Memorial Sloan-Kettering Cancer Center, Cornell University, New York, NY, USA.
J Clin Oncol. 2013 Sep 1;31(25):3133-40. doi: 10.1200/JCO.2012.46.5740. Epub 2013 Jul 29.
We sought to define the prevalence and co-occurrence of actionable genomic alterations in patients with high-grade bladder cancer to serve as a platform for therapeutic drug discovery.
An integrative analysis of 97 high-grade bladder tumors was conducted to identify actionable drug targets, which are defined as genomic alterations that have been clinically validated in another cancer type (eg, BRAF mutation) or alterations for which a selective inhibitor of the target or pathway is under clinical investigation. DNA copy number alterations (CNAs) were defined by using array comparative genomic hybridization. Mutation profiling was performed by using both mass spectroscopy-based genotyping and Sanger sequencing.
Sixty-one percent of tumors harbored potentially actionable genomic alterations. A core pathway analysis of the integrated data set revealed a nonoverlapping pattern of mutations in the RTK-RAS-RAF and phosphoinositide 3-kinase/AKT/mammalian target of rapamycin pathways and regulators of G1-S cell cycle progression. Unsupervised clustering of CNAs defined two distinct classes of bladder tumors that differed in the degree of their CNA burden. Integration of mutation and copy number analyses revealed that mutations in TP53 and RB1 were significantly more common in tumors with a high CNA burden (P < .001 and P < .003, respectively).
High-grade bladder cancer possesses substantial genomic heterogeneity. The majority of tumors harbor potentially tractable genomic alterations that may predict for response to target-selective agents. Given the genomic diversity of bladder cancers, optimal development of target-specific agents will require pretreatment genomic characterization.
我们旨在确定高级别膀胱癌患者中可采取行动的基因组改变的患病率和共现率,以此作为治疗药物发现的平台。
对 97 例高级别膀胱癌进行综合分析,以确定可采取行动的药物靶点,这些靶点被定义为已在另一种癌症类型中得到临床验证的基因组改变(例如 BRAF 突变),或针对该靶点或通路的选择性抑制剂正在进行临床研究的改变。通过使用阵列比较基因组杂交来定义 DNA 拷贝数改变(CNAs)。通过基于质谱的基因分型和 Sanger 测序进行突变分析。
61%的肿瘤存在潜在的可采取行动的基因组改变。综合数据集的核心途径分析显示,在 RTK-RAS-RAF 和磷酸肌醇 3-激酶/AKT/雷帕霉素哺乳动物靶蛋白途径以及 G1-S 细胞周期进程调节剂中,突变模式没有重叠。未受监督的 CNA 聚类将膀胱癌分为两个不同的类别,其 CNA 负担程度不同。突变和拷贝数分析的整合表明,TP53 和 RB1 中的突变在具有高 CNA 负担的肿瘤中更为常见(P<0.001 和 P<0.003,分别)。
高级别膀胱癌具有显著的基因组异质性。大多数肿瘤都存在潜在的可治疗的基因组改变,这些改变可能预测对靶向选择性药物的反应。鉴于膀胱癌的基因组多样性,最佳开发靶向特异性药物将需要进行治疗前的基因组特征分析。