macrophage effect in the overall survival (OS) of patients, considering specific categories as part of the restricted analysis subtypes.…”

Role of c-Myc in lung cancer: Progress, challenges, and prospects

“…A very recent study that utilized gene ontology and enrichment analysis in examining miRNA sequencing data from NSCLC tumors showed that CPEB3 was a significantly downregulated protein compared to healthy lung. 113 Identifying strategies to reactivate this protein thus could be a promising strategy for targeting c-Myc in lung cancer. In addition to proteins that bind the 3′UTR, there are proteins that bind to coding sequences of mRNA, called coding region instability-binding proteins (CRI-BPs), which act to protect mRNA from endonuclease activity.…”