Comparison of power between randomized discontinuation design and upfront randomization design on progression-free survival

Purified dry extract of Paullinia cupana (guaraná) (PC-18) for chemotherapy-related fatigue in patients with solid tumors: an early discontinuation study

PURPOSE

Paullinia cupana (guaraná) is an Amazonian plant that has been previously shown to be effective in treating chemotherapy-related fatigue (CRF) in patients with breast cancer. We aimed to evaluate the efficacy of a purified dry extract of P. cupana (PC-18) in patients with various solid tumors treated with chemotherapy.

METHODS

We included 40 patients with solid tumors who showed increases in their Brief Fatigue Inventory (BFI) questionnaire scores after 1 week of systemic chemotherapy. PC-18 was administered at 37.5 mg by mouth two times per day (PO bid), starting after 1 week of chemotherapy, for 3 weeks (induction phase). Patients who had an improvement in or stabilization of their BFI scores were randomized to receive either PC-18 at the same dose or placebo for the following 3 weeks (maintenance phase).

RESULTS

After PC-18 treatment, the BFI fatigue scores improved or stabilized in 36 out of the 40 patients (mean BFI score difference = 2.503; 95% confidence interval: 1.716-3.375, p = .0002). Three weeks after randomization (16 patients on PC-18 and 17 on placebo), we observed no significant differences in the BFI, Functional Assessment of Chronic Illness Therapy, Hospital Anxiety and Depression Scale, and Pittsburgh Sleep Quality Index scores between patients randomized to PC-18 versus placebo.

CONCLUSIONS

We conclude that the PC-18 extract may be effective for the treatment of CRF in patients with a variety of solid tumors. A conditioning effect, which was observed in patients who had a beneficial effect of PC-18 on CRF, may explain the better than expected fatigue scores of the placebo-treated patients.

Parallel anticancer drug development and molecular stratification to qualify predictive biomarkers: dealing with obstacles hindering progress

Current anticancer drug development still largely follows the classic designs developed for chemotherapeutic agents over the past 4 to 5 decades, remaining slow, costly, and inefficient, with continuing high risks of costly late drug attrition. A Pharmacologic Audit Trail has been described to decrease these risks, incorporating pharmacokinetic, pharmacodynamic, intermediate efficacy endpoints, as well as patient stratification molecular biomarkers. Molecular biomarker-based patient selection in hypothesis-testing early clinical trials is critical to clinically qualify putative predictive biomarkers for rationally designed, molecularly targeted drugs as early as possible. Nevertheless, major concerns have been raised about the impact of using such biomarkers in early trials, in view of the costs and time involved to develop multiple certified assays for clinical use. The rapid evolution of novel technologies of utility to this field, such as next-generation sequencing and circulating tumor-cell isolation, makes these valid concerns of critical importance. We therefore propose a more efficient parallel predictive biomarker and clinical anticancer drug development process to deal with the obstacles hindering progress.

Estimation of Progression-Free Survival for All Treated Patients in the Randomized Discontinuation Trial Design

The randomized discontinuation trial (RDT) design is an enrichment-type design that has been used in a variety of diseases to evaluate the efficacy of new treatments. The RDT design seeks to select a more homogeneous group of patients, consisting of those who are more likely to show a treatment benefit if one exists. In oncology, the RDT design has been applied to evaluate the effects of cytostatic agents, that is, drugs that act primarily by slowing tumor growth rather than shrinking tumors. In the RDT design, all patients receive treatment during an initial, open-label run-in period of duration T. Patients with objective response (substantial tumor shrinkage) remain on therapy while those with early progressive disease are removed from the trial. Patients with stable disease (SD) are then randomized to either continue active treatment or switched to placebo. The main analysis compares outcomes, for example, progression-free survival (PFS), between the two randomized arms. As a secondary objective, investigators may seek to estimate PFS for all treated patients, measured from the time of entry into the study, by combining information from the run-in and post run-in periods. For t ≤ T, PFS is estimated by the observed proportion of patients who are progression-free among all patients enrolled. For t > T, the estimate can be expressed as Ŝ(t) = p̂_OR × Ŝ_OR(t - T) + p̂_SD × Ŝ_SD(t - T), where p̂_OR is the estimated probability of response during the run-in period, p̂_SD is the estimated probability of SD, and Ŝ_OR(t - T) and Ŝ_SD(t - T) are the Kaplan-Meier estimates of subsequent PFS in the responders and patients with SD randomized to continue treatment, respectively. In this article, we derive the variance of Ŝ(t), enabling the construction of confidence intervals for both S(t) and the median survival time. Simulation results indicate that the method provides accurate coverage rates. An interesting aspect of the design is that outcomes during the run-in phase have a negative multinomial distribution, something not frequently encountered in practice.

A phase II study of sunitinib in recurrent and/or metastatic adenoid cystic carcinoma (ACC) of the salivary glands: current progress and challenges in evaluating molecularly targeted agents in ACC

BACKGROUND

Vascular endothelial growth factor (VEGF) and c-kit are highly expressed in adenoid cystic carcinoma (ACC) and associated with biologic aggressiveness. This study aimed to assess the antitumor activity of sunitinib, a multi-targeted inhibitor of vascular endothelial growth factor receptor, c-kit, platelet-derived growth factor receptor, ret proto-oncogene (RET) and FMS-like tyrosine kinase 3 (FLT3), in ACC of the salivary gland.

PATIENTS AND METHODS

Patients with progressive, recurrent and/or metastatic ACC were treated with sunitinib 37.5 mg daily in this single-arm, two-stage phase II trial. Response was assessed every 8 weeks.

RESULTS

Fourteen patients were enrolled on to the study. Among 13 assessable patients, there were no objective responses, 11 patients had stable disease (SD), 8 patients had SD ≥ 6 months and 2 patients had progressive disease as best response. Median time to progression was 7.2 months. Median overall survival was 18.7 months. Toxic effects occurring in at least 50% of patients included fatigue, oral mucositis and hypophosphatemia usually of mild to moderate severity.

CONCLUSIONS

Although no responses were observed, sunitinib was well tolerated, with prolonged tumor stabilization of ≥ 6 months in 62% of assessable patients. The lack of responses is comparable with other trials of molecularly targeted agents in ACC and highlights the need for novel strategies in phase II clinical trial design.

Bayesian enrichment strategies for randomized discontinuation trials

We propose optimal choice of the design parameters for random discontinuation designs (RDD) using a Bayesian decision-theoretic approach. We consider applications of RDDs to oncology phase II studies evaluating activity of cytostatic agents. The design consists of two stages. The preliminary open-label stage treats all patients with the new agent and identifies a possibly sensitive subpopulation. The subsequent second stage randomizes, treats, follows, and compares outcomes among patients in the identified subgroup, with randomization to either the new or a control treatment. Several tuning parameters characterize the design: the number of patients in the trial, the duration of the preliminary stage, and the duration of follow-up after randomization. We define a probability model for tumor growth, specify a suitable utility function, and develop a computational procedure for selecting the optimal tuning parameters.

Phase II clinical trials in oncology: are we hitting the target?

The number of novel and molecularly targeted agents in the last decade that need screening for preliminary efficacy in Phase II trials has increased. Many of these agents have a cytostatic mode of action that is difficult to assess using traditional Phase II designs. These new agents require detailed evaluation to optimize their dosing, to evaluate their effects on their target and to define early markers that predict for a definitive benefit. This review focuses on the options for Phase II trial designs. The different end points, single versus multiarm and randomized designs, the use of biomarkers and Bayesian approaches are also reviewed. The final design chosen will depend on the characteristics and circumstances of each individual study.

A phase II study of sorafenib in advanced uterine carcinoma/carcinosarcoma: a trial of the Chicago, PMH, and California Phase II Consortia

OBJECTIVES

To determine the efficacy and safety of single agent sorafenib, an oral multi-targeted tyrosine kinase inhibitor, in patients with advanced uterine carcinoma and carcinosarcoma.

METHODS

This multi-institutional non-randomized phase II trial enrolled two cohorts: patients with uterine carcinoma (cohort A) and uterine carcinosarcoma (cohort B). Eligibility criteria included measurable disease, 0-1 prior chemotherapy regimens, and ECOG performance status

RESULTS

Fifty-six patients (40 with carcinoma, 16 with carcinosarcoma) were enrolled between March 2005 and August 2007. Two (5%) patients with uterine carcinoma had a partial response (PR) and 17 (42.5%) achieved stable disease (SD). Five had SD lasting at least 4 months. The 6-month progression-free survival rate for patients with carcinoma was 29%, and the median overall survival was 11.4 months. No patients with carcinosarcoma had an objective response. Four (25%) had SD, and one had SD lasting 18 months. The 6-month progression-free survival rate was 13%, and the median overall survival was 5.0 months. Grade 3/4 drug related toxicities included: hypertension (13%), hand-foot syndrome (13%), hypophosphatemia (7%), anemia (5%), rash (5%), diarrhea (5%), thrombosis (5%), fatigue (5%) and bleeding (5%).

CONCLUSION

Sorafenib had minimal activity in patients with uterine carcinoma. Predictive factors for potential benefit are needed.

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Key Words Collapse

MESH Headings

• Adult
• Aged
• Aged, 80 and over
• Antineoplastic Agents/adverse effects
• Antineoplastic Agents/therapeutic use
• Benzenesulfonates/adverse effects
• Benzenesulfonates/therapeutic use
• Carcinoma/drug therapy
• Carcinosarcoma/drug therapy
• Disease-Free Survival
• Female
• Humans
• Middle Aged
• Neoplasm Recurrence, Local/drug therapy
• Niacinamide/analogs & derivatives
• Phenylurea Compounds
• Pyridines/adverse effects
• Pyridines/therapeutic use
• Sorafenib
• Survival Rate
• Uterine Neoplasms/drug therapy

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Grants

• P30 CA014599-34 NCI NIH HHS
• P30 CA014599 NCI NIH HHS
• N01CM62209 NCI NIH HHS
• N01CM62203 NCI NIH HHS
• N01 CM062201 NCI NIH HHS

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Affiliation(s)

Halla S. Nimeiri University of Chicago, Chicago, IL
Amit M. Oza Princess Margaret Hospital, Toronto, ON, Canada
Robert J. Morgan City of Hope Comprehensive Cancer Center, Duarte, CA
Dezheng Huo University of Chicago, Chicago, IL
Laurie Elit Juravinski Cancer Centre, Hamilton, Ontario, Canada
James A. Knost Oncology/Hematology Associates, Peoria, IL
James L. Wade Decatur Memorial Hospital, Decatur, IL
Edem Agamah Central Illinois Hematology/Oncology Center, Springfield, IL
Everett E. Vokes University of Chicago, Chicago, IL
Gini F. Fleming University of Chicago, Chicago, IL

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