Burns Fredric J, Tang Moon-shong, Frenkel Krystyna, Nádas Arthur, Wu Feng, Uddin Ahmed, Zhang Ronghe
Department of Environmental Medicine, NYU School of Medicine, 57 Old Forge Road, Tuxedo, NY 10987, USA.
Radiat Environ Biophys. 2007 Jun;46(2):195-9. doi: 10.1007/s00411-007-0106-3. Epub 2007 Mar 27.
Quantitative cancer incidence data exist for various laboratory animal models, but little of this information is usable for estimating human risks, primarily because of uncertainties about possible mechanistic differences among species. Acceptance and utilization of animal data for human risk assessment will require a much better understanding of the comparative underlying mechanisms than now exists. A dual-lesion, radiation-track model in rat skin has proven to be consistent with tumor induction data with respect to acute radiation doses ranging from 0.5 up to 10 Gy and higher, and average LETs ranging from 0.34 to 150 keV microm(-1) according to the form neoplastic risk (D,L) = CLD + BD2. A recent result with the 56Fe ion beam showed dose-response consistency for malignant (carcinomas) and benign (fibromas) tumor induction with earlier results utilizing argon and neon ion beams. A discrepancy between the model and experiment was found indicating that proportionality of cancer yield with LET did not occur at 150 versus 125 keV microm(-1), i.e. tumor yield did not increase in spite of a 20% increase of LET, which suggests that a LET response maximum exists at or within this dose range. Concordance between the model and tumor induction data in rat skin implies that potential intervening complexities of carcinogenic progression fail to obscure the basic radiobiological assumptions underpinning the model. Gene expression microarray analysis shows that vitamin A inhibits the expression of about 80% of the inflammation-related genes induced by the radiation and prevents about 46% of the neoplasms associated with 56Fe ion radiation without appearing to interfere with the underlying dose and LET response patterns. Further validation is needed, but the model has the potential to provide quantitative estimates of cancer risk as a function of dose and LET for almost any type of radiation exposure and even for combinations of different radiations provided only three empirical parameters can be established for each type of radiation and organ system.
目前已有各种实验动物模型的定量癌症发病率数据,但这些信息中很少能用于估计人类风险,主要原因是不同物种之间可能存在的机制差异存在不确定性。要将动物数据用于人类风险评估,就需要比目前更深入地了解潜在的比较机制。大鼠皮肤中的双损伤辐射径迹模型已被证明,在急性辐射剂量从0.5到10 Gy及更高,平均传能线密度(LET)从0.34到150 keV·μm⁻¹的范围内,与肿瘤诱发数据一致,肿瘤风险形式为(D,L)= CLD + BD²。最近使用⁵⁶Fe离子束的结果显示,恶性(癌)和良性(纤维瘤)肿瘤诱发的剂量反应与早期使用氩离子和氖离子束的结果一致。发现模型与实验之间存在差异,表明在150 keV·μm⁻¹与125 keV·μm⁻¹时癌症发生率与LET不成比例,即尽管LET增加了20%,肿瘤发生率并未增加,这表明在该剂量范围内或该剂量范围内存在LET反应最大值。模型与大鼠皮肤肿瘤诱发数据之间的一致性意味着致癌进展的潜在中间复杂性并未掩盖该模型所基于的基本放射生物学假设。基因表达微阵列分析表明,维生素A可抑制约80%由辐射诱导的炎症相关基因的表达,并预防约46%与⁵⁶Fe离子辐射相关的肿瘤,且似乎不会干扰潜在的剂量和LET反应模式。尽管还需要进一步验证,但该模型有潜力根据剂量和LET对几乎任何类型的辐射暴露甚至不同辐射组合提供癌症风险的定量估计,前提是每种辐射类型和器官系统仅需确定三个经验参数。