{"title":"低辐射剂量预防和消除癌症模型的突破。","authors":"Bobby R Scott","doi":"10.1177/15593258251359335","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Previously the author was unable to develop a formal mathematical characterization of his probability-based hormetic relative risk (HRR) model for cancer prevention/elimination by absorbed doses (<i>D</i>) of ionizing radiation in the hormetic zone where <i>D</i> < <i>D</i> <sub>t</sub> (population absorbed dose threshold for cancer induction).</p><p><strong>Objective: </strong>To develop a formal mathematical characterization of the HRR model's disease prevention function <i>DPF</i>(<i>D</i>), which is the cancer prevention/elimination probability.</p><p><strong>Approach: </strong>Use distributed (over a population) individual-specific, natural-defenses-enhancing (E) and suppressing (S) dose thresholds.</p><p><strong>Results: </strong><i>DPF</i>(<i>D</i>) is now mathematically characterized based on Weibull-type E and S thresholds distributions. The E thresholds predominate at very low radiation doses and the S thresholds predominate at higher doses just below <i>D</i> <sub>t</sub>. This leads to a hormetic dose-response relationship for cancer relative risk <i>RR</i>(<i>D</i>) (= 1 - <i>DPF</i>(<i>D</i>)) for doses from zero (representing natural background radiation exposure) to dose <i>D</i> <sub>t</sub>. The greatly improved HRR model is quite flexible and was applied to lung cancer and reticulum cell sarcoma prevention/elimination data from a study involving more than 15 000 gamma-ray exposed mice.</p><p><strong>Conclusion: </strong>The System of Radiological Protection needs to be updated to account for health benefits rather than invalid LNT-hypothesis-based phantom radiation-caused cancers from radiation doses < <i>D</i> <sub>t</sub>.</p>","PeriodicalId":11285,"journal":{"name":"Dose-Response","volume":"23 3","pages":"15593258251359335"},"PeriodicalIF":2.4000,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12235108/pdf/","citationCount":"0","resultStr":"{\"title\":\"A Breakthrough on Modeling Cancer Prevention and Elimination by Low Radiation Doses.\",\"authors\":\"Bobby R Scott\",\"doi\":\"10.1177/15593258251359335\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Previously the author was unable to develop a formal mathematical characterization of his probability-based hormetic relative risk (HRR) model for cancer prevention/elimination by absorbed doses (<i>D</i>) of ionizing radiation in the hormetic zone where <i>D</i> < <i>D</i> <sub>t</sub> (population absorbed dose threshold for cancer induction).</p><p><strong>Objective: </strong>To develop a formal mathematical characterization of the HRR model's disease prevention function <i>DPF</i>(<i>D</i>), which is the cancer prevention/elimination probability.</p><p><strong>Approach: </strong>Use distributed (over a population) individual-specific, natural-defenses-enhancing (E) and suppressing (S) dose thresholds.</p><p><strong>Results: </strong><i>DPF</i>(<i>D</i>) is now mathematically characterized based on Weibull-type E and S thresholds distributions. The E thresholds predominate at very low radiation doses and the S thresholds predominate at higher doses just below <i>D</i> <sub>t</sub>. This leads to a hormetic dose-response relationship for cancer relative risk <i>RR</i>(<i>D</i>) (= 1 - <i>DPF</i>(<i>D</i>)) for doses from zero (representing natural background radiation exposure) to dose <i>D</i> <sub>t</sub>. The greatly improved HRR model is quite flexible and was applied to lung cancer and reticulum cell sarcoma prevention/elimination data from a study involving more than 15 000 gamma-ray exposed mice.</p><p><strong>Conclusion: </strong>The System of Radiological Protection needs to be updated to account for health benefits rather than invalid LNT-hypothesis-based phantom radiation-caused cancers from radiation doses < <i>D</i> <sub>t</sub>.</p>\",\"PeriodicalId\":11285,\"journal\":{\"name\":\"Dose-Response\",\"volume\":\"23 3\",\"pages\":\"15593258251359335\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12235108/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Dose-Response\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/15593258251359335\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/7/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Dose-Response","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/15593258251359335","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/7/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0
摘要
背景：在此之前，作者无法对其基于概率的辐照相对危险度（HRR）模型进行正式的数学表征，该模型用于在D < D t（诱导癌症的人群吸收剂量阈值）的辐照区通过电离辐射的吸收剂量(D)预防/消除癌症。目的：建立HRR模型疾病预防函数DPF(D)的形式化数学表征，即癌症预防/消除概率。方法：使用分布的（在人群中）个体特异性的、增强自然防御(E)和抑制(S)剂量阈值。结果：DPF(D)现在基于weibull型E和S阈值分布进行数学表征。E阈值占主导地位在非常低的辐射剂量和高剂量的年代阈值占主导地位略低于D t。这导致癌症激效剂量反应关系的相对风险RR (D) (= 1 - DPF (D))的剂量从0(代表自然背景辐射)剂量D t。大大提高了嗯模型非常灵活,并且应用于肺癌和网状细胞肉瘤预防/消除数据从000年一项研究涉及超过15伽马射线暴露出来老鼠。结论：放射防护系统需要更新，以考虑健康效益，而不是无效的基于llt假设的辐射剂量< D t的幻像辐射引起的癌症。
A Breakthrough on Modeling Cancer Prevention and Elimination by Low Radiation Doses.
Background: Previously the author was unable to develop a formal mathematical characterization of his probability-based hormetic relative risk (HRR) model for cancer prevention/elimination by absorbed doses (D) of ionizing radiation in the hormetic zone where D < Dt (population absorbed dose threshold for cancer induction).
Objective: To develop a formal mathematical characterization of the HRR model's disease prevention function DPF(D), which is the cancer prevention/elimination probability.
Approach: Use distributed (over a population) individual-specific, natural-defenses-enhancing (E) and suppressing (S) dose thresholds.
Results: DPF(D) is now mathematically characterized based on Weibull-type E and S thresholds distributions. The E thresholds predominate at very low radiation doses and the S thresholds predominate at higher doses just below Dt. This leads to a hormetic dose-response relationship for cancer relative risk RR(D) (= 1 - DPF(D)) for doses from zero (representing natural background radiation exposure) to dose Dt. The greatly improved HRR model is quite flexible and was applied to lung cancer and reticulum cell sarcoma prevention/elimination data from a study involving more than 15 000 gamma-ray exposed mice.
Conclusion: The System of Radiological Protection needs to be updated to account for health benefits rather than invalid LNT-hypothesis-based phantom radiation-caused cancers from radiation doses < Dt.
Dose-ResponsePHARMACOLOGY & PHARMACY-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
CiteScore
4.90
自引率
4.00%
发文量
140
审稿时长
>12 weeks
期刊介绍：
Dose-Response is an open access peer-reviewed online journal publishing original findings and commentaries on the occurrence of dose-response relationships across a broad range of disciplines. Particular interest focuses on experimental evidence providing mechanistic understanding of nonlinear dose-response relationships.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
