A four-gene signature predicts survival in clear-cell renal-cell carcinoma.
A four-gene signature predicts survival in clear-cell renal-cell carcinoma.
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DOI：
10.18632/oncotarget.12631
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发表时间：
2016-12-13
期刊：
影响因子：
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通讯作者：
Wang S
中科院分区：
文献类型：
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作者：
Dai J;Lu Y;Wang J;Yang L;Han Y;Wang Y;Yan D;Ruan Q;Wang S
肾透明细胞癌（Clear-cell renal-cell carcinoma，ccRCC）是肾细胞癌（renal cell carcinoma，RCC）最常见的病理亚型，约占RCC的80%。为了找到潜在的预后生物标志物在ccRCC中，我们提出了一个四基因签名来评估ccRCC的预后。采用SurvExpress和组织芯片免疫组化染色分析4个基因与ccRCC预后的关系。来自TCGA数据集的数据揭示了四个基因（PTEN、PIK 3C 2A、ITPA和BCL 3）的预后提示功能。进一步的发现表明，四个基因的签名预测生存比任何四个基因单独。此外，IHC染色证明了与TCGA一致的结果，表明签名是ccRCC中存活的独立预后因素。采用单因素和多因素考克斯比例风险回归分析验证临床病理变量和4个基因表达水平与生存期的关系。结果进一步证实，四基因标记风险是影响总生存期（OS）和无病生存期（DFS）的独立预后因素（P<0.05）。总之，四基因签名与ccRCC的生存相关，因此，可能有助于为预测患者的预后提供重要的临床意义。
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.