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作 者:Kaili Liao Jinting Cheng Xiajing Yu Ziqian Liu Xue Zhang Yuxin Fu Wenyige Zhang Jie Liu Feifei Teng Yuxuan Xie Xiwen Yan Gaoquan Cao Bing Sun Hanqing Zhao Jingyan Zhang Xiaozhong Wang
机构地区:[1]Jiangxi Province Key Laboratory of Immunology and Inflammation,Jiangxi Provincial Clinical Research Center for Laboratory Medicine,Department of Clinical Laboratory,The Second Affiliated Hospital,Jiangxi Medical College,Nanchang University,Nanchang,Jiangxi,China [2]School of Public Health,Jiangxi Medical College,Nanchang University,Nanchang,Jiangxi 330006,China [3]The 1st Clinical Medical College,Jiangxi Medical College,Nanchang University,Nanchang,Jiangxi 330006,China [4]Queen Mary College,Jiangxi Medical College,Nanchang University,Nanchang,Jiangxi 330006,China [5]The 2nd Clinical Medical College,Jiangxi Medical College,Nanchang University,Nanchang,Jiangxi 330006,China [6]The 4th Clinical Medical College,Jiangxi Medical College,Nanchang University,Nanchang,Jiangxi 330006,China
出 处:《Genes & Diseases》2025年第3期39-41,共3页基因与疾病(英文)
基 金:funded by the National Natural Science Foundation of China(No.82160405).
摘 要:The prognosis of pancreatic cancer(PC)is difficult to predict1 and is extremely poor.2 Studies showed that cuproptosis was related to PC.The roles are not completely understood.It is considered that lncRNAs are closely associated with PC.We explored the relationship of curproptosisrelated lncRNAs(CRLs)with the prognosis of PC patients and their potential role.We determined 19 prognostic CRLs through Pearson correlation analysis and univariate Cox regression analysis from 185 tumor samples.Subsequently,we constructed a predictive prognosis model for PC patients based on four CRLs and utilized the formula to calculate the risk score.
关 键 词:pearson correlation analysis immune cell infiltration univariate cox regression analysis lncRNAs cuproptosis pancreatic cancer pancreatic cancer pc PROGNOSIS
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