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High-resolution genomic and expression analyses of copy number alterations in HER2-amplified breast cancer

机译:HER2扩增乳腺癌中拷贝数变化的高分辨率基因组和表达分析

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IntroductionHER2 gene amplification and protein overexpression (HER2+) define a clinically challenging subgroup of breast cancer with variable prognosis and response to therapy. Although gene expression profiling has identified an ERBB2 molecular subtype of breast cancer, it is clear that HER2+ tumors reside in all molecular subtypes and represent a genomically and biologically heterogeneous group, needed to be further characterized in large sample sets.MethodsGenome-wide DNA copy number profiling, using bacterial artificial chromosome (BAC) array comparative genomic hybridization (aCGH), and global gene expression profiling were performed on 200 and 87 HER2+ tumors, respectively. Genomic Identification of Significant Targets in Cancer (GISTIC) was used to identify significant copy number alterations (CNAs) in HER2+ tumors, which were related to a set of 554 non-HER2 amplified (HER2-) breast tumors. High-resolution oligonucleotide aCGH was used to delineate the 17q12-q21 region in high detail.ResultsThe HER2-amplicon was narrowed to an 85.92 kbp region including the TCAP, PNMT, PERLD1, HER2, C17orf37 and GRB7 genes, and higher HER2 copy numbers indicated worse prognosis. In 31% of HER2+ tumors the amplicon extended to TOP2A, defining a subgroup of HER2+ breast cancer associated with estrogen receptor-positive status and with a trend of better survival than HER2+ breast cancers with deleted (18%) or neutral TOP2A (51%). HER2+ tumors were clearly distinguished from HER2- tumors by the presence of recurrent high-level amplifications and firestorm patterns on chromosome 17q. While there was no significant difference between HER2+ and HER2- tumors regarding the incidence of other recurrent high-level amplifications, differences in the co-amplification pattern were observed, as shown by the almost mutually exclusive occurrence of 8p12, 11q13 and 20q13 amplification in HER2+ tumors. GISTIC analysis identified 117 significant CNAs across all autosomes. Supervised analyses revealed: (1) significant CNAs separating HER2+ tumors stratified by clinical variables, and (2) CNAs separating HER2+ from HER2- tumors.ConclusionsWe have performed a comprehensive survey of CNAs in HER2+ breast tumors, pinpointing significant genomic alterations including both known and potentially novel therapeutic targets. Our analysis sheds further light on the genomically complex and heterogeneous nature of HER2+ tumors in relation to other subgroups of breast cancer.
机译:简介HER2基因扩增和蛋白过表达(HER2 +)定义了具有挑战性的预后和对治疗的反应的具有临床挑战性的乳腺癌亚组。尽管基因表达谱已经鉴定出乳腺癌的ERBB2分子亚型,但很明显,HER2 +肿瘤存在于所有分子亚型中,代表着基因组和生物学上的异质性组,需要在大样本集中进一步表征。使用细菌人工染色体(BAC)阵列比较基因组杂交(aCGH)和全球基因表达谱分别对200和87个HER2 +肿瘤进行了谱分析。癌症重要靶标的基因组鉴定(GISTIC)用于鉴定HER2 +肿瘤中的重要拷贝数变化(CNA),这与一组554非HER2扩增(HER2-)乳腺肿瘤有关。结果使用高分辨率寡核苷酸aCGH精确描绘了17q12-q21区域。结果将HER2-扩增子缩小到85.92 kbp区域,包括TCAP,PNMT,PERLD1,HER2,C17orf37和GRB7基因,并标出了更高的HER2拷贝数预后较差。在31%的HER2 +肿瘤中,扩增子延伸至TOP2A,从而定义了与雌激素受体阳性状态相关的HER2 +乳腺癌亚组,其生存趋势优于已缺失(18%)或中性TOP2A的HER2 +乳腺癌(51%) 。 HER2 +肿瘤与HER2-肿瘤的明显区别是在染色体17q上存在频繁的高水平扩增和暴风雪模式。尽管就其他复发性高水平扩增的发生率而言,HER2 +和HER2-肿瘤之间没有显着差异,但观察到共扩增模式的差异,这主要是因为HER2 +中8p12、11q13和20q13扩增几乎相互排斥肿瘤。 GISTIC分析确定了所有常染色体中的117个重要CNA。监督分析显示:(1)分离出具有临床变量分层的HER2 +肿瘤的显着CNA,(2)分离HER2 +和HER2-肿瘤的CNA。潜在的新型治疗靶标。我们的分析进一步揭示了与乳腺癌其他亚组相关的HER2 +肿瘤的基因组复杂性和异质性。

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