ArticleRadiation research2007
Detrimental and protective bystander effects: a model approach.
Article in Radiation research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed, 35 citations in OpenAlex.
- REVIEW OF QUANTITATIVE MECHANISTIC MODELS OF RADIATION-INDUCED NON-TARGETED EFFECTS (NTE).Radiation protection dosimetry · 2020Review
- Modeling cell response to low doses of photon irradiation: Part 2--application to radiation-induced chromosomal aberrations in human carcinoma cells.Radiation and environmental biophysics · 2016Article
- Dynamics of cellular responses to radiation.PLoS computational biology · 2014Article
- The cellular and molecular carcinogenic effects of radon exposure: a review.International journal of molecular sciences · 2013Review
- Regulatory-Science: Biphasic Cancer Models or the LNT-Not Just a Matter of Biology!Dose-response : a publication of International Hormesis Society · 2012Article
- A review: Development of a microdose model for analysis of adaptive response and bystander dose response behavior.Dose-response : a publication of International Hormesis Society · 2008Article
- Systems biological and mechanistic modelling of radiation-induced cancer.Radiation and environmental biophysics · 2008Review
- "Protective bystander effects simulated with the state-vector model"--HeLa x skin exposure to Cs not protective bystander response but mammogram and diagnostic X-rays are.Dose-response : a publication of International Hormesis Society · 2008Article
- Protective bystander effects simulated with the state-vector model.Dose-response : a publication of International Hormesis Society · 2007Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors at 4 institutions in 3 countries.
Funding
Abstract
This work integrates two important cellular responses to low doses, detrimental bystander effects and apoptosis-mediated protective bystander effects, into a multistage model for chromosome aberrations and in vitro neoplastic transformation: the State-Vector Model. The new models were tested on representative data sets that show supralinear or U-shaped dose responses. The original model without the new low-dose features was also tested for consistency with LNT-shaped dose responses. Reductions of in vitro neoplastic transformation frequencies below the spontaneous level have been reported after exposure of cells to low doses of low-LET radiation. In the current study, this protective effect is explained with bystander-induced apoptosis. An important data set that shows a low-dose detrimental bystander effect for chromosome aberrations was successfully fitted by additional terms within the cell initiation stage. It was found that this approach is equivalent to bystander-induced clonal expansion of initiated cells. This study is an important step toward a comprehensive model that contains all essential biological mechanisms that can influence dose-response curves at low doses.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.