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Integrated Genomic and Epigenomic Analysis of Breast Cancer Brain Metastasis

机译:乳腺癌脑转移的基因组和表观基因组综合分析

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摘要

The brain is a common site of metastatic disease in patients with breast cancer, which has few therapeutic options and dismal outcomes. The purpose of our study was to identify common and rare events that underlie breast cancer brain metastasis. We performed deep genomic profiling, which integrated gene copy number, gene expression and DNA methylation datasets on a collection of breast brain metastases. We identified frequent large chromosomal gains in 1q, 5p, 8q, 11q, and 20q and frequent broad-level deletions involving 8p, 17p, 21p and Xq. Frequently amplified and overexpressed genes included ATAD2, BRAF, DERL1, DNMTRB and NEK2A. The ATM, CRYAB and HSPB2 genes were commonly deleted and underexpressed. Knowledge mining revealed enrichment in cell cycle and G2/M transition pathways, which contained AURKA, AURKB and FOXM1. Using the PAM50 breast cancer intrinsic classifier, Luminal B, Her2+/ER negative, and basal-like tumors were identified as the most commonly represented breast cancer subtypes in our brain metastasis cohort. While overall methylation levels were increased in breast cancer brain metastasis, basal-like brain metastases were associated with significantly lower levels of methylation. Integrating DNA methylation data with gene expression revealed defects in cell migration and adhesion due to hypermethylation and downregulation of PENK, EDN3, and ITGAM. Hypomethylation and upregulation of KRT8 likely affects adhesion and permeability. Genomic and epigenomic profiling of breast brain metastasis has provided insight into the somatic events underlying this disease, which have potential in forming the basis of future therapeutic strategies.
机译:在乳腺癌患者中,大脑是转移性疾病的常见部位,几乎没有治疗选择,而且结局令人沮丧。我们研究的目的是确定乳腺癌脑转移的常见和罕见事件。我们进行了深层基因组分析,将基因拷贝数,基因表达和DNA甲基化数据集整合到了一组乳腺癌脑转移瘤上。我们确定了频繁的大型染色体增益在1q,5p,8q,11q和20q,以及频繁的广泛缺失,涉及8p,17p,21p和Xq。经常扩增和过表达的基因包括ATAD2,BRAF,DERL1,DNMTRB和NEK2A。 ATM,CRYAB和HSPB2基因通常被删除和表达不足。知识挖掘揭示了细胞周期和G2 / M过渡途径的丰富,其中包含AURKA,AURKB和FOXM1。使用PAM50乳腺癌固有分类器,Luminal B,Her2 + / ER阴性和基底样肿瘤被确定为我们脑转移队列中最常见的乳腺癌亚型。乳腺癌脑转移中总体甲基化水平升高,而基底样脑转移与甲基化水平显着降低有关。将DNA甲基化数据与基因表达整合在一起,揭示了由于PENK,EDN3和ITGAM的过度甲基化和下调,导致了细胞迁移和粘附的缺陷。 KRT8的甲基化不足和上调可能会影响粘附和渗透性。乳腺脑转移的基因组学和表观基因组学分析提供了对该疾病潜在的体细胞事件的见解,这些事件可能构成未来治疗策略的基础。

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