The linear no-threshold (LNT) model for low-dose, radiogenic cancer has been a fixture of radiation protection and regulatory requirements for decades, but its validity has long been contested. This article finds, yet again, more questionable data and analyses purporting to support the model, this within the "gold-standard" data set for estimating radiation effects in humans. Herein is addressed a number of significant uncertainties in the Radiation Effects Research Foundation's Life Span Study (LSS) cohort of atomic bomb survivors, especially in its latest update of 2017, showing that the study's support of the LNT model is not evidence based. We find that its latest 2 analyses of solid cancer incidence ignore biology and do not support the LNT model. Additionally, we identify data inconsistencies and missing causalities in the LSS data and analyses that place reliance on uncertain, imputed data and apparently flawed modeling, further invalidating the LNT model. These observations lead to a most credible conclusion, one supporting a threshold model for the dose-response relationship between low-dose radiation exposure and radiogenic cancer in humans. Based upon these findings and those cited from others, it becomes apparent that the LNT model cannot be scientifically valid.
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http://dx.doi.org/10.1177/1559325818824200 | DOI Listing |
J Cancer
January 2025
Engineering Technological Center of Mushroom Industry, Minnan Normal University, Zhangzhou, Fujian 363000, People's Republic of China.
Melanoma is a highly malignant and difficult-to-treat skin cancer. Many researchers are exploring natural products for its treatment. Lentinan (LNT), extracted from , exerts strong anti-tumor effects.
View Article and Find Full Text PDFBiomaterials
May 2025
State Key Laboratory of Bioactive Molecules and Druggability Assessment, Guangdong Basic Research Center of Excellence for Natural Bioactive Molecules and Discovery of Innovative Drugs, Key Laboratory of CNS Regeneration (Ministry of Education), Guangdong Key Laboratory of Non-Human Primate Research, GHM Institute of CNS Regeneration, Department of Chemistry, Jinan University, Guangzhou, 510632, China; Department of Psychiatry, The First Affiliated Hospital, Jinan University, Guangzhou, 510632, China; Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, 226019, China; Department of Neurology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, 570100, China. Electronic address:
Selenium (Se) is incorporated into selenoproteins in the form of selenocysteine, which has biological functions associated with neural development. Unfortunately, the specific roles and mechanisms of selenoproteins at different stages of neuronal development are still unclear. Therefore, in this study, we successfully established a neuronal model derived from induced pluripotent stem cells (iPSC-iNeuron) and used Se nanoparticles (SeNPs@LNT) with high bioavailability to intervene at different stages of neural development in iPSC-iNeuron model.
View Article and Find Full Text PDFMutat Res Rev Mutat Res
December 2024
Department of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China. Electronic address:
Background: Breast screening recommendation based on individual risk assessment is emerging as an alternative approach to improve compliance and efficiency to detect breast cancer (BC) early. In Vietnam, prior knowledge to stratify risk based on genetic factors is currently lacking.
Methods: This study recruited 892 BC patients and 735 healthy Vietnamese women from 2016 to 2021.
Dose Response
November 2024
Department of Biomedical Science and Technology, Faculty of Health Sciences, Hokkaido University, Sapporo, Japan.
The linear no-threshold (LNT) model, which has been used for radiation protection purposes, was developed based on the assumption that exposure to even a small amount of radiation may cause cancer. However, although it is known in carcinogenesis that there is variation in radiation sensitivity among individuals, the LNT model does not adequately consider radiosensitive subgroups. In this paper, we represent susceptibility to contract cancer by radiation exposure by means of the threshold of a dose-response function, introduce an assumption that the thresholds are random to represent the variation of the radiosensitivity among individuals in a susceptible subgroup.
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