使用肺癌瘤原因驱动因素的多重分析来选择向药物
Mark G Kris1, Bruce E Johnson2, Lynne D Berry3
1Memorial Sloan Kettering Cancer Center, New York, New York.
JAMA
|May 22, 2014
概括
多重测试在64%的肺腺癌患者中发现了可操作的瘤驱动因素. 基因型导向疗法与改善的生存率有关,尽管需要进一步的随机试验.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 分子生物学分子生物学
背景情况:
- 向瘤驱动因素显著改善了肺腺癌治疗.
- 肺癌突变联盟的目标是识别这些驱动因素以进行个性化治疗.
- 多重测试是为了同时测试多个基因组改变而开发的.
研究的目的:
- 为了确定肺腺癌中的瘤原因驱动因素的频率.
- 评估基因型导向治疗选择的实用性.
- 测量接受向治疗的患者的生存结果.
主要方法:
- 来自1007名转移性肺腺癌患者的瘤样本被测试了10个关键的致癌驱动因素.
- 基因定型结果指导了向治疗或临床试验招生的选择.
- 收集并分析了基因型导向治疗和没有基因型导向治疗的患者的生存数据.
主要成果:
- 在733个完全基因型的瘤中,64%的瘤中发现了可操作的瘤原因驱动因素.
- KRAS突变 (25%) 和EGFR突变 (17%) 是最常见的驱动因素.
- 接受基因型导向治疗的患者与没有接受基因型导向治疗的患者相比,平均存活时间明显更长.
结论:
- 多复合分子分析在识别肺腺癌中可行的驱动因素方面是有效的.
- 基因型导向治疗选择有助于临床决策.
- 虽然有希望,但随机对照试验是必要的,以最终证实有针对性的疗法改善的生存率.
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