Literature DB >> 12900142

The effect of heterogeneity on optimal regimens in cancer chemotherapy.

J M Murray1, A J Coldman.   

Abstract

Optimal drug regimens for cancer chemotherapy are determined when knowledge is only available on the behaviour of the tumour and the drugs used, over a population of patients. The case of two drugs is investigated where they are equivalent on average. Our calculations indicate that the optimal regimen has both drugs given initially but then sequences the two drugs. Our calculations also indicate that as tumour heterogeneity increases, the benefit to be gained from the optimal regimen can decrease in comparison to reasonable regimens. This has the effect of complicating the calculation of optimal regimens in a clinical setting, and may explain why results in experimental oncology fail to carry over to clinical oncology.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12900142     DOI: 10.1016/s0025-5564(03)00093-2

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  4 in total

Review 1.  Evolution of acquired resistance to anti-cancer therapy.

Authors:  Jasmine Foo; Franziska Michor
Journal:  J Theor Biol       Date:  2014-03-25       Impact factor: 2.691

Review 2.  Improving Cancer Treatment via Mathematical Modeling: Surmounting the Challenges Is Worth the Effort.

Authors:  Franziska Michor; Kathryn Beal
Journal:  Cell       Date:  2015-11-19       Impact factor: 41.582

Review 3.  Optimal treatment and stochastic modeling of heterogeneous tumors.

Authors:  Hamidreza Badri; Kevin Leder
Journal:  Biol Direct       Date:  2016-08-23       Impact factor: 4.540

4.  Designing combination therapies with modeling chaperoned machine learning.

Authors:  Yin Zhang; Julie M Huynh; Guan-Sheng Liu; Richard Ballweg; Kayenat S Aryeh; Andrew L Paek; Tongli Zhang
Journal:  PLoS Comput Biol       Date:  2019-09-09       Impact factor: 4.475

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.