title: Optimal Intervention in Markovian Gene Regulatory Networks With Random-Length Therapeutic Response to Antitumor Drug.
abstract: The most effective cancer treatments are the ones that prolong patients' lives while offering a reasonable quality of life during and after treatment. The treatments must also carry out their actions rapidly and with high efficiency such that a very large percentage of tumor cells die or shift into a state where they stop proliferating. Due to biological and microenvironmental variabilities within tumor cells, the action period of an administered drug can vary among a population of patients. In this paper, based on a recently proposed model for tumor growth inhibition, we first probabilistically characterize the variability of the length of drug action. Then, we present a methodology to devise optimal intervention strategies for any Markovian genetic regulatory network governing the tumor when the antitumor drug has a random-length duration of action.
authors.forename: Mohammadmahdi R
authors.initials: MR
authors.lastname: Yousefi
authors.forename: Aniruddha
authors.initials: A
authors.lastname: Datta
authors.forename: Edward R
authors.initials: ER
authors.lastname: Dougherty
mesh_terms: D000970:Antineoplastic Agents / Q000627:therapeutic use*; D053263:Gene Regulatory Networks / Q000187:drug effects*; D006801:Humans; D008390:Markov Chains; D008954:Models, Biological; D009369:Neoplasms / Q000188:drug therapy* / Q000235:genetics*
chemical_list: D000970:Antineoplastic Agents