Savci-Heijink C Dilara, Halfwerk Hans, Koster Jan, van de Vijver Marc J
Department of Pathology, Academic Medical Center, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
Department of Oncogenomics, Academic Medical Center, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
Breast Cancer Res Treat. 2016 Apr;156(2):249-59. doi: 10.1007/s10549-016-3741-z. Epub 2016 Mar 10.
Metastatic cancer remains the leading cause of death for patients with breast cancer. To understand the mechanisms underlying the development of distant metastases to specific sites is therefore important and of potential clinical value. From 157 primary breast tumours of the patients with known metastatic disease, gene expression profiling data were generated and correlated to metastatic behaviour including site-specific metastasis, metastasis pattern and survival outcomes. We analysed gene expression signatures specifically associated with the development of bone metastases. As a validation cohort, we used a published dataset of 376 breast carcinomas for which gene expression data and site-specific metastasis information were available. 80.5 % of luminal-type tumours developed bone metastasis as opposed to 41.7 % of basal and 55.6 % of HER2-like tumours. A novel 15-gene signature identified 82.4 % of the tumours with bone metastasis, 85.2 % of the tumours which had bone metastasis as first site of metastasis and 100 % of the ones with bone metastasis only (p 9.99e-09), in the training set. In the independent dataset, 81.2 % of the positive tested tumours had known metastatic disease to the bone (p 4.28e-10). This 15-gene signature showed much better correlation with the development of bone metastases than previously identified signatures and was predictive in both ER-positive as well as in ER-negative tumours. Multivariate analyses revealed that together with the molecular subtype, our 15-gene expression signature was significantly correlated to bone metastasis status (p <0.001, 95 % CI 3.86-48.02 in the training set; p 0.001, 95 % CI 1.54-5.00 in the independent set). The 15 genes, APOPEC3B, ATL2, BBS1, C6orf61, C6orf167, MMS22L, KCNS1, MFAP3L, NIP7, NUP155, PALM2, PH-4, PGD5, SFT2D2 and STEAP3, encoded mainly membrane-bound molecules with molecular function of protein binding. The expression levels of the up-regulated genes (NAT1, BBS1 and PH-4) were also found to be correlated to epithelial to mesenchymal transition status of the tumour. We have identified a novel 15-gene expression signature associated with the development of bone metastases in breast cancer patients. This bone metastasis signature is the first to be identified using a supervised classification approach in a large series of patients and will help forward research in this area towards clinical applications.
转移性癌症仍然是乳腺癌患者的主要死因。因此,了解远处转移至特定部位的潜在机制具有重要意义和潜在临床价值。我们从157例已知有转移疾病的患者的原发性乳腺肿瘤中获取基因表达谱数据,并将其与转移行为(包括部位特异性转移、转移模式和生存结果)相关联。我们分析了与骨转移发生特别相关的基因表达特征。作为验证队列,我们使用了一个已发表的包含376例乳腺癌的数据集,该数据集有基因表达数据和部位特异性转移信息。80.5%的管腔型肿瘤发生了骨转移,而基底型肿瘤为41.7%,HER2样肿瘤为55.6%。在训练集中,一个新的15基因特征识别出82.4%的有骨转移的肿瘤、85.2%的以骨转移为首个转移部位的肿瘤以及100%仅发生骨转移的肿瘤(p = 9.99e - 09)。在独立数据集中,81.2%检测为阳性的肿瘤已知有骨转移(p = 4.28e - 10)。这个15基因特征与骨转移发生的相关性比之前确定的特征要好得多,并且在雌激素受体(ER)阳性和ER阴性肿瘤中均具有预测性。多变量分析显示,与分子亚型一起,我们的15基因表达特征与骨转移状态显著相关(在训练集中p <0.001,95%置信区间为3.86 - 48.02;在独立数据集中p = 0.001,95%置信区间为1.54 - 5.00)。这15个基因,即载脂蛋白C3B(APOPEC3B)、无翅型MMTV整合位点家族成员2(ATL2)、巴德-毕德综合征1(BBS1)、6号染色体开放阅读框61(C6orf61)、6号染色体开放阅读框167(C6orf167)、减数分裂后修复蛋白22样蛋白(MMS22L)、钾通道亚家族S成员1(KCNS1)、微丝相关蛋白3样蛋白(MFAP3L)、核仁蛋白7(NIP7)、核孔蛋白155(NUP155)、棕榈蛋白2(PALM2)、PH-4、前列腺素D合成酶5(PGD5)、含SEC14结构域蛋白2(SFT2D2)和前列腺干细胞抗原3(STEAP3),主要编码具有蛋白质结合分子功能的膜结合分子。上调基因(NAT1、BBS1和PH-4)的表达水平也被发现与肿瘤的上皮-间质转化状态相关。我们已经识别出一种与乳腺癌患者骨转移发生相关的新的15基因表达特征。这个骨转移特征是首次在大量患者中使用监督分类方法识别出来的,将有助于推动该领域的研究向临床应用发展。