The low expression of miR-1976 in plasma samples indicating its biological functions in the progression of breast cancer

Wang, J.; Ma, Ge; Han, Xu; Liang, Mengdi; Wang, X.; Xia, Tian; Wang, S.

doi:10.1007/s12094-020-02361-3

Cited by 9 publications

(4 citation statements)

References 28 publications

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“…Chen et al 116 reported the downregulation of hsa-miR-1976 in NSCLC, and its upregulation repress tumorigenesis via targeting phospholipase C epsilon 1. Another report tackles the association between the abundance of hsa-miR-1976 in plasma samples and the clinicopathological features of breast cancer patients and its role as a non-invasive biomarker for breast cancer diagnosis 117 . Thus, hsa-miR-1976 could be implicated in NB tumorigenesis and be a potential biomarker.…”

Section: Articlementioning

confidence: 99%

A multi-omics approach for biomarker discovery in neuroblastoma: a network-based framework

Hussein,

Abou-Shanab,

Badr

2024

npj Syst Biol Appl

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Neuroblastoma (NB) is one of the leading causes of cancer-associated death in children. MYCN amplification is a prominent genetic marker for NB, and its targeting to halt NB progression is difficult to achieve. Therefore, an in-depth understanding of the molecular interactome of NB is needed to improve treatment outcomes. Analysis of NB multi-omics unravels valuable insight into the interplay between MYCN transcriptional and miRNA post-transcriptional modulation. Moreover, it aids in the identification of various miRNAs that participate in NB development and progression. This study proposes an integrated computational framework with three levels of high-throughput NB data (mRNA-seq, miRNA-seq, and methylation array). Similarity Network Fusion (SNF) and ranked SNF methods were utilized to identify essential genes and miRNAs. The specified genes included both miRNA-target genes and transcription factors (TFs). The interactions between TFs and miRNAs and between miRNAs and their target genes were retrieved where a regulatory network was developed. Finally, an interaction network-based analysis was performed to identify candidate biomarkers. The candidate biomarkers were further analyzed for their potential use in prognosis and diagnosis. The candidate biomarkers included three TFs and seven miRNAs. Four biomarkers have been previously studied and tested in NB, while the remaining identified biomarkers have known roles in other types of cancer. Although the specific molecular role is yet to be addressed, most identified biomarkers possess evidence of involvement in NB tumorigenesis. Analyzing cellular interactome to identify potential biomarkers is a promising approach that can contribute to optimizing efficient therapeutic regimens to target NB vulnerabilities.

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Section: Articlementioning

confidence: 99%

A multi-omics approach for biomarker discovery in neuroblastoma: a network-based framework

Hussein,

Abou-Shanab,

Badr

2024

npj Syst Biol Appl

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“…A high-through sequence study has demonstrated that compared with healthy lung tissue, this miRNA was downregulated in non-small cell lung cancer tissue [16]. Similarly, low expression of miR-1976 has been implicated in the biological function of breast cancer [17]. Although several studies have reported an association between miR-1976 and certain cancer types, it remains unclear whether this miRNA plays a role in the development of PD.…”

Section: Introductionmentioning

confidence: 99%

MiRNA-1976 Regulates the Apoptosis of Dopaminergic Neurons by Targeting the PINK1 Gene

Qiu¹,

Wu²,

Xie³

et al. 2023

J. Integr. Neurosci.

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Introduction: Parkinson's disease (PD), which is a neurodegenerative disease, requires urgently needed biomarkers to explore its mechanism. We screened for differences in the expression of microRNAs (miRNAs) and identified miR-1976 as a possible biomarker. Methods: Twenty-three patients and 30 controls were included in this study. Dopaminergic neurons from C57/BL mice were cultured. The miRNA expression profiles were analyzed using an miRNA microarray. MiR-1976 was identified as an miRNA that was differentially expressed between PD patients and age-matched controls. Lentiviral vectors were constructed, then apoptosis in dopaminergic neurons was analyzed using MTS (multicellular tumor spheroids) and flow cytometry. Transfection of miR-1976 mimics into MES23.5 cells was performed, and target genes and biological effects were analyzed. Results: Overexpression of miR-1976 increased apoptosis and mitochondrial damage in dopaminergic neurons. PINK1 (PINK1-induced kinase 1) was the most common target protein of miR-1976, and silencing of PINK1 caused mitochondrial damage and increased apoptosis of MES23.5 cells. Conclusions: MiR-1976 is a newly discovered miRNA that exhibits a high degree of differential expression with respect to the apoptosis of dopaminergic neurons. Given these results, increased expression of miR-1976 may increase the risk of PD by targeting PINK1 and may therefore be a useful biomarker for PD.

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“…Regarding miR-5192 , it was found to be differentially expressed in idiopathic pulmonary fibrosis ( 32 ), human breast cancer cells ( 33 ), and childhood acute lymphoblastic leukemia ( 34 ). miR-1976 is located on 1p36.1; its aberrant expression has been related to the progression of breast cancer ( 35 ), and it may also predispose to Parkinson’s disease ( 36 ) and function as a predictive biomarker for obesity and weight loss ( 37 ).…”

Section: Introductionmentioning

confidence: 99%

Analysis of mRNA-miRNA-lncRNA differential expression in prediabetes/type 2 diabetes mellitus patients as potential players in insulin resistance

et al. 2023

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IntroductionType 2 diabetes mellitus (T2DM) is a major global health concern. It usually develops gradually and is frequently preceded by undetectable pre-diabetes mellitus (pre-DM) stage. The purpose of this study was to identify a novel set of seven candidate genes associated with the pathogenesis of insulin resistance (IR) and pre-DM, followed by their experimental validation in patients’ serum samples.MethodsWe used the bioinformatics tools and through a two-step process, we first identified and verified two mRNA candidate genes linked to insulin resistance molecular pathogenesis. Second, we identified a non-coding RNAs related to the selected mRNAs and implicated in the insulin resistance molecular pathways followed by pilot study for the RNA panel differential expression in 66 patients with T2DM, 49 individuals with prediabetes and 45 matched controls using real time PCR.ResultsThe levels of expression of TMEM173 and CHUK mRNAs, hsa-miR (-611, -5192, and -1976) miRNAs gradually increased from the healthy control group to the prediabetic group, reaching their maximum levels in the T2DM group (p <10-3), whereas the levels of expression of RP4-605O3.4 and AC074117.2 lncRNAs declined gradually from the healthy control group to the prediabetic group, reaching their lowest levels in the T2DM group (p <10-3). TMEM173, CHUK mRNAs, hsa_miR (-611 & -1976) and RP4-605O3.4 lncRNA were useful in distinguishing insulin resistant from insulin sensitive groups. miR_611 together with RP4-605O3.4 exhibited significant difference in good versus poor glycemic control groups.DiscussionThe presented study provides an insight about this RNA based STING/NOD/IR associated panel that could be used for PreDM-T2DM diagnosis and also as a therapeutic target based on the differences of its expression level in the pre-DM and T2DM stages.

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The low expression of miR-1976 in plasma samples indicating its biological functions in the progression of breast cancer

Cited by 9 publications

References 28 publications

A multi-omics approach for biomarker discovery in neuroblastoma: a network-based framework

A multi-omics approach for biomarker discovery in neuroblastoma: a network-based framework

MiRNA-1976 Regulates the Apoptosis of Dopaminergic Neurons by Targeting the PINK1 Gene

Analysis of mRNA-miRNA-lncRNA differential expression in prediabetes/type 2 diabetes mellitus patients as potential players in insulin resistance

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