Department of Medical Oncolo, INSERM U981, Université Paris Sud, Gustave Roussy, Villejuif, France; Institute of Oncology and Breast Unit of Southern Switzerland, Bellinzona, Switzerland.
Department of Medical Oncolo, INSERM U981, Université Paris Sud, Gustave Roussy, Villejuif, France.
Ann Oncol. 2019 Mar 1;30(3):365-373. doi: 10.1093/annonc/mdz036.
Better knowledge of the tumor genomic landscapes has helped to develop more effective targeted drugs. However, there is no tool to interpret targetability of genomic alterations assessed by next-generation sequencing in the context of clinical practice. Our aim is to rank the level of evidence of individual recurrent genomic alterations observed in breast cancer based on the ESMO Scale for Clinical Actionability of molecular Targets (ESCAT) in order to help the clinicians to prioritize treatment. Analyses of databases suggested that there are around 40 recurrent driver alterations in breast cancer. ERBB2 amplification, germline BRCA1/2 mutations, PIK3CA mutations were classified tier of evidence IA based on large randomized trials showing antitumor activity of targeted therapies in patients presenting the alterations. NTRK fusions and microsatellite instability (MSI) were ranked IC. ESR1 mutations and PTEN loss were ranked tier IIA, and ERBB2 mutations and AKT1 mutations tier IIB. Somatic BRCA 1/2 mutations, MDM2 amplifications and ERBB 3 mutations were ranked tier III. Seventeen genes were ranked tier IV based on preclinical evidence. Finally, FGFR1 and CCND1 were ranked tier X alterations because previous studies have shown lack of actionability.
更好地了解肿瘤基因组景观有助于开发更有效的靶向药物。然而,在临床实践中,没有工具可以解释下一代测序评估的基因组改变的靶向性。我们的目的是根据 ESMO 分子靶标临床可操作性量表 (ESCAT) 对乳腺癌中观察到的个体复发性基因组改变的证据水平进行排序,以帮助临床医生确定治疗的优先级。对数据库的分析表明,乳腺癌中存在大约 40 种复发性驱动基因突变。基于大型随机试验显示针对存在这些改变的患者的靶向治疗具有抗肿瘤活性,ERBB2 扩增、种系 BRCA1/2 突变、PIK3CA 突变被归类为证据级别 IA。NTRK 融合和微卫星不稳定性 (MSI) 被归类为 IC。ESR1 突变和 PTEN 缺失被归类为 IIA 级,ERBB2 突变和 AKT1 突变被归类为 IIB 级。体细胞 BRCA 1/2 突变、MDM2 扩增和 ERBB3 突变被归类为 III 级。根据临床前证据,有 17 个基因被归类为 IV 级。最后,FGFR1 和 CCND1 被归类为 X 级改变,因为之前的研究表明它们缺乏可操作性。