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整合基因组和临床数据的分析揭示了膀胱癌进展的内在特征。

Integrative Analysis of Genomic and Clinical Data Reveals Intrinsic Characteristics of Bladder Urothelial Carcinoma Progression.

机构信息

School of Life Science, Tsinghua University, Beijing 100084, China.

Department of Biochemistry and Molecular biology, Shanxi Medical University, Taiyuan 030001, China.

出版信息

Genes (Basel). 2019 Jun 17;10(6):464. doi: 10.3390/genes10060464.

Abstract

The progression of bladder cancer is generally a complex and dynamic process, involving a variety of biological factors. Here, we aimed to identify a set of survival-related genes that play an important role in the progression of bladder cancer and uncover their synergistic patterns. Based on the large-scale genomic profiling data and clinical information of 404 bladder cancer patients derived from The Cancer Genome Atlas (TCGA) database, we first discovered 1078 survival-related genes related to their survival states using univariate and multivariate Cox proportional hazardous regression. We then investigated the dynamic changes of the cooperative behaviors of these 1078 genes by analyzing their respective genomic features, including copy number variations, DNA methylations, somatic mutations, and microRNA regulatory networks. Our analyses showed that during the progression of bladder cancer, the biological disorder involving the identified survival-related genes can be reflected by multiple levels of abnormal gene regulation, ranging from genomic alteration to post-transcriptional dysregulation. In particular, the stage-specific co-expression networks of these genes undergo a series of structural variations. Our findings provide useful hints on understanding the underlying complex molecular mechanisms related to the evolution of bladder cancer and offer a new perspective on clinical diagnosis and treatment of bladder cancer.

摘要

膀胱癌的进展通常是一个复杂而动态的过程,涉及多种生物学因素。在这里,我们旨在鉴定一组与膀胱癌进展相关的生存相关基因,并揭示它们的协同模式。基于从癌症基因组图谱(TCGA)数据库中获得的 404 名膀胱癌患者的大规模基因组分析数据和临床信息,我们首先使用单变量和多变量 Cox 比例风险回归发现了与膀胱癌患者生存状态相关的 1078 个生存相关基因。然后,我们通过分析这些基因的各自基因组特征,包括拷贝数变异、DNA 甲基化、体细胞突变和 microRNA 调控网络,研究了这些 1078 个基因的协同行为的动态变化。我们的分析表明,在膀胱癌的进展过程中,涉及鉴定的生存相关基因的生物紊乱可以通过多个异常基因调控水平来反映,从基因组改变到转录后失调。特别是,这些基因的阶段特异性共表达网络经历了一系列结构变化。我们的研究结果为理解与膀胱癌演变相关的复杂分子机制提供了有用的提示,并为膀胱癌的临床诊断和治疗提供了新的视角。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/518c/6628253/64a32d045a22/genes-10-00464-g001.jpg

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