Introduction: Accumulated studies have suggested that hepatitis C virus (HCV) infection is one of the leading causes for hepatocellular carcinoma (HCC). However, the mechanisms underlying the effect of HCV on the occurrence of HCC is still poorly understood. Methods: HCV infection datasets (GSE82177 and GSE17856) and HCC datasets (TCGA-LIHC (The Cancer Genome Atlas Liver Hepatocellular Carcinoma) and GSE89377) were downloaded from Gene Expression Omnibus (GEO) or TCGA for analysis. The common differentially expressed genes (DEGs) in the above four datasets were identified by R software. The expression of Ubiquitin D (UBD) in HCV infected HepG2 cells was detected by RT-qPCR and western blot, respectively. The interaction between NS3 and p53 was detected by Co-Immunoprecipitation. The influence of UBD on the proliferation and migration ability of HepG2 cells was evaluated by CCK-8 and wound healing assay, respectively. Results: UBD was upregulated in both HCV infected samples and HCC samples. HCV NS3 interacted with p53 and inhibited its expression. HCV NS3 induced UBD promoted the proliferation and migration of HepG2 cells. Conclusion: Our results suggest that HCV NS3 induced UBD is positively correlated with the development of HCV-related HCC during HCV infection. Targeting UBD could be a potential strategy for preventing and treating HCV-induced HCC.
Abstract Background: Stromal components of the tumor microenvironment contribute to bladder cancer progression, and Cancer-Associated Fibroblasts (CAFs) were reported to play an important role. Accumulating pieces of evidence indicate that CAFs participate in the crosstalk with tumor cells and have a complex interaction network with immune components. Further study of the role of CAFs in the bladder cancer microenvironment and the search for possible specific markers are important for a deeper understanding of the roles of CAFs in bladder cancer progression and immunomodulation. Methods: In the present study, we examined the abundance of CAFs in the TCGA and GEO datasets using the MCP-Counter algorithm. Additionally, the expression of genes related to CAFs was analyzed through the Weighted Gene Co-expression Network Analysis (WGCNA). The CIBERSORT and ESTIMATE algorithms were used for the correlation analysis between the key CAFs related gene and the tumor microenvironment components.Immunohistochemistry analysis in clinical samples was used to validate the results of bioinformatics analysis. Results: The results showed that CAFs were closely associated with the progression and prognosis of bladder cancer. WGCNA also revealed that CALD1 was a key gene significantly associated with CAFs in bladder cancer. Moreover, the further in-depth analysis showed that CALD1 significantly affected the progression and prognosis of bladder cancer. The CIBERSORT and ESTIMATE algorithms significant correlations between CALD1 and the tumor microenvironment components, including CAFs, macrophages, T cells, and multiple immune checkpoint related genes. Finally, immunohistochemistry results of clinical samples' validated the strong association between CALD1, CAFs, and macrophages. Conclusions: In the present study, we confirmed the cancer-promoting roles of CAFs in bladder cancer. Being a key gene associated with CAFs, CALD1 may promote bladder cancer progression by remodeling the tumor microenvironment. The bioinformatics methods, including the CIBERSORT, MCP-COUNTER and ESTIMATE algorithms, may provide important value for studying the tumor microenvironment.
We achieve trapping and aligning of microparticles by using a miniature capacitive micromachined ultrasonic transducer (CMUT) combined with a phononic crystal plate (PCP). The interaction of an incident wave generated by CMUT with the PCP at resonant frequency can result in periodic and gradient field near the surface of PCP. Then the microparticles on the surface of PCP suffer the acoustic radiation force and can be arranged regularly. Our observations show that the sound field generated by the CMUT device is feasible for particles manipulation.
Twenty-four-hour oscillations of circadian rhythms control comprehensive biological processes in the human body. In lung adenocarcinoma (LUAD), chronic circadian rhythm disruption is positively associated with tumorigenesis. However, few studies focus on circadian clock gene signatures (CGSs) for prognosis evaluation of patients with early-stage LUAD.In this study, we aimed to construct a robust prognostic circadian rhythm-related biomarker from multiple public databases, including the Gene Expression Omnibus database and The Cancer Genome Atlas database. The least absolute shrinkage and selection operator (LASSO)-penalized Cox regression model was performed to select optimal circadian clock gene pairs. Bioinformatic analyses were performed to estimate the abundance of different immune cells and immunohistochemical analyses were conducted to validate the differential proportion of tumor-infiltrating lymphocytes in different groups.Results demonstrated that the CGS could accurately identify patients with early-stage LUAD at a high risk in the training dataset [hazard ratio (HR) =3.06; 95% confidence interval (CI): 2.47-3.78; P<0.001], testing dataset (HR =2.44; 95% CI: 1.74-3.43; P<0.001), and validation dataset (HR =2.09, 95% CI: 1.09-4.00; P=0.023). Bioinformatic and immunohistochemical analyses demonstrated that the abundance of tumor-infiltrating CD4+ T cells was higher in the low-CGS groups. Integration of the CGS and clinical characteristics improved the accuracy of the CGS in predicting overall survival (OS) of patients with early-stage LUAD.In conclusion, the CGS was an independent immune-related circadian biomarker that could identify early-stage LUAD patients with different OS.
Bladder cancer (BLCA) has become one of the most common malignant tumors in the genitourinary system. BLCA is one of the tumors considered suitable for immunotherapy because of the large proportion of immune cells in TME. Epithelial to mesenchymal transition (EMT) is closely related to tumor immunity through its crosstalk with immune cells. A recent study validated that EMT-related genes were mainly expressed by stromal cells and could influence immunotherapy responsiveness. Stromal EMT-related gene signature was also demonstrated to affect the prognosis of multiple tumors, including BLCA. To further explore the prognostic roles of stromal components, we performed a comprehensive analysis of LncRNAs closely associated with stromal EMT-related genes in the TCGA BLCA cohort. We identified a signature including five stromal EMT gene-related LncRNAs that showed significant prognostic value for BLCA patients. By the CIBERSORT and MCP-COUNTER algorithm, we found the signature was markedly correlated with infiltrated immune cells and stromal components of the tumor microenvironment, which may further influence patient’s responsiveness to immune checkpoint blockade therapy. Through immunohistochemical analysis, we confirmed the correlation of the signature with macrophages M2 and CAFs. Meanwhile, key genes related to these LncRNAs, including VIM, MMP2, were also differentially expressed in the stromal components concerning the signature. Our research confirmed the prognostic and immune-associated role of stromal EMT-related LncRNAs. Meantime, we further confirmed that EMT-related genes were mainly expressed in stromal components. Targeting these LncRNAs as well as their related stromal EMT genes may provide potential therapeutic targets for BLCA immunotherapy and precision medicine.
Abstract Transitional cell carcinoma (TCC) is the most common type of bladder cancer but its carcinogenesis remains not completely elucidated. Dysregulation of microRNAs (miRNAs) is well known to be involved in the development of various cancers, including TCC, whereas a role of miR-3713 in the pathogenesis of TCC has not been appreciated. Here, we reported that significantly higher levels of matrix metallopeptidase 9 (MMP9) and significantly lower levels of miR-3713 were detected in TCC tissue, compared to the adjacent non-tumor tissue and were inversely correlated. Moreover, the low miR-3713 levels in TCC specimens were associated with poor survival of the patients. In vitro , overexpression of miR-3713 significantly decreased cell invasion and depletion of miR-3713 increased cell invasion in TCC cells. The effects of miR-3713 on TCC cell growth appeared to result from its modification of MMP9 levels, in which miR-3713 was found to bind to the 3′-UTR of MMP9 mRNA to inhibit its protein translation in TCC cells. This study highlights miR-3713 as a previously unrecognized factor that controls TCC invasiveness, which may be important for developing innovative therapeutic targets for TCC treatment.
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