A mathematical model of the development of drug resistant to cancer chemotherapy

1987 ◽  
Vol 23 (9) ◽  
pp. 1421-1427 ◽  
Author(s):  
Brian G. Birkhead ◽  
Elaine M. Rankin ◽  
Stephen Gallivan ◽  
Leanne Dones ◽  
Robert D. Rubens
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sharon S. Hori ◽  
Ling Tong ◽  
Srividya Swaminathan ◽  
Mariola Liebersbach ◽  
Jingjing Wang ◽  
...  

AbstractThe targeted inactivation of individual oncogenes can elicit regression of cancers through a phenomenon called oncogene addiction. Oncogene addiction is mediated by cell-autonomous and immune-dependent mechanisms. Therapeutic resistance to oncogene inactivation leads to recurrence but can be counteracted by immune surveillance. Predicting the timing of resistance will provide valuable insights in developing effective cancer treatments. To provide a quantitative understanding of cancer response to oncogene inactivation, we developed a new 3-compartment mathematical model of oncogene-driven tumor growth, regression and recurrence, and validated the model using a MYC-driven transgenic mouse model of T-cell acute lymphoblastic leukemia. Our mathematical model uses imaging-based measurements of tumor burden to predict the relative number of drug-sensitive and drug-resistant cancer cells in MYC-dependent states. We show natural killer (NK) cell adoptive therapy can delay cancer recurrence by reducing the net-growth rate of drug-resistant cells. Our studies provide a novel way to evaluate combination therapy for personalized cancer treatment.


2021 ◽  
Author(s):  
Yupei Ma ◽  
Du Li ◽  
Yunchao Xiao ◽  
Zhijun OuYang ◽  
Mingwu Shen ◽  
...  

Conventional cancer chemotherapy is facing difficulties in improving the bioavailability, overcoming the severe adverse side effect of chemotherapeutics and reversing the multidrug resistance of cancer cells. To address these challenges,...


1985 ◽  
Vol 73 (1) ◽  
pp. 1-31 ◽  
Author(s):  
B.F. Dibrov ◽  
A.M. Zhabotinsky ◽  
Yu.A. Neyfakh ◽  
M.P. Orlova ◽  
L.I. Churikova

2012 ◽  
Vol 20 (03) ◽  
pp. 303-325 ◽  
Author(s):  
PRASHANT K. SRIVASTAVA ◽  
MALAY BANERJEE ◽  
PEEYUSH CHANDRA

In this paper, a mathematical model for the effect of drug therapy on the in-host dynamics of HIV is considered and analyzed. As the process of reverse transcription is highly error prone, it causes mutation of virus which results in the emergence of drug resistant virus. This is also accounted in the model and corresponding model with both drug resistant and drug sensitive viral strains is studied. We found that, if reproductive ratios for both the strains are less than one, the virus population goes to extinction. If the reproductive ratio of either strain is greater than one and the reproductive ratio of drug resistant virus is smaller than that of drug sensitive virus then both the virus strains persist and infection is not cleared. However if reproductive ratio of drug resistant virus is greater than that of drug sensitive virus then the drug resistant virus out-competes the drug sensitive virus and only drug resistant virus survives. Hence the ratio of two reproduction ratios works as invading capacity threshold value for drug resistant strain. We also noted that by increasing the effective efficacy of the drug, virus may be cleared. Numerical simulations are performed to support and elaborate the analytical findings.


1990 ◽  
Vol 99 (2) ◽  
pp. 205-230 ◽  
Author(s):  
R.B. Martin ◽  
M.E. Fisher ◽  
R.F. Minchin ◽  
K.L. Teo

2019 ◽  
Vol 42 (4) ◽  
pp. 1167-1193 ◽  
Author(s):  
Victor Fabian Morales-Delgado ◽  
José Francisco Gómez-Aguilar ◽  
Khaled Saad ◽  
Ricardo Fabricio Escobar Jiménez

Sign in / Sign up

Export Citation Format

Share Document