OSdlbcl: An online consensus survival analysis web server based on gene expression profiles of diffuse large B-cell lymphoma
OSdlbcl: An online consensus survival analysis web server based on gene expression profiles of diffuse large B-cell lymphoma
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OSdlbcl：基于弥漫性大 B 细胞淋巴瘤基因表达谱的在线共识生存分析网络服务器
DOI：
10.1002/cam4.2829
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发表时间：
2020-01-09
期刊：
影响因子：
4
通讯作者：
Guo, Xiangqian
中科院分区：
文献类型：
--
作者：
Dong, Huan;Wang, Qiang;Guo, Xiangqian
弥漫性大B细胞淋巴瘤（DLBCL）是非霍奇金淋巴瘤（NHL）最常见的亚型，是一种临床、病理和分子异质性疾病，具有高度可变的临床结局。目前，DLBCL的有效预后生物标志物仍然缺乏。为了优化靶向治疗并改善DLBCL的预后，需要在多个队列中评估所提出的生物标志物的性能，并且需要在大数据集中研究新的生物标志物。在这里，我们开发了一个共识在线生存分析网络服务器弥漫性大B细胞淋巴瘤，简称OSdlbcl，以评估个别基因的预后价值。为了构建OSdlbcl，我们从癌症基因组图谱（TCGA）和基因表达综合数据库（GEO）收集了1100个具有基因表达谱和临床随访信息的样本。此外，还从TCGA数据库收集DNA突变数据。总生存期（OS）、无进展生存期（PFS）、疾病特异性生存期（DSS）、无疾病间期（DFI）和无进展间期（PFI）是反映OSdlbcl中生存率的重要终点。此外，临床特征被集成到OSdlbcl中，以允许根据用户的特殊需求进行数据分层。通过输入官方基因符号并选择所需标准，生存分析结果可通过Kaplan-Meier（KM）图以及风险比（HR）和对数秩p值以图形方式呈现。作为概念验证证明，在OSdlbcl中评估了23种先前报道的生存相关生物标志物（例如转录因子FOXP 1和BCL 2）的预后价值，并发现其与所报道的生存显著相关（分别为HR = 1.73，P <0.01; HR = 1.47，P = 0.03）。总之，OSdlbcl是一个新的网络服务器，它整合了公共基因表达，基因突变数据和临床随访信息，为DLBCL生物标志物的开发提供预后评估。OSdlbcl Web服务器位于。
Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of non-Hodgkin lymphoma (NHL) and is a clinical, pathological, and molecular heterogeneous disease with highly variable clinical outcomes. Currently, valid prognostic biomarkers in DLBCL are still lacking. To optimize targeted therapy and improve the prognosis of DLBCL, the performance of proposed biomarkers needs to be evaluated in multiple cohorts, and new biomarkers need to be investigated in large datasets. Here, we developed a consensus Online Survival analysis web server for Diffuse Large B-Cell Lymphoma, abbreviated OSdlbcl, to assess the prognostic value of individual gene. To build OSdlbcl, we collected 1100 samples with gene expression profiles and clinical follow-up information from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. In addition, DNA mutation data were also collected from the TCGA database. Overall survival (OS), progression-free survival (PFS), disease-specific survival (DSS), disease-free interval (DFI), and progression-free interval (PFI) are important endpoints to reflect the survival rate in OSdlbcl. Moreover, clinical features were integrated into OSdlbcl to allow data stratifications according to the user's special needs. By inputting an official gene symbol and selecting desired criteria, the survival analysis results can be graphically presented by the Kaplan-Meier (KM) plot with hazard ratio (HR) and log-rank p value. As a proof-of-concept demonstration, the prognostic value of 23 previously reported survival associated biomarkers, such as transcription factors FOXP1 and BCL2, was evaluated in OSdlbcl and found to be significantly associated with survival as reported (HR = 1.73, P < .01; HR = 1.47, P = .03, respectively). In conclusion, OSdlbcl is a new web server that integrates public gene expression, gene mutation data, and clinical follow-up information to provide prognosis evaluations for biomarker development for DLBCL. The OSdlbcl web server is available at .