EVI2A has emerged as a significant biomarker in various diseases;however,its biological role and mechanism in kidney renal clear cell carcinoma(KIRC)remains unexplored.We used TCGA and GEO databases to analyze EVI2A g...EVI2A has emerged as a significant biomarker in various diseases;however,its biological role and mechanism in kidney renal clear cell carcinoma(KIRC)remains unexplored.We used TCGA and GEO databases to analyze EVI2A gene expression comprehensively and performed pan-cancer assessments.Clinical relevance was evaluated through Kaplan-Meier analysis and ROC curves.The gene’s immune relevance was explored through analyses of the tumor microenvironment(TME),Tumor Immune Single-cell Hub(TISCH),immune checkpoints,and immunotherapy sensitivity.Our results indicate that EVI2A expression is upregulated in KIRC,showing correlations with tumor grade and T/N/M stage.EVI2A demonstrates high diagnostic accuracy(AUC=0.906)and predicts poor overall and progression-free survival in KIRC patients.Furthermore,EVI2A expression exhibits significant associations with immunity,including TME scores and specific immune cell types such as Tfh cells,CD4 memory T cells,and CD8+T cells.Elevated EVI2A expression suggests increased sensitivity to PD-1/CTLA-4 and tyrosine kinase inhibitors.In vitro assays confirmed the impact of EVI2A on KIRC behavior,with its knockdown resulting in reduced cell proliferation and migration.In conclusion,our comprehensive analysis identifies EVI2A as a promising biomarker and a novel therapeutic target for intervening in KIRC.These findings hold significant implications for further research and potential clinical applications.展开更多
MODIS植被指数数据是区域土地利用信息提取的重要数据源。为了对比MODIS两种主要植被指数(NDIV、EVI)在耕地信息提取中的应用,采用通过时间序列谐波分析法(Harmonic Analysis of Time Series,HANTS),对2006年全年MODIS 16天250m的NDVI和...MODIS植被指数数据是区域土地利用信息提取的重要数据源。为了对比MODIS两种主要植被指数(NDIV、EVI)在耕地信息提取中的应用,采用通过时间序列谐波分析法(Harmonic Analysis of Time Series,HANTS),对2006年全年MODIS 16天250m的NDVI和EVI时间谱数据进行了重构,从而进行了河西走廊绿洲中东部样区一系列耕地信息的提取实验,包括耕地、休耕地识别以及耕地复种指数、作物种类提取。在此基础上,对MODIS的NDVI与EVI数据的应用进行了对比分析。结果显示:(1)利用傅立叶谐波变换得到的EVI和NDVI时间谱曲线的谐波余项及谐波振幅对耕地进行识别,从识别精度来看,EVI要优于NDVI,识别精度分别为97.17%和95.99%,Kappa系数分别达到0.7938和0.6518;(2)通过计算时间序列曲线的波峰数能够提取耕地的复种指数,并且在EVI和NDVI曲线波峰阈值分别设为0.20和0.25时,休耕地能较为准确地被识别出来;(3)通过提取作物生长期内曲线的VI最大增长速率时间点以及峰值时间点等信息,作物种类能被初步识别,并且EVI较NDVI具有更强的识别能力。展开更多
基金the Ethics Committee of the First Affiliated Hospital of Nanchang University(Approval:(2023)CDYFYYLK(03-013)).
文摘EVI2A has emerged as a significant biomarker in various diseases;however,its biological role and mechanism in kidney renal clear cell carcinoma(KIRC)remains unexplored.We used TCGA and GEO databases to analyze EVI2A gene expression comprehensively and performed pan-cancer assessments.Clinical relevance was evaluated through Kaplan-Meier analysis and ROC curves.The gene’s immune relevance was explored through analyses of the tumor microenvironment(TME),Tumor Immune Single-cell Hub(TISCH),immune checkpoints,and immunotherapy sensitivity.Our results indicate that EVI2A expression is upregulated in KIRC,showing correlations with tumor grade and T/N/M stage.EVI2A demonstrates high diagnostic accuracy(AUC=0.906)and predicts poor overall and progression-free survival in KIRC patients.Furthermore,EVI2A expression exhibits significant associations with immunity,including TME scores and specific immune cell types such as Tfh cells,CD4 memory T cells,and CD8+T cells.Elevated EVI2A expression suggests increased sensitivity to PD-1/CTLA-4 and tyrosine kinase inhibitors.In vitro assays confirmed the impact of EVI2A on KIRC behavior,with its knockdown resulting in reduced cell proliferation and migration.In conclusion,our comprehensive analysis identifies EVI2A as a promising biomarker and a novel therapeutic target for intervening in KIRC.These findings hold significant implications for further research and potential clinical applications.
文摘MODIS植被指数数据是区域土地利用信息提取的重要数据源。为了对比MODIS两种主要植被指数(NDIV、EVI)在耕地信息提取中的应用,采用通过时间序列谐波分析法(Harmonic Analysis of Time Series,HANTS),对2006年全年MODIS 16天250m的NDVI和EVI时间谱数据进行了重构,从而进行了河西走廊绿洲中东部样区一系列耕地信息的提取实验,包括耕地、休耕地识别以及耕地复种指数、作物种类提取。在此基础上,对MODIS的NDVI与EVI数据的应用进行了对比分析。结果显示:(1)利用傅立叶谐波变换得到的EVI和NDVI时间谱曲线的谐波余项及谐波振幅对耕地进行识别,从识别精度来看,EVI要优于NDVI,识别精度分别为97.17%和95.99%,Kappa系数分别达到0.7938和0.6518;(2)通过计算时间序列曲线的波峰数能够提取耕地的复种指数,并且在EVI和NDVI曲线波峰阈值分别设为0.20和0.25时,休耕地能较为准确地被识别出来;(3)通过提取作物生长期内曲线的VI最大增长速率时间点以及峰值时间点等信息,作物种类能被初步识别,并且EVI较NDVI具有更强的识别能力。
