Evidence map›Paper›PMID 19330114›Full record

ArticleNonlinearity in biology, toxicology, medicine2003

Mechanistic basis for nonlinear dose-response relationships for low-dose radiation-induced stochastic effects.

Bobby R Scott, Dale M Walker, Yohannes Tesfaigzi, Helmut Schöllnberger, Vernon Walker

Open access · bronzeAbstract read
In one paragraph

Article in Nonlinearity in biology, toxicology, medicine, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.4field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 52 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Emerging targets for radioprotection and radiosensitization in radiotherapy.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Review
  8. Article
  9. The cellular and molecular carcinogenic effects of radon exposure: a review.International journal of molecular sciences · 2013
    Review
  10. Low-dose-radiation stimulated natural chemical and biological protection against lung cancer.Dose-response : a publication of International Hormesis Society · 2008
    Article
  11. Article
  12. Protective bystander effects simulated with the state-vector model.Dose-response : a publication of International Hormesis Society · 2007
    Article
  13. Article
  14. Radiation-induced neoplastic transformation in vitro, hormesis and risk assessment.Dose-response : a publication of International Hormesis Society · 2006
    Article
  15. Suppression of neoplastic transformation in vitro by low doses of low LET radiation.Dose-response : a publication of International Hormesis Society · 2006
    Article
  16. Low-LET-induced radioprotective mechanisms within a stochastic two-stage cancer model.Dose-response : a publication of International Hormesis Society · 2006
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Bobby R ScottLovelace Respiratory Research Institute, 2425 Ridgecrest Drive SE, Albuquerque, NM 87108.
Dale M Walker
Yohannes Tesfaigzi
Helmut Schöllnberger
Vernon Walker
Lovelace Respiratory Research Institute · USUniversity of Salzburg · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The linear nonthreshold (LNT) model plays a central role in low-dose radiation risk assessment for humans. With the LNT model, any radiation exposure is assumed to increase one's risk of cancer. Based on the LNT model, others have predicted tens of thousands of deaths related to environmental exposure to radioactive material from nuclear accidents (e.g., Chernobyl) and fallout from nuclear weapons testing. Here, we introduce a mechanism-based model for low-dose, radiation-induced, stochastic effects (genomic instability, apoptosis, mutations, neoplastic transformation) that leads to a LNT relationship between the risk for neoplastic transformation and dose only in special cases. It is shown that nonlinear dose-response relationships for risk of stochastic effects (problematic nonlethal mutations, neoplastic transformation) should be expected based on known biological mechanisms. Further, for low-dose, low-dose rate, low-LET radiation, large thresholds may exist for cancer induction. We summarize previously published data demonstrating large thresholds for cancer induction. We also provide evidence for low-dose-radiation-induced, protection (assumed via apoptosis) from neoplastic transformation. We speculate based on work of others (Chung 2002) that such protection may also be induced to operate on existing cancer cells and may be amplified by apoptosis-inducing agents such as dietary isothiocyanates.

Indexed as

low dosemodelradiationrisk

Identifiers

PMID19330114
PMCPMC2651611
OpenAlexW2034149542

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.