RNAi-mediated SYT14 knockdown inhibits the growth of human glioma cell line U87MG

Sheng, Bin; Jiang, Yuxin; Wu, Degang; Lai, Niansheng; Ye, Zhen-Nan; Zhang, Bingbing; Fang, Xinggen; Xu, Shuo

doi:10.1016/j.brainresbull.2018.04.002

Cited by 12 publications

(12 citation statements)

References 23 publications

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“…Downregulation of TNNC1 (Troponin C1) expression accelerated tumor formation and increased mortality in LUAD patients [ 47 ]. Glioma cells with low SYT14 (Synaptotagmin 14) expression were observed to suppress the proliferation capacity [ 48 ]. Upregulation of SPOCK2 negatively regulated MMP2 gene expression, which in turn inhibited the invasion and metastasis of prostate cancer cells [ 49 ].…”

Section: Discussionmentioning

confidence: 99%

Identification of Differentially Expressed and Prognostic lncRNAs for the Construction of ceRNA Networks in Lung Adenocarcinoma

Cui

Liu

et al. 2021

Journal of Oncology

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Background. Long noncoding RNAs (lncRNAs) could function as competitive endogenous RNAs (ceRNAs) to competitively adsorb microRNAs (miRNAs), thereby regulating the expression of their target protein-coding mRNAs. In this study, we aim to identify more effective diagnostic and prognostic markers for lung adenocarcinoma (LUAD). Methods. We obtained differentially expressed lncRNAs (DElncRNAs), miRNAs (DEmiRNAs), and mRNAs (DEmRNAs) for LUAD by using The Cancer Genomes Atlas (TCGA) portal. Weighted gene coexpression network analysis (WGCNA) was performed to unveil core gene modules associated with LUAD. The Cox proportional hazards model was performed to determine the prognostic significance of DElncRNAs. The diagnostic and prognostic significance of DElncRNAs was further verified based on the receiver operating characteristic curve (ROC). Cytoscape was used to construct the ceRNA networks comprising the lncRNAs-miRNAs-mRNAs axis based on the correlation obtained from the miRcode, miRDB, and TargetScan. Results. Compared with normal lung tissues, 2355 DElncRNAs, 820 DEmiRNAs, and 17289 DEmRNAs were identified in LUAD tissues. We generated 8 WGCNA core modules in the lncRNAs coexpression network, 5 modules in the miRNAs, and 12 modules in the mRNAs coexpression network, respectively. One lncRNA module (blue) consisting of 441 lncRNAs, two miRNA modules (blue and turquoise) containing 563 miRNAs, and one mRNA module (turquoise), which consisted of 15162 mRNAs, were mostly significantly related to LUAD status. Furthermore, 67 DEmRNAs were found to be tumor-associated as well as the target genes of the DElncRNAs-DEmiRNAs axis. Survival analyses showed that 6 lncRNAs (LINC01447, WWC2-AS2, OGFRP1, LINC00942, LINC01168, and AC005863.1) were significantly correlated with the prognosis of LUAD patients. Ultimately, the potential ceRNA networks including 6 DElncRNAs, 4 DEmiRNAs, and 22 DEmRNAs were constructed. Conclusion. Our study indicated that 6 DElncRNAs had the possibilities as diagnostic and prognostic biomarkers for LUAD. The lncRNA-mediated ceRNA networks might provide novel insights into the molecular mechanisms of LUAD progression.

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Section: Discussionmentioning

confidence: 99%

Identification of Differentially Expressed and Prognostic lncRNAs for the Construction of ceRNA Networks in Lung Adenocarcinoma

Cui

Liu

et al. 2021

Journal of Oncology

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“…Previous studies found that the expression of Syt14 was highly restricted to the mouse heart and testis but absent in the brain, suggesting that Syt14 may be involved in membrane trafficking in specific tissues other than the brain 32 . RNA‐mediated SYT14 knockdown can inhibit proliferation and colony formation and promote apoptosis of glioma cells 33 . TRAF3IP3 is expressed in the immune system and participates in cell maturation, tissue development and immune response 34 .…”

Section: Discussionmentioning

confidence: 99%

“…-mediated SYT14 knockdown can inhibit proliferation and colony formation and promote apoptosis of glioma cells 33. TRAF3IP3 is expressed in the immune system and participates in cell maturation, tissue development and immune response 34.…”

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confidence: 99%

Identification of novel susceptibility loci for non‐syndromic cleft lip with or without cleft palate

Lou

Miao

et al. 2020

J Cellular Molecular Medi

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“…The function of SYT14 in human cancer is unclear, it has been reported that RNAi-mediated SYT14 knockdown inhibits the growth of human glioma cell line ( Sheng et al, 2018 ). Our results showed thatSYT14 is also highly expressed in both the metastasis group and the high-risk group, and is highly related to the pathways in cancer, TGFβ signaling pathway and WNT signaling pathway.…”

Section: Discussionmentioning

confidence: 99%

Establishment and Validation of a Comprehensive Prognostic Model for Patients With HNSCC Metastasis

Shen

et al. 2021

Front. Genet.

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ObjectiveTo identify biomarkers related to head and neck squamous cell carcinoma (HNSCC) metastasis and establish a prognostic model for patients with HNSCC.MethodsHNSCC mRNA expression data of metastasis and non-metastatic samples were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. After screening the differentially expressed genes (DEGs) in the two datasets, a prognostic model, including clinical factors and biomarkers, was established, and verified in 36 samples of HNSCC by quantitative real-time transcription (qRT)-PCR. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene sets enrichment analysis (GSEA) were consulted to explore the functions of the DEGs.ResultsIn total, 108 DEGs were identified. GSEA, GO, and KEGG analyses showed that these DEGs were mainly involved in the proliferation and metastasis of HNSCC. Six genes that were significantly related to metastasis, immune cell infiltration and prognosis were further identified to construct a prognostic gene signature. The reliability of the gene signature was verified in 36 samples of HNSCC. A prognostic model, including tumor stage, risk level, and a nomogram for prediction were further established. Receiver operating characteristic (ROC) analysis, decision curve analysis (DCA), C-index, and calibration plots showed that the model and nomogram perform well.ConclusionWe constructed a six-gene signature and a nomogram with high performance in predicting the prognosis of patients with HNSCC metastasis.

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RNAi-mediated SYT14 knockdown inhibits the growth of human glioma cell line U87MG

Cited by 12 publications

References 23 publications

Identification of Differentially Expressed and Prognostic lncRNAs for the Construction of ceRNA Networks in Lung Adenocarcinoma

Identification of Differentially Expressed and Prognostic lncRNAs for the Construction of ceRNA Networks in Lung Adenocarcinoma

Identification of novel susceptibility loci for non‐syndromic cleft lip with or without cleft palate

Establishment and Validation of a Comprehensive Prognostic Model for Patients With HNSCC Metastasis

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