Tian Sun, Roepman Paul, Van't Veer Laura J, Bernards Rene, de Snoo Femke, Glas Annuska M
Agendia BV, Science Park 406, 1098 XH Amsterdam, The Netherlands.
Biomark Insights. 2010 Nov 28;5:129-38. doi: 10.4137/BMI.S6184.
MammaPrint was developed as a diagnostic tool to predict risk of breast cancer metastasis using the expression of 70 genes. To better understand the tumor biology assessed by MammaPrint, we interpreted the biological functions of the 70-genes and showed how the genes reflect the six hallmarks of cancer as defined by Hanahan and Weinberg.
We used a bottom-up system biology approach to elucidate how the cellular processes reflected by the 70-genes work together to regulate tumor activities and progression. The biological functions of the genes were analyzed using literature research and several bioinformatics tools. Protein-protein interaction network analyses indicated that the 70-genes form highly interconnected networks and that their expression levels are regulated by key tumorigenesis related genes such as TP53, RB1, MYC, JUN and CDKN2A. The biological functions of the genes could be associated with the essential steps necessary for tumor progression and metastasis, and cover the six well-defined hallmarks of cancer, reflecting the acquired malignant characteristics of a cancer cell along with tumor progression and metastasis-related biological activities.
Genes in the MammaPrint gene signature comprehensively measure the six hallmarks of cancer-related biology. This finding establishes a link between a molecular signature and the underlying molecular mechanisms of tumor cell progression and metastasis.
MammaPrint作为一种诊断工具而被开发出来,用于通过70个基因的表达来预测乳腺癌转移风险。为了更好地理解MammaPrint所评估的肿瘤生物学特性,我们阐释了这70个基因的生物学功能,并展示了这些基因如何反映Hanahan和Weinberg所定义的癌症六大特征。
我们采用自下而上的系统生物学方法来阐明由这70个基因所反映的细胞过程是如何共同作用以调节肿瘤活动和进展的。利用文献研究和几种生物信息学工具对这些基因的生物学功能进行了分析。蛋白质-蛋白质相互作用网络分析表明,这70个基因形成了高度互联的网络,并且它们的表达水平受关键肿瘤发生相关基因如TP53、RB1、MYC、JUN和CDKN2A的调控。这些基因的生物学功能可能与肿瘤进展和转移所需的关键步骤相关,并涵盖癌症的六个明确特征,反映了癌细胞随着肿瘤进展和转移相关生物学活动而获得的恶性特征。
MammaPrint基因特征中的基因全面衡量了癌症相关生物学的六个特征。这一发现建立了分子特征与肿瘤细胞进展和转移的潜在分子机制之间的联系。