Suppr超能文献

NOTCH3 表达与乳腺癌播种和远处转移有关。

NOTCH3 expression is linked to breast cancer seeding and distant metastasis.

机构信息

Department of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN, USA.

Department of Medical Oncology, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN, USA.

出版信息

Breast Cancer Res. 2018 Sep 4;20(1):105. doi: 10.1186/s13058-018-1020-0.

Abstract

BACKGROUND

Development of distant metastases involves a complex multistep biological process termed the invasion-metastasis cascade, which includes dissemination of cancer cells from the primary tumor to secondary organs. NOTCH developmental signaling plays a critical role in promoting epithelial-to-mesenchymal transition, tumor stemness, and metastasis. Although all four NOTCH receptors show oncogenic properties, the unique role of each of these receptors in the sequential stepwise events that typify the invasion-metastasis cascade remains elusive.

METHODS

We have established metastatic xenografts expressing high endogenous levels of NOTCH3 using estrogen receptor alpha-positive (ERα) MCF-7 breast cancer cells with constitutive active Raf-1/mitogen-associated protein kinase (MAPK) signaling (vMCF-7) and MDA-MB-231 triple-negative breast cancer (TNBC) cells. The critical role of NOTCH3 in inducing an invasive phenotype and poor outcome was corroborated in unique TNBC cells resulting from a patient-derived brain metastasis (TNBC-M25) and in publicly available claudin-low breast tumor specimens collected from participants in the Molecular Taxonomy of Breast Cancer International Consortium database.

RESULTS

In this study, we identified an association between NOTCH3 expression and development of metastases in ERα and TNBC models. ERα breast tumor xenografts with a constitutive active Raf-1/MAPK signaling developed spontaneous lung metastases through the clonal expansion of cancer cells expressing a NOTCH3 reprogramming network. Abrogation of NOTCH3 expression significantly reduced the self-renewal and invasive capacity of ex vivo breast cancer cells, restoring a luminal CD44/CD24/ERα phenotype. Forced expression of the mitotic Aurora kinase A (AURKA), which promotes breast cancer metastases, failed to restore the invasive capacity of NOTCH3-null cells, demonstrating that NOTCH3 expression is required for an invasive phenotype. Likewise, pharmacologic inhibition of NOTCH signaling also impaired TNBC cell seeding and metastatic growth. Significantly, the role of aberrant NOTCH3 expression in promoting tumor self-renewal, invasiveness, and poor outcome was corroborated in unique TNBC cells from a patient-derived brain metastasis and in publicly available claudin-low breast tumor specimens.

CONCLUSIONS

These findings demonstrate the key role of NOTCH3 oncogenic signaling in the genesis of breast cancer metastasis and provide a compelling preclinical rationale for the design of novel therapeutic strategies that will selectively target NOTCH3 to halt metastatic seeding and to improve the clinical outcomes of patients with breast cancer.

摘要

背景

远处转移的发展涉及一个复杂的多步骤生物学过程,称为侵袭-转移级联,其中包括癌细胞从原发性肿瘤扩散到继发性器官。NOTCH 发育信号在促进上皮-间充质转化、肿瘤干细胞和转移中起着关键作用。尽管所有四个 NOTCH 受体都表现出致癌特性,但每个受体在典型侵袭-转移级联的顺序逐步事件中的独特作用仍然难以捉摸。

方法

我们使用具有组成性激活的 Raf-1/丝裂原激活蛋白激酶 (MAPK) 信号的雌激素受体α阳性 (ERα) MCF-7 乳腺癌细胞建立了表达高水平内源性 NOTCH3 的转移性异种移植物(vMCF-7)和 MDA-MB-231 三阴性乳腺癌 (TNBC) 细胞。NOTCH3 在诱导侵袭表型和不良预后中的关键作用在源自患者脑转移的独特 TNBC 细胞(TNBC-M25)和从分子乳腺癌国际联合会数据库中参与者收集的公开可用 Claudin-Low 乳腺肿瘤标本中得到证实。

结果

在这项研究中,我们在 ERα 和 TNBC 模型中发现了 NOTCH3 表达与转移发展之间的关联。具有组成性激活的 Raf-1/MAPK 信号的 ERα 乳腺肿瘤异种移植物通过表达 NOTCH3 重编程网络的癌细胞克隆扩增自发发展为肺转移。抑制 NOTCH3 表达可显著降低体外乳腺癌细胞的自我更新和侵袭能力,恢复腔 CD44/CD24/ERα 表型。强制表达促进乳腺癌转移的有丝分裂 Aurora 激酶 A(AURKA)未能恢复 NOTCH3 缺失细胞的侵袭能力,表明 NOTCH3 表达是侵袭表型所必需的。同样,NOTCH 信号的药理学抑制也会损害 TNBC 细胞播种和转移生长。重要的是,在源自患者脑转移的独特 TNBC 细胞和公开可用的 Claudin-Low 乳腺肿瘤标本中,证实了异常 NOTCH3 表达在促进肿瘤自我更新、侵袭性和不良预后中的关键作用。

结论

这些发现表明 NOTCH3 致癌信号在乳腺癌转移的发生中起着关键作用,并为设计新型治疗策略提供了有力的临床前依据,这些策略将选择性地针对 NOTCH3 以阻止转移播种并改善乳腺癌患者的临床结局。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33fc/6123953/f8ee137341f3/13058_2018_1020_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验