Identification of hub genes associated with outcome of clear cell renal cell carcinoma.
Identification of hub genes associated with outcome of clear cell renal cell carcinoma. Oncol Lett. 2020 Apr;19(4):2846-2860 Authors: Li R, Wang L, Wang X, Geng RX, Li N, Liu XH Abstract Clear cell renal cell carcinoma (ccRCC) is one of the most common tumor types of the urinary system. Bioinformatics tools have been used to identify new biomarkers of ccRCC and to explore the mechanisms underlying development and progression of ccRCC. The present study analyzed the differentially expressed genes (DEGs) associated with RCC using data obtained from Gene Expression Omnibus datasets and GEO2R software. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of these DEGs was performed and analyzed using the Database for Annotation, Visualization and Integrated Discovery. A protein-protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes to identify the hub genes, defined as the genes with the highest degree of interrelation. Subsequently, differential expression and survival analyses of hub genes was performed using The Cancer Genome Atlas database and Gene Expression Profiling Interactive Analysis (GEPIA) online tool. Using GEO2R, 1,650 DEGs were identified, including 743 upregulated and 907 downregulated genes. GO and KEGG pathway analyses indicated that the upregulated DEGs were primarily involved in blood vessel and vasculature development, whereas downregulate...
Despite the emphasis on randomized data to guide evidence-based practice, there is a notable lack of clinical trials to inform comparative effectiveness in surgical disciplines. Although this is multifactorial in nature, this paucity ultimately reflects the difficulty associated with conducting surgical trials, particularly in settings where event rates are low (eg, lymph node metastasis in M0 renal cell carcinoma) or when long follow-up is required, as with early-stage disease (eg, low-risk prostate cancer).
Publication date: Available online 23 May 2020Source: European UrologyAuthor(s): David J. Pinato
Conclusion: By linking the NSKCR to several Swedish national databases, a unique database for RCC research has been created. PMID: 32436435 [PubMed - as supplied by publisher]
CONCLUSIONS: RP11-567G11.1 accelerates the proliferative and invasive abilities of RCC through activating the Notch pathway. Our findings suggest that it may be a new therapeutic target for RCC. PMID: 32432737 [PubMed - in process]
Conclusions: Taken together, we identified the key iron metabolism-related and methylated genes for ccRCC through a comprehensive bioinformatics analysis. This study provides a reliable and robust gene signature for the prognostic predictor of ccRCC patients and maybe provides a promising treatment strategy for this lethal disease.
British Journal of Cancer, Published online: 22 May 2020; doi:10.1038/s41416-020-0890-yIdentification of low-dose multidrug combinations for sunitinib-naive and pre-treated renal cell carcinoma
Condition: Primary Disease: Unresectable or Metastatic Renal Cell Carcinoma Focus of the Study:PFS Assessed by IRC Per RECIST 1.1 Intervention: Combination Product: Biological : Toripalimab Drug: Axitinib sunitinib Sponsor: Shanghai Junshi Bioscience Co., Ltd. Not yet recruiting
Abstract Clear cell renal cell carcinoma (ccRCC) remains one of the most common cancer types globally, and while it has been extensively studied, the molecular basis for its pathology remains incompletely understood. Herein, we profiled three previously published datasets (GSE66272, GSE100666, and GSE105261) in a single integrated analysis aimed at identifying disease-associated patterns of gene expression that may offer mechanistic insight into the drivers of this disease. We pooled expression data from 39 normal kidney samples and 39 kidney tumors, leading us to identify 310 differentially expressed genes (DEGs)...
Tushar A Narain, Gagan Gautam, Amlesh Seth, Vikas K Panwar, Sudhir Rawal, Puneet Dhar, Harkirat S Talwar, Amitabh Singh, Jiten Jaipuria, Ankur MittalIndian Journal of Cancer 2020 57(2):129-138 The Corona Virus Disease-2019 (COVID-19), one of the most devastating pandemics ever, has left thousands of cancer patients to their fate. The future course of this pandemic is still an enigma, but health care services are expected to resume soon in a phased manner. This might be a long drawn process and we need to have policies in place, to be able to fight both, the SARS-CoV-2 virus and cancer, simultaneously, and emerge triumphan...