Multi-center validation of an immune-related lncRNA signature for predicting survival and immune status of patients with renal cell carcinoma: an integrating machine learning-derived study.

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作者： Long,Liu ^[1] ; Yi,Feng ^[2] ; Chunguang,Guo ^[3] ; Siyuan,Weng ^[4] ; Hui,Xu ^[1] ; Zhe,Xing ^[1] ; Yuyuan,Zhang ^[5] ; Libo,Wang ^[1] ; Xinwei,Han ^[2]

作者单位： Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China. ^[1] Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China. ^[2] Department of Kidney Transplantation, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China. ^[3] Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China. ^[4] Department of Neurosurgery, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, Henan, China. ^[5] Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China. fcchanxw@zzu.edu.cn. ^[6] Interventional Institute of Zhengzhou University, Zhengzhou, 450052, Henan, China. fcchanxw@zzu.edu.cn. ^[7] Interventional Treatment and Clinical Research Center of Henan Province, Zhengzhou, 450052, Henan, China. fcchanxw@zzu.edu.cn. ^[8]

关键词 Chemotherapy Immunotherapy Machine learning Prognosis Renal cell carcinoma

主题词人类(Humans);癌, 肾细胞(Carcinoma, Renal Cell);肾肿瘤(Kidney Neoplasms);预后(Prognosis)

DOI 10.1007/s00432-023-05107-0

PMID 37423959

发布时间 2023-08-31

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