Literature DB >> 18666813

Inter- and intramouse heterogeneity of radiation response for a growing paired organ.

Sergey V Kozin1, Andrzej Niemierko, Peigen Huang, Jose Silva, Karen P Doppke, Herman D Suit.   

Abstract

An intensive search for predictive markers of individual radiation response of apparently normal tissues in cancer patients is in progress at the genetic and epigenetic levels. However, the relative impact of variability at these levels is not clear. Experimental results obtained in inbred rodents, which have significantly reduced genetic heterogeneity relative to a population of human patients, may help to clarify this issue. We investigated a paired-organ mouse system in a strain of inbred mice to evaluate the intermouse variability of normal tissue radiation response, singled out from measurement errors and stochastic effects. The legs of 5-day-old C3H mice were homogeneously gamma-irradiated with a range of single doses. The lengths of the right and left tibiae were measured in 30 kVp X-ray images taken at the time of irradiation and at 84 days postirradiation. The dose-effect curves were smooth and well defined, with bone growth retardation evident at approximately 14 Gy and higher, and were marginally gender-dependent. The intramouse (left compared to right) variability of the tibia length on day 89, which characterized stochastic effects, was not distinguishable from the measurement error for doses less than 16-18 Gy and slightly exceeded measurement errors only at the largest doses of 20-22 Gy. The corresponding intermouse variability was greater than the measurement error and stochastic effects at all doses used. Interestingly, the total variability, judged by the gamma(50) values of approximately 7 we obtained, was similar to that reported for severe late reactions in human normal tissue. If the variations of response determined by epigenetic events in human patients free of known factors associated with altered radiation sensitivity are comparable to those observed in this mouse model, our results imply a relatively low power of genetic approaches alone to predict individual side effects in radiotherapy.

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Year:  2008        PMID: 18666813     DOI: 10.1667/RR1262.1

Source DB:  PubMed          Journal:  Radiat Res        ISSN: 0033-7587            Impact factor:   2.841


  5 in total

1.  Predicting toxicity from radiation therapy--it's genetic, right?

Authors:  Chris R Kelsey; Barry S Rosenstein; Lawrence B Marks
Journal:  Cancer       Date:  2011-12-05       Impact factor: 6.860

Review 2.  Profiles of Radioresistance Mechanisms in Prostate Cancer.

Authors:  Luksana Chaiswing; Heidi L Weiss; Rani D Jayswal; Daret K St Clair; Natasha Kyprianou
Journal:  Crit Rev Oncog       Date:  2018

3.  Modeling Cellular Response in Large-Scale Radiogenomic Databases to Advance Precision Radiotherapy.

Authors:  Venkata Sk Manem; Meghan Lambie; Ian Smith; Petr Smirnov; Victor Kofia; Mark Freeman; Marianne Koritzinsky; Mohamed E Abazeed; Benjamin Haibe-Kains; Scott V Bratman
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Review 4.  Radiation oncology in the era of precision medicine.

Authors:  Michael Baumann; Mechthild Krause; Jens Overgaard; Jürgen Debus; Søren M Bentzen; Juliane Daartz; Christian Richter; Daniel Zips; Thomas Bortfeld
Journal:  Nat Rev Cancer       Date:  2016-03-18       Impact factor: 60.716

Review 5.  Liquid biopsy in NSCLC: a new challenge in radiation therapy.

Authors:  Annarita Perillo; Mohamed Vincenzo Agbaje Olufemi; Jacopo De Robbio; Rossella Margherita Mancuso; Anna Roscigno; Maddalena Tirozzi; Ida Rosalia Scognamiglio
Journal:  Explor Target Antitumor Ther       Date:  2021-04-30
  5 in total

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