Skip to main content
Log in

Survival of radiation-damaged cells via mechanism of repair by pool molecules: the Lambert function as the exact analytical solution of coupled kinetic equations

  • Original Paper
  • Published:
Journal of Mathematical Chemistry Aims and scope Submit manuscript

Abstract

Repair of radiation damaged cells can be carried out through their interactions with intracellular substances that can supply the needed energy for repair. These substances may be viewed as forming a pool of repair molecules that through chemical reactions with lesions can lead to cell recovery from the initial radiation insult by deposition of dose \(D\). Presently, time evolution of mean concentrations of interacting substances is obtained by solving the corresponding rate equations given by a coupled system of second-order non-linear differential equations that are imposed by the mass action law. For cell surviving fractions after irradiation, the most important quantity is the time-dependent concentration of lethal lesions. Our main working hypothesis is that pool substances are capable of repairing the inflicted injury to any cell molecules, including deoxyribonucleic acid which is generally viewed as the most critical target of radiation. The previous solution of these rate equations is only formal as it is expressed by yet another equation of an implicit, transcendental form. In the earlier applications, this formal solution has only been tackled by numerical means that, however, have no connection with any of the myriad of the usual explicit forms of cell surviving fractions. This drawback effectively discouraged researchers from further explorations of the otherwise attractive pool methodology. Such a circumstance is unfortunate in light of a clear and advantageous radiobiological interpretation of the parameters of this theoretical formalism of chemical kinetics.The present study is aimed at rescuing the pool methodology by solving the underlying transcendental equation for lethal lesions uniquely, exactly and explicitly in terms of the principal value Lambert \(W_0\) function. This is a single-valued and dose-dependent function, which can be readily and accurately computed either from the available fast numerical algorithms or by employing the existing simple closed expressions with a quotient of elementary, logarithmic functions. Another distinct advantage of this analytical result is the known behaviors of \(W_0\) at small and large doses. This permits an easy and immediate identification of the final \(D_0\) (or \(D_{37}\)) dose and the extrapolation number \(n\). Such a circumstance offers new possibilities within the presently proposed “Pool Repair Lambert” (PRL) model for analysis of problems encountered in assessing cell survival after exposure to various modalities of radiation, including different schedules (acute, fractionated) for the same radiation quality. Importantly, the PRL model is universally applicable to all doses with a smooth passage from low through intermediate to high doses. As to applications in radiotherapy, this feature is particularly important for treatment schedules with high-doses per fraction as in stereotactic radiosurgery and stereotactic body radiotherapy.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Notes

  1. Radiation itself is an energy supplier which, as such, could invoke some metabolic changes in the cell, including repair of radiation-inflicted damage. This pathway represents radiation-induced recovery which was extensively investigated in Refs. [1822].

References

  1. K.H. Chadwick, H.P. Leenhouts, A molecular theory of cell survival. Phys. Med. Biol. 18, 78–87 (1973)

    Article  CAS  Google Scholar 

  2. A.M. Kellerer, H.H. Rossi, The theory of dual action. Curr. Top. Radiat. Res. 8, 85–158 (1974)

    Google Scholar 

  3. A.M. Kellerer, H.H. Rossi, A generalized formulation of dual radiation action. Radiat. Res. 75, 471–488 (1978)

    Article  Google Scholar 

  4. J.F. Fowler, Practical time-dose evaluation or how to stop worrying and learn to love linear quadratics, in Technical Basis of Radiation Therapy: Medical Radiology, Radiation Oncology, 5th edn., ed. by S.H. Levitt, J.A. Purdy, C.A. Perez, P. Poortmans (Springer, Berlin, 2012), pp. 3–50

    Google Scholar 

  5. P.M. Correy, A. Cole, Double strand rejoining in mammalian DNA. Nat. New Biol. 245, 100–101 (1973)

    Article  Google Scholar 

  6. M. Frankenberg-Schwager, D. Frankenberg, R. Harbich, Repair of DNA double-strand breaks as a determinant of RBE of alpha particles. Br. J. Cancer 49(Suppl. VI), 169–173 (1984)

    Google Scholar 

  7. N. Cheong, R. Okayasu, S. Shjah, T. Ganguly, P. Mamman, G. Iliakis, In vitro rejoining of double-strand breaks in cellular DNA by factors present in extract of HeLa cells. Int. J. Radiat. Biol. 69, 665–677 (1996)

    Article  CAS  Google Scholar 

  8. A. Asaithamby, N. Ueamatsu, A. Chaterjee, M.D. Story, S. Burma, D.J. Chen, Repair of HZE-particle-induced DNA double strand breaks in normal human fibroblasts. Radiat. Res. 169, 437–446 (2008)

    Article  CAS  Google Scholar 

  9. J.N. Kavanagh, K.M. Redmond, G. Schettino, K.M. Prise, DSB repair: a radiation perspective. Antioxid. Redox Signal. 18, 2458–2472 (2013)

    Article  CAS  Google Scholar 

  10. E.L. Powers, Consideration of survival curves and target theory. Phys. Med. Biol. 7, 3–28 (1962)

    Article  CAS  Google Scholar 

  11. J.S. Orr, C.S. Hope, S.E. Wakerley, A metabolic theory of cell survival curves. Phys. Med. Biol. 11, 103–108 (1966)

    Article  CAS  Google Scholar 

  12. J. Laurie, J.S. Orr, C.J. Foster, Repair processes and cell survival. Br. J. Radiol. 45, 362–368 (1972)

    Article  CAS  Google Scholar 

  13. J.F. Malone, The Kinetics of Recovery of Cellular Proliferation After Irradiation. PhD Thesis (unpublished), The National University of Ireland, Dublin (1972)

  14. J.S. Orr, J. Laurie, J. Kirk, J.F. Malone, The “pool” and the initial slope of survival curves for high- and low-LET radiation, in Cellular Survival after Low Doses of Irradiation (The 6th L.H. Gray Conference, Bedford College, London, 16–21 September 1974), ed. by T. Alper (Wiley, The Institute of Physics Publishing, Bristol, 1975), pp. 86–87

  15. J.F. Malone, I.A. Kinsella, J.H. Hendry, Prediction of the initial shape of survival curves when direct measurement is not possible, in Cellular Survival After Low Doses of Irradiation (The 6th L.H. Gray Conference, Bedford College, London, 16–21 September 1974), ed. by T. Alper (Wiley, The Institute of Physics Publishing, Bristol, 1975), pp. 313–318

  16. B. Jacobson, Evidence of recovery from X-ray damage in Chlamydominas. Radiat. Res. 1, 394–406 (1957)

    Article  Google Scholar 

  17. M.M. Elkind, H. Sutton, Radiation response to mammalian cell growth in culture: I. Repair of X-ray damage in surviving Chinese Hamster cells. Radiat. Res. 13, 556–593 (1960)

    Article  CAS  Google Scholar 

  18. J. Calkins, An unusual form of response in X-irradiated protozoa and a hypothesis as to its origin. Int. J. Radiat. Biol. 12, 297–301 (1967)

    Article  CAS  Google Scholar 

  19. J. Calkins, Similarities in the radiation response of Escherichia coli and Tetrahymena pyriformis. Int. J. Radiat. Biol. 13, 283–288 (1967)

    Article  CAS  Google Scholar 

  20. J. Calkins, W. Todd, Evidence for a triggered or activated repair system in Saccharomyces cerevisiae. Int. J. Radiat. Biol. 14, 487–491 (1968)

    Article  CAS  Google Scholar 

  21. J. Calkins, The variation of radiation sensitivity of bacteria fed Tetrahymena pyriformis during the growth cycle and factors related to its origin. Photochem. Photobiol. 8, 115–129 (1968)

    Article  CAS  Google Scholar 

  22. J. Calkins, G. Griggs, Photoreactivation of UV reactivation in protozoa. Photochem. Photobiol. 10, 445–449 (1969)

    Article  CAS  Google Scholar 

  23. K.G. Zimmer, Studies on Quantitative Radiation Biology (Oliver and Boyd, London, 1961)

    Google Scholar 

  24. K.G. Zimmer, From target theory to molecular radiobiology. Phys. Med. Biol. 14, 545–553 (1969)

    Article  CAS  Google Scholar 

  25. D.E. Lea, A theory of action of radiations on biological materials: I. The time-intensity factor. Br. J. Radiol. 11, 489–497 (1938)

    Article  Google Scholar 

  26. D.E. Lea, A theory of action of radiations on biological materials: II. Delay in cellular division. Br. J. Radiol. 11, 554–562 (1938)

    Article  Google Scholar 

  27. D.E. Lea, D.G. Catcheside, The mechanism of induction by radiation by chromosome aberrations in transcedentia. J. Genet. 44, 216–245 (1942)

    Article  Google Scholar 

  28. D.E. Lea, Actions of Radiations on Living Cells (Cambridge University Press, London, 1947)

    Google Scholar 

  29. H.D. Thames, K.K. Ang, F.A. Stewart, E. van der Schueren, Does incomplete repair explain the apparent failure of the basic LQ model to predict spinal cord and kidney responses to low doses per fraction? Int. J. Radiat. Biol. 54, 13–19 (1988)

    Article  CAS  Google Scholar 

  30. D.J. Brenner, L.R. Hlatky, P.J. Hahnfeldt, Y. Huang, R.K. Sachs, The linear-quadratic model and most other common radiobiological models result in similar predictions of time-dose relationships. Rad. Res. 150, 83–91 (1998)

    Article  CAS  Google Scholar 

  31. R. Dale, Use of the linear-quadratic radiobiological model for quantifying kidney response in targeted radiotherapy. Cancer Biother. Radiopharmac. 19, 363–370 (2004)

    Article  Google Scholar 

  32. J.H. Lambert, Observationes variae in mathesin puram. Acta Helvetica, physico-mathematico-anatomico-botanico-medica. Basel 3, 126–168 (1758)

    Google Scholar 

  33. R.M. Corless, G.H. Gonnet, D.E.G. Hare, D.J. Jeffrey, D.E. Knuth, On the Lambert \(W\) function. Adv. Comput. Math. 5, 329–359 (1996)

    Article  Google Scholar 

  34. B.G. Douglas, J.F. Fowler, J. Denekamp, S.R. Harris, S.E. Ayers, S. Fairman, S.A. Hill, P.W. Sheldon, F.A. Stewart, The effect of multiple small fractions of x-rays on skin reactions  in the mouse, in Cellular Survival After Low Doses of Irradiation (The 6th L.H. Gray Conference, Bedford College, London, 16–21 September 1974), ed. by T. Alper (Wiley, The Institute of Physics Publishing, Bristol, 1975), pp. 351–361

  35. B.G. Douglas, J.F. Fowler, The effect of multiple small doses of X rays on skin reactions in the mouse and basic interpretation. Radiat. Res. 66, 401–426 (1976)

    Article  CAS  Google Scholar 

  36. F.N. Fritsch, R.E. Shafer, W.P. Crowley, Solution of transcendental equation \(w\text{ e }^w=x,\) Algorithm 443: function \(WEW(x)\). Commun. Assoc. Comp. Machin. 16, 123–124 (1973)

    Google Scholar 

  37. D.A. Barry, P.J. Culligan-Hensley, S.J. Barry, Real values of the W-function. Assoc. Comp. Machin. Trans. Math. Softw. 21, 161–171 (1995)

    Article  Google Scholar 

  38. D.A. Barry, S.J. Barry, P.J. Culligan-Hensley, Algorithm 743: WAPR: a FORTRAN routine for calculating real values of the W-function. Assoc. Comp. Machin. Trans. Math. Softw. 21, 172–181 (1995); [Web reference for free downloading both fortran (wapr.f) and matlab (wapr.m) programs: http://www.netlib.org/toms/743]

  39. D. Veberič, Having Fun with Lambert \(W(x)\) Function, arXiv:1003.1628v1 [cs.MS], 15 pp, Last updated: 8 March 2010

  40. S. Winitzki, Uniform approximations for transcendental functions, in  Lecture Notes in Computer Science, Nr. 2667, ed. by V. Kumar, M.L. Gavrilova, C.J.K. Tan, P. L’Ecuyer (Springer, Berlin, 2003), pp. 780–789

  41. Dž. Belkić, Theory and practice with the transcendental Lambert \(W\) function in interdisciplinary research: introduction of a highly accurate single analytical formula. J. Math. Chem. (submitted) (2014)

  42. Dž. Belkić, Repair of irradiated cells by Michaelis–Menten enzyme catalysis: the Lambert Function for integrated rate equations in description of surviving fractions. J. Math. Chem. (2013). doi:10.1007/s10910-014-0308-2

  43. Dž Belkić, Parametric analysis of time signals and spectra from perspective of quantum physics and chemistry. Adv. Quantum Chem. 6, 145–260 (2011)

    Article  CAS  Google Scholar 

  44. Dž. Belkić, K. Belkić, Padé–Froissart exact signal-noise separation in nuclear magnetic resonance spectroscopy. J. Phys. B: At. Mol. Opt. Phys. 44, 125003.1–125003.18 (2011)

  45. Dž Belkić, K. Belkić, High-resolution signal processing in magnetic resonance spectroscopy for early cancer diagnostics. Adv. Quantum Chem. 62, 243–347 (2011)

    Article  CAS  Google Scholar 

  46. Dž Belkić, K. Belkić, Mechanistic repair-based Padé linear-quadratic model for cell response to radiation damage. Adv. Quantum Chem. 65, 407–449 (2013)

    Article  Google Scholar 

  47. Dž Belkić, K. Belkić, Mechanistic description of survival of irradiated cells: repair kinetics in Padé linear-quadratic or differential Michaelis–Menten model. J. Math. Chem. 51, 2572–2607 (2013)

    Article  CAS  Google Scholar 

  48. B. Andisheh, M. Edgren, Dž Belkić, P. Mavroidis, A. Brahme, B.K. Lind, A comparative analysis of radiobiological models for cell surviving fractions at high doses. Techn. Cancer Res. Treatm. 12, 183–192 (2013)

    CAS  Google Scholar 

  49. Dž Belkić, Quantum-Mechanical Signal Processing and Spectral Analysis (Taylor & Francis, London, 2005)

    Google Scholar 

  50. L. Michaelis, M.L. Menten, Die kinetik der invertinwirkung. Biochem. Z. 49, 333–369 (1913); [English translation by R.S. Goody and K.A. Johnson, The kinetics of invertase action. Biochem. 50, 8264–8269 (2011); Supporting Information: The full text (34 pp) of the German to English translation of the original paper by Michaelis and Menten (1913, op. cit.) available at: http://pubs.acs.org]

    Google Scholar 

  51. G.E. Briggs, J.B.S. Haldane, A note on the kinetics of enzyme action. Biochem. J. 19, 338–339 (1925)

    CAS  Google Scholar 

  52. D.D. van Slyke, G.E. Cullen, The mode of action of urease and of enzymes in general. J. Biol. Chem. 19, 141–180 (1914)

    Google Scholar 

  53. O. Hug, A.M. Kellerer, Zur interpretation der dosiswirkungsbeziehungen in der strahlenbiologien. Biophysik 1, 20–32 (1963)

    Article  Google Scholar 

  54. A.M. Kellerer, O. Hug, Theory of dose-effect relations. Encycloped. Med. Radiol. 3, 1–42 (1972)

    Google Scholar 

  55. R.H. Haynes, The interpretation of microbial inactivation and recovery phenomena. Radiat. Res. Suppl. 6, 1–29 (1969)

    Article  Google Scholar 

  56. K.E. Ekstrand, The Hug–Kellerer equation as the universal cell surviving curve. Phys. Med. Biol. 55, N267–N273 (2010)

    Article  Google Scholar 

  57. B. Gompertz, On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies. Phil. Trans. B 1, 513–583 (1825)

    Article  Google Scholar 

  58. M. Scholz, G. Kraft, A parameter-free track structure model for heavy action cross section, in Biophysical Modelling of Radiation Effects, ed. by K.H. Chadwick, G. Moschini, M.N. Varma (Adam Hilger, Bristol, 1992), pp. 185–192

    Google Scholar 

  59. H. Paganetti, M. Goitein, Biophysical modelling of proton radiation effects based on amorphous track models. Int. J. Radiat. Biol. 77, 911–928 (2001)

    Article  CAS  Google Scholar 

  60. M. Astrahan, Some implications of linear-quadratic-linear radiation dose-response with regard to hypofractionation. Med. Phys. 35, 4161–4172 (2008)

    Article  Google Scholar 

  61. C. Park, L. Papiez, S. Zhang, M. Story, R.D. Timmerman, Universal survival curve and single fraction equivalent dose: useful tools in understanding potency of ablative radiotherapy. Int. J. Radiat. Oncol. Biol. Phys. 70, 847–852 (2008)

    Article  Google Scholar 

  62. M. Guerrero, X.A. Li, Extending the linear-quadratic model for large fraction doses pertinent to stereotactic radiotherapy. Phys. Med. Biol. 49, 4825–4835 (2004)

    Article  CAS  Google Scholar 

  63. L. Garcia, D. Wilkins, G. Raaphorst, \(\alpha /\beta \) ratio, a dose range dependence. Int. J. Radiat. Oncol. Biol. Phys. 67, 587–593 (2007)

    Article  Google Scholar 

  64. C. Zhang, N.A. Mayr, S.S. Lo, L. Lu, K. Li, J.Z. Wang, The \(\alpha /\beta \) ratio: dose-range dependent or model limitation? Int. J. Radiat. Oncol. Biol. Phys. 75, S610–S611 (2007)

    Article  Google Scholar 

  65. J.P. Kirkpatrick, J.J. Meyer, L.B. Marks, The linear-quadratic model is inappropriate to model high-dose per fraction effects in radiosurgery. Semin. Radiat. Oncol. 18, 240–243 (2008)

    Article  Google Scholar 

  66. J.P. Kirkpatrick, D.J. Brenner, C.G. Orton, The linear-quadratic model is inappropriate to model high-dose per fraction effects in radiosurgery. Semin. Radiat. Oncol. 18, 3381–3384 (2009)

    Google Scholar 

  67. M.C. Joiner, S.M. Bentzen, Fractionation: the linear-quadratic approach, in Basic Clinical Radiobiology, 4th edn., ed. by M. Joiner, A. van der Kogel (Hodder Arnold, London, 2009), pp. 102–119

    Chapter  Google Scholar 

  68. S.M. Bentzen, M.C. Joiner, The linear-quadratic approach in clinical practice, in Basic Clinical Radiobiology, 4th edn., ed. by M. Joiner, A. van der Kogel (Hodder Arnold, London, 2009), pp. 120–134

    Chapter  Google Scholar 

  69. L.G. Hanin, M. Zaider, Cell-survival probability at large doses: an alternative to the linear-quadratic model. Phys. Med. Biol. 55, 4687–4702 (2010)

    Article  CAS  Google Scholar 

  70. J.Z. Wang, N.A. Mayr, W.T.C. Yuh, A generalized linear-quadratic formula for high-dose rate brachytherapy, and radiosurgery. Int. J. Radiat. Oncol. Biol. Phys. 69, S619–S620 (2007)

    Article  Google Scholar 

  71. J.Z. Wang, Z. Huang, S.S. Lo, W.T.C. Yuh, N.A. Mayr, A generalized linear-quadratic model for radiosurgery, stereotactic body radiation therapy and high-dose rate brachytherapy. Sci. Trans. Med. 2(39), 39ra48 (2010)

  72. M.M. Elkind, H. Sutton, X-ray damage and recovery in mammalian cells in culture. Nature, 184, 1293–1295 (1959)

    Google Scholar 

  73. P.E. Bryant, LET as a determinant of oxygen enhancement ratio and slope of survival curve of Chlamydomonas. Int. J. Radiat. Biol. 23, 217–226 (1973)

    Article  CAS  Google Scholar 

  74. E.W. Emery, The associated inactivation model, in Celullar Survival after Low Doses of Irradiation (The 6th L.H. Gray Conference, Bedford College, London, 16–21 September 1974), ed. by T. Alper (Wiley, The Institute of Physics Publishing, Bristol, 1975), pp. 64–68

  75. L. Leksell, The stereotactic method and radiosurgery of the brain. Acta Chirurg. Scand. 102, 316–319 (1951)

    CAS  Google Scholar 

  76. I. Lax, H. Blomgren, I. Näslund, R. Svanström, Stereotactic radiotherapy of extracranial targets. Z. Med. Phys. 4, 112–113 (1994)

    Google Scholar 

  77. R. Timmerman, An overview of hypofractionation. Semin. Rad. Oncol. 18, 215–222 (2008)

    Article  Google Scholar 

Download references

Acknowledgments

This work is supported by research grants from Radiumhemmet at the Karolinska University Hospital and the City Council of Stockholm (FoUU) to which the author is grateful.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dževad Belkić.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Belkić, D. Survival of radiation-damaged cells via mechanism of repair by pool molecules: the Lambert function as the exact analytical solution of coupled kinetic equations. J Math Chem 52, 1201–1252 (2014). https://doi.org/10.1007/s10910-014-0307-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10910-014-0307-3

Keywords

Navigation