Exploration of Immunology

From: Exploring the impact of immune response on tumor heterogeneity through mathematical modeling

Table 1. Model parameters, descriptions, and values are chosen for simulations

Notation	Value	Description
C	7 × 10^–1	Cancer cells
I	2.1 × 10^–2	Immune system
E	3.8 × 10^–1	Elimination of cancer cells
IC	5.7 × 10^–2	Complex formed between the immune system and cancer cells
c	1 × 10^–7	Concentration of chemokines
n	3.42 × 10^–10	Concentration of immune cells
k	1.8 × 10^–8	Degradation rate of chemokines
D_n	1.3 × 10^–4	Diffusion coefficient of immune cells
t	Est	Time
χ	Est	Sensitivity of immune cells to chemokines
D	4.13 × 10^–2	Diffusion coefficient of chemokines
c_n	5 × 10^–3	Sensitivity of concentration of chemokines

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Note. Adapted from “Modeling cancer immunoediting in tumor microenvironment with system characterizationthrough the ising-model Hamiltonian” by Rojas-Domínguez A, Arroyo-Duarte R, Rincón-Vieyra F, Alvarado-Mentado M. BMC Bioinformatics. 2022;30:200. (https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-022-04731-w#citeas). CC BY.

Declarations

Acknowledgments

This work is supported under a research project entitled “Mathematical modeling of tumor growth and its treatments” granted by the U.P. State Government under the supervision of Prof. Sanjeev Kumar.

Author contributions

DG: Conceptualization, Methodology, Formal analysis, Investigation, Visualization, Writing—original draft. SK: Conceptualization, Writing—review & editing, Supervision. RS: Data curation. DD: Validation, Writing—review & editing.

Conflicts of interest

The authors declare that they have no conflicts of interest.

Ethical approval

Not applicable.

Consent to participate

Not applicable.

Consent to publication

Not applicable.

Availability of data and materials

The datasets that support the findings of this study are available from the corresponding author upon reasonable request.

Funding

Not applicable.

Copyright

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