UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Dublin, Ireland.
Oncogene. 2012 Jul 26;31(30):3483-94. doi: 10.1038/onc.2011.519. Epub 2011 Dec 5.
Personalized medicine requires the identification of unambiguous prognostic and predictive biomarkers to inform therapeutic decisions. Within this context, the management of lymph node-negative breast cancer is the subject of much debate with particular emphasis on the requirement for adjuvant chemotherapy. The identification of prognostic and predictive biomarkers in this group of patients is crucial. Here, we demonstrate by tissue microarray and automated image analysis that the cocaine- and amphetamine-regulated transcript (CART) is expressed in primary and metastatic breast cancer and is an independent poor prognostic factor in estrogen receptor (ER)-positive, lymph node-negative tumors in two separate breast cancer cohorts (n=690; P=0.002, 0.013). We also show that CART increases the transcriptional activity of ERα in a ligand-independent manner via the mitogen-activated protein kinase pathway and that CART stimulates an autocrine/paracrine loop within tumor cells to amplify the CART signal. Additionally, we demonstrate that CART expression in ER-positive breast cancer cell lines protects against tamoxifen-mediated cell death and that high CART expression predicts disease outcome in tamoxifen-treated patients in vivo in three independent breast cancer cohorts. We believe that CART profiling will help facilitate stratification of lymph node-negative breast cancer patients into high- and low-risk categories and allow for the personalization of therapy.
个体化医学需要明确的预后和预测生物标志物来为治疗决策提供信息。在这种背景下,淋巴结阴性乳腺癌的治疗是一个备受争议的话题,尤其是在辅助化疗的需求方面。在这组患者中确定预后和预测生物标志物至关重要。在这里,我们通过组织微阵列和自动图像分析证明可卡因和苯丙胺调节转录物(CART)在原发性和转移性乳腺癌中表达,并且在两个独立的乳腺癌队列(n=690;P=0.002,0.013)中,CART 是雌激素受体(ER)阳性、淋巴结阴性肿瘤的独立不良预后因素。我们还表明,CART 通过丝裂原活化蛋白激酶途径以配体非依赖性方式增加 ERα 的转录活性,并且 CART 刺激肿瘤细胞内的自分泌/旁分泌环来放大 CART 信号。此外,我们证明 ER 阳性乳腺癌细胞系中的 CART 表达可防止他莫昔芬介导的细胞死亡,并且在三个独立的乳腺癌队列中,高 CART 表达可预测接受他莫昔芬治疗的患者的疾病结局。我们相信,CART 分析将有助于将淋巴结阴性乳腺癌患者分层为高风险和低风险类别,并实现治疗的个体化。