renal clear cell carcinoma
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Neoplasia ◽  
2022 ◽  
Vol 24 (2) ◽  
pp. 145-154
Author(s):  
Omar A. Saad ◽  
Wei Tse Li ◽  
Aswini R. Krishnan ◽  
Griffith C. Nguyen ◽  
Jay P. Lopez ◽  
...  

2022 ◽  
Author(s):  
Wei Zhang ◽  
Yue Qian ◽  
Xue Jin ◽  
Yixian Wang ◽  
Lili Mu

Abstract Background: SIRT7 has been shown to be expressed in many cancer types, including kidney renal clear cell carcinoma (KIRC), but its functional role in this oncogenic context remains to be firmly defined. This study was designed to explore correlations between SIRT7 and KIRC characteristics using the TCGA database. Methods: Relationships between SIRT7 expression and KIRC patient clinicopathological characteristics were assessed through Kruskal-Wallis tests, Wilcoxon signed-rank tests, and logistic regression analyses. Area under the ROC curve (AUC) values were used to assess the prognostic value of SIRT7 as a means of classifying KIRC patients. The functional role of SIRT7 in this cancer type was assessed through GO/KEGG enrichment analyses and immune cell infiltration analyses. Results: In KIRC patients, higher levels of SIRT7 expression were associated with Race, M stage, T stage (all P < 0.05). SIRT7 offered significant diagnostic value in ROC curve analyses (AUC = 0.912), and elevated SIRT7 levels were linked to worse patient overall survival (OS; P < 0.001). The expression of SIRT7 was independently related with KIRC patient OS (HR: 1.827; 95%CI: 1.346-2.481; P<0.001). In GO/KEGG analyses, SIRT7 was found to be associated with ubiquitin-mediated proteolysis and nucleotide excision repair. Higher SIRT7 expression was related to the enhanced infiltration of certain immune cells.Conclusions: Increased SIRT7 expression was associated with a worse KIRC patient prognosis, and immune infiltrates, suggesting it may offer value as a prognostic biomarker for this cancer type.


2022 ◽  
Author(s):  
Yong Li ◽  
Huiqin Huang ◽  
Xiangli Ye ◽  
Xiaoping Li ◽  
Zhenghui Huang ◽  
...  

Abstract Liver and lymph node sinusoidal endothelial cell C-type lectin (CLEC4G) interacts with the surface glycoproteins of enveloped viruses and mediates immune evasion for viruses. Recent studies have indicated that the expression of CLEC4G affects the development and microenvironment of tumors. In the present study, we revealed comprehensive characterization of CLEC4G expression across human cancers. We first explored the effect of CLEC4G expression on overall survival (OS) across human cancers. High expression of CLEC4G was beneficial in lung adenocarcinoma (LUAD) and detrimental in kidney renal clear cell carcinoma (KIRC) and uveal melanoma (UVM) in terms of OS. Enrichment analysis of the 14 cancer-related signatures suggested that CLEC4G regulated tumor metastasis and immune response. Enrichment analysis of the immunophenotypes and cancer-immunity cycles indicated that CLEC4G was involved in regulation of macrophages and Treg cells, which affected tumor immune response. We also observed correlations between CLEC4G expression and checkpoint molecular expression in different cancer types. Taken together, the present study revealed the comprehensive characterization of CLEC4G expression across human cancers, predicting the roles of CLEC4G in the development and immune microenvironment of tumors.


2022 ◽  
Author(s):  
Fu Liu ◽  
Xinyuan Li ◽  
Xiang Zhou ◽  
Hang Tong ◽  
Xin Gou

Abstract Background: Renal cell carcinoma is the most common aggressive tumor of the genitourinary system. The main pathological subtype is clear cell renal cell carcinoma (ccRCC), and its treatment options are very limited. Therefore, identifying specific markers of renal clear cell carcinoma is of great significance for diagnosis and prognosis.Methods: From the TCGA database, we obtained information on 611 patients with renal clear cell carcinoma to analyze the relationship between hypoxia-related lncRNAs and overall survival. According to the coexpression of hypoxia genes and lncRNAs, genes related to hypoxia were identified. Difference analysis and Cox regression analysis were applied to assess survival-related risk factors. According to the median risk score of hypoxia-related genes, patients were divided into high-risk and low-risk groups. According to these gene characteristics and clinical parameters, a nomogram map was built, and GSEA was used for gene function annotation. RT-qRCR, Western Blot and Flow Cytometry were used to determine the role of SNHG19 in RCC cells.Results: By analyzing the coexpression of hypoxia genes and lncRNAs, 310 hypoxia-related genes were obtained. Six sHRlncRs were significantly correlated with the clinical outcomes of patients with ccRCC. Four sHRlncRs (AC011445.2, PTOV1-AS2, AP004609.3, and SNHG19) with the highest prognostic values were included in the group to construct the HRRS model. The high-risk group had a shorter OS than the low-risk group. HR-lncRNAs were considered to be an independent prognostic factor and associated with OS. The high- and low-risk groups showed different pathways in GSEA. Experiments showed that SNHG19 plays essential roles in autophagy and apoptosis of RCC cells.Conclusion: Our research shows that we established and verified a hypoxia-related lncRNA model that accurately correlates with ccRCC patients. This study also provides novel insights into hypoxia-based mechanisms and provides new biomarkers for the poor prognosis of ccRCC patients.


2022 ◽  
Vol 8 ◽  
Author(s):  
Lei Sun ◽  
Zijun Zhang ◽  
Hang Zhao ◽  
Miaoyun Qiu ◽  
Ying Wen ◽  
...  

TRPM2 (transient receptor potential melastatin-2), a Ca2+ permeable, non-selective cation channel, is highly expressed in cancers and regulates tumor cell migration, invasion, and proliferation. However, no study has yet demonstrated the association of TRPM2 with the prognosis of cancer patients or tumor immune infiltration, and the possibility and the clinical basis of TRPM2 as a prognostic marker in cancers are yet unknown. In the current study, we first explored the correlation between the mRNA level of TRPM2 and the prognosis of patients with different cancers across public databases. Subsequently, the Tumor Immune Estimation Resource (TIMER) platform and the TISIDB website were used to assess the correlation between TRPM2 and tumor immune cell infiltration level. We found that 1) the level of TRPM2 was significantly elevated in most tumor tissues relative to normal tissues; 2) TRPM2 upregulation was significantly associated with adverse clinical characteristics and poor survival of kidney renal clear cell carcinoma (KIRC) patients; 3) the level of TRPM2 was positively related to immune cell infiltration. Moreover, TRPM2 was closely correlated to the gene markers of diverse immune cells; 4) a high TRPM2 expression predicted worse prognosis in KIRC based on different enriched immune cell cohorts; and 5) TRPM2 was mainly implemented in the T-cell activation process indicated by Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. In conclusion, TRPM2 can serve as a marker to predict the prognosis and immune infiltration in KIRC through the regulation of T-cell activation. The current data may provide additional information for further studies surrounding the function of TRPM2 in KIRC.


2021 ◽  
Vol 8 ◽  
Author(s):  
Guangyuan Zhang ◽  
Lei Zhang ◽  
Si Sun ◽  
Ming Chen

Background: As a common cancer of the urinary system in adults, renal clear cell carcinoma is metastatic in 30% of patients, and 1–2 years after diagnosis, 60% of patients die. At present, the rapid development of tumor immunology and autophagy had brought new directions to the treatment of renal cancer. Therefore, it was extremely urgent to find potential targets and prognostic biomarkers for immunotherapy combined with autophagy.Methods: Through GSE168845, immune-related genes, autophagy-related genes, and immune-autophagy-related differentially expressed genes (IAR-DEGs) were identified. Independent prognostic value of IAR-DEGs was determined by differential expression analysis, prognostic analysis, and univariate and multivariate Cox regression analyses. Then, the lasso Cox regression model was established to evaluate the correlation of IAR-DEGs with the immune score, immune checkpoint, iron death, methylation, and one-class logistic regression (OCLR) score.Results: In this study, it was found that CANX, BID, NAMPT, and BIRC5 were immune-autophagy-related genes with independent prognostic value, and the risk prognostic model based on them was well constructed. Further analysis showed that CANX, BID, NAMPT, and BIRC5 were significantly correlated with the immune score, immune checkpoint, iron death, methylation, and OCLR score. Further experimental results were consistent with the bioinformatics analysis.Conclusion: CANX, BID, NAMPT, and BIRC5 were potential targets and effective prognostic biomarkers for immunotherapy combined with autophagy in kidney renal clear cell carcinoma.


2021 ◽  
Author(s):  
Chenxia Jiang ◽  
Xinyu Zhang ◽  
Xiaoyan Li ◽  
Jia Li ◽  
Hua Huang

Abstract Background: Relevant study had demonstrated that Paraoxonase-1 (PON1) had relationship with occurrence and development of tumors which suggested that PON1 was a key gene in promoting tumor progression. However, the relationship between PON1 and Kidney renal clear cell carcinoma (KIRC) is still unclear so far. Methods: We downloaded relevant data about KIRC from TCGA dataset and compared it with normal renal tissues. Immunohistochemistry (IHC) was applied to analyze the expression of PON1. Univariate cox regression analysis and multivariate cox regression analysis were also utilized to analyze independent factors associated with prognosis. Gene set enrichment analysis was conducted to find the signaling pathways of PON1 in KIRC. Finally, we also investigated whether PON1 had relationship with immunity. Results: As shown in results, PON1 expression was decreased in KIRC compared with adjacent paracancer tissues. Immunohistochemistry (IHC) was utilized to find the expression of PON1. After survival analysis, the high expression of PON1 was significantly related to overall survival (P<0.001). Univariate/Multivariate cox regression analysis both revealed that PON1 could serve as an independent prognostic factor. To analyze overall survival (OS) of patients with KIRC, nomogram was developed. GSEA revealed that PON1 was correlated with homologous recombination. Besides, PON1 had few relationships with immunity. Conclusions: Our results revealed that PON1 could serve as an independent prognostic factor for KIRC, providing a novel target for KIRC future treatments.


2021 ◽  
Vol 9 (1) ◽  
pp. 27-32
Author(s):  
Danilo Coco ◽  
Silvana Leanza

Von Hippel-Lindau syndrome (VHL) is an autosomal dominant disease caused by a genetic aberration of the tumor suppressor gene VHL and characterized by multi-organ tumors. The most common neoplasm is retinal or cerebral hemangioblastoma, although spinal hemangio-blastomas, Renal Clear Cell Carcinoma (RCCC), pheochromocytomas (Pheo), paragangliomas, Pancreatic Neuroendocrine Tumors (PNETs), cystadenomas of the epididymis, and tumors of the lymphatic sac can also be found. Neurological complications from retinal or CNS hemangio-blastoma and metastases of RCCC are the most common causes of death. There is a strong association between pheochromocytoma and VHL syndrome, and pheochromocytoma is often a classic manifestation of the syndrome. RCCCs are often incidental and identified during other tests. Between 35 and 70% of patients with VHL have pancreatic cysts. These can manifest as simple cysts, serous cystoadenomas, or PNETs with a risk of malignant degeneration or metastasis of no more than 8%. The objective of this retrospective study is to analyze abdominal manifestations of VHL from a surgical point of view.


2021 ◽  
Vol 12 ◽  
Author(s):  
Zhi-Yong Yao ◽  
Chaoqung Xing ◽  
Yuan-Wu Liu ◽  
Xiao-Liang Xing

Almost 75% of renal cancers are renal clear cell carcinomas (KIRC). Accumulative evidence indicates that epigenetic dysregulations are closely related to the development of KIRC. Cancer immunotherapy is an effective treatment for cancers. The aim of this study was to identify immune-related differentially expressed genes (IR-DEGs) associated with aberrant methylations and construct a risk assessment model using these IR-DEGs to predict the prognosis of KIRC. Two IR-DEGs (SLC11A1 and TNFSF14) were identified by differential expression, correlation analysis, and Cox regression analysis, and risk assessment models were established. The area under the receiver operating characteristic (ROC) curve (AUC) was 0.6907. In addition, we found that risk scores were significantly associated with 31 immune cells and factors. Our present study not only shows that two IR-DEGs can be used as prognosis signatures for KIRC, but also provides a strategy for the screening of suitable prognosis signatures associated with aberrant methylation in other cancers.


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