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使用正常乳腺组织、原发性乳腺癌和复发性/转移性病变的三联体样本进行靶向下一代测序检测。

Targeted next-generation sequencing assays using triplet samples of normal breast tissue, primary breast cancer, and recurrent/metastatic lesions.

机构信息

Department of Pathology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.

Department of Pathology, Hokuto Hospital, Obihiro, Hokkaido, Japan.

出版信息

BMC Cancer. 2020 Oct 1;20(1):944. doi: 10.1186/s12885-020-07432-w.

Abstract

BACKGROUND

Next-generation sequencing (NGS) has shown that recurrent/metastatic breast cancer lesions may have additional genetic changes compared with the primary tumor. These additional changes may be related to tumor progression and/or drug resistance. However, breast cancer-targeted NGS is not still widely used in clinical practice to compare the genomic profiles of primary breast cancer and recurrent/metastatic lesions.

METHODS

Triplet samples of genomic DNA were extracted from each patient's normal breast tissue, primary breast cancer, and recurrent/metastatic lesion(s). A DNA library was constructed using the QIAseq Human Breast Cancer Panel (93 genes, Qiagen) and then sequenced using MiSeq (Illumina). The Qiagen web portal was utilized for data analysis.

RESULTS

Successful results for three or four samples (normal breast tissue, primary tumor, and at least one metastatic/recurrent lesion) were obtained for 11 of 35 breast cancer patients with recurrence/metastases (36 samples). We detected shared somatic mutations in all but one patient, who had a germline mutation in TP53. Additional mutations that were detected in recurrent/metastatic lesions compared with primary tumor were in genes including TP53 (three patients) and one case each of ATR, BLM, CBFB, EP300, ERBB2, MUC16, PBRM1, and PIK3CA. Actionable mutations and/or copy number variations (CNVs) were detected in 73% (8/11) of recurrent/metastatic breast cancer lesions.

CONCLUSIONS

The QIAseq Human Breast Cancer Panel assay showed that recurrent/metastatic breast cancers sometimes acquired additional mutations and CNV. Such additional genomic changes could provide therapeutic target.

摘要

背景

下一代测序(NGS)表明,复发性/转移性乳腺癌病灶与原发性肿瘤相比可能具有额外的遗传变化。这些额外的变化可能与肿瘤进展和/或耐药性有关。然而,针对乳腺癌的 NGS 并未广泛应用于临床实践中,以比较原发性乳腺癌和复发性/转移性病灶的基因组图谱。

方法

从每位患者的正常乳腺组织、原发性乳腺癌和复发性/转移性病灶中提取三重样本的基因组 DNA。使用 QIAseq 人类乳腺癌 panel(93 个基因,Qiagen)构建 DNA 文库,然后使用 MiSeq(Illumina)进行测序。Qiagen 网页门户用于数据分析。

结果

在 35 例复发性/转移性乳腺癌患者中,有 11 例(36 个样本)成功获得了三到四个样本(正常乳腺组织、原发性肿瘤和至少一个转移/复发病灶)的结果。我们在所有患者中均检测到了共享的体细胞突变,除了一个患者,其 TP53 存在种系突变。与原发性肿瘤相比,在复发性/转移性病灶中检测到的额外突变存在于 TP53(三例患者)和 ATR、BLM、CBFB、EP300、ERBB2、MUC16、PBRM1 和 PIK3CA 等基因中。在 73%(8/11)的复发性/转移性乳腺癌病灶中检测到了可操作的突变和/或拷贝数变异(CNV)。

结论

QIAseq 人类乳腺癌 panel 检测到复发性/转移性乳腺癌有时会获得额外的突变和 CNV。这些额外的基因组变化可能为治疗提供靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e85/7528467/c20041aa1708/12885_2020_7432_Fig1_HTML.jpg

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本文引用的文献

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Cancer Biol Ther. 2020;21(3):197-202. doi: 10.1080/15384047.2019.1685291. Epub 2019 Nov 10.
4
Comprehensive validation of liquid-based cytology specimens for next-generation sequencing in cancer genome analysis.
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5
Genomic characterization of metastatic breast cancers.
Nature. 2019 May;569(7757):560-564. doi: 10.1038/s41586-019-1056-z. Epub 2019 May 22.
6
Alpelisib for -Mutated, Hormone Receptor-Positive Advanced Breast Cancer.
N Engl J Med. 2019 May 16;380(20):1929-1940. doi: 10.1056/NEJMoa1813904.
8
Targeted next-generation sequencing of cancer-related genes in thyroid carcinoma: A single institution's experience.
Oncol Lett. 2018 Dec;16(6):7278-7286. doi: 10.3892/ol.2018.9538. Epub 2018 Oct 2.
10
Actionable Activating Oncogenic ERBB2/HER2 Transmembrane and Juxtamembrane Domain Mutations.
Cancer Cell. 2018 Nov 12;34(5):792-806.e5. doi: 10.1016/j.ccell.2018.09.010. Epub 2018 Oct 25.

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