Torres-Ayuso Pedro, Sahoo Sudhakar, Ashton Garry, An Elvira, Simms Nicole, Galvin Melanie, Leong Hui Sun, Frese Kristopher K, Simpson Kathryn, Cook Natalie, Hughes Andrew, Miller Crispin J, Marais Richard, Dive Caroline, Krebs Matthew G, Brognard John
1Signalling Networks in Cancer Group, Cancer Research UK, Manchester Institute, University of Manchester, Manchester, M20 4BX UK.
2Signaling Networks in Cancer Section, Laboratory of Cell and Developmental Signaling, Center for Cancer Research, National Cancer Institute, Frederick, MD 21702 USA.
NPJ Genom Med. 2018 Jun 20;3:15. doi: 10.1038/s41525-018-0055-6. eCollection 2018.
Precision medicine aims to tailor cancer therapies to target specific tumor-promoting aberrations. For tumors that lack actionable drivers, which occurs frequently in the clinic, extensive molecular characterization and pre-clinical drug efficacy studies will be required. A cell line maintained at low passage and a patient- derived xenograft model (PDX) were generated using a fresh biopsy from a patient with a poorly-differentiated neuroendocrine tumor of unknown primary origin. Next-generation sequencing, high throughput signaling network analysis, and drug efficacy trials were then conducted to identify actionable targets for therapeutic intervention. No actionable mutations were identified after whole exome sequencing of the patient's DNA. However, whole genome sequencing revealed amplification of the 3q and 5p chromosomal arms, that include the and genes, respectively. We then conducted pathway analysis, which revealed activation of the AKT pathway. Based on this analysis, efficacy of PIK3CA and AKT inhibitors were evaluated in the tumor biopsy-derived cell culture and PDX, and response to the AKT inhibitor AZD5363 was observed both in vitro and in vivo indicating the patient would benefit from targeted therapies directed against the serine/threonine kinase AKT. In conclusion, our study demonstrates that high throughput signaling pathway analysis will significantly aid in identifying actionable alterations in rare tumors and guide patient stratification into early-phase clinical trials.
精准医学旨在定制癌症治疗方案,以针对特定的肿瘤促进畸变。对于临床上常见的缺乏可操作驱动因素的肿瘤,将需要进行广泛的分子特征分析和临床前药物疗效研究。使用来自一名原发灶不明的低分化神经内分泌肿瘤患者的新鲜活检样本,建立了低传代细胞系和患者来源的异种移植模型(PDX)。随后进行了二代测序、高通量信号网络分析和药物疗效试验,以确定可用于治疗干预的靶点。对患者DNA进行全外显子组测序后,未发现可操作的突变。然而,全基因组测序显示3号染色体长臂和5号染色体短臂发生扩增,分别包含 和 基因。然后我们进行了通路分析,结果显示AKT通路激活。基于这一分析,在肿瘤活检来源的细胞培养物和PDX中评估了PIK3CA和AKT抑制剂的疗效,在体外和体内均观察到对AKT抑制剂AZD5363的反应,表明该患者将从针对丝氨酸/苏氨酸激酶AKT的靶向治疗中获益。总之,我们的研究表明,高通量信号通路分析将显著有助于识别罕见肿瘤中的可操作改变,并指导患者分层进入早期临床试验。