Long Noncoding RNA NEAT1: A Potential Biomarker in the Progression of Laryngeal Squamous Cell Carcinoma

LncRNA NEAT1 promotes proliferation, migration, and invasion of laryngeal squamous cell carcinoma cells through miR-411-3p/FZD3-mediated Wnt signaling pathway

The lncRNA NEAT1 has been shown to promote the progression of several cancers, containing laryngeal squamous cell carcinoma (LSCC). However, the precise mechanism by which it promotes LSCC progression remains unclear. In this study, we verified the high expression of lncRNA NEAT1 in LSCC tissues and cells using RT-qPCR. Analysis of clinical data exhibited that high expression of lncRNA NEAT1 was associated with a history of smoking, worse T stage, lymph node metastasis, and later TNM stage in patients with LSCC. The promotion effect of lncRNA NEAT1 on LSCC cell proliferation, migration, invasion, and tumor growth in vivo was verified by CCK-8, plate clone formation, Transwell, and nude mouse tumorigenicity assays. Bioinformatics prediction and double luciferase reporter gene assay verified the binding of miR-411-3p to lncRNA NEAT1 and FZD3 mRNA, and inhibition of miR-411-3p reversed the inhibitory effect of lncRNA NEAT1 on FZD3 expression in LSCC cells. We also verified that lncRNA NEAT1-mediated FZD3 activation in the Wnt pathway affects LSCC development. In conclusion, we demonstrate that lncRNA NEAT1 promotes the progression of LSCC, and propose that the lncRNA NEAT1/miR-411-3p/FZD3 axis may be an effective target for LSCC therapy.

LncRNA NEAT1 promotes angiogenesis of retinoblastoma cells through regulation of the miR-106a/HIF-1α axis

Objective

To explore the role and mechanisms of lncRNA nuclear enriched abundant transcript 1 (NEAT1) in angiogenesis of retinoblastoma (RB) cells.

Methods

This study investigated the roles of NEAT1 in RB progression. The RNA expression levels of NEAT1, miR-106a, and hypoxia-inducible factor-1alpha (HIF-1α) examined by quantitative reverse transcription polymerase chain reaction (RT-qPCR) were compared between RB cells and normal retinal pigment epithelial (RPE) cells. The binding sites between NEAT1 and miR-106a, and between miR-106a and HIF-1α were predicted by the TargetScan database and verified using the dual-luciferase reporter assay. By transfection of overexpression plasmid or shRNA of NEAT1, and/or treatment of miR-106a inhibitor or mimics, proliferation, invasion, and angiogenesis of RB cells (measured by the MTT assay, the Transwell assay, and the tube formation assay, respectively) were compared between groups. Group comparisons were analyzed using one-way analysis of variance (ANOVA), and Tukey's post-hoc test was employed for further statistical assessment. P-value less than 0.05 was considered statistically significant.

Results

The RNA expression levels of NEAT1 and HIF-1α were upregulated in RB cells, whereas the expression level of miR-106a was downregulated compared with RPE cells. NEAT1 overexpression or miR-106a knockdown advanced proliferation, invasion, and tube formation of RB cells. As a target of NEAT1, miR-106a could sponge HIF-1α to downregulate HIF-1α expression level. Functional analyses indicated that miR-106a knockdown reversed the inhibitory effects of NEAT1 silencing on the proliferation, invasion, and tube formation of RB cells. Furthermore, miR-106a overexpression suppressed RB cell angiogenesis by downregulating HIF-1α expression level.

Conclusion

NEAT1 promoted proliferation, invasion, and angiogenesis of RB cells through upregulation of HIF-1α expression level by sponging miR-106a, demonstrating that NEAT1 may be a novel target for RB treatment.

An updated review of contribution of long noncoding RNA-NEAT1 to the progression of human cancers

Long non-coding RNAs (lncRNAs) present pivotal roles in cancer tumorigenesis and progression. Recently, nuclear paraspeckle assembly transcript 1 (NEAT1) as a lncRNA has been shown to mediate cell proliferation, migration, and EMT in tumor cells. NEAT1 by targeting several miRNAs/mRNA axes could regulate cancer cell behavior. Therefore, NEAT1 may function as a potent biomarker for the prediction and treatment of some human cancers. In this review, we summarized various NEAT1-related signaling pathways that are critical in cancer initiation and progression.

Mechanism of miR-340-5p in laryngeal cancer cell proliferation and invasion through the lncRNA NEAT1/MMP11 axis

OBJECTIVES

Laryngeal cancer (LC), with a relatively rare diagnosis, is a primary malignancy originating from laryngeal mucosa. This study investigated the mechanisms of microRNA (miR)- 340-5p in LC cell proliferation and invasion.

METHODS

The expression patterns of miR-340-5p, long non-coding RNA (lncRNA) nuclear paraspeckle assembly transcript 1 (NEAT1), and matrix metallopeptidase 11 (MMP11) in LC cells, tissues, and para-carcinoma tissues, and human bronchial epithelial cells (HBEC) were examined via RT-qPCR. The effects of elevating or silencing miR-340-5p on LC cell proliferation and invasion were examined. The subcellular localization of lncRNA NEAT1 was determined. The binding relations among miR-340-5p, lncRNA NEAT1, and MMP11 were verified. Functional rescue experiments were designed to verify the functions of lncRNA NEAT1 and MMP11 on LC cell proliferation and invasion. Nude-mouse tumor models were established to assess the role of miR-340-5p in LC in vivo.

RESULTS

miR-340-5p was under-expressed in LC, and miR-340-5p overexpression repressed LC cell proliferation and invasion. Mechanically, miR-340-5p decreased lncRNA NEAT1 stability via directly binding to lncRNA NEAT1 and thus declined lncRNA NEAT1 expression in LC cells, while lncRNA NEAT1 accelerated MMP11 transcription via binding to heat shock factor 1 (HSF1). Overexpression of lncRNA NEAT1 or MMP11 reversed the repression of miR-340-5p overexpression on LC cell proliferation and invasion. In vivo, miR-340-5p overexpression repressed the tumor growth.

CONCLUSION

miR-340-5p overexpression reduced lncRNA NEAT1 stability via binding to lncRNA NEAT1, which declined lncRNA NEAT1 expression and reduced the binding of lncRNA NEAT1 to HSF1 to further inhibit MMP11 transcription, thus repressing LC cell proliferation and invasion.

Comprehensive Analysis of Sinonasal Inverted Papilloma Expression Profiles Identifies Long Non-Coding RNA AKTIP as a Potential Biomarker

Long noncoding RNAs (lncRNAs) are a novel class of potential biomarkers and therapeutic targets for the treatment of neoplasms. The purpose of this study was to explore the expression profile, potential functions, and diagnostic and clinical significance of lncRNAs in sinonasal inverted papilloma (SNIP). The expression profiles of lncRNAs and mRNAs were analyzed using a microarray. The potential functions and clinical implications of specific lncRNAs were further analyzed by bioinformatics and statistical methods. Microarray analysis identified 1,668 significantly upregulated and 1,767 downregulated lncRNAs in SNIP. Several mRNAs coexpressed with lncRNAs were enriched in some biological processes and cellular signaling pathways related to tumorigenesis. Lnc-AKTIP might interact with a variety of tumor-associated proteins and transcription factors, such as PCBP2, IRF-1, and p53. Receiver operating characteristic curve analysis for lnc-AKTIP showed an area under the curve of 0.939. Notably, its expression level was significantly decreased in SNIP tissues versus normal tissues and was associated with SNIP staging. Lnc-AKTIP may serve as a valuable diagnostic biomarker and a therapeutic target for SNIP.

Identification of Novel Prognostic Markers Associated With Laryngeal Squamous Cell Carcinoma Using Comprehensive Analysis

Background

Laryngeal squamous cell carcinoma (LSCC) is a leading malignant cancer of the head and neck. Patients with LSCC, in which the cancer has infiltrated and metastasized, have a poor prognosis. Therefore, there is an urgent need to identify more potential targets for drugs and biomarkers for early diagnosis.

Methods

RNA sequence data from LSCC and patients’ clinical traits were obtained from the Gene Expression Omnibus (GEO) (GSE142083) and The Cancer Genome Atlas (TCGA) database. Differentially expressed gene (DEG) analysis and weighted gene co-expression network analysis (WGCNA) were performed to identify hub genes. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, prognostic value analysis, receiver operating characteristic (ROC) curve analysis, gene mutation analysis, tumor-infiltrating immune cell abundance profile estimation, gene set variation analysis (GSVA), and gene set enrichment analysis (GSEA) were performed. Single-gene RNA sequencing data were obtained from the GSE150321 dataset. Cell proliferation and viability were confirmed by the CCK-8 assay and real-time PCR.

Results

A total of 701 DEGs, including 329 upregulated and 372 downregulated genes, were screened in the GSE142083 dataset. Using WGCNA, three modules were identified to be closely related to LSCC. After intersecting the DEGs and performing univariate and multivariate Cox analyses, a novel prognostic model based on three genes (SLC35C1, HOXB7, and TEDC2) for LSCC was established. Interfering TEDC2 expression inhibited tumor cell proliferation and migration.

Conclusions

Our results show that SLC35C1, HOXB7, and TEDC2 have the potential to become new therapeutic targets and prognostic biomarkers for LSCC.

The relation between NEAT1 expression level and survival rate in patients with oral squamous cell carcinoma

Background/purpose

Numerous studies have shown that long noncoding RNAs (lncRNAs) are involved in cancer progression and chemotherapy resistance. Nuclear enriched abundant transcript 1 (NEAT1) is an lncRNA. It affects tumor cell progression and drug resistance in various tumors. However, the relation of NEAT1 and survival rate in oral squamous cell carcinoma (OSCC) requires further study.

Materials and methods

One normal gingival epithelium cell line, SG, three oral cancer cell lines (HSC3, OEC-M1, and SAS), 34 paired non-cancerous matched tissues (NCMT), and OSCC tissues were used in this study. Tri-reagent was used for total RNA extraction. NEAT1 expression was assessed by reverse transcription-quantitative PCR (RT-qPCR).

Results

NEAT1 expression in oral cancer cell lines was lower than that in normal cells and was significantly downregulated in OSCC. NEAT1 upregulation reduced the survival rate of patients with OSCC. NEAT1 upregulation also reduced the survival rate of OSCC patients treated with chemotherapy and radiotherapy.

Conclusion

These results indicate that NEAT1 expression is a valuable biomarker for the prediction and prognosis of oral cancer.