FDA approval summary for lonafarnib (Zokinvy) for the treatment of Hutchinson-Gilford progeria syndrome and processing-deficient progeroid laminopathies.

The U.S. Food and Drug Administration recently approved lonafarnib as the first treatment for Hutchinson-Gilford progeria syndrome (HGPS) and processing-deficient progeroid laminopathies. This approval was primarily based on a comparison of patients with HGPS treated with lonafarnib in 2 open-label trials with an untreated patient cohort. With up to 11 years of follow-up, it was found that the lonafarnib treated patients with HGPS had a survival benefit of 2.5 years compared with the untreated patients with HGPS. This large treatment effect on the objective endpoint of mortality using a well-matched comparator group mitigated potential sources of bias and together with other evidence, established compelling evidence of a drug effect with benefits that outweighed the risks. This approval is an example of U.S. Food and Drug Administration's regulatory flexibility for a rare disease while ensuring that standards for drug approval are met.

The U.S. Food and Drug Administration's Complex Innovative Trial Design Pilot Meeting Program: Progress to date.

BACKGROUND: The Center for Drug Evaluation and Research and the Center for Biologics Evaluation and Research of the U.S. Food and Drug Administration have been leaders in advancing science to protect and promote public health by ensuring that safe and effective drugs and biological products are available to those who need them. Recently, new therapeutic discoveries, increased understanding of disease mechanisms, the need for innovation to optimally use resources, and global public health crises have led to an evolving drug development landscape. As a result, the U.S. Food and Drug Administration and medical product developers are faced with unique challenges and opportunities. The U.S. Food and Drug Administration is proactively meeting the challenges of this evolving landscape through various efforts, including the Complex Innovative Trial Design Pilot Meeting Program. Our focus, here, will be on the pilot meeting program. METHODS: The U.S. Food and Drug Administration has defined a process to facilitate the implementation of the Complex Innovative Trial Design Pilot Meeting Program. The process is transparent and outlines the steps and timeline for submission, review, and meetings. RESULTS: Five submitted meeting requests have been selected for participation in the Complex Innovative Trial Design Pilot Meeting Program. CONCLUSION: The pilot meeting program has been successful in further educating stakeholders on the potential uses of complex innovative designs in trials intended to provide substantial evidence of effectiveness. The selected submissions, thus far, have all utilized a Bayesian framework. The reasons for the use of Bayesian approaches may be due to the flexibility provided, the ability to incorporate multiple sources of evidence, and a desire to better understand the U.S. Food and Drug Administration perspective on such approaches. We are confident the pilot meeting program will have continued success and impact the collective goal of bringing safe and effective medical products to patients.

Statistical considerations for a trial of Ebola virus disease therapeutics.

The 2014 West African outbreak of Ebola virus ravaged Liberia, Sierra Leone, and Guinea, causing hemorrhagic fever and death. The need to identify effective therapeutics was acute. The usual drug development paradigm of phase I, followed by phase II, and then phase III trials would take too long. These and other factors led to the design of a clinical trial of Ebola virus disease therapeutics that differs from more conventional clinical trial designs. This article describes the Ebola virus disease medical countermeasures trial design and the thinking behind it.

Sustained virological response rates with direct-acting antivirals in black subjects with HCV genotype 1 infection: systematic analysis of clinical trials.

OBJECTIVES: Under representation of black subjects in trials of hepatitis C virus (HCV) direct-acting antivirals (DAAs) complicates assessment of differential outcomes for black individuals vs non-black individuals. HCV trials submitted to the Food and Drug Administration (2013-2017) to support approval or to expand an indication of 12-week interferon-free DAA regimens with or without ribavirin to treat HCV genotype 1 (GT1) infection were pooled to explore efficacy comparisons by ethnicity. METHODS: Twenty-six trials were pooled and included 2869 individuals with HCV GT1 alone and 742 individuals with both HCV GT1 and HIV. RESULTS: Of the 2869 HCV GT1-mono-infected subjects, 408 (14.2%) were black. Sustained virological response assessed 12 weeks following cessation of treatment (SVR12) was 92%-100% in black individuals and 87.5%-100.0% in non-black individuals. In pooled analyses, SVR12 was numerically similar between black and non-black subjects (97.1% vs 97.3%). Baseline characteristics did not affect SVR12 for the two groups. Of the 742 subjects with both HCV GT1 and HIV, 243 (32.7%) were black: SVR12 was 89.5%-100% in black individuals and 94.4%-100% in non-black individuals. In pooled analyses for HCV GT1/HIV co-infection, black individuals had a 4% (95% confidence interval -7.7% to 0.3%) lower SVR12 than non-black individuals (93.4% vs 97.0%). This difference was driven by ION-4 in which study SVR12 was approximately 10% lower for black than for non-black individuals (89.5% vs 99.1%). Baseline characteristics did not affect SVR12 for the two groups. CONCLUSION: No notable SVR12 differences were seen in between black and non-black individuals with HCV GT1 alone. Although a numerical difference was observed between black and non-black individuals with both HCV GT1 and HIV, this finding was driven by results from a single trial and may be due to reasons other than ethnicity: 19 subgroup analyses showed baseline characteristics did not affect SVR12 for black and non-black individuals with both HCV GT1 and HIV.

Modelling relative survival using transformation methods.

Patient survival is often assessed as a measure of effectiveness of treatment in cancer clinical trials. The relative survival rate is a measure of patient survival corrected for the effect of other causes of death. We incorporate an additive hazards model for the overall force of mortality focusing attention on the form of the underlying disease process. Transformation models for the cause-specific hazard rate describing the disease process are considered. We demonstrate a method for estimating the transformation parameter providing insight into the appropriate choice of model structure. The models include the additive and multiplicative structures as special cases. We write the models in the generalized linear model framework and demonstrate ease of fitting via existing statistical software. The methodology is applied to a Hodgkin's disease data set to assess the effect of clinical trial results on population survival. Our analysis concludes that the multiplicative structure provides a more appropriate description of the data as compared to the additive structure.