MicroRNAs(miRNAs), as non-coding molecules, were proved to be correlated with gene expression in naspharyngeal carcinoma (NPC) development. In this research, a comprehensive meta-analysis of eight independent miRNA expression studies in NPC was preformed by using robust rank aggregation method (RRA), which contained a total of 775 tumor and 227 non-cancerous samples. There were 7 significant dysregulated miRNAs identified including three increased (miR-483-5p, miR-29c-3p and miR-205-5p) and four decreased (miR-29b-3p, let-7d-5p, miR-100- 5p and let-7g-5p) miRNAs. Subsequently, the miRNA target prediction and pathway enrichment analysis were carried out to find out the biological and functional relevant genes involved in the meta-signature miRNA regulation. Finally, several signaling and cancer pathogenesis pathways were suggested to be more frequently associated with the progression of NPC. In this research the meta-signature miRNA identified may be used to develop a series of diagnostic and prognostic biomarkers for NPC that serve specificity for use in clinics.
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http://dx.doi.org/10.18632/oncotarget.7013 | DOI Listing |
J Assist Reprod Genet
May 2024
Department of Zoology, School of Sciences, Gujarat University, Ahmedabad, Gujarat, India.
Purpose: Gene expression analysis of the endometrium has been shown to be a useful approach for identifying the molecular signatures and pathways involved in recurrent implantation failure (RIF). Nevertheless, individual studies have limitations in terms of study design, methodology and analysis to detect minor changes in expression levels or identify novel gene signatures associated with RIF.
Method: To overcome this, we conducted an in silico meta-analysis of nine studies, the systematic collection and integration of gene expression data, utilizing rigorous selection criteria and statistical techniques to ensure the robustness of our findings.
Oral Dis
May 2023
Faculty of Biology, University of Belgrade, Belgrade, Serbia.
Objectives: This study aimed to experimentally validate dysregulated expression of miRNA candidates selected through updated meta-analysis of most commonly deregulated miRNAs in oral cancer and to explore their diagnostic and prognostic potential.
Materials And Methods: Five miRNAs (miR-31-3p, miR-135b-5p, miR-18a-5p, miR-30a-5p and miR-139-5p) from updated meta-signature were selected for validation by qRT-PCR method in 35 oral cancer clinical specimens and adjacent non-cancerous tissue.
Results: Updated meta-analysis has identified 13 most commonly deregulated miRNAs in oral cancer.
Heliyon
February 2022
Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing, and Health Sciences, Monash University, Clayton, 3168, Australia.
Background: MicroRNAs (miRNAs) are sought-after biomarkers of complex, polygenic diseases such as type 2 diabetes (T2D). Data-driven biocomputing provides robust and novel avenues for synthesizing evidence from individual miRNA seq studies.
Objective: To identify miRNA markers associated with T2D, via a data-driven, biocomputing approach on high throughput transcriptomics.
Sci Rep
January 2022
Department of Neurology, Firoozgar Hospital, School of Medicine, Iran University of Medical Science, Tehran, Iran.
Amyotrophic lateral sclerosis (ALS) is a lethal neurodegenerative disease that in most cases occurs sporadic (sALS). The disease is not curable, and its pathogenesis mechanisms are not well understood yet. Given the intricacy of underlying molecular interactions and heterogeneity of ALS, the discovery of molecules contributing to disease onset and progression will open a new avenue for advancement in early diagnosis and therapeutic intervention.
View Article and Find Full Text PDFHeart Fail Rev
July 2021
Applied Physiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical, Isfahan, Iran.
Heart failure (HF) is a major consequence of many cardiovascular diseases with high rate of morbidity and mortality. Early diagnosis and prevention are hampered by the lack of informative biomarkers. The aim of this study was to perform a meta-analysis of the miRNA expression profiling studies in HF to identify novel candidate biomarkers or/and therapeutic targets.
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