title: Dose escalation with overdose control using a quasi-continuous toxicity score in cancer Phase I clinical trials.
abstract: Escalation with overdose control (EWOC) is a Bayesian adaptive design for selecting dose levels in cancer Phase I clinical trials while controlling the posterior probability of exceeding the maximum tolerated dose (MTD). EWOC has been used by clinicians to design many cancer Phase I clinical trials, see e.g. [1-4]. However, this design treats the toxicity response as a binary indicator of dose limiting toxicity (DLT) and does not account for the number and specific grades of toxicities experienced by patients during the trial. Chen et al. (2010) proposed a novel toxicity score system to fully utilize all toxicity information using a normalized equivalent toxicity score (NETS). In this paper, we propose to incorporate NETS into EWOC using a quasi-Bernoulli likelihood approach to design cancer Phase I clinical trials. We call the design escalation with overdose control using normalized equivalent toxicity score (EWOC-NETS). Simulation results show that this design has good operating characteristics and improves the accuracy of MTD, trial efficiency, therapeutic effect, and overdose control relative to EWOC which is used as a representative of designs treating toxicity response as a binary indicator of DLT. We illustrate the performance of this design using real trial data in identifying the Phase II dose.
authors.affiliation: Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322, USA. zchen38@emory.edu
authors.forename: Zhengjia
authors.initials: Z
authors.lastname: Chen
authors.forename: Mourad
authors.initials: M
authors.lastname: Tighiouart
authors.forename: Jeanne
authors.initials: J
authors.lastname: Kowalski
mesh_terms: D000465:Algorithms; D000970:Antineoplastic Agents / Q000008:administration & dosage / Q000009:adverse effects / Q000627:therapeutic use*; D001499:Bayes Theorem; D017321:Clinical Trials, Phase I as Topic / Q000379:methods*; D003198:Computer Simulation; D004305:Dose-Response Relationship, Drug; D062787:Drug Overdose; D006801:Humans; D016013:Likelihood Functions; D020714:Maximum Tolerated Dose; D009369:Neoplasms / Q000188:drug therapy*; D016032:Randomized Controlled Trials as Topic / Q000379:methods*
chemical_list: D000970:Antineoplastic Agents