MicroRNA‑133a‑3p inhibits cell proliferation, migration and invasion in colorectal cancer by targeting AQP1

Kong, Bin; Zhao, Shushan; Kang, Xianwu; Wang, Bo

doi:10.3892/ol.2021.12910

Cited by 17 publications

(14 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Inhibition of miR-430-3p also rescued the effects of circ_0001789 silencing. These data were consistent with previous findings that miR-140-3p served as a tumor suppressor to inhibit the metastasis of various cancer types [ 13 , 14 ].…”

Section: Discussionsupporting

confidence: 93%

“…In addition to circRNAs, microRNAs (miRNAs or miRs) are another class of short non-coding RNAs that are involved in the progression of GC [ 11 , 12 ]. For example, miR-140-3p has been reported as a tumor suppressor that inhibits the metastasis of various types of cancer [ 13 , 14 ]. miR-140-3p could also promote autophagy, and alleviate inflammatory and oxidative stress to mitigate cell damage [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Circular RNA 0001789 sponges miR-140-3p and regulates PAK2 to promote the progression of gastric cancer

You

Chen

et al. 2023

J Transl Med

View full text Add to dashboard Cite

Background Gastric cancer (GC) is the third-leading cause of cancer-associated mortalities globally. The deregulation of circular RNAs (circRNAs) and microRNAs (miRNAs or miRs) is widely implicated in the pathogenesis and progression of different cancer types. Methods The expression profiling of circRNAs in GC is required to identify crucial circRNAs as biomarkers or therapeutic targets. In the present study, a published circRNA microarray dataset was used to identify differentially expressed circRNAs between GC tissues and normal gastric mucosa tissues. Reverse transcription-quantitative PCR was performed to validate the expression of circ_0001789. Fisher’s exact test, receiver operating characteristic curve and Kaplan-Meier plots were employed to analyze the clinical significance of circ_0001789. The miRNA targets of circ_0001789 were predicted using an online database, and their functional interaction was further confirmed by RNA pull-down, RNA immunoprecipitation and dual luciferase reporter assays. Transwell assays were conducted to investigate the biological functions of circ_0001789, miR-140-3p and p21 activated kinase 2 (PAK2) in the migration and invasion of GC cells. A xenograft mouse model was established to validate the role of circ_0001789 in the tumorigenesis of GC cells. Results circ_0001789 was identified as a highly expressed circRNA in GC tissues versus normal gastric mucosa tissues. Silencing circ_0001789 attenuated the malignancy of GC cells, and exosomal circ_0001789 was sufficient to regulate the malignant phenotype of GC cells. miR-140-3p was further identified as a downstream target of circ_0001789, which showed a negative correlation with circ_0001789 expression in GC tissues. Overexpression of miR-140-3p suppressed cell migration, invasion and epithelial-mesenchymal transition in GC cells. PAK2 was identified as the target of miR-140-3 to mediate the malignant phenotype of GC cells. Conclusion The present data suggested that the upregulation of circ_0001789 was associated with the progression of GC and with poor prognosis in patients with GC, and that miR-140-3p/PAK2 served as the downstream axis to mediate the oncogenic effect of circ_0001789.

show abstract

Section: Discussionsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Circular RNA 0001789 sponges miR-140-3p and regulates PAK2 to promote the progression of gastric cancer

You

Chen

et al. 2023

J Transl Med

View full text Add to dashboard Cite

show abstract

“…[40] An additional study found that miR-140-3p was downregulated in NSCLC tumours; compared with adjacent normal lung tissue. [41] In addition, miR-29c-3p also showed the potential of using it as a non-invasive blood-based biomarker for the detection of NSCLC. Studies demonstrated that miR-29c-3p suppresses colon cancer cell growth and suppresses hepatocellular carcinoma tumour progression.…”

Section: Discussionmentioning

confidence: 99%

Identification of miRNA Biomarkers for Non-small Cell Lung Cancer using Microarray Datasets and Bioinformatics Analysis

Khan¹,

Sharma²

2022

APJHS

View full text Add to dashboard Cite

Non-small cell lung cancer (NSCLC) is the most common type of lung cancer, which accounts for about 81% percent of all lung cancer cases. Despite advances in NSCLC diagnosis and treatment, the mortality rate is still high. Patients with NSCLC have a 5-year survival rate of only 21%. NSCLC is currently diagnosed at an advanced stage when cancer has already metastasized. Hence, it is essential to elucidate the molecular mechanisms associated with NSCLC pathogenesis and identify early diagnostic or predictive biomarkers. Circulating miRNAs might act as non-invasive blood-based biomarkers for NSCLC diagnosis and prognosis. In this study, we used previously published microarray datasets from Gene Expression Omnibus database and identified 12 down-regulated miRNAs in tissue and blood of NSCLC. Further analysis identified three miRNAs that could serve as biomarkers in the diagnosis of NSCLC: miR-140-3p, miR-29c, and miR-199a. The functional enrichment analysis of the candidate microRNA’s target genes disclosed various overrepresented pathways associated with malignancy progression. Seven target genes are identified as hub genes of the PPI network and hold strong predictive power. In addition, the three-gene combination (IL6, SNAI1, and CDK6) shows a hazard ratio of more than one (hr = 1.5) and P-value <0.002. Since the expression levels of these three miRNAs were significantly decreased in both tissue and blood, measuring miRNA expression in the blood also gives information on its expression in tissue. Therefore, these three microRNAs could be used as NSCLC diagnostic and prognostic biomarkers.

show abstract

“…In this study, Aquaporin 1 (AQP1) was signi cantly associated with prognosis in patients with lung cancer. Kong et al found that MicroRNA-133a-3p inhibits cell proliferation, migration and invasion in colorectal cancer by targeting AQP1 [13]. Angelico et al found that Aquaporin-1 (AQP1) is highly expressed in asbestos-related malignant pleural mesothelioma (MPM) [14].…”

Section: Discussionmentioning

confidence: 99%

Identification of Key Genes Related to Lung Cancer with Brain Metastasis through Weighted Gene Correlation Network Analysis

Niu¹,

Cao²,

Liu³

et al. 2021

Preprint

View full text Add to dashboard Cite

Background: Brain metastases (BM) are the most common malignant tumors affecting the human central nervous system, more than 50% of BM are lung cancer. However, there is currently no universal and effective screening tool for lung cancer with BM. The study aimed to identify key genes of lung cancer with BM, achieving early and accurate diagnosis of lung cancer with BM and long-term monitoring of the therapeutic response.Methods: RNA-seq data and related clinical information were downloaded from the Gene Expression Omnibus (GEO) database. The weighted gene co-expression network (WGCNA) analysis was performed using WGCNA package and MEtuequois module was considered as the highest correlation. The Limma package of R was used to obtain differentially expressed genes (DEGs) between lung cancer with BM and healthy samples. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichments of DEGs were analysed. LASSO and SVM were used to derive key genes for lung cancer with BM, and survival analysis was used to verify the correlation between the outcome and the key genes that we found. Key genes are annotated by GSEA, and CIBERSORT was used to calculate immune infiltration from samples.Results: 5 co-expression modules were detected, and ME turquois was most significantly associated with BM in lung cancer. These genes were mainly enriched in biological processes related to cell adhesion and immunity, and the main signaling pathways are significantly related to disease and cell adhesion. 4 BM-related key genes (AQP1, GSTA1, ROS1, TGFB1I1) were identified by LASSO regression analysis and SVM-RFE screening, they were demonstrated as the potential markers for lung cancer with BM. Immune cell infiltration revealed that they were negatively correlated with T cells regulatory, T cells CD8 and Mast cells activated. Overall survival correlation analysis confirmed that the expression of AQP1, GSTA1 and TGFB1I1 was negatively correlated with the prognosis of lung cancer patients, ROS1 was positively correlated with the prognosis of patients.Conclusions: AQP1, GSTA1, TGFB1I1 and ROS1 were identified as key genes of lung cancer with BM patients, which may regulate cancer progression by regulating immunity and have potential prognostic effects.

show abstract

MicroRNA‑133a‑3p inhibits cell proliferation, migration and invasion in colorectal cancer by targeting AQP1

Cited by 17 publications

References 41 publications

Circular RNA 0001789 sponges miR-140-3p and regulates PAK2 to promote the progression of gastric cancer

Circular RNA 0001789 sponges miR-140-3p and regulates PAK2 to promote the progression of gastric cancer

Identification of miRNA Biomarkers for Non-small Cell Lung Cancer using Microarray Datasets and Bioinformatics Analysis

Identification of Key Genes Related to Lung Cancer with Brain Metastasis through Weighted Gene Correlation Network Analysis

Contact Info

Product

Resources

About