Department of General Surgery, Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, 330006 Jiangxi, China.
Department of Radiation Oncology and Medical Oncology, Zhongnan Hospital, Wuhan University, Wuhan, China.
Biomed Res Int. 2020 Aug 20;2020:5848493. doi: 10.1155/2020/5848493. eCollection 2020.
With recent advances in immunooncology and tumor microenvironment, the treatment landscape of bladder urothelial carcinoma has been changing dramatically. We aim to construct an immune gene-related signature which can predict BLCA patients' overall survival. Transcriptomic data of BLCA patients was downloaded from The Cancer Genome Atlas database, and immune-related genes were downloaded from the Immunology Database and Analysis Portal database. Prognostic immune-related genes were identified. We then constructed and validated an immune gene-related signature. Tumor-related transcription factors were downloaded from the Cistrome database, and a network between them and prognostic immune-related genes was generated. Cox's proportional hazards model and the Kaplan-Meier survival analysis were performed to assess our signature's prognostic ability. Relationship between the signature and patients' clinicopathologic features was then explored to validate its clinical value. We further downloaded concentration of six types of immune cells from the Tumor Immune Estimation Resource database to explore immune-related potential mechanisms of the signature.
随着免疫肿瘤学和肿瘤微环境的最新进展,膀胱癌的治疗格局发生了巨大变化。我们旨在构建一个与免疫相关的基因特征,以预测膀胱癌患者的总生存期。从癌症基因组图谱数据库下载膀胱癌患者的转录组数据,并从免疫数据库和分析门户数据库下载免疫相关基因。鉴定预后相关的免疫基因。然后构建并验证了一个与免疫相关的基因特征。从 Cistrome 数据库下载肿瘤相关转录因子,并生成它们与预后免疫相关基因之间的网络。采用 Cox 比例风险模型和 Kaplan-Meier 生存分析评估我们特征的预后能力。然后探讨特征与患者临床病理特征的关系,以验证其临床价值。我们进一步从肿瘤免疫评估资源数据库下载六种类型免疫细胞的浓度,以探讨特征的免疫相关潜在机制。