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Background: Recent studies have extensively investigated the roles of miR-106 in colorectal cancer (CRC). However, the associations and molecular mechanism underlying the roles of miR-106 in CRC remain unclear. We aimed to thoroughly investigate the biomarker roles of miR-106 for predicting the risk and survival outcome in CRC.
Methods: We first conducted a comprehensive meta-analysis to quantitatively evaluate the roles of miR-106 in the diagnosis and prognosis of CRC. Then, we qualitatively explored the biomarker roles of miR-106 in CRC through an integrative bioinformatics analysis.
Results: The results indicated that miR-106 yielded a combined AUC of 0.79 (95% CI: 0.76-0.83), with a pooled sensitivity of 0.50 (95% CI: 0.32-0.68) and a pooled specificity of 0.93 (95% CI: 0.79-0.98) for discriminating CRC cases from normal controls. Moreover, patients with higher expression of miR-106 were significantly associated with shorter disease-free survival (HR: 1.73; 95%CI: 1.23-2.44) and overall survival (HR: 1.39; 95%CI: 1.09-1.77). Finally, gene ontology and pathway analysis demonstrated that miR-106 family was highly involved in the initiation and progression of CRC and indicated the potential molecular mechanism for miR-106 in CRC.
Conclusions: Our results indicated that miR-106 showed promising potential as diagnostic and prognostic biomarker for CRC. Nevertheless, the underlying molecular mechanism of miR-106 family involved in CRC requires further investigation.
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http://dx.doi.org/10.1186/s12885-020-06863-9 | DOI Listing |
BMC Genomics
July 2025
Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, 214081, China.
Fish transportation, a routine operation in aquaculture, can induce immune responses in fish, potentially affecting their health. Nevertheless, the immune response mechanisms involved in microRNAs (miRNAs) under transport stress remain unclear. Therefore, we investigated the immune response strategy of miRNAs in intestines of hybrid yellow catfish under transport stress via physiological, biochemical and RNA-seq analysis.
View Article and Find Full Text PDFNeuroscience
May 2025
Immunogenetics Research Center, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran. Electronic address:
As research on microRNAs (miRNAs) advances, it is becoming increasingly clear that these small molecules play crucial roles in the central nervous system (CNS). They are involved in various essential neuronal functions, with specific miRNAs preferentially expressed in different cell types within the nervous system. Notably, certain miRNAs are found at higher levels in the brain and spinal cord compared to other tissues, suggesting they may have specialized functions in the CNS.
View Article and Find Full Text PDFBMC Cancer
April 2025
Student Research Committee, Shahid Beheshti University of Medical Sciences, Arabi Ave, Daneshjoo Blvd, Velenjak, Tehran, 19839-63113, Iran.
Background And Aim: MicroRNAs (miRNAs) play a key role in regulating gene expression within the tumor microenvironment, influencing cancer progression and therapy response. Cancer-associated fibroblasts (CAFs) contribute to tumor development by secreting exosomal miRNAs that promote proliferation, invasion, and resistance. This systematic review evaluates the impact of CAF-derived miRNAs on head and neck malignancies.
View Article and Find Full Text PDFMol Biol Rep
March 2025
Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Cairo University, Cairo, Egypt.
Background: Since 2019, COVID-19 and its mutants have been among the fiercest epidemic viruses. Coronavirus is still affecting the world and will continue through its various mutants, the closest example of which is the XEC mutant. Vaccines are currently available to prevent coronavirus infections.
View Article and Find Full Text PDFCancers (Basel)
June 2024
Collegium Medicum, WSB University, 41-300 Dabrowa Gornicza, Poland.
This study explores the role of circadian clock genes in the progression of astrocytic tumors, a prevalent type of brain tumor. The aim was to assess the expression patterns of these genes in relation to the tumor grade. Using microarray analysis, qRT-PCR, and methylation-specific PCR, we examined gene expression, DNA methylation patterns, and microRNA interactions in tumor samples from 60 patients.
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