FCGR2A as one novel potential target for poor survival prognosis of clear cell renal cell carcinoma

被引:3
作者
Fu, Taozhu [1 ]
Zhang, Lianfeng [1 ]
Zuo, Meini [1 ]
Li, Feng [2 ]
Shi, Changjin [2 ]
Chen, Hongrun [1 ,3 ]
机构
[1] China Aerosp Sci & Ind Corp 731 Hosp, Dept Urol, Beijing, Peoples R China
[2] Fourth Hosp Hebei Med Univ, Dept Urol, Shijiazhuang, Hebei, Peoples R China
[3] China Aerosp Sci & Ind Corp 731 Hosp, Dept Urol, 3, Zhen Gang Nan Li,Yun Gang, Beijing 100074, Peoples R China
关键词
BP neural network; clear cell renal cell carcinoma; FCGR2A; support vector machine; survival prognosis; FC-GAMMA RECEPTORS; POLYMORPHISMS; ASSOCIATION; MECHANISMS;
D O I
10.1097/MD.0000000000033324
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Clear cell renal cell carcinoma (ccRCC) is the most common type of renal cell carcinoma. Immunoglobulin Fc gamma RIIa receptor (FCGR2A) has been implicated in various cancers, however, its role on ccRCC is not well studied. A total of 151 patients with ccRCC were recruited for the study. Cox proportional hazards regression analysis was performed to calculate the hazard radios of FCGR2A expression and tumor characteristics. Pathological changes associated with ccRCC in tumor tissue sections were analyzed by hematoxylin-eosin staining. Immunohistochemical and immunofluorescence staining were used to detect the protein expression of FCGR2A in the tissue sections. Correlation between the expression of FCGR2A and the overall survival (OS) of ccRCC patients was analyzed by biological process neural network and support vector machine. The expression of FCGR2A was significantly correlated with the TNM of tumor, family history of ccRCC and Fuhrman stage of ccRCC. Patients with high FCGR2A expression in the tumor tissue, had poorer OS than the patients with low and moderate FCGR2A expression. The Receiver operating characteristic curve showed that FCGR2A can be used as a sensitive and specific biomarker for the diagnosis of ccRCC. Western blotting revealed that the FCGR2A was expressed at higher levels in the ccRCC tissues. Biological process neural network and support vector machine fitting showed that the R-2 between FCGR2A and survival time of ccRCC patients was 0.8429 and 0.7669, respectively. FCGR2A is highly expressed in ccRCC, higher expression of FCGR2A is associated with poorer OS of ccRCC.
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页数:10
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