{"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}
引用次数: 0
Abstract
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.