ArticleScientific reports2016
Multiscale approach predictions for biological outcomes in ion-beam cancer therapy.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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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.
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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.
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Who cites it
18 citing papers in PubMed, 67 citations in OpenAlex.
- Condensed Matter Systems Exposed to Radiation: Multiscale Theory, Simulations, and Experiment.Chemical reviews · 2024Review
- The Mayo Clinic Florida Microdosimetric Kinetic Model of Clonogenic Survival: Application to Various Repair-Competent Rodent and Human Cell Lines.International journal of molecular sciences · 2022Article
- Energy Deposition around Swift Carbon-Ion Tracks in Liquid Water.International journal of molecular sciences · 2022Article
- Update of the particle irradiation data ensemble (PIDE) for cell survival.Journal of radiation research · 2021Article
- 5-Nitro-2,4-Dichloropyrimidine as an Universal Model for Low-Energy Electron Processes Relevant for Radiosensitization.International journal of molecular sciences · 2020Article
- Ionizing Radiation and Complex DNA Damage: Quantifying the Radiobiological Damage Using Monte Carlo Simulations.Cancers · 2020Review
- Reaction of Electrons with DNA: Radiation Damage to Radiosensitization.International journal of molecular sciences · 2019Review
- Renormalization of radiobiological response functions by energy loss fluctuations and complexities in chromosome aberration induction: deactivation theory for proton therapy from cells to tumor control.The European physical journal. D, Atomic, molecular, and optical physics · 2019Article
- Mechanistic Modelling of Radiation Responses.Cancers · 2019Review
- A New Standard DNA Damage (SDD) Data Format.Radiation research · 2019Article
- Proton relative biological effectiveness (RBE): a multiscale problem.The British journal of radiology · 2019Review
- Modelling of Cellular Survival Following Radiation-Induced DNA Double-Strand Breaks.Scientific reports · 2018Article
- Activation of the DNA-repair mechanism through NBS1 and MRE11 diffusion.PLoS computational biology · 2018Article
- A model for relative biological effectiveness of therapeutic proton beams based on a global fit of cell survival data.Scientific reports · 2017Article
- Comprehensive track-structure based evaluation of DNA damage by light ions from radiotherapy-relevant energies down to stopping.Scientific reports · 2017Article
- Three dimensional approach to investigating biological effects along energetic ion beam pathways.Scientific reports · 2017Article
- Gold nanoparticles for cancer radiotherapy: a review.Cancer nanotechnology · 2016Review
- Optimization of treatment planning for hypoxic tumours and re-modulation of radiation intensity in heavy-ion radiotherapy.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation OncologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ion-beam therapy provides advances in cancer treatment, offering the possibility of excellent dose localization and thus maximising cell-killing within the tumour. The full potential of such therapy can only be realised if the fundamental mechanisms leading to lethal cell damage under ion irradiation are well understood. The key question is whether it is possible to quantitatively predict macroscopic biological effects caused by ion radiation on the basis of physical and chemical effects related to the ion-medium interactions on a nanometre scale. We demonstrate that the phenomenon-based MultiScale Approach to the assessment of radiation damage with ions gives a positive answer to this question. We apply this approach to numerous experiments where survival curves were obtained for different cell lines and conditions. Contrary to other, in essence empirical methods for evaluation of macroscopic effects of ionising radiation, the MultiScale Approach predicts the biodamage based on the physical effects related to ionisation of the medium, transport of secondary particles, chemical interactions, thermo-mechanical pathways of biodamage, and heuristic biological criteria for cell survival. We anticipate this method to give great impetus to the practical improvement of ion-beam cancer therapy and the development of more efficient treatment protocols.
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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.