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1.
Medicine (Baltimore) ; 103(2): e35722, 2024 Jan 12.
Artigo em Inglês | MEDLINE | ID: mdl-38215110

RESUMO

OBJECTS: Human bladder cancer (BC) is the most common urogenital system malignancy. E2F transcription factors (E2Fs) have been reported to be involved in the growth of various cancers. However, the expression patterns, prognostic value and immune infiltration in the tumor microenvironment of the 8 E2Fs in BC have yet fully to be explored. METHODS AND STRATEGY: We investigated the differential expression of E2Fs in BC patients, the prognostic value and correlation with immune infiltration by analyzing a range of databases. RESULTS: We found that the mRNA expression levels of E2F1/2/3/4/5/7/8 were significantly higher in BC patients than that of control tissues. And the increased mRNA expression levels of all E2Fs were associated with tumor stage of BC. The survival analysis revealed that the elevated mRNA expression levels of E2F3/5/8 were significantly correlated with the overall survival (OS) of BC patients. And the genetic changes of E2Fs in BC patients were associated with shorter overall survival (OS) and progression-free survival (PFS). In addition, we revealed that the E2F3/5/8 expressions were closely correlated with tumor-infiltrating lymphocytes (TILs). CONCLUSIONS: E2F3/5/8 might serve as promising prognostic biomarkers and new therapeutic direction for BC patients.


Assuntos
Linfócitos do Interstício Tumoral , Neoplasias da Bexiga Urinária , Humanos , Prognóstico , Linfócitos do Interstício Tumoral/metabolismo , Neoplasias da Bexiga Urinária/genética , Neoplasias da Bexiga Urinária/patologia , RNA Mensageiro , Biomarcadores , Biomarcadores Tumorais/genética , Microambiente Tumoral , Fator de Transcrição E2F3/genética , Fator de Transcrição E2F3/metabolismo
2.
Bioengineered ; 12(1): 2957-2969, 2021 12.
Artigo em Inglês | MEDLINE | ID: mdl-34180759

RESUMO

Aberrant expression of the chemokine CXC receptor 4 (CXCR4) is closely associated with cancer progression and drug-resistance in multiple cancers, and we first investigated the role of CXCR4 in regulating cancer pathogenesis and cisplatin (DDP)-resistance in clear cell renal cell carcinoma (ccRCC) in the present study. Here, we identified that CXCR4 acted as an oncogene to promote cancer progression and genetically silencing of CXCR4 increased cisplatin (DDP)-sensitivity in ccRCC in vitro and in vivo. Functionally, analysis from the clinical and cellular data indicated that CXCR4 was significantly upregulated in ccRCC tissues and cells, compared to their normal counterparts. Next, the loss-of-function experiments validated that knock-down of CXCR4 suppressed cell proliferation, invasion, migration and epithelial-mesenchymal transition (EMT) in ccRCC cells, while CXCR4 overexpression had opposite effects on the above cellular functions. Consistently, the xenograft tumor-bearing mice models were established, and the results supported that knock-down of CXCR4 inhibited tumor growth and the expression levels of Ki67 protein in vivo. In addition, the ccRCC cells were exposed to DDP treatment, and we surprisingly found that upregulation of CXCR4 increased DDP-resistance in ccRCC cells, and conversely, CXCR4 ablation sensitized ccRCC cells to DDP stimulation. Taken together, we concluded that CXCR4 ablation hindered cancer progression and enhanced DDP-sensitivity in ccRCC, and the present study identified a novel therapeutic biomarker for ccRCC.


Assuntos
Carcinoma de Células Renais , Cisplatino/farmacologia , Resistencia a Medicamentos Antineoplásicos/genética , Neoplasias Renais , Receptores CXCR4/genética , Animais , Antineoplásicos/farmacologia , Carcinoma de Células Renais/genética , Carcinoma de Células Renais/metabolismo , Carcinoma de Células Renais/patologia , Linhagem Celular Tumoral , Proliferação de Células/efeitos dos fármacos , Proliferação de Células/genética , Inativação Gênica , Humanos , Neoplasias Renais/genética , Neoplasias Renais/metabolismo , Neoplasias Renais/patologia , Masculino , Camundongos , Camundongos Nus , Receptores CXCR4/metabolismo
3.
Medicine (Baltimore) ; 99(21): e20470, 2020 May 22.
Artigo em Inglês | MEDLINE | ID: mdl-32481352

RESUMO

Clear cell renal cell carcinoma (ccRCC) is the most common subtype among renal cancer, and more and more researches find that the occurrence of ccRCC is associated with genetic changes, but the molecular mechanism still remains unclear. The present study aimed to identify aggregation trend of differentially expressed genes (DEGs) in ccRCC, which would be beneficial to the treatment of ccRCC and provide research ideas using a series of bioinformatics approach. Gene ontology (GO) and Kyoto Encyclopedia of Gene and Genomes (KEGG) analysis were used to get the enrichment trend of DEGs of GSE53757 and GSE16449. Draw Venn Diagram was applied for co-expression of DEGs. Cytoscape with the Retrieval of Interacting Gene (STRING) datasets and Molecular Complex Detection (MCODE) were performed protein-protein interaction (PPI) of DEGs. The Kaplan-Meier Plotter analysis of top 15 upregulated and top 15 downregulated were selected in Gene Expression Profiling Interactive Analysis (GEPIA). Then, the expression level of hub genes between normal renal tissue and different pathological stages of ccRCC tissue, which significantly correlated with overall survival in ccRCC patients, were also analyzed by Ualcan based on The Cancer Genome Atlas (TCGA) database. In this study, we got 167 co-expression DEGs, including 72 upregulated DEGs and 95 downregulated DEGs. We identified 11 hub genes had significantly correlated with overall survival in ccRCC patients. Among them, KIF23, APLN, ADCY1, GREB1, TLR4, IRF8, CXCL1, CXCL2, deserved our attention.


Assuntos
Adenocarcinoma de Células Claras/genética , Carcinoma de Células Renais/genética , Biologia Computacional/estatística & dados numéricos , Perfilação da Expressão Gênica/métodos , Estudos Observacionais como Assunto/normas , Adenocarcinoma de Células Claras/diagnóstico , Biomarcadores Tumorais/análise , Biomarcadores Tumorais/genética , Carcinoma de Células Renais/diagnóstico , Biologia Computacional/métodos , Bases de Dados Factuais/estatística & dados numéricos , Epidemiologia/instrumentação , Perfilação da Expressão Gênica/instrumentação , Perfilação da Expressão Gênica/estatística & dados numéricos , Humanos , Estimativa de Kaplan-Meier
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