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Deciphering key genes involved in cisplatin resistance in kidney renal clear cell carcinoma through a combined in silico and in vitro approach
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作者 MUNEEBA MALIK MAMOONA MAQBOOL +8 位作者 TOOBA NISAR TAZEEM AKHTER javed ahmed ujan ALANOOD SALGARNI FAKHRIA AAL JOUFI SULTAN SHAFI KALANAZI MOHAMMAD HADI ALMOTARED MOUNIR MSALEM BEKHIT MUHAMMAD JAMIL 《Oncology Research》 SCIE 2023年第6期899-916,共18页
The low survival rate of Kidney renal clear cell carcinoma(KIRC)patients is largely attributed to cisplatin resistance.Rather than focusing solely on individual proteins,exploring protein-protein interactions could of... The low survival rate of Kidney renal clear cell carcinoma(KIRC)patients is largely attributed to cisplatin resistance.Rather than focusing solely on individual proteins,exploring protein-protein interactions could offer greater insight into drug resistance.To this end,a series of in silico and in vitro experiments were conducted to identify hub genes in the intricate network of cisplatin resistance-related genes in KIRC chemotherapy.The genes involved in cisplatin resistance across KIRC were retrieved from the National Center for Biotechnology Information(NCBI)database using search terms as“Kidney renal clear cell carcinoma”and“Cisplatin resistance”.The genes retrieved were analyzed for hub gene identification using the STRING database and Cytoscape tool.Expression and promoter methylation profiling of the hub genes was done using UALCAN,GEPIA,OncoDB,and HPA databases.Mutational,survival,functional enrichment,immune cell infiltration,and drug prediction analyses of the hub genes were performed using the cBioPortal,GEPIA,GSEA,TIMER,and DrugBank databases.Lastly,expression and methylation levels of the hub genes were validated on two cisplatin-resistant RCC cell lines(786-O and A-498)and a normal renal tubular epithelial cell line(HK-2)using two high throughput techniques,including targeted bisulfite sequencing(bisulfite-seq)and RT-qPCR.A total of 124 genes were identified as being associated with cisplatin resistance in KIRC.Out of these genes,MCL1,IGF1R,CCND1,and PTEN were identified as hub genes and were found to have significant(p<0.05)variations in their mRNA and protein expressions and effects on the overall survival(OS)of the KIRC patients.Moreover,an aberrant promoter methylation pattern was found to be associated with the dysregulation of the hub genes.In addition to this,hub genes were also linked with different cisplatin resistance-causing pathways.Thus,hub genes can be targeted with Alvocidib,Estradiol,Tretinoin,Capsaicin,Dronabinol,Metribolone,Calcitriol,Acetaminophen,Acitretin,Cyclosporine,Azacitidine,Genistein,and Resveratrol drugs.As the pathogenesis of KIRC is complex,targeting hub genes and associated pathways involved in cisplatin resistance could bring a milestone change in the drug discovery and management of drug resistance,which might uplift overall survival among KIRC patients. 展开更多
关键词 KIRC Cisplatin resistance CHEMOTHERAPY Overall survival
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基于主成分分析的云南玉溪市生态安全评价研究 被引量:9
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作者 杨乐 丁伟 +2 位作者 于龙 施玉 javed ahmed ujan 《广东农业科学》 CAS CSCD 北大核心 2013年第6期190-192,共3页
以云南省为研究对象,采用PSR(压力Press—状态State—响应Response)模型建立玉溪市生态安全评价指标体系,运用主成分分析法对2005—2009年玉溪市的生态安全现状进行分析和综合评价。结果显示,压力指标呈逐年上升趋势,必须在控制人口数... 以云南省为研究对象,采用PSR(压力Press—状态State—响应Response)模型建立玉溪市生态安全评价指标体系,运用主成分分析法对2005—2009年玉溪市的生态安全现状进行分析和综合评价。结果显示,压力指标呈逐年上升趋势,必须在控制人口数量的前提下,加快城市化进程;状态指标同样呈上升趋势,说明政府对公共设施的投入增加,经济发展和环境保护得到了关注;相应指标也呈上升趋势,说明政府为改善环境作出了努力。 展开更多
关键词 主成分分析 PSR模型 生态安全
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