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全基因组分析有助于对乳腺叶状肿瘤进行分类。

Whole-genome profiling helps to classify phyllodes tumours of the breast.

作者信息

Laé Marick, La Rosa Philippe, Mandel Jonas, Reyal Fabien, Hupé Philippe, Terrier Philippe, Couturier Jérôme

机构信息

Service de Pathologie, Institut Curie, PSL Research University, Paris, France.

Institut Curie, Paris, France.

出版信息

J Clin Pathol. 2016 Dec;69(12):1081-1087. doi: 10.1136/jclinpath-2016-203684. Epub 2016 May 20.

DOI:10.1136/jclinpath-2016-203684
PMID:27207013
Abstract

AIMS

The aim of this study was to analyse a series of borderline and malignant phyllodes tumours (PTs) of the breast by whole-genome profiling to identify genomic markers that could help to recognise potentially malignant tumours within borderline tumours.

METHODS

We evaluated the genetic imbalances of a series of 53 PTs (30 borderline, 23 malignant) using the Human CNV370 BeadChip microarray (Illumina), containing 370 000 SNP markers and correlate this alterations with clinicopathological features.

RESULTS

Forty-five PTs (85%) showed chromosome copy number variations (CNVs). Twenty PTs (37%) showed five or more chromosomal imbalances (8/30 borderline (27%) and 12/23 malignant (52%)). The large-scale genetic changes associated with malignant were+7p (9/23), +1q (8/23), -10p (8/23), -13q14 (7/23), +8q (6/23) and +10q (6/23) and borderline were+1q (13/30), -13q14 (9/30), -6q (8/30) and -10p (8/30). Losses in 9p21.3, encompassing CDKN2A/B gene, were present in three tumours (malignant), whereas deletions of 13q, with a minimal region in 13q14.2 encompassing the RB1 gene, were found in 9/30 borderline and 7/28 malignant tumours. High-level amplifications were seen in eight tumours (seven malignant and one borderline): in 7p in three tumours (including EGFR in two), 7q31.2 (including TFEC and MET), 8q24.21 (including MYC) and 8q23.3 (including CSMD3) in one tumour each.

CONCLUSIONS

Whole-genome profiling by SNP arrays in PTs leads to identify a high number of CNV, gains of 7p and 8q, losses of 13q and 10, losses in 9p21.3 (CDKN2A/B) and the presence of amplifications, especially involving EGFR, as markers of potentially malignant tumours.

摘要

目的

本研究旨在通过全基因组分析一系列乳腺交界性和恶性叶状肿瘤(PTs),以识别有助于在交界性肿瘤中识别潜在恶性肿瘤的基因组标志物。

方法

我们使用包含370,000个单核苷酸多态性(SNP)标记的人类CNV370 BeadChip微阵列(Illumina)评估了53例PTs(30例交界性,23例恶性)的基因失衡情况,并将这些改变与临床病理特征相关联。

结果

45例PTs(85%)显示出染色体拷贝数变异(CNVs)。20例PTs(37%)显示出五个或更多的染色体失衡(8/30例交界性(27%)和12/23例恶性(52%))。与恶性相关的大规模基因改变为+7p(9/23)、+1q(8/23)、-10p(8/23)、-13q14(7/23)、+8q(6/23)和+10q(6/23),与交界性相关的为+1q(13/30)、-13q14(9/30)、-6q(8/30)和-10p(8/30)。包含CDKN2A/B基因的9p21.3区域缺失出现在3例肿瘤(恶性)中,而13q缺失,其最小区域位于13q14.2包含RB1基因,在9/30例交界性肿瘤和7/28例恶性肿瘤中被发现。在8例肿瘤(7例恶性和1例交界性)中观察到高水平扩增:3例肿瘤中7p扩增(2例包括表皮生长因子受体(EGFR)),1例肿瘤中7q31.2扩增(包括TFEC和MET),1例肿瘤中8q24.21扩增(包括MYC),1例肿瘤中8q23.3扩增(包括CSMD3)。

结论

通过SNP阵列对PTs进行全基因组分析可识别大量的CNV、7p和8q的增加、13q和10的缺失、9p21.3(CDKN2A/B)的缺失以及扩增的存在,尤其是涉及EGFR的扩增,作为潜在恶性肿瘤的标志物。

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