Pharmacologically Based Phase I Trials in Cancer Chemotherapy

Adaptive Estimation of Personalized Maximum Tolerated Dose in Cancer Phase I Clinical Trials Based on All Toxicities and Individual Genomic Profile

BACKGROUND

Many biomarkers have been shown to be associated with the efficacy of cancer therapy. Estimation of personalized maximum tolerated doses (pMTDs) is a critical step toward personalized medicine, which aims to maximize the therapeutic effect of a treatment for individual patients. In this study, we have established a Bayesian adaptive Phase I design which can estimate pMTDs by utilizing patient biomarkers that can predict susceptibility to specific adverse events and response as covariates.

METHODS

Based on a cutting-edge cancer Phase I clinical trial design called escalation with overdose control using normalized equivalent toxicity score (EWOC-NETS), which fully utilizes all toxicities, we propose new models to incorporate patient biomarker information in the estimation of pMTDs for novel cancer therapeutic agents. The methodology is fully elaborated and the design operating characteristics are evaluated with extensive simulations.

RESULTS

Simulation studies demonstrate that the utilization of biomarkers in EWOC-NETS can estimate pMTDs while maintaining the original merits of this Phase I trial design, such as ethical constraint of overdose control and full utilization of all toxicity information, to improve the accuracy and efficiency of the pMTD estimation.

CONCLUSIONS

Our novel cancer Phase I designs with inclusion of covariate(s) in the EWOC-NETS model are useful to estimate a personalized MTD and have substantial potential to improve the therapeutic effect of drug treatment.

A practical design for a dual-agent dose-escalation trial that incorporates pharmacokinetic data

Traditionally, model-based dose-escalation trial designs recommend a dose for escalation based on an assumed dose-toxicity relationship. Pharmacokinetic data are often available but are currently only utilised by clinical teams in a subjective manner to aid decision making if the dose-toxicity model recommendation is felt to be too high. Formal incorporation of pharmacokinetic data in dose-escalation could therefore make the decision process more efficient and lead to an increase in the precision of the resulting recommended dose, as well as decreasing the subjectivity of its use. Such an approach is investigated in the dual-agent setting using a Bayesian design, where historical single-agent data are available to advise the use of pharmacokinetic data in the dual-agent setting. The dose-toxicity and dose-exposure relationships are modelled independently and the outputs combined in the escalation rules. Implementation of stopping rules highlight the practicality of the design. This is demonstrated through an example which is evaluated using simulation.

New Paradigm in Dose-Finding Trials: Patient-Specific Dosing and Beyond Phase I

We propose a new paradigm for the clinical evaluation of new cancer therapies. It entails adjusting the search for the optimal dose on the basis of measurable patient characteristics that may be predictive of adverse responses to treatment, and extending this search beyond phase I and into phases II and III. We provide examples of (a) how the fine-tuning of dose may involve utilization of patient-specific attributes to obtain a personalized treatment regimen, and (b) how novel methods for phase I design can be used to update the working dose for the conduct of phase II and III cancer clinical trials. These examples should be interpreted as an enticement for the development of new methods to implement the proposed new paradigm.

Individualized Patient Dosing in Phase I Clinical Trials: The Role of Escalation With Overdose Control in PNU-214936

Purpose

A patient-specific dose-escalation scheme using a Bayesian model of Escalation with Overdose Control (EWOC) was conducted to establish the maximum tolerated dose (MTD) of PNU-214936 in advanced non–small-cell lung cancer (NSCLC). PNU-214936 is a murine Fab fragment of the monoclonal antibody 5T4 fused to a mutated superantigen staphylococcal enterotoxin A (SEA).

Patients and Methods

Seventy-eight patients with NSCLC were treated with an individualized dose of PNU-214936 calculated using EWOC, based on their anti-SEA antibody level, and given as a 3-hour infusion on 4 consecutive days.

Results

Fever (82%; grade 3 to 4, 2.6%) and hypotension (57%; grade 3 to 4, 9%) were the most common toxicities. Eight dose-limiting toxicities occurred, as defined as any grade 4 toxicity occurring within the first 5 days. The MTD was defined as a function of pretreatment anti-SEA antibody level. MTD ranged from 103 ng/kg for patients with anti-SEA concentrations ≤ 10 pmol/mL, to 601 ng/kg for patients with anti-SEA concentrations of 91 to 150 pmol/mL. A minor tumor response was demonstrated in five of 66 assessable patients.

Conclusion

EWOC determined phase I doses of PNU-214936 that were adjusted for patient anti-SEA antibody level, while safeguarding against overdose. Furthermore, the method permitted the construction of a dosing algorithm that would allow patients in subsequent clinical investigations to be treated with a dose of PNU-214936 that is tailored to their specific tolerance for the agent, as reflected by their pretreatment anti-SEA.

The Phase III Trial in the Era of Targeted Therapy: Unraveling the “Go or No Go” Decision

Purpose: To review characteristics of contemporary phase III oncology trials and create an explicit framework to help clinical researchers prioritize novel therapies for phase III testing.

Methods: We searched the MEDLINE and EMBASE databases for all reviews of phase III trials; cataloged all phase III trials in two national clinical trial databases; and reviewed approval criteria of recently approved oncology drugs from public data provided by the US Food and Drug Administration. Industry data not available elsewhere in the medical literature were obtained from a sourcebook published by a large contract research organization.

Results: Phase III oncology trials are the most expensive and time-consuming aspect of the drug development process. The results of these trials continue to exert the greatest influence on the treatment decision of oncologists and remain pivotal to the granting of drug approval. Making optimal decisions about which agents to advance to phase III testing may decrease the overall cost of cancer drug development and limit the number of patients exposed to ineffective drugs. A conceptual decision model for prioritizing novel therapies for phase III testing is presented.

Conclusion: Cancer drug development has become more complex and expensive, whereas overall clinical progress remains slow. The transition from phase II to phase III requires a strategic decision that is based on new considerations. A greater investment in phase I and II drug trials may be required to provide the information necessary for phase III planning.

Paclitaxel pharmacodynamics: application of a mechanism-based neutropenia model

Antineoplastic agents exert adverse effects that impact both dose and scheduling of drug administration. Our objective was to develop a quantitative relationship between paclitaxel (taxol) exposure and pharmacodynamic endpoints, such as neutropenia or body weight loss. Paclitaxel in liposomes or Cremophor EL was administered to rats at doses of 20 or 40 mg/kg. Body weight and absolute neutrophil count were determined daily. The decrease in body weight was greater for paclitaxel in Cremophor EL than for liposomal paclitaxel, but hematological toxicity was similar. The hematological data was fit using a pharmacodynamic model to investigate the temporal delay between drug exposure and neutropenia. From the model, the lifespan of neutrophils (T(N)), of surviving precursor cells in bone marrow (T(P)), and a killing rate constant (K) were determined. The values of T(N), T(P), and K for liposomal paclitaxel were 95 h, 82 h, and 0.735 (microM h)(-1), respectively, and for paclitaxel in Cremophor EL, 86 h, 78 h, and 0.475 (microM h)(-1), respectively. Simulations of various doses indicated a dependency of the neutropenia time course on paclitaxel exposure. The entire time course of changes in neutrophil count is more informative than a single measurement if myelosuppression is prolonged and at a level associated with increased incidence of clinical adverse effects.

Patient specific dosing in a cancer phase I clinical trial

Recent improvements in our understanding of drug metabolism have led to the development of anticancer therapies that accommodate patient differences in drug tolerance. Such methods adjust the dose level according to measurable patient characteristics in order to obtain a target drug exposure. This paper describes the utilization of a patient specific dosing scheme in the statistical design of a phase I clinical trial involving patients with advanced adenocarcinomas of gastrointestinal origin. During the trial, dose levels were adjusted according to each patient's pretreatment concentration of an antibody that was shown in preclinical testing to moderate the effect of the agent under investigation. The design of the trial permitted a continual adjustment of the model used to tailor the dose to each patient's individual needs.