首页|Four-protein model for predicting prognostic risk of lung cancer
Four-protein model for predicting prognostic risk of lung cancer
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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.
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
This work was granted by CAMS Innovation Fund for Medical Sciences(CIFMS)
NETL
NSTL
万方数据
维普
