Regulatory mechanism of miR-20a-5p expression in Cancer

Huang, Wei; Wu, Xiaoyue; Xiang, Shuaixi; Qiao, Mingxin; Cen, Xiao; Pan, Xuefeng; Huang, Xinqi

doi:10.1038/s41420-022-01005-5

Cited by 17 publications

(17 citation statements)

References 106 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The expression of miR-1224 and miR-211-5p in the PTE model is significantly upregulated, and they may be involved in the occurrence of PTE by downregulating the expression of Slc25a22. Need to add that, miR-19b-3p, miR-20a-5p, miR-449a-5p and miR-494-3p are related to apoptosis (62)(63)(64)(65). And it is noteworthy that miR-298-3p and miR-466c-5p are rarely reported (66,67).…”

Section: Discussionmentioning

confidence: 96%

Identification of miRNA–mRNA regulatory network associated with the glutamatergic system in post-traumatic epilepsy rats

Zhang

Zhou

et al. 2022

Front. Neurol.

View full text Add to dashboard Cite

BackgroundGlutamate is one of the most important excitatory neurotransmitters in the mammalian brain and is involved in a variety of neurological disorders. Increasing evidence also shows that microRNA (miRNA) and mRNA pairs are engaged in a variety of pathophysiological processes. However, the miRNA and mRNA pairs that affect the glutamatergic system in post-traumatic epilepsy (PTE) remain unknown.MethodsPTE rats were induced by injecting 0.1 mol/L, 1 μL/min FeCl2 solution. Behavioral scores and EEG monitoring were used to evaluate whether PTE was successfully induced. RNA-seq was used to obtain mRNA and miRNA expression profiles. Bioinformatics analysis was performed to screen differentially expressed mRNAs and miRNAs associated with the glutamatergic system and then predict miRNA–mRNA interaction pairs. Real-time quantitative reverse transcription PCR was used to further validate the expression of the differential miRNAs and mRNAs. The microRNA–mRNA was subject to the Pearson correlation analysis.ResultsEight of the 91 differentially expressed mRNAs were associated with the glutamatergic system, of which six were upregulated and two were downregulated. Forty miRNAs were significantly differentially expressed, with 14 upregulated and 26 downregulated genes. The predicted miRNA–mRNA interaction network shows that five of the eight differentially expressed mRNAs associated with the glutamatergic system were targeted by multiple miRNAs, including Slc17a6, Mef2c, Fyn, Slc25a22, and Shank2, while the remaining three mRNAs were not targeted by any miRNAs. Of the 40 differentially expressed miRNAs, seven miRNAs were found to have multiple target mRNAs associated with the glutamatergic system. Real-time quantitative reverse transcription PCR validation and Pearson correlation analysis were performed on these seven targeted miRNAs—Slc17a6, Mef2c, Fyn, Slc25a22, and Shank2—and six additional miRNAs selected from the literature. Real-time quantitative reverse transcription PCR showed that the expression levels of the mRNAs and miRNAs agreed with the predictions in the study. Among them, the miR-98-5p–Slc17a6, miR-335-5p–Slc17a6, miR-30e-5p–Slc17a6, miR-1224–Slc25a22, and miR-211-5p–Slc25a22 pairs were verified to have negative correlations.ConclusionsOur results indicate that miRNA–mRNA interaction pairs associated with the glutamatergic system are involved in the development of PTE and have potential as diagnostic biomarkers and therapeutic targets for PTE.

show abstract

Section: Discussionmentioning

confidence: 96%

Identification of miRNA–mRNA regulatory network associated with the glutamatergic system in post-traumatic epilepsy rats

Zhang

Zhou

et al. 2022

Front. Neurol.

View full text Add to dashboard Cite

show abstract

“…Several studies suggest that miR-19a-3p may play an important role in the pathogenesis and progression of CLL [ 2 , 34 , 35 ]. Other studies have found that miR-20a-5p and miR-19a-3p are overexpressed in many cancers, although their function is still unknown [ 36 ]. However, there is no doubt that miR-20a-5p expression is crucial in cancer development and outcome, which may suggest its particular importance as a biomarker, and in the future it may contribute to the development of targeted drugs.…”

Section: Discussionmentioning

confidence: 99%

Prognostic Value of the miR-17~92 Cluster in Chronic Lymphocytic Leukemia

Chocholska

Zarobkiewicz

Szymańska

et al. 2023

IJMS

View full text Add to dashboard Cite

The aim of this study was to investigate the expression of miR-17∼92 cluster members in chronic lymphocytic leukemia (CLL) patients. Six microRNAs (miRNAs)—miR-17, miR-18a, miR-19a, miR-19b-1, miR-20a, and miR-92a-1—very poorly characterized in CLL patients, were chosen for the study to consider their possible role as cancer biomarkers. It is currently unclear to which extent miR-17~92 expression is related to other routinely measured CLL markers, and whether the findings can be of any clinical significance. To achieve this goal, we report the expression levels of these miRNAs detected by RT-qPCR in purified CD19+ B lymphocytes of 107 CLL patients and correlate them with existing clinical data. The study provides new evidence regarding the heterogeneity of miR-17~92 cluster members’ expression in CLL patients. Higher miR-17-5p expression was associated with unfavorable prognostic factors (i.e., 17p and 11q deletions, CD38 and ZAP-70 expression). On the other hand, miR-19a, miR-20a, and miR-92a-1 negatively correlated with these adverse factors. The presence of del(13q) as a sole aberration was associated with a significantly lower miR-17-5p as well as higher miR-19a-3p and miR-92a-1-5p expression compared to patients carrying unfavorable genetic aberrations. Particularly, miR-20a could be considered an independent favorable prognostic factor. In a multivariate analysis, high miR-20a expression remained an independent marker predicting long TTT (time to treatment) for CLL patients.

show abstract

“…miRNAs are a family of small non-coding single-stranded RNAs that regulate a wide array of biological processes, including tumorigenesis [ 27 ]. The increased or decreased expressions of these molecules play key roles in cellular microenvironments, modulating important cell processes involved in carcinogenesis and cancer progression [ 28 ].…”

Section: Role Of Mirnas On Cancer Pathophysiologymentioning

confidence: 99%

Micro-RNAs Predict Response to Systemic Treatments in Metastatic Renal Cell Carcinoma Patients: Results from a Systematic Review of the Literature

et al. 2022

View full text Add to dashboard Cite

Locally advanced or metastatic renal cell carcinomas (mRCCs) account for up to 15% of all kidney cancer diagnoses. Systemic therapies (with or without surgery) represent gold standard treatments, mostly based on tyrosine kinase inhibitors in association with immunotherapy. We provide an overview of the current knowledge of miRNAs as predictors of treatment resistance. A systematic review of the literature was carried out in January 2022 following the PICO methodology. Overall, we included seven studies—four testing plasmatic miRNAs, two exosomal miRNAs, and one urinary miRNA. A total of 789 patients were included (354 for plasmatic miRNAs, 366 for urinary miRNAs, and 69 for exosomal miRNAs). Several miRNAs were tested within the included studies, but six plasmatic (miR9-5-p¸ miR-192, miR193-3p, miR-501-3p¸ miR-221, miR-376b-3p) one urinary (miR-30a-5p), and three exosomal (miR-35-5p, miR-301a-3p, miR-1293) were associated with resistance to systemic treatments or treatment failure in mRCC patients. Results showed a fair accuracy of these biomarkers in predicting treatment resistance and overall survival. However, to date, the biomarkers tested have not been validated and their clinical uses are not recommended. Nevertheless, the literature results are encouraging; future large clinical trials are warranted to validate the effectiveness of these tools in clinical decision-making.

show abstract

Regulatory mechanism of miR-20a-5p expression in Cancer

Cited by 17 publications

References 106 publications

Identification of miRNA–mRNA regulatory network associated with the glutamatergic system in post-traumatic epilepsy rats

Identification of miRNA–mRNA regulatory network associated with the glutamatergic system in post-traumatic epilepsy rats

Prognostic Value of the miR-17~92 Cluster in Chronic Lymphocytic Leukemia

Micro-RNAs Predict Response to Systemic Treatments in Metastatic Renal Cell Carcinoma Patients: Results from a Systematic Review of the Literature

Contact Info

Product

Resources

About