典型文献
Four-protein model for predicting prognostic risk of lung cancer
文献摘要:
Patients with lung cancer at the same stage may have markedly different overall outcome and a lack of specific biomarker to predict lung cancer outcome.Heat-shock protein 90 β(HSP90β)is overexpressed in various tumor cells.In this study,the ELISA results of HSP90β combined with CEA,CA125,and CYFRA21-1 were used to construct a recursive partitioning decision tree model to establish a four-protein diagnostic model and predict the survival of patients with lung cancer.Survival analysis showed that the recursive partitioning decision tree could distinguish the prognosis between high-and low-risk groups.Results suggested that the joint detection of HSP90β,CEA,CA125,and CYFRA21-1 in the peripheral blood of patients with lung cancer is plausible for early diagnosis and prognosis prediction of lung cancer.
文献关键词:
中图分类号:
作者姓名:
Xiang Wang;Minghui Wang;Lin Feng;Jie Song;Xin Dong;Ting Xiao;Shujun Cheng
作者机构:
State Key Laboratory of Molecular Oncology,Department of Etiology and Carcinogenesis,National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College,Beijing 100021,China;Department of Clinical Laboratory,National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College,Beijing 100021,China
文献出处:
引用格式:
[1]Xiang Wang;Minghui Wang;Lin Feng;Jie Song;Xin Dong;Ting Xiao;Shujun Cheng-.Four-protein model for predicting prognostic risk of lung cancer)[J].医学前沿,2022(04):618-626
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B类:
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AB值:
0.594655
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