Literature DB >> 17179481

Radiation-induced leukemia at doses relevant to radiation therapy: modeling mechanisms and estimating risks.

Igor Shuryak1, Rainer K Sachs, Lynn Hlatky, Mark P Little, Philip Hahnfeldt, David J Brenner.   

Abstract

BACKGROUND: Because many cancer patients are diagnosed earlier and live longer than in the past, second cancers induced by radiation therapy have become a clinically significant issue. An earlier biologically based model that was designed to estimate risks of high-dose radiation-induced solid cancers included initiation of stem cells to a premalignant state, inactivation of stem cells at high radiation doses, and proliferation of stem cells during cellular repopulation after inactivation. This earlier model predicted the risks of solid tumors induced by radiation therapy but overestimated the corresponding leukemia risks.
METHODS: To extend the model to radiation-induced leukemias, we analyzed--in addition to cellular initiation, inactivation, and proliferation--a repopulation mechanism specific to the hematopoietic system: long-range migration through the blood stream of hematopoietic stem cells (HSCs) from distant locations. Parameters for the model were derived from HSC biologic data in the literature and from leukemia risks among atomic bomb survivors who were subjected to much lower radiation doses.
RESULTS: Proliferating HSCs that migrate from sites distant from the high-dose region include few preleukemic HSCs, thus decreasing the high-dose leukemia risk. The extended model for leukemia provides risk estimates that are consistent with epidemiologic data for leukemia risk associated with radiation therapy over a wide dose range. For example, when applied to an earlier case-control study of 110,000 women undergoing radiotherapy for uterine cancer, the model predicted an excess relative risk (ERR) of 1.9 for leukemia among women who received a large inhomogeneous fractionated external beam dose to the bone marrow (mean = 14.9 Gy), consistent with the measured ERR (2.0, 95% confidence interval [CI] = 0.2 to 6.4; from 3.6 cases expected and 11 cases observed). As a corresponding example for brachytherapy, the predicted ERR of 0.80 among women who received an inhomogeneous low-dose-rate dose to the bone marrow (mean = 2.5 Gy) was consistent with the measured ERR (0.62, 95% CI = -0.2 to 1.9).
CONCLUSIONS: An extended, biologically based model for leukemia that includes HSC initiation, inactivation, proliferation, and, uniquely for leukemia, long-range HSC migration predicts, with reasonable accuracy, risks for radiation-induced leukemia associated with exposure to therapeutic doses of radiation.

Entities:  

Mesh:

Year:  2006        PMID: 17179481     DOI: 10.1093/jnci/djj497

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  20 in total

1.  A new view of radiation-induced cancer.

Authors:  I Shuryak; R K Sachs; D J Brenner
Journal:  Radiat Prot Dosimetry       Date:  2010-11-27       Impact factor: 0.972

2.  The balance between initiation and promotion in radiation-induced murine carcinogenesis.

Authors:  Igor Shuryak; Robert L Ullrich; Rainer K Sachs; David J Brenner
Journal:  Radiat Res       Date:  2010-09       Impact factor: 2.841

3.  A new view of radiation-induced cancer: integrating short- and long-term processes. Part II: second cancer risk estimation.

Authors:  Igor Shuryak; Philip Hahnfeldt; Lynn Hlatky; Rainer K Sachs; David J Brenner
Journal:  Radiat Environ Biophys       Date:  2009-06-05       Impact factor: 1.925

4.  The effect of 6 and 15 MV on intensity-modulated radiation therapy prostate cancer treatment: plan evaluation, tumour control probability and normal tissue complication probability analysis, and the theoretical risk of secondary induced malignancies.

Authors:  M Hussein; S Aldridge; T Guerrero Urbano; A Nisbet
Journal:  Br J Radiol       Date:  2011-10-18       Impact factor: 3.039

5.  [Myelodysplastic syndromes].

Authors:  Aristoteles Giagounidis
Journal:  Internist (Berl)       Date:  2020-02       Impact factor: 0.743

6.  A reanalysis of curvature in the dose response for cancer and modifications by age at exposure following radiation therapy for benign disease.

Authors:  Mark P Little; Marilyn Stovall; Susan A Smith; Ruth A Kleinerman
Journal:  Int J Radiat Oncol Biol Phys       Date:  2012-06-09       Impact factor: 7.038

7.  Low- and middle-income countries can reduce risks of subsequent neoplasms by referring pediatric craniospinal cases to centralized proton treatment centers.

Authors:  Phillip J Taddei; Nabil Khater; Bassem Youssef; Rebecca M Howell; Wassim Jalbout; Rui Zhang; Fady B Geara; Annelise Giebeler; Anita Mahajan; Dragan Mirkovic; Wayne D Newhauser
Journal:  Biomed Phys Eng Express       Date:  2018-02-07

8.  Second cancers after fractionated radiotherapy: stochastic population dynamics effects.

Authors:  Rainer K Sachs; Igor Shuryak; David Brenner; Hatim Fakir; Lynn Hlatky; Philip Hahnfeldt
Journal:  J Theor Biol       Date:  2007-08-12       Impact factor: 2.691

9.  A new view of radiation-induced cancer: integrating short- and long-term processes. Part I: approach.

Authors:  Igor Shuryak; Philip Hahnfeldt; Lynn Hlatky; Rainer K Sachs; David J Brenner
Journal:  Radiat Environ Biophys       Date:  2009-06-18       Impact factor: 1.925

10.  Cross-scale sensitivity analysis of a non-small cell lung cancer model: linking molecular signaling properties to cellular behavior.

Authors:  Zhihui Wang; Christina M Birch; Thomas S Deisboeck
Journal:  Biosystems       Date:  2008-03-21       Impact factor: 1.973

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.