Deciphering Immune-Associated Genes to Predict Survival in Clear Cell Renal Cell Cancer
Deciphering Immune-Associated Genes to Predict Survival in Clear Cell Renal Cell Cancer
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DOI：
10.1155/2019/2506843
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发表时间：
2019-12-07
影响因子：
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通讯作者：
Zhu, Xin
中科院分区：
文献类型：
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作者：
Hu, Daixing;Zhou, Mi;Zhu, Xin
背景通过对肿瘤基因组图谱（TCGA）数据库的综合分析，阐明肿瘤微环境与肾透明细胞癌（ccRCC）临床特征及预后的相关性，并探讨免疫相关基因。方法.我们从TCGA数据库中收集了537个ccRCC样本的mRNA表达谱。通过应用ESTIMATE算法计算免疫评分和基质评分。我们评估了免疫/基质评分与临床特征以及预后之间的相关性。通过以下临界值筛选高免疫/基质评分组和低免疫/基质评分组之间的差异表达基因（DEG）：|日志（文件夹更改）|> 1，P值
Background. To elucidate the correlations between tumor microenvironment and clinical characteristics as well as prognosis in clear cell renal cell cancer (ccRCC) and investigate the immune-associated genes by a comprehensive analysis of The Cancer Genome Atlas (TCGA) database. Methods. We collected mRNA expression profiles of 537 ccRCC samples from the TCGA database. Immune scores and stromal scores were calculated by applying the ESTIMATE algorithm. We evaluated the correlation between immune/stromal scores and clinical characteristics as well as prognosis. The differentially expressed genes (DEGs) were screened between high immune/stromal score and low immune/stromal score groups by the cutoff of |log (fold change)| > 1, P value