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治疗初发同步性原发性乳腺癌及其转移灶的遗传异质性。

Genetic Heterogeneity in Therapy-Naïve Synchronous Primary Breast Cancers and Their Metastases.

机构信息

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.

Institute of Pathology, University Hospital Basel, Basel, Switzerland.

出版信息

Clin Cancer Res. 2017 Aug 1;23(15):4402-4415. doi: 10.1158/1078-0432.CCR-16-3115. Epub 2017 Mar 28.

DOI:10.1158/1078-0432.CCR-16-3115
PMID:28351929
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5768571/
Abstract

Paired primary breast cancers and metachronous metastases after adjuvant treatment are reported to differ in their clonal composition and genetic alterations, but it is unclear whether these differences stem from the selective pressures of the metastatic process, the systemic therapies, or both. We sought to define the repertoire of genetic alterations in breast cancer patients with metastatic disease who had not received local or systemic therapy. Up to two anatomically distinct core biopsies of primary breast cancers and synchronous distant metastases from nine patients who presented with metastatic disease were subjected to high-depth whole-exome sequencing. Mutations, copy number alterations and their cancer cell fractions, and mutation signatures were defined using state-of-the-art bioinformatics methods. All mutations identified were validated with orthogonal methods. Genomic differences were observed between primary and metastatic deposits, with a median of 60% (range 6%-95%) of shared somatic mutations. Although mutations in known driver genes including , and were preferentially clonal in both sites, primary breast cancers and their synchronous metastases displayed spatial intratumor heterogeneity. Likely pathogenic mutations affecting epithelial-to-mesenchymal transition-related genes, including , and (), were found to be restricted to or enriched in the metastatic lesions. Mutational signatures of trunk mutations differed from those of mutations enriched in the primary tumor or the metastasis in six cases. Synchronous primary breast cancers and metastases differ in their repertoire of somatic genetic alterations even in the absence of systemic therapy. Mutational signature shifts might contribute to spatial intratumor genetic heterogeneity. .

摘要

配对的原发性乳腺癌和辅助治疗后的异时性转移在克隆组成和遗传改变方面存在差异,但尚不清楚这些差异是源于转移过程的选择压力、系统治疗还是两者兼有。我们试图确定未接受局部或全身治疗的转移性乳腺癌患者的遗传改变谱。对 9 名转移性疾病患者的两个解剖上不同的原发性乳腺癌和同步远处转移的核心活检样本进行了深度全外显子组测序。使用最先进的生物信息学方法定义突变、拷贝数改变及其癌细胞分数和突变特征。通过正交方法验证了所有鉴定的突变。原发性和转移性沉积物之间观察到基因组差异,共享体细胞突变的中位数为 60%(范围为 6%-95%)。虽然包括 、 和 在内的已知驱动基因中的突变在两个部位都是克隆性的,但原发性乳腺癌及其同步转移显示出空间肿瘤内异质性。影响上皮间质转化相关基因的可能致病性突变,包括 、 和 (),仅局限于或富集于转移病灶。在 6 例中,主干突变的突变特征与原发性肿瘤或转移灶中富集的突变的特征不同。即使没有系统治疗,同步的原发性乳腺癌和转移也存在不同的体细胞遗传改变谱。突变特征的转变可能导致空间肿瘤内遗传异质性。

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PLoS Med. 2016 Dec 27;13(12):e1002201. doi: 10.1371/journal.pmed.1002201. eCollection 2016 Dec.
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Spatio-temporal mutation profiles of case-matched colorectal carcinomas and their metastases reveal unique de novo mutations in metachronous lung metastases by targeted next generation sequencing.病例匹配的结直肠癌及其转移灶的时空突变谱通过靶向二代测序揭示了异时性肺转移中独特的新发突变。
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Establishment of multiple machine learning prognostic model for gene differences between primary tumors and lymph nodes in luminal breast cancer.建立用于管腔型乳腺癌原发肿瘤与淋巴结基因差异的多机器学习预后模型。
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Whole-tumoral metabolic heterogeneity in F-FDG PET/CT is a novel prognostic marker for neuroblastoma.全肿瘤代谢异质性在 F-FDG PET/CT 中是神经母细胞瘤的一种新的预后标志物。
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The enrichment of Fanconi anemia/homologous recombination pathway aberrations in ATM/ATR-mutated NSCLC was accompanied by unique molecular features and poor prognosis.ATM/ATR 突变型 NSCLC 中 Fanconi 贫血/同源重组途径异常的富集伴有独特的分子特征和不良预后。
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