Upregulation of miR-421 predicts poor prognosis and promotes proliferation, migration, and invasion of papillary thyroid cancer cells

Dong, Anbing; Zhang, Jianhua; Sun, Wenhai; Hua, Hui; Sun, Yinghe

doi:10.1097/jcma.0000000000000426

Cited by 6 publications

(3 citation statements)

References 41 publications

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“…MYCN also suppresses ATM expression via its upregulation of hsa-miR-421 (Fig. 5), which promotes neuroendocrine prostate cancer cells' invasion and migration potential 30,31 . MYCN was found to stimulate rat fibroblast cells' S phase entry and their transformation into a more proliferative form with rapid cell-cycle progression.…”

Section: Discussionmentioning

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: Discussionmentioning

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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“…Additionally, a study showed that has-mir-421 was highly expressed in lung cancer cells [ 63 ]. Furthermore, it has been demonstrated that the overexpression of has-mir-421 is a prognostic biomarker for non-small cell lung cancer and encourages tumor growth [ 64 ]. Considering these findings from existing studies, the estimation results by Multi-PEN are supported.…”

Section: Discussionmentioning

confidence: 99%

Estimating the Prognosis of Low-Grade Glioma with Gene Attention Using Multi-Omics and Multi-Modal Schemes

Choi

Lee

2022

Biology

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The prognosis estimation of low-grade glioma (LGG) patients with deep learning models using gene expression data has been extensively studied in recent years. However, the deep learning models used in these studies do not utilize the latest deep learning techniques, such as residual learning and ensemble learning. To address this limitation, in this study, a deep learning model using multi-omics and multi-modal schemes, namely the Multi-Prognosis Estimation Network (Multi-PEN), is proposed. When using Multi-PEN, gene attention layers are employed for each datatype, including mRNA and miRNA, thereby allowing us to identify prognostic genes. Additionally, recent developments in deep learning, such as residual learning and layer normalization, are utilized. As a result, Multi-PEN demonstrates competitive performance compared to conventional models for prognosis estimation. Furthermore, the most significant prognostic mRNA and miRNA were identified using the attention layers in Multi-PEN. For instance, MYBL1 was identified as the most significant prognostic mRNA. Such a result accords with the findings in existing studies that have demonstrated that MYBL1 regulates cell survival, proliferation, and differentiation. Additionally, hsa-mir-421 was identified as the most significant prognostic miRNA, and it has been extensively reported that hsa-mir-421 is highly associated with various cancers. These results indicate that the estimations of Multi-PEN are valid and reliable and showcase Multi-PEN’s capacity to present hypotheses regarding prognostic mRNAs and miRNAs.

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“…Subsequently, miR-421 was verified as a target miRNA of SNHG1. miR-421 was found to participate in the development of many types of tumors, such as ovarian cancer and papillary thyroid cancer [30, 31]. Moreover, miR-421 has been reported to aggravate inflammatory response in various diseases, such as bronchopulmonary dysplasia [32] and rheumatoid arthritis [33].…”

Section: Discussionmentioning

confidence: 99%

LncRNA SNHG1 suppresses LPS-induced acute lung injury by regulating miR-421/TIMP3 axis

Jiang

Tan

Yuan

et al. 2021

Preprint

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Extensive evidence has revealed the crucial roles of long non-coding RNAs (lncRNAs) in acute lung injury (ALI). This study aimed to explore the mechanism of lncRNA SNHG1 in lipopolysaccharides (LPS)-induced ALI. RT-qPCR was employed to test the levels of SNHG1, miR-421 and TIMP3 in A549 cells. Cell viability and apoptosis were assessed by CCK-8 assay and flow cytometry. ELISA assay was adopted to examine the levels of inflammatory-related cytokines, including IL-1β, IL-6 and TNF-α. The binding sequences of miR-421 and SNHG1 or TIMP3 were predicted using starBase software. Then dual-luciferase reporter and RIP assays were adopted to verify the interaction between miR-421 and SNHG1 or TIMP3. The protein level of TIMP3 was measured by western blotting. It was found that LPS stimulation downregulated SNHG1 level and SNHG1 addition decreased viability, and induced apoptosis as well as promoted inflammatory responses in LPS-treated A549 cells. SNHG1 could sponge miR-421 and SNHG1 protected A549 cells from LPS-induced injury via inhibiting miR-421. Moreover, TIMP3 was a target of miR-421. MiR-421 silence protected A549 cells against the LPS-triggered inhibition in viability, and promotion in apoptosis and inflammatory responses. SNHG1 could upregulate TIMP3 through acting as a ceRNA of miR-421 in A549 cells. Altogether, the present study elaborated that SNHG1 inhibited LPS-stimulated ALI by modulating the miR-421/TIMP3 axis.

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Upregulation of miR-421 predicts poor prognosis and promotes proliferation, migration, and invasion of papillary thyroid cancer cells

Cited by 6 publications

References 41 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

Estimating the Prognosis of Low-Grade Glioma with Gene Attention Using Multi-Omics and Multi-Modal Schemes

LncRNA SNHG1 suppresses LPS-induced acute lung injury by regulating miR-421/TIMP3 axis

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