TR
EN
A Mathematical Tumor Model with Oncolytic Virus
Öz
In this study, a four-dimensional model [29] that is given for interactions between nutrient, healthy cells, tumor cells, and oncolytic virus, is extended with a five-dimensional ordinary differential equations system. Infected tumor cells are included in the model since oncolytic virus infects tumor cells. In order to investigate the role of oncolytic virus in eradication of tumor burden, stability analysis has been performed in case of no tumor cells in the system. It is determined that the stability of the system in case of no tumor cells and healthy cells is related with the minimum virus dosage injected into the host. In case of no tumor cells, but healthy cells, the minimum dosage is smaller than the previous case for stability of the equilibrium point. Therefore, this study demonstrates that existence of healthy cells in the host increases the chance of eradication of tumor cells, and it leads to a decrease in virus dosage. Finally, some numerical results have been obtained for the stability analysis and numerical findings have been presented.
Anahtar Kelimeler
Kaynakça
- National Cancer Institute. July, 2019. What is cancer? https://www.cancer.gov/about-cancer/understanding/what-is-cancer.
- Schreiber, R. D., Old, L. J., & Smyth, M. J. (2011). Cancer immunoediting: integrating immunity’s roles in cancer suppression and promotion. Science, 331(6024), 1565-1570.
- Finn, O. J. (2012). Immuno-oncology: understanding the function and dysfunction of the immune system in cancer. Annals of Oncology, 23(suppl_8), viii6-viii9.
- Dunn, G. P., Old, L. J., & Schreiber, R. D. (2004). The three Es of cancer immunoediting. Annual Reviews of Immunology, 22, 329-360.
- Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R. L., Torre, L. A., & Jemal, A. (2018). Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians, 68(6), 394-424.
- Miller, K. D., Siegel, R. L., Lin, C. C., Mariotto, A. B., Kramer, J. L., Rowland, J. H., Stein, K. D., Alteri, R. & Jemal, A. D.V.M. (2016). Cancer treatment and survivorship statistics, 2016. CA: A Cancer Journal for Clinicians, 66(4), 271-289.
- Mamat, M., Subiyanto, K. A., & Kartono, A. (2013). Mathematical model of cancer treatments using immunotherapy, chemotherapy and biochemotherapy. Applied Mathematical Sciences, 7(5), 247-261.
- Melief, C. J. (2008). Cancer immunotherapy by dendritic cells. Immunity, 9(3), 372-383.
Ayrıntılar
Birincil Dil
İngilizce
Konular
-
Bölüm
Araştırma Makalesi
Yazarlar
Yayımlanma Tarihi
30 Aralık 2020
Gönderilme Tarihi
23 Temmuz 2019
Kabul Tarihi
9 Kasım 2020
Yayımlandığı Sayı
Yıl 2020 Cilt: 7 Sayı: 2
APA
Akman Yıldız, T. (2020). A Mathematical Tumor Model with Oncolytic Virus. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi, 7(2), 609-620. https://doi.org/10.35193/bseufbd.595527
AMA
1.Akman Yıldız T. A Mathematical Tumor Model with Oncolytic Virus. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi. 2020;7(2):609-620. doi:10.35193/bseufbd.595527
Chicago
Akman Yıldız, Tuğba. 2020. “A Mathematical Tumor Model with Oncolytic Virus”. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi 7 (2): 609-20. https://doi.org/10.35193/bseufbd.595527.
EndNote
Akman Yıldız T (01 Aralık 2020) A Mathematical Tumor Model with Oncolytic Virus. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi 7 2 609–620.
IEEE
[1]T. Akman Yıldız, “A Mathematical Tumor Model with Oncolytic Virus”, Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi, c. 7, sy 2, ss. 609–620, Ara. 2020, doi: 10.35193/bseufbd.595527.
ISNAD
Akman Yıldız, Tuğba. “A Mathematical Tumor Model with Oncolytic Virus”. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi 7/2 (01 Aralık 2020): 609-620. https://doi.org/10.35193/bseufbd.595527.
JAMA
1.Akman Yıldız T. A Mathematical Tumor Model with Oncolytic Virus. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi. 2020;7:609–620.
MLA
Akman Yıldız, Tuğba. “A Mathematical Tumor Model with Oncolytic Virus”. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi, c. 7, sy 2, Aralık 2020, ss. 609-20, doi:10.35193/bseufbd.595527.
Vancouver
1.Tuğba Akman Yıldız. A Mathematical Tumor Model with Oncolytic Virus. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi. 01 Aralık 2020;7(2):609-20. doi:10.35193/bseufbd.595527