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Integrative molecular profiling identifies a novel cluster of estrogen receptor‐positive breast cancer in very young women

机译:整合分子谱分析在年轻女性中发现了新的雌激素受体阳性乳腺癌簇

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摘要

Very young breast cancer patients are more common in Asian countries than Western countries and are thought to have worse prognosis than older patients. The aim of the current study was to identify molecular characteristics of young patients with estrogen receptor (ER)‐positive breast cancer by analyzing mutations and copy number variants (CNV), and by applying expression profiling. The whole exome and transcriptome of 47 Korean young breast cancer (KYBR) patients (age <35) were analyzed. Genomic profiles were constructed using mutations, CNV and differential gene expression from sequencing data. Pathway analyses were also performed using gene sets to identify biological processes. Our data were compared with young ER+ breast cancer patients in The Cancer Genome Atlas (TCGA) dataset. TP53,PIK3CA and GATA3 were highly recurrent somatic mutation genes. APOBEC‐associated mutation signature was more frequent in KYBR compared with young TCGA patients. Integrative profiling was used to classify our patients into 3 subgroups based on molecular characteristics. Group A showed luminal A‐like subtype and IGF1R signal dysregulation. Luminal B patients were classified into groups B and C, which showed chromosomal instability and enrichment for APOBEC3A/B deletions, respectively. Group B was characterized by 11q13 (CCND1) amplification and activation of the ubiquitin‐mediated proteolysis pathway. Group C showed 17q12 ( style="fixed-case">ERBB2) amplification and lower style="fixed-case">ER and progesterone receptor expression. Group C was also distinguished by immune activation and lower epithelial‐mesenchyme transition ( style="fixed-case">EMT) degree compared with group B. This study showed that integrative genomic profiling could classify very young patients with breast cancer into molecular subgroups that are potentially linked to different clinical characteristics.
机译:在亚洲国家中,非常年轻的乳腺癌患者比西方国家更为常见,并且被认为比老年患者的预后更差。本研究的目的是通过分析突变和拷贝数变异(CNV)并应用表达谱分析来鉴定年轻的雌激素受体(ER)阳性乳腺癌患者的分子特征。分析了47名韩国年轻乳腺癌(KYBR)患者(<35岁)的整个外显子组和转录组。使用突变,CNV和来自测序数据的差异基因表达构建基因组图谱。还使用基因组进行了途径分析以鉴定生物学过程。我们的数据与癌症基因组图谱(TCGA)数据集中的年轻ER +乳腺癌患者进行了比较。 TP53,PIK3CA和GATA3是高度复发的体细胞突变基因。与年轻的TCGA患者相比,在KYBR中与APOBEC相关的突变特征更为常见。综合分析用于根据分子特征将我们的患者分为3个亚组。 A组显示管腔A型亚型和IGF1R信号失调。发光B患者分为B组和C组,分别显示染色体不稳定和APOBEC3A / B缺失的富集。 B组的特点是11q13(CCND1)扩增和泛素介导的蛋白水解途径的激活。 C组显示17q12( style =“ fixed-case”> ERBB 2)扩增和更低的 style =“ fixed-case”> ERBB 2和孕激素受体表达。与B组相比,C组还具有免疫激活和较低的上皮-间质转化( style =“ fixed-case”> EMT )程度的特点。这项研究表明,整合基因组谱分析可以对非常年轻的B超患者进行分类。乳腺癌分为可能与不同临床特征相关的分子亚组。

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