Preston D L, Krestinina L Y, Stram D O, Epifanova S B, Shishkina E A, Napier B A, Moroz B E, Startsev N V, Degteva M O, Akleyev A V
Hirosoft International, Eureka, California.
Urals Research Center for Radiation Medicine, Chelyabinsk, Russian Federation.
Radiat Res. 2025 Jul 1;204(1):15-26. doi: 10.1667/RADE-24-00195.1.
The objective of the work was to estimate the dose dependence of mortality risk from solid cancers in a cohort that includes members of two cohorts of residents of the Southern Urals who received chronic environmental low-dose, low-dose-rate radiation exposure from releases of the Mayak Plutonium Production Association. These analyses use dose and dose uncertainty estimates from a recently developed Monte-Carlo dosimetry system. The 47,950 members of the cohort include the Techa River Cohort of people who lived in the villages on the Techa River between 1950 and the end of 1960 and the East Urals Radioactive Trace Cohort of people who lived in territories of Chelyabinsk Oblast contaminated by the explosion of a radioactive waste depository on September 29, 1957, between the date of the accident and the end of 1959. As of the end of 2016, there were 25,723 deaths, including 3,783 solid cancer deaths, with 1,392,394 person years among non-migrant cohort members. The solid cancer mortality rate dose response adjusted for the effect of smoking was estimated using an excess relative risk model. Parameter estimates and confidence intervals were computed using maximum likelihood methods. The corrected information matrix method was used to determine risk estimate confidence intervals (CI) adjusted for dose uncertainty using information on the statistical uncertainty of the parameter estimates and individual dose uncertainty information provided by the dosimetry system. The smoking-adjusted linear excess relative risk (ERR) per 100 mGy for solid cancer mortality was 0.060 (95% CI 0.018 to 0.108) at age 70. The ERR increased significantly in proportion to age to the power 3.1 (95% CI 0.44 to 6.4). The joint effect of radiation and smoking on solid cancer rates appeared to be multiplicative. Adjustment for smoking had little impact on the estimated ERR. Adjusting the ERR confidence interval for dose uncertainty slightly increased the upper confidence bound (adjusted 95% CI 0.018 to 0.120). There was no evidence of nonlinearity in the solid cancer dose response. Except for liver cancer, ERR estimates for various specific types of cancer were positive. However, they were statistically significant only for stomach and female breast cancers. Statistically significant smoking effects were seen for cancers of the lung, stomach, and esophagus. Risk estimates for the two groups in the cohort did not differ significantly. The risk estimates in this cohort were consistent with data in two major occupational cohorts, they were higher than those seen in the Mayak Worker Cohort. While the ERR estimates at age 70 are like those seen in the atomic bomb survivor life span study, the ERR age dependencies were strikingly different. These findings strengthen the evidence for low-dose, low-dose-rate radiation effects on solid cancer mortality rates.
这项工作的目的是在一个队列中估计实体癌死亡风险的剂量依赖性,该队列包括南乌拉尔地区两个居民队列的成员,他们因马亚克钚生产协会的排放而受到慢性环境低剂量、低剂量率辐射照射。这些分析使用了最近开发的蒙特卡洛剂量测定系统得出的剂量和剂量不确定性估计值。该队列的47950名成员包括1950年至1960年底居住在捷恰河畔村庄的捷恰河队列人群,以及1957年9月29日放射性废物储存库爆炸后,于事故发生之日至1959年底居住在车里雅宾斯克州受污染地区的东乌拉尔放射性踪迹队列人群。截至2016年底,有25723人死亡,其中包括3783例实体癌死亡,非移民队列成员的人年数为1392394人年。使用超额相对风险模型估计了经吸烟影响调整后的实体癌死亡率剂量反应。参数估计值和置信区间使用最大似然法计算。校正信息矩阵法用于根据剂量测定系统提供的参数估计值的统计不确定性信息和个体剂量不确定性信息,确定经剂量不确定性调整后的风险估计置信区间(CI)。70岁时,实体癌死亡率每100 mGy的吸烟调整线性超额相对风险(ERR)为0.060(95%CI 0.018至0.108)。ERR随年龄显著增加,与年龄的3.1次方成正比(95%CI 0.44至6.4)。辐射和吸烟对实体癌发病率的联合作用似乎是相乘的。吸烟调整对估计的ERR影响不大。将ERR置信区间调整为剂量不确定性后,上限置信区间略有增加(调整后的95%CI 0.018至0.120)。实体癌剂量反应中没有非线性的证据。除肝癌外,各种特定类型癌症的ERR估计值均为阳性。然而,仅胃癌和女性乳腺癌的ERR估计值具有统计学意义。在肺癌、胃癌和食管癌中观察到了具有统计学意义的吸烟效应。该队列中两组的风险估计值没有显著差异。该队列中的风险估计值与两个主要职业队列的数据一致,高于马亚克工人队列中的风险估计值。虽然70岁时的ERR估计值与原子弹幸存者寿命研究中的估计值相似,但ERR随年龄的依赖性却显著不同。这些发现加强了低剂量、低剂量率辐射对实体癌死亡率影响的证据。