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A four-gene signature predicts survival in clear-cell renal-cell carcinoma

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单位: [1]Huazhong Univ Sci & Technol,Tongji Hosp,Tongji Med Coll,Canc Biol Res Ctr,Wuhan,Peoples R China [2]Huazhong Univ Sci & Technol,Tongji Hosp,Tongji Med Coll,Dept,Wuhan,Peoples R China [3]Huazhong Univ Sci & Technol,Tongji Hosp,Tongji Med Coll,Inst Urol,Wuhan,Peoples R China [4]Chinese Univ Hong Kong, Prince Wales Hosp, Dept Orthopaed & Traumatol, Hong Kong, Hong Kong, Peoples R China [5]Huazhong Univ Sci & Technol,Inst Pathol,Tongji Hosp,Tongji Med Coll,Wuhan,Peoples R China [6]Wuhan Univ Sci & Technol, Dept Pathol, Coll Med, Wuhan, Peoples R China
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关键词: ccRCC prognosis gene signature tissue microarray bioinformatics

摘要:
Clear-cell renal-cell carcinoma (ccRCC) is the most common pathological subtype of renal cell carcinoma (RCC), accounting for about 80% of RCC. In order to find potential prognostic biomarkers in ccRCC, we presented a four-gene signature to evaluate the prognosis of ccRCC. SurvExpress and immunohistochemical (IHC) staining of tissue microarrays were used to analyze the association between the four genes and the prognosis of ccRCC. Data from TCGA dataset revealed a prognostic prompt function of the four genes (PTEN, PIK3C2A, ITPA and BCL3). Further discovery suggested that the four-gene signature predicted survival better than any of the four genes alone. Moreover, IHC staining demonstrated a consistent result with TCGA, indicating that the signature was an independent prognostic factor of survival in ccRCC. Univariate and multivariate Cox proportional hazard regression analysis were conducted to verify the association of clinicopathological variables and the four genes' expression levels with survival. The results further testified that the risk (four-gene signature) was an independent prognostic factors of both Overall Survival (OS) and Disease-free Survival (DFS) (P<0.05). In conclusion, the four-gene signature was correlated with the survival of ccRCC, and therefore, may help to provide significant clinical implications for predicting the prognosis of patients.

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出版当年[2015]版:
大类 | 1 区 医学
小类 | 2 区 肿瘤学 3 区 细胞生物学
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出版当年[2014]版:
Q1 ONCOLOGY Q1 CELL BIOLOGY
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第一作者单位: [1]Huazhong Univ Sci & Technol,Tongji Hosp,Tongji Med Coll,Canc Biol Res Ctr,Wuhan,Peoples R China
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通讯机构: [2]Huazhong Univ Sci & Technol,Tongji Hosp,Tongji Med Coll,Dept,Wuhan,Peoples R China [3]Huazhong Univ Sci & Technol,Tongji Hosp,Tongji Med Coll,Inst Urol,Wuhan,Peoples R China
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