Department of Cell, Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Division of Hematology and Medical Oncology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Sci Adv. 2019 May 22;5(5):eaav6528. doi: 10.1126/sciadv.aav6528. eCollection 2019 May.
Colorectal cancer remains a leading source of cancer mortality worldwide. Initial response is often followed by emergent resistance that is poorly responsive to targeted therapies, reflecting currently undruggable cancer drivers such as and overall genomic complexity. Here, we report a novel approach to developing a personalized therapy for a patient with treatment-resistant metastatic KRAS-mutant colorectal cancer. An extensive genomic analysis of the tumor's genomic landscape identified nine key drivers. A transgenic model that altered orthologs of these nine genes in the hindgut was developed; a robotics-based screen using this platform identified trametinib plus zoledronate as a candidate treatment combination. Treating the patient led to a significant response: Target and nontarget lesions displayed a strong partial response and remained stable for 11 months. By addressing a disease's genomic complexity, this personalized approach may provide an alternative treatment option for recalcitrant disease such as KRAS-mutant colorectal cancer.
结直肠癌仍然是全球癌症死亡的主要原因。初始反应通常紧随紧急耐药性,对靶向治疗反应不佳,反映了目前无法治疗的癌症驱动因素,如 和整体基因组复杂性。在这里,我们报告了一种为治疗抵抗性转移性 KRAS 突变结直肠癌患者开发个性化治疗的新方法。对肿瘤基因组景观的广泛基因组分析确定了九个关键驱动因素。开发了一种改变 后肠中这九个基因同源物的转基因模型;使用该平台的基于机器人的筛选确定了曲美替尼加唑来膦酸作为候选治疗组合。对患者进行治疗导致了明显的反应:靶病灶和非靶病灶显示出强烈的部分反应,并稳定了 11 个月。通过解决疾病的基因组复杂性,这种个性化方法可能为 KRAS 突变结直肠癌等难治性疾病提供替代治疗选择。