Division of Population Sciences.
Thoracic Oncology Program, Dana-Farber Cancer Institute, Boston, MA.
J Natl Cancer Inst. 2019 Apr 1;111(4):431-434. doi: 10.1093/jnci/djy202.
Data are limited regarding whether the availability of biomarker-directed therapy for lung cancer exacerbates racial and socioeconomic disparities. Patients diagnosed with stage IV lung adenocarcinoma from 2008 to 2013 were identified using Surveillance, Epidemiology, and End Results Program-Medicare. The primary outcome was a Medicare claim for molecular testing within 60 days of diagnosis, analyzed using multivariable logistic regression; the secondary outcome was overall survival, analyzed using multivariable Cox proportional hazards models. All statistical tests were two-sided. Of 5556 patients, 1437 (25.9%) had molecular testing. Testing rates were 14.1% among black, 26.2% among white, and 32.8% among patients of Asian/other descent (adjusted P < .001); 20.6% among patients with Medicaid eligibility vs 28.4% among those without (adjusted P = .01); and 19.9% among patients in the highest census tract-level poverty rate quintile vs 30.7% among patients in the lowest quintile (for all quintiles, adjusted P = .18). Median survival from 60 days was 8.2 months among patients with molecular testing within 60 days of diagnosis and 6.1 months among those without (hazard ratio = 0.92, 95% confidence interval = 0.86 to 0.99; adjusted P = .02). Equitable precision medicine requires concerted implementation efforts.
关于生物标志物导向的肺癌治疗是否会加剧种族和社会经济差异的数据有限。使用 Surveillance, Epidemiology, and End Results Program-Medicare 从 2008 年至 2013 年确定了诊断为 IV 期肺腺癌的患者。主要结果是在诊断后 60 天内进行分子检测的 Medicare 索赔,使用多变量逻辑回归进行分析;次要结果是总生存期,使用多变量 Cox 比例风险模型进行分析。所有统计检验均为双侧检验。在 5556 名患者中,有 1437 名(25.9%)接受了分子检测。黑人的检测率为 14.1%,白人的检测率为 26.2%,亚裔/其他血统的患者的检测率为 32.8%(调整后 P < 0.001);有医疗补助资格的患者为 20.6%,无医疗补助资格的患者为 28.4%(调整后 P = 0.01);在五分之一贫困率最高的普查区的患者中,有 19.9%的患者接受了检测,而在五分之一贫困率最低的患者中,有 30.7%的患者接受了检测(对于所有五分之一,调整后 P = 0.18)。在诊断后 60 天内接受分子检测的患者中位生存期为 8.2 个月,而未接受分子检测的患者为 6.1 个月(风险比=0.92,95%置信区间=0.86 至 0.99;调整后 P = 0.02)。公平的精准医学需要协调一致的实施努力。