Skip to main content
Log in

Suppression of Metastasis by Primary Tumor and Acceleration of Metastasis Following Primary Tumor Resection: A Natural Law?

  • Original Article
  • Published:
Bulletin of Mathematical Biology Aims and scope Submit manuscript

Abstract

We study metastatic cancer progression through an extremely general individual-patient mathematical model that is rooted in the contemporary understanding of the underlying biomedical processes yet is essentially free of specific biological assumptions of mechanistic nature. The model accounts for primary tumor growth and resection, shedding of metastases off the primary tumor and their selection, dormancy and growth in a given secondary site. However, functional parameters descriptive of these processes are assumed to be essentially arbitrary. In spite of such generality, the model allows for computing the distribution of site-specific sizes of detectable metastases in closed form. Under the assumption of exponential growth of metastases before and after primary tumor resection, we showed that, regardless of other model parameters and for every set of site-specific volumes of detected metastases, the model-based likelihood-maximizing scenario is always the same: complete suppression of metastatic growth before primary tumor resection followed by an abrupt growth acceleration after surgery. This scenario is commonly observed in clinical practice and is supported by a wealth of experimental and clinical studies conducted over the last 110 years. Furthermore, several biological mechanisms have been identified that could bring about suppression of metastasis by the primary tumor and accelerated vascularization and growth of metastases after primary tumor resection. To the best of our knowledge, the methodology for uncovering general biomedical principles developed in this work is new.

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

Similar content being viewed by others

References

  • Alexander P (1983) Dormant metastases: studies in experimental animals. J Pathol 141:379–383

    Article  Google Scholar 

  • Balkwill F, Mantovani A (2001) Inflammation and cancer: back to Virchow? Lancet 357:539–545

    Article  Google Scholar 

  • Bashford E, Murray J, Cramer W (1907) The natural and induced resistance of mice to the growth of cancer. Proc R Soc Lond 79:164–187

    Article  Google Scholar 

  • Demicheli R, Retsky MW, Swartzendruber DE, Bonadonna G (1997) Proposal for a new model of breast cancer metastatic development. Ann Oncol 8:1075–1080

    Article  Google Scholar 

  • Demicheli R, Retsky M, Hrushesky WJM, Baum M, Gukas ID (2008) The effects of surgery on tumor growth: a century of investigations. Ann Oncol 19:1821–1828

    Article  Google Scholar 

  • DeWys WD (1972) Studies correlating the growth rate of a tumor and its metastases and providing evidence for tumor-related systemic growth-retarding factors. Cancer Res 32:374–379

    Google Scholar 

  • Ehrlich P (1906) Experimentelle Karzinomstudien an Mäusen. Arch Koiglichen Inst Exp Ther Frankfurt am Main 1:65–103 (in German)

    Google Scholar 

  • Fakir H, Hlatky L, Li H, Sachs R (2013) Repopulation of interacting tumor cells during fractionated radiotherapy: stochastic modeling of the tumor control probability. Med Phys 40(12):121716

    Article  Google Scholar 

  • Fidler IA (1990) Critical factors in the biology of human cancer metastasis: twenty-eighth G. H. A. Clowes memorial award lecture. Cancer Res 50:6130–6138

    Google Scholar 

  • Fisher B (1999) From Halsted to prevention and beyond: advances in the management of breast cancer during the twentieth century. Eur J Cancer 35:1963–1973

    Article  Google Scholar 

  • Folkman J (1974) Tumor angiogenesis factor. Cancer Res 34:2109–2113

    Google Scholar 

  • Folkman J (2002) Role of angiogenesis in tumor growth and metastasis. Semin Oncol 29(6), Suppl 16:15–18

  • Forget P, Vandenhende J, Berliere M, Machiels JP, Nussbaum B, Legrand C, DeKock M (2010) Do intraoperative analgesics influence breast cancer recurrence after mastectomy? A retrospective analysis. Anesth Analg 110(6):1630–1635

    Article  Google Scholar 

  • Gorelik E (1983) Concomitant tumor immunity and resistance to a second tumor challenge. Adv Cancer Res 39:71–120

    Article  Google Scholar 

  • Hadfield G (1954) The dormant cancer cell. Br Med J 2:607–610

    Article  Google Scholar 

  • Hanin LG (2008) Distribution of the sizes of metastases: mathematical and biomedical considerations. In: Tan WY, Hanin LG (eds) Handbook of cancer models with applications. World Scientific, Singapore, pp 141–169

    Google Scholar 

  • Hanin LG (2013) Seeing the invisible: how mathematical models uncover tumor dormancy, reconstruct the natural history of cancer and assess the effects of treatment. In: Almog N, Enderling H, Hlatky L (eds) Systems biology of tumor dormancy. Advances in experimental medicine and biology, vol 734. Springer, New York, pp 261–282

    Chapter  Google Scholar 

  • Hanin L (2017) Do breast cancer patients benefit from surgery? Hypotheses, mathematical models and false beliefs. In: Retsky M, Demicheli R (eds) Perioperative inflammation as a triggering origin of metastasis development. Springer, New York, pp 161–182

    Chapter  Google Scholar 

  • Hanin LG, Yakovlev AY (1996) A nonidentifiability aspect of the two-stage model of carcinogenesis. Risk Anal 16:711–715

    Article  Google Scholar 

  • Hanin LG, Korosteleva O (2010) Does extirpation of the primary breast tumor give boost to growth of metastases? Evidence revealed by mathematical modeling. Math Biosci 223:133–141

    Article  MathSciNet  MATH  Google Scholar 

  • Hanin L, Zaider M (2011) Effects of surgery and chemotherapy on metastatic progression of prostate cancer: evidence from the natural history of the disease reconstructed through mathematical modeling. Cancers 3:3632–3660

    Article  Google Scholar 

  • Hanin LG, Bunimovich-Mendrazitsky S (2014) Reconstruction of the natural history of metastatic cancer and assessment of the effects of surgery: gompertzian growth of the primary tumor. Math Biosci 247:47–58

    Article  MathSciNet  MATH  Google Scholar 

  • Hanin L, Pavlova L (2016) A quantitative insight into metastatic relapse of breast cancer. J Theor Biol 394:172–181

    Article  MathSciNet  MATH  Google Scholar 

  • Hanin L, Rose J (2016) Uncovering the natural history of cancer from post mortem cross-sectional diameters of hepatic metastases. Math Med Biol 33(4):397–416

    Article  MathSciNet  Google Scholar 

  • Hanin LG, Rose J, Zaider M (2006) A stochastic model for the sizes of detectable metastases. J Theor Biol 243:407–417

    Article  MathSciNet  Google Scholar 

  • Hanin L, Seidel K, Stoevesandt D (2016) A “universal” model of metastatic cancer, its parametric forms and their identification: what can be learned from site-specific volumes of metastases. J Math Biol 72(6):1633–1662

    Article  MathSciNet  MATH  Google Scholar 

  • Hiller J, Schier R, Riedel B (2017) Perioperative biologic perturbation and cancer surgery: targeting the adrenergic-inflammatory response and microcirculatory dysregulation. In: Retsky M, Demicheli R (eds) Perioperative inflammation as a triggering origin of metastasis development. Springer, New York, pp 83–107

    Chapter  Google Scholar 

  • Holmgren K, O’Reilly MS, Folkman J (1995) Dormancy of micrometastases: balanced proliferation and apoptosis in the presence of angiogenesis suppression. Nat Med 1:149–153

    Article  Google Scholar 

  • Hölzel D, Eckel R, Emeny RT, Engel J (2010) Distant metastases do not metastasize. Cancer Metastasis Rev 29:737–750

    Article  Google Scholar 

  • Karr AF (1993) Probability. Springer, New York

    Book  MATH  Google Scholar 

  • Kendal WS (2006) Chance mechanisms affecting the burden of metastases. BMC Cancer 5:138

    Article  Google Scholar 

  • Kleffel S, Schatton T (2013) Tumor dormancy and cancer stem cells: two sides of the same coin? In: Almog N, Enderling H, Hlatky L (eds) Systems biology of tumor dormancy. Advances in experimental medicine and biology, vol 734. Springer, New York, pp 145–179

    Chapter  Google Scholar 

  • Maida V, Ennis M, Kuziemsky C, Corban J (2009) Wounds and survival in cancer patients. Eur J Cancer 45:3237–3244

    Article  Google Scholar 

  • Marches R, Scheuermann R, Uhr J (2006) Cancer dormancy-from mice to man. Cell Cycle 5(16):1772–1778

    Article  Google Scholar 

  • Prehn RT (1993) Two competing influences that may explain concomitant tumor resistance. Cancer Res 53:3266–3269

    Google Scholar 

  • Retsky M, Demicheli R (2017) Perioperative inflammation as a triggering origin of metastasis development. In: Retsky M, Demicheli R (eds) Perioperative inflammation as a triggering origin of metastasis development. Springer, New York, pp 19–54

    Chapter  Google Scholar 

  • Retsky M, Demicheli R, Hrushesky W, Baum M, Gukas I (2010) Surgery triggers outgrowth of latent distant disease in breast cancer: an inconvenient truth? Cancers 2:305–337

    Article  Google Scholar 

  • Retsky M, Demicheli R, Hrushesky WJM, Forget P, DeKock M, Gukas I, Rogers RA, Baum M, Sukhatme V, Vaidya JS (2013) Reduction of breast cancer relapses with perioperative non-steroidal anti-inflammatory drugs: new findings and a review. Curr Med Chem 20(33):4163–4176

    Article  Google Scholar 

  • Ross SM (1997) Introduction to probability models, 6th edn. Academic Press, San Diego

    MATH  Google Scholar 

  • Spano D, Heck C, De Antonelli P, Christofori G, Zollo M (2012) Molecular networks that regulate cancer metastasis. Semin Cancer Biol 22(3):234–49

    Article  Google Scholar 

  • Stigler SM (2007) The epic story of maximum likelihood. Stat Sci 22(4):598–620

    Article  MathSciNet  MATH  Google Scholar 

  • Sugarbaker EV, Ketcham AS, Cohen AM (1971) Studies of dormant tumor cells. Cancer 28:545–552

    Article  Google Scholar 

  • Sugarbaker E, Thornswaite J, Ketcham A (1977) Inhibitory effect of a primary tumor on metastasis. In: Day S, Myers W, Stansly P, Garattini S, Lewis M (eds) Progress in cancer research and therapy, vol 5. Raven Press, New York, pp 227–240

    Google Scholar 

  • Tyzzer EE (1913) Factors in the production and growth of tumor metastases. J Med Res 28:309–332

    Google Scholar 

  • Vatner RE, Cooper BT, Vanpouille-Box C, Demaria S, Formenti SC (2014) Combinations of immunotherapy and radiation in cancer therapy. Front Oncol 4:325

    Article  Google Scholar 

Download references

Acknowledgements

Incisive and constructive comments by the two anonymous reviewers have helped the authors to considerably improve the manuscript. The reviewers’ suggestions are greatly appreciated.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Leonid Hanin.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hanin, L., Rose, J. Suppression of Metastasis by Primary Tumor and Acceleration of Metastasis Following Primary Tumor Resection: A Natural Law?. Bull Math Biol 80, 519–539 (2018). https://doi.org/10.1007/s11538-017-0388-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11538-017-0388-9

Keywords

Navigation