Cancer Research Division, Peter MacCallum Cancer Centre, Victorian Comprehensive Cancer Centre, Parkville, Victoria 3050, Australia
Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria 3050, Australia.
Dis Model Mech. 2018 May 29;11(5):dmm032250. doi: 10.1242/dmm.032250.
Triple-negative breast cancer (TNBC) represents 10-20% of all human ductal adenocarcinomas and has a poor prognosis relative to other subtypes. Hence, new molecular targets for therapeutic intervention are necessary. Analyses of panels of human or mouse cancer lines derived from the same individual that differ in their cellular phenotypes but not in genetic background have been instrumental in defining the molecular players that drive the various hallmarks of cancer. To determine the molecular regulators of metastasis in TNBC, we completed a rigorous and characterisation of four populations of the MDA-MB-231 human breast cancer line ranging in aggressiveness from non-metastatic to spontaneously metastatic to lung, liver, spleen and lymph node. Single nucleotide polymorphism (SNP) array analyses and genome-wide mRNA expression profiles of tumour cells isolated from orthotopic mammary xenografts were compared between the four lines to define both cell autonomous pathways and genes associated with metastatic proclivity. Gene set enrichment analysis (GSEA) demonstrated an unexpected association between both ribosome biogenesis and mRNA metabolism and metastatic capacity. Differentially expressed genes or families of related genes were allocated to one of four categories, associated with either metastatic initiation (e.g. , , ), metastatic virulence (e.g. , ), metastatic suppression (e.g. , , , , , ) or metastatic avirulence (e.g. ). Collectively, this model system based on MDA-MB-231 cells should be useful for the assessment of gene function in the metastatic cascade and also for the testing of novel experimental therapeutics for the treatment of TNBC.This article has an associated First Person interview with the first author of the paper.
三阴性乳腺癌(TNBC)占所有人类导管腺癌的 10-20%,与其他亚型相比预后较差。因此,需要新的分子靶标用于治疗干预。对源自同一个体的不同细胞表型但遗传背景相同的人类或小鼠癌细胞系进行面板分析,对于确定驱动癌症各种特征的分子参与者具有重要作用。为了确定 TNBC 转移的分子调节剂,我们对 MDA-MB-231 人乳腺癌系的四个亚群进行了严格的特征分析,这四个亚群的侵袭性从非转移性到自发性转移到肺、肝、脾和淋巴结不等。对来自原位乳腺异种移植物的肿瘤细胞进行的单核苷酸多态性(SNP)阵列分析和全基因组 mRNA 表达谱比较了这四个亚群之间的差异,以确定与转移倾向相关的细胞自主途径和基因。基因集富集分析(GSEA)表明核糖体生物发生和 mRNA 代谢与转移能力之间存在意外关联。差异表达的基因或相关基因家族被分配到四个类别之一,与转移起始(例如, , )、转移毒力(例如, )、转移抑制(例如, , , , )或转移无毒性(例如, )相关。总之,基于 MDA-MB-231 细胞的这种模型系统应该有助于评估转移级联中的基因功能,也有助于测试治疗 TNBC 的新型实验性治疗方法。本文有该论文第一作者的相关第一人称采访。