Objective: Renal cell carcinoma (RCC) is one of the most common and life-threatening cancers in the world. Accumulating evidence suggest propofol inhibits the initiation and development of cancers. The main focus of the study was to explore the effect of propofol on RCC and its mechanism of action.
Methods: In this study, different doses of propofol were used to treat human RCC cell lines i.e., OSRC-2 and SW839. Western blot and trans-well assays were used for the evaluation of RCC cell invasion, proliferation, migration, and transition of epithelial to mesenchymal (EMT). RCC cells following 5 μmol/L propofol treatment for 24 h were applied in the subsequent experiments. Expression of MicroRNAs-363 (miR-363) in cells with or without propofol treatment were analyzed. The expression of Snail1, Vimentin, N-cadherin, and E-cadherin in RCC cells was measured, and then the effect of loss-of-function of miR-363 and gain-of-function of Snail on RCC cells were analyzed. The targeted relationship between miR-363 and Snail1 was investigated using luciferase assay and RIP, RNA pull down.
Results: Propofol reduced the migration, proliferation, invasion and EMT of RCC cells in a dose-dependent way. Propofol elevated miR-363 expression but reduced Snail1 expression, and it reduced Vimentin and N-cadherin but increased E-cadherin expression in RCC cells. miR-363 directly bounds to Snail1. miR-363 inhibition or Snail1 promotion reversed propofol-inhibited malignant behaviors of RCC cells.
Conclusion: Our study found that propofol could inhibit invasion, migration, proliferation and EMT of RCC cells by promoting miR-363 expression and suppressing Snail1 expression.
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BMC Immunol
January 2025
Laboratoire Génomique, Bioinformatique, et Chimie Moléculaire, Conservatoire National des Arts et Métiers, 2 rue Conté 75003, Paris, EA7528, France.
Introduction: We have reanalyzed the genomic data from the International Collaboration for the Genomics of HIV (ICGH), focusing on HIV-1 Elite Controllers (EC).
Methods: A genome-wide association study (GWAS) was performed, comparing 543 HIV-1 EC individuals with 3,272 uninfected controls (CTR) of European ancestry. 8 million single nucleotide polymorphisms (SNPs) and HLA class I and class II gene alleles were imputed to compare EC and CTR.
Zhonghua Bing Li Xue Za Zhi
January 2025
Department of Pathology, Jinling Hospital, Nanjing University School of Medicine, Nanjing210002, China.
To investigate the clinicopathological features, immunophenotype, molecular characteristics, and differential diagnosis of MED15-TFE3 gene fusion renal cell carcinoma (MED15-TFE3 RCC). A total of 12 MED15-TFE3 RCCs, diagnosed from 2016 to 2023, were collected from the Department of Pathology of Nanjing Jinling Hospital, Nanjing University School of Medicine, Nanjing, China for clinicopathologic, immunohistochemical, fluorescence in situ hybridization (FISH) and RNA sequencing (RNA-seq) analyses and follow-up. In addition, its diagnosis and differential diagnosis were also explored.
View Article and Find Full Text PDFJ Immunother Cancer
January 2025
National Translational Science Center for Molecular Medicine & Department of Cell Biology, Fourth Military Medical University, Xi'an, Shaanxi, China
Background: Clear cell renal cell carcinoma (ccRCC) is the most common histologic type of RCC. However, the spatial and functional heterogeneity of immunosuppressive cells and the mechanisms by which their interactions promote immunosuppression in the ccRCC have not been thoroughly investigated.
Methods: To further investigate the cellular and regional heterogeneity of ccRCC, we analyzed single-cell and spatial transcriptome RNA sequencing data from four patients, which were obtained from samples from multiple regions, including the tumor core, tumor-normal interface, and distal normal tissue.
Cancer Cell Int
January 2025
Department of Urology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China.
Background: Tumor microenvironment (TME) plays a crucial role in tumor growth and metastasis. Exploring biomarkers that are significantly associated with TME can help guide individualized treatment of patients.
Methods: We analyzed the expression and survival of P4HB in pan-cancer through the TCGA database, and verified the protein level of P4HB by the HPA database.
Cell Commun Signal
January 2025
Centre of Postgraduate Medical Education, Centre of Translation Research, Department of Biochemistry and Molecular Biology, ul. Marymoncka 99/103, Warsaw, 01-813, Poland.
Background: Renal cell cancer (RCC) is the most common and highly malignant subtype of kidney cancer. Mesenchymal stromal cells (MSCs) are components of tumor microenvironment (TME) that influence RCC progression. The impact of RCC-secreted small non-coding RNAs (sncRNAs) on TME is largely underexplored.
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