Literature DB >> 17897680

Second cancers after fractionated radiotherapy: stochastic population dynamics effects.

Rainer K Sachs1, Igor Shuryak, David Brenner, Hatim Fakir, Lynn Hlatky, Philip Hahnfeldt.   

Abstract

When ionizing radiation is used in cancer therapy it can induce second cancers in nearby organs. Mainly due to longer patient survival times, these second cancers have become of increasing concern. Estimating the risk of solid second cancers involves modeling: because of long latency times, available data is usually for older, obsolescent treatment regimens. Moreover, modeling second cancers gives unique insights into human carcinogenesis, since the therapy involves administering well-characterized doses of a well-studied carcinogen, followed by long-term monitoring. In addition to putative radiation initiation that produces pre-malignant cells, inactivation (i.e. cell killing), and subsequent cell repopulation by proliferation, can be important at the doses relevant to second cancer situations. A recent initiation/inactivation/proliferation (IIP) model characterized quantitatively the observed occurrence of second breast and lung cancers, using a deterministic cell population dynamics approach. To analyze if radiation-initiated pre-malignant clones become extinct before full repopulation can occur, we here give a stochastic version of this IIP model. Combining Monte-Carlo simulations with standard solutions for time-inhomogeneous birth-death equations, we show that repeated cycles of inactivation and repopulation, as occur during fractionated radiation therapy, can lead to distributions of pre-malignant cells per patient with variance>>mean, even when pre-malignant clones are Poisson-distributed. Thus fewer patients would be affected, but with a higher probability, than a deterministic model, tracking average pre-malignant cell numbers, would predict. Our results are applied to data on breast cancers after radiotherapy for Hodgkin disease. The stochastic IIP analysis, unlike the deterministic one, indicates: (a) initiated, pre-malignant cells can have a growth advantage during repopulation, not just during the longer tumor latency period that follows; (b) weekend treatment gaps during radiotherapy, apart from decreasing the probability of eradicating the primary cancer, substantially increase the risk of later second cancers.

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Year:  2007        PMID: 17897680      PMCID: PMC2169295          DOI: 10.1016/j.jtbi.2007.07.034

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  44 in total

1.  Radiation carcinogenesis modelling for risk of treatment-related second tumours following radiotherapy.

Authors:  K A Lindsay; E G Wheldon; C Deehan; T E Wheldon
Journal:  Br J Radiol       Date:  2001-06       Impact factor: 3.039

Review 2.  The use of the linear quadratic model in radiotherapy: a review.

Authors:  L Jones; P Hoban; P Metcalfe
Journal:  Australas Phys Eng Sci Med       Date:  2001-09       Impact factor: 1.430

3.  Signals for a promoting action of radiation in cancer incidence data.

Authors:  W F Heidenreich
Journal:  J Radiol Prot       Date:  2002-09       Impact factor: 1.394

4.  Biologically based risk estimation for radiation-induced CML. Inferences from BCR and ABL geometric distributions.

Authors:  T Radivoyevitch; S Kozubek; R K Sachs
Journal:  Radiat Environ Biophys       Date:  2001-03       Impact factor: 1.925

5.  Solid tumor risks after high doses of ionizing radiation.

Authors:  Rainer K Sachs; David J Brenner
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-06       Impact factor: 11.205

Review 6.  Radiation carcinogenesis.

Authors:  J B Little
Journal:  Carcinogenesis       Date:  2000-03       Impact factor: 4.944

7.  Comparison of the risks of cancer incidence and mortality following radiation therapy for benign and malignant disease with the cancer risks observed in the Japanese A-bomb survivors.

Authors:  M P Little
Journal:  Int J Radiat Biol       Date:  2001-04       Impact factor: 2.694

8.  The dose-response relationship for cancer incidence in a two-stage radiation carcinogenesis model incorporating cellular repopulation.

Authors:  E G Wheldon; K A Lindsay; T E Wheldon
Journal:  Int J Radiat Biol       Date:  2000-05       Impact factor: 2.694

9.  Roles of radiation dose, chemotherapy, and hormonal factors in breast cancer following Hodgkin's disease.

Authors:  Flora E van Leeuwen; Willem J Klokman; Marilyn Stovall; Ellen C Dahler; Mars B van't Veer; Evert M Noordijk; Mariad A Crommelin; Berthe M P Aleman; Annegien Broeks; Mary Gospodarowicz; Lois B Travis; Nicola S Russell
Journal:  J Natl Cancer Inst       Date:  2003-07-02       Impact factor: 13.506

10.  Equivalence of the linear-quadratic and two-lesion kinetic models.

Authors:  M Guerrero; Robert D Stewart; Jian Z Wang; X Allen Li
Journal:  Phys Med Biol       Date:  2002-09-07       Impact factor: 3.609

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  11 in total

1.  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

2.  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

3.  Malignant induction probability maps for radiotherapy using X-ray and proton beams.

Authors:  C Timlin; M Houston; B Jones
Journal:  Br J Radiol       Date:  2011-12       Impact factor: 3.039

4.  Modeling age-dependent radiation-induced second cancer risks and estimation of mutation rate: an evolutionary approach.

Authors:  Kamran Kaveh; Venkata S K Manem; Mohammad Kohandel; Siv Sivaloganathan
Journal:  Radiat Environ Biophys       Date:  2014-11-18       Impact factor: 1.925

5.  Repopulation of interacting tumor cells during fractionated radiotherapy: stochastic modeling of the tumor control probability.

Authors:  Hatim Fakir; Lynn Hlatky; Huamin Li; Rainer Sachs
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

6.  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

Review 7.  Minimizing second cancer risk following radiotherapy: current perspectives.

Authors:  John Ng; Igor Shuryak
Journal:  Cancer Manag Res       Date:  2014-12-17       Impact factor: 3.989

8.  Estimation of second cancer risk after radiotherapy for rectal cancer: comparison of 3D conformal radiotherapy and volumetric modulated arc therapy using different high dose fractionation schemes.

Authors:  Daniel R Zwahlen; Laura I Bischoff; Günther Gruber; Marcin Sumila; Uwe Schneider
Journal:  Radiat Oncol       Date:  2016-11-10       Impact factor: 3.481

Review 9.  A review of stereotactic body radiotherapy - is volumetric modulated arc therapy the answer?

Authors:  Daniel Sapkaroski; Catherine Osborne; Kellie A Knight
Journal:  J Med Radiat Sci       Date:  2015-05-25

10.  Dosimetric advantages of a "butterfly" technique for intensity-modulated radiation therapy for young female patients with mediastinal Hodgkin's lymphoma.

Authors:  Khinh Ranh Voong; Kelli McSpadden; Chelsea C Pinnix; Ferial Shihadeh; Valerie Reed; Mohammad R Salehpour; Isidora Arzu; He Wang; David Hodgson; John Garcia; Michalis Aristophanous; Bouthaina S Dabaja
Journal:  Radiat Oncol       Date:  2014-04-15       Impact factor: 3.481

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