Long intergenic noncoding RNA01134 accelerates hepatocellular carcinoma progression by sponging microRNA-4784 and downregulating structure specific recognition protein 1

Zheng, Shiyang; Guo, Yan; Dai, Lizhen; Liang, Ziming; Yang, Qing; Yi, Shuhong

doi:10.1080/21655979.2020.1818508

Cited by 23 publications

(29 citation statements)

References 25 publications

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“…HCC is the third leading cause of cancer-related deaths in the world and has become an important issue affecting human health 20,21 . Previous studies focused on the specific genes in the initiation and progression of HCC [22][23][24] .…”

Section: Discussionmentioning

confidence: 99%

A gene module identification algorithm and its applications to identify gene modules and key genes of hepatocellular carcinoma

Zhang

Lin

et al. 2021

Sci Rep

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To further improve the effect of gene modules identification, combining the Newman algorithm in community detection and K-means algorithm framework, a new method of gene module identification, GCNA-Kpca algorithm, was proposed. The core idea of the algorithm was to build a gene co-expression network (GCN) based on gene expression data firstly; Then the Newman algorithm was used to initially identify gene modules based on the topology of GCN, and the number of clusters and clustering centers were determined; Finally the number of clusters and clustering centers were input into the K-means algorithm framework, and the secondary clustering was performed based on the gene expression profile to obtain the final gene modules. The algorithm took into account the role of modularity in the clustering process, and could find the optimal membership module for each gene through multiple iterations. Experimental results showed that the algorithm proposed in this paper had the best performance in error rate, biological significance and CNN classification indicators (Precision, Recall and F-score). The gene module obtained by GCNA-Kpca was used for the task of key gene identification, and these key genes had the highest prognostic significance. Moreover, GCNA-Kpca algorithm was used to identify 10 key genes in hepatocellular carcinoma (HCC): CDC20, CCNB1, EIF4A3, H2AFX, NOP56, RFC4, NOP58, AURKA, PCNA, and FEN1. According to the validation, it was reasonable to speculate that these 10 key genes could be biomarkers for HCC. And NOP56 and NOP58 are key genes for HCC that we discovered for the first time.

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Section: Discussionmentioning

confidence: 99%

A gene module identification algorithm and its applications to identify gene modules and key genes of hepatocellular carcinoma

Zhang

Lin

et al. 2021

Sci Rep

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“…A human normal liver (LO2) and three human HCC (Hep3B, HepG2 and Huh7) cell lines were bought from American Type Culture Collection (Manassas, VA, USA) and maintained in Roswell Park Memorial Institute (RPMI) 1640 medium with 10% FBS and 1% penicillin–streptomycin in a humidified atmosphere at 37°C containing 5% CO 2 [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Over-expression of long non-coding RNA insulin-like growth factor 2-antisense suppressed hepatocellular carcinoma cell proliferation and metastasis by regulating the microRNA-520h/cyclin-dependent kinase inhibitor 1A signaling pathway

Huang

et al. 2021

Bioengineered

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“…Hepatocellular carcinoma (HCC) is one kind of human malignancies with leading lethal malignancy worldwide. Numerous studies have discovered that tumor-specific lncRNAs are promising novel HCC treatment targets, as well as prognostic biomarkers [4][5][6][7][8]. Therefore, the understanding of molecular mechanisms underlying liver carcinogenesis of lncRNA remain emergency.…”

Section: Introductionmentioning

confidence: 99%

Long non-coding RNA TINCR promotes hepatocellular carcinoma proliferation and invasion via STAT3 signaling by direct interacting with T-cell protein tyrosine phosphatase (TCPTP)

Tang¹,

Feng²,

Bao³

et al. 2021

Bioengineered

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The long non-coding RNAs (lncRNAs) participate in modulating numerous important cancer phenotypes via formation of RNA-protein complex. TINCR (terminal differentiation-induced lncRNA) modulates cancer cell behavior in many human malignancies, such as hepatocellular carcinoma (HCC). Herein, we proposed to investigate the underlying mechanism by which TINCR regulates HCC progression via formation of RNA-protein. RNA pulldown, LC-MS/MS, bioinformatics analysis, and RNA immunoprecipitation (RIP) assays were employed to identify TINCR-interacting protein TCPTP in HCC cells. The siRNAs for TINCR and TCPTP were transfected into HCC cells. The plasmids encoding full length or the 1-360 nt deletion of TINCR were generated and applied to cell transfection. The CCK-8, colony formation, EdU, wound healing along with transwell assays were employed to examine cell proliferation, apoptosis, migration, and infiltration. Real-time PCR, as well as western blot assays were employed to assess the levels of STAT3 phosphorylation and its target genes. We identified 1-360 nt region of TINCR, which directly bound with the phosphatase domain of TCPTP to inhibit its tyrosine phosphatase activity. Then, the results showed that the increasing of cell growth, migration, infiltration, and the reducing of apoptosis in TINCR-knockdown HCC cells was remarkably reversed with TCPTP silence. Additionally, Δ1-360 TINCR overexpression did not affect HCC cell growth, apoptosis, migration, infiltration, and STAT3 target genes expression. Our data revealed that TINCR directly bound TCPTP and suppressed the dephosphorylation of STAT3, thus promoting STAT3 activation and its downstream target genes in HCC progression and tumorigenicity.Highlights LncRNA TINCR interacted with protein TCPTP LncRNA TINCR maintained STAT3 phosphorylation LncRNA TINCR affected STAT3 signaling in HCC

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Long intergenic noncoding RNA01134 accelerates hepatocellular carcinoma progression by sponging microRNA-4784 and downregulating structure specific recognition protein 1

Cited by 23 publications

References 25 publications

A gene module identification algorithm and its applications to identify gene modules and key genes of hepatocellular carcinoma

A gene module identification algorithm and its applications to identify gene modules and key genes of hepatocellular carcinoma

Over-expression of long non-coding RNA insulin-like growth factor 2-antisense suppressed hepatocellular carcinoma cell proliferation and metastasis by regulating the microRNA-520h/cyclin-dependent kinase inhibitor 1A signaling pathway

Long non-coding RNA TINCR promotes hepatocellular carcinoma proliferation and invasion via STAT3 signaling by direct interacting with T-cell protein tyrosine phosphatase (TCPTP)

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