Evidence map›Paper›PMID 34721555›Full record

ArticleAdvances in difference equations2021

Mathematical analysis of a cancer model with time-delay in tumor-immune interaction and stimulation processes.

Kaushik Dehingia, Hemanta Kumar Sarmah, Yamen Alharbi, Kamyar Hosseini

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Article in Advances in difference equations, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Kaushik DehingiaDepartment of Mathematics, Gauhati University, Guwahati, Assam India.
Hemanta Kumar SarmahDepartment of Mathematics, Gauhati University, Guwahati, Assam India.
Yamen AlharbiDepartment of Mathematics, King Abdul Aziz University, Jeddah, Saudi Arabia.
Kamyar HosseiniDepartment of Mathematics, Rasht Branch, Islamic Azad University, Rasht, Iran.ORCID 0000-0001-7137-1456

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we discuss a cancer model considering discrete time-delay in tumor-immune interaction and stimulation processes. This study aims to analyze and observe the dynamics of the model along with variation of vital parameters and the delay effect on anti-tumor immune responses. We obtain sufficient conditions for the existence of equilibrium points and their stability. Existence of Hopf bifurcation at co-axial equilibrium is investigated. The stability of bifurcating periodic solutions is discussed, and the time length for which the solutions preserve the stability is estimated. Furthermore, we have derived the conditions for the direction of bifurcating periodic solutions. Theoretically, it was observed that the system undergoes different states if we vary the system's parameters. Some numerical simulations are presented to verify the obtained mathematical results.

Indexed as

DelayHopf bifurcationNumerical simulationsStabilityTumor-immune model

Identifiers

PMID34721555
PMCPMC8546790

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