Literature DB >> 26551156

Mathematical modeling of drug resistance due to KRAS mutation in colorectal cancer.

Sheema Sameen1, Roberto Barbuti2, Paolo Milazzo2, Antonio Cerone2, Marzia Del Re3, Romano Danesi3.   

Abstract

The most challenging task in colorectal cancer research nowadays is to understand the development of acquired resistance to anti-EGFR drugs. The key reason for this problem is the KRAS mutations appearance after the treatment with monoclonal antibodies (moAb). Here we present a mathematical model for the analysis of KRAS mutations behavior in colorectal cancer with respect to moAb treatments. To evaluate the drug performance we have developed equations for two types of tumors cells, KRAS mutated and KRAS wild-type. Both tumor cell populations were treated with a combination of moAb and chemotherapy drugs. It was observed that even the minimal initial concentration of KRAS mutation before the treatment has the ability to make the tumor refractory to the treatment. Minor population of KRAS mutations has strong influence on large number of wild-type cells as well rendering them resistant to chemotherapy. Patient׳s immune responses are specifically taken into considerations and it is found that, in case of KRAS mutations, the immune strength does not affect medication efficacy. Finally, cetuximab (moAb) and irinotecan (chemotherapy) drugs are analyzed as first-line treatment of colorectal cancer with few KRAS mutated cells. Results show that this combined treatment could be only effective for patients with high immune strengths and it should not be recommended as first-line therapy for patients with moderate immune strengths or weak immune systems because of a potential risk of relapse, with KRAS mutant cells acquired resistance involved with them.
Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Colorectal cancer; KRAS mutation; Mathematical model; Monoclonal antibody resistance

Mesh:

Substances:

Year:  2015        PMID: 26551156     DOI: 10.1016/j.jtbi.2015.10.019

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  10 in total

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  10 in total

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