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多维综合分析揭示阴茎癌的驱动候选基因和生物标志物。

Multidimensional integrative analysis uncovers driver candidates and biomarkers in penile carcinoma.

机构信息

A.C.Camargo Cancer Center, São Paulo, SP, Brazil.

Center of Mathematics, Computing and Cognition, Federal University of ABC - UFABC, Santo André, SP, Brazil.

出版信息

Sci Rep. 2017 Jul 27;7(1):6707. doi: 10.1038/s41598-017-06659-1.

Abstract

Molecular data generation and their combination in penile carcinomas (PeCa), a significant public health problem in poor and underdeveloped countries, remain virtually unexplored. An integrativemethodology combin ing genome-wide copy number alteration, DNA methylation, miRNA and mRNA expression analysis was performed in a set of 20 usual PeCa. The well-ranked 16 driver candidates harboring genomic alterations and regulated by a set of miRNAs, including hsa-miR-31, hsa-miR-34a and hsa-miR-130b, were significantly associated with over-represented pathways in cancer, such as immune-inflammatory system, apoptosis and cell cycle. Modules of co-expressed genes generated from expression matrix were associated with driver candidates and classified according to the over-representation of passengers, thus suggesting an alteration of the pathway dynamics during the carcinogenesis. This association resulted in 10 top driver candidates (AR, BIRC5, DNMT3B, ERBB4, FGFR1, PML, PPARG, RB1, TNFSF10 and STAT1) selected and confirmed as altered in an independent set of 33 PeCa samples. In addition to the potential driver genes herein described, shorter overall survival was associated with BIRC5 and DNMT3B overexpression (log-rank test, P = 0.026 and P = 0.002, respectively) highlighting its potential as novel prognostic marker for penile cancer.

摘要

在阴茎癌(PeCa)中,分子数据的产生及其组合在贫穷和欠发达国家这一重大公共卫生问题中几乎没有得到探索。我们对 20 例常见的阴茎癌进行了整合基因组拷贝数改变、DNA 甲基化、miRNA 和 mRNA 表达分析的综合方法学研究。排名靠前的 16 个候选驱动基因具有基因组改变,并受一组 miRNA(包括 hsa-miR-31、hsa-miR-34a 和 hsa-miR-130b)的调控,这些基因与癌症中过表达的途径(如免疫炎症系统、细胞凋亡和细胞周期)显著相关。从表达矩阵生成的共表达基因模块与候选驱动基因相关联,并根据乘客的过表达情况进行分类,这表明在癌变过程中途径动力学发生了改变。这种关联导致选择并确认了 10 个顶级候选驱动基因(AR、BIRC5、DNMT3B、ERBB4、FGFR1、PML、PPARG、RB1、TNFSF10 和 STAT1),这些基因在另外 33 例 PeCa 样本中发生改变。除了本文描述的潜在驱动基因外,BIRC5 和 DNMT3B 的过表达与总生存期较短相关(对数秩检验,P=0.026 和 P=0.002),突出了其作为阴茎癌新型预后标志物的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/321e/5532302/afda72b4740e/41598_2017_6659_Fig1_HTML.jpg

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