Background: Circular RNAs (circRNAs) function as vital regulators in multifarious cancers, including hepatocellular carcinoma (HCC). However, the roles of circRNA Wolf-Hirschhorn syndrome candidate gene-1 (circWHSC1) in HCC are barely known. Methods: Quantitative real-time polymerase chain reaction (qRT-PCR) was conducted for the levels of circWHSC1, miR-142-3p, miR-421, miR-665 and homeobox A1 (HOXA1) mRNA. Cell Counting Kit-8 (CCK-8) assay, colony formation assay and 5′-ethynyl-2′-deoxyuridine (EdU) assay were used to evaluate cell proliferation ability. Transwell assay was adopted for cell migration and invasion. Western blot assay was employed for protein levels. RNA pull-down assay, dual-luciferase reporter assay and RNA immunoprecipitation (RIP) assay were executed to verify the interaction between miR-142-3p and circWHSC1 or HOXA1. Murine xenograft model assay was conducted for the role of circWHSC1 in vivo. The morphology of exosomes was observed by transmission electron microscopy (TEM). Results: CircWHSC1 was elevated in HCC tissues and cells, and high level of circWHSC1 was associated with worse overall survival of HCC patients. Knockdown of circWHSC1 suppressed HCC cell proliferation and metastasis in vitro and restrained tumorigenesis in vivo. CircWHSC1 functioned as the sponge for miR-142-3p, which directly targeted HOXA1. Inhibition of miR-142-3p ameliorated the effects of circWHSC1 knockdown on HCC cell proliferation and metastasis. Moreover, miR-142-3p overexpression restrained the growth and motility of HCC cells, with HOXA1 elevation reversing the impacts. Additionally, circWHSC1 was increased in HCC patients' serum and might be a diagnostic indicator for HCC. Conclusion: CircWHSC1 played a tumour-promoting role in HCC by elevating HOXA1 through sponging miR-142-3p.
Backgroud: Pancreatic cancer is the most common of gastrointestinal tumor, with a high malignancy and poor prognosis,and early and effective diagnosis is the key for prolonging patient’s overall survival, especially for fluid biopsy. Methods In this study, expression profile array was downloaded from GEO database, and differentially expressed miRNAs in serum were screened from patients with pancreatic cancer and healthy individuals, then co-expressed serum miRNAs in pancreatic cacner patients was analyzed by R software with weighted correlation network analysis(WGCNA) package. Finally, key differentially expressed miRNA was verified in serum of 16 patients with pancreatic cancer and 10 healthy individuals by quantitative real-time PCR (qRT-PCR). Results Results found that there were eleven differentially expressed miRNAs(miR-155-5p, miR-4668-5p, miR-3613-3p, -miR-3201, miR-548ac, miR-486-5p, miR-548a-3p, miR-8084, miR-455-3p, miR-6068, and miR-1246) between pancreatic cancer and healthy individuals. WGCNA results further found that miR-4668-5p has a higher associated modules compared to other differentially expressed miRNAs. Then, the expression level of miR-4668-5p was further verified, and results found that serum miR-4668-5p expression level was significantly higher in patients with pancreatic cancer than that of healthy individuals. Conclusion Our results firstly substantiated that miR-4668-5p was significantly up-regulated in serum of patients with pancreatic cancer, which may be a potential biomarker for pancreatic cancer diagnosis.
Background Pancreatic cancer is the most common of gastrointestinal tumor, with a high malignancy and poor prognosis,and early and effective diagnosis is the key for prolonging patient’s overall survival, especially for fluid biopsy.Methods In this study, expression profile array was downloaded from GEO database, and differentially expressed miRNAs in serum were screened from patients with pancreatic cancer and healthy individuals, then co-expressed serum miRNAs in pancreatic cacner patients was analyzed by R software with weighted correlation network analysis(WGCNA) package. Finally, key differentially expressed miRNA was verified in serum of 16 patients with pancreatic cancer and 10 healthy individuals by quantitative real-time PCR (qRT-PCR).Results Results found that there were eleven differentially expressed miRNAs(miR-155-5p, miR-4668-5p, miR-3613-3p, -miR-3201, miR-548ac, miR-486-5p, miR-548a-3p, miR-8084, miR-455-3p, miR-6068, and miR-1246) between pancreatic cancer and healthy individuals. WGCNA results further found that miR-4668-5p has a higher associated modules compared to other differentially expressed miRNAs. Then, the expression level of miR-4668-5p was further verified, and results found that serum miR-4668-5p expression level was significantly higher in patients with pancreatic cancer than that of healthy individuals.Conclusion Our results firstly substantiated that miR-4668-5p was significantly up-regulated in serum of patients with pancreatic cancer, which may be a potential biomarker for pancreatic cancer diagnosis.
Pancreatic cancer is a common type of gastrointestinal tumour throughout the world and is characterised by high malignancy rates and poor prognosis. Studies indicated that early and effective diagnosis is key to prolonging patients' overall survival, particularly in the case of fluid biopsy. Given this, the present study was designed to evaluate the expression profile arrays of patients with pancreatic cancer from the Gene Expression Omnibus database in an effort to identify differentially expressed microRNAs (miRNAs/miRs) that may be suitable for application in liquid biopsy-based diagnostics. Suitable miRNA candidates were identified using a weighted correlation network analysis (WGCNA) and key differentially expressed miRNAs were verified using reverse transcription-quantitative PCR. WGCNA identified 11 differentially expressed miRNAs (miR-155-5p, miR-4668-5p, miR-3613-3p, miR-3201, miR-548ac, miR-486-5p, miR-548a-3p, miR-8084, miR-455-3p, miR-6068 and miR-1246). Of these, miR-4668-5p was indicated to have the highest number of associated modules, making it most likely to be of diagnostic value. Thus, the present analysis identified 11 miRNAs associated with pancreatic cancer and further identified miR-4668-5p as a potential biomarker for pancreatic cancer diagnosis.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.