Skip to main content

Mathematical Analysis on the Behaviour of Tumor Cells in the Presence of Monoclonal Antibodies Drug

  • Conference paper
  • First Online:
Modeling, Simulation and Optimization

Abstract

On the basis of the model proposed by de Pillis [5], we have performed a quantitative analysis of a mathematical model constructed with a new compartment of drug called monoclonal antibodies (mAbs) drug. Examining the existence and boundedness of solution of the model and stability of tumor-free equilibrium point, the dynamical action of the model is depicted in detail. Numerical calculations are carried out in Mathematica 8.0 to verify the analytical results so obtained. The results suggests that the model explain well about the role of mAbs drug in controlling large population of tumor cells, say \(10^{7}\), in finite time.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. de Pillis, L.G., Radunskaya, A.: A mathematical tumor model with immune resistance and drug therapy: an optimal control approach. Comput. Math. Methods Med. 3, 79–100 (2001). (Taylor & Francis)

    MATH  Google Scholar 

  2. de Pillis, L.G., Radunskaya, A.: The dynamics of an optimally controlled tumor model: a case study. Math. Comput. Modelling 37, 1221–1244 (2003). (Elsevier)

    Article  Google Scholar 

  3. de Pillis, L.G., Radunskaya, A.E., Wiseman, C.L.: A validated mathematical model of cell-mediated immune response to tumor growth. Cancer Res. AACR 65, 7950–7958 (2005)

    Article  Google Scholar 

  4. de Pillis, L., Gu, W., Radunskaya, A.: Mixed immunotherapy and chemotherapy of tumors: modelling, applications and biological interpretations. J. Theor. Biol. 238, 841–862 (2006). (Elsevier)

    Article  Google Scholar 

  5. de Pillis, L.G., Gu, W., Fister, K.R., Head, T., Maples, K., Murugan, A., Neal, T., Yoshida, K.: Chemotherapy for tumors: an analysis of the dynamics and a study of quadratic and linear optimal controls. Math. Biosci. 209, 292–315 (2007). (Elsevier)

    Article  MathSciNet  Google Scholar 

  6. Dhar, B., Gupta, P.K.: Numerical solution of tumor-immune model including small molecule drug by multi-step differential transform method. Int. J. Adv. Trends Comput. Sci. Eng. 8, 1802–1807 (2019) (World Academy of Research in Science and Engineering (WARSE))

    Google Scholar 

  7. Ghosh, D., Khajanchi, S., Mangiarotti, S., Denis, F., Dana, S.K., Letellier, C.: How tumor growth can be influenced by delayed interactions between cancer cells and the microenvironment? Biosystems 158, 17–30 (2017). (Elsevier)

    Article  Google Scholar 

  8. Gupta, P.K., Dhar, B.: Dynamical behaviour of fractional order tumor-immune model with targeted chemotherapy treatment. Int. J. Eng. Technol. 7, 6–9 (2018). (Science Publishing Corporation)

    Article  Google Scholar 

  9. Liu, P., Liu, X.: Dynamics of a tumor-immune model considering targeted chemotherapy. Chaos Solitons Fractals 98, 7–13 (2017). (Elsevier)

    Article  MathSciNet  Google Scholar 

  10. Sharma, S., Samanta, G.: Dynamical behaviour of a tumor-immune system with chemotherapy and optimal control. J. Nonlinear Dyn. (2013) (Hindawi)

    Google Scholar 

  11. Valle, P.A., Starkov, K.E., Coria, L.N.: Global stability and tumor clearance conditions for a cancer chemotherpy system. Commun. Nonlinear Sci. Numerical Simul. 40, 206–215 (2016). (Elsevier)

    Article  MathSciNet  Google Scholar 

  12. Yafia, R.: Hopf bifurcation in differential equations with delay for tumorimmune system competition model. J. Appl. Math. SIAM 67, 1693–1703 (2007)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Biplab Dhar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Dhar, B., Gupta, P.K. (2021). Mathematical Analysis on the Behaviour of Tumor Cells in the Presence of Monoclonal Antibodies Drug. In: Das, B., Patgiri, R., Bandyopadhyay, S., Balas, V.E. (eds) Modeling, Simulation and Optimization. Smart Innovation, Systems and Technologies, vol 206. Springer, Singapore. https://doi.org/10.1007/978-981-15-9829-6_24

Download citation

Publish with us

Policies and ethics