Multiregional Clinical Trials Research Articles

Assessment of treatment effect heterogeneity for multiregional randomized clinical trials

Multiregional clinical trials (MRCTs) have become increasingly common in recent years. Detecting underlying regional heterogeneity is a critical issue for these trials. Existing methods for assessing treatment effect heterogeneity across regions have ignored the incomparability of baseline extrinsic risk factors of the randomized patients from different regions. In this paper, a calibration weighting method is proposed to calibrate the distribution of these extrinsic risk factors between multiple regions. We establish the consistency and the asymptotic normality of the calibration weighting estimator. Simulation studies confirm the finite sample properties of the proposed estimator as well as its superior performance over naive methods and the inverse probability weighting method. The proposed method is illustrated using a randomized clinical trial of adjuvant chemotherapy for resected non-small-cell lung cancer.

Asia-inclusive drug development leveraging principles of ICH E5 and E17 guidelines: Case studies illustrating quantitative clinical pharmacology as a foundational enabler.

With the International Conference on Harmonization of Technical Requirements for Pharmaceuticals for Human Use (ICH) E17 guidelines in effect from 2018, the design of Asia-inclusive multiregional clinical trials (MRCTs) has been streamlined, thereby enabling efficient simultaneous global development. Furthermore, with the recent regulatory reforms in China and its drug administration joining the ICH as a full regulatory member, early participation of China in the global clinical development of novel investigational drugs is now feasible. This would also allow for inclusion of the region in the geographic footprint of pivotal MRCTs leveraging principles of the ICH E5 and E17. Herein, we describe recent case examples of model-informed Asia-inclusive global clinical development in the EMD Serono portfolio, as applied to the ataxia telangiectasia and Rad3-related inhibitors, tuvusertib and berzosertib (oncology), the toll-like receptor 7/8 antagonist, enpatoran (autoimmune diseases), the mesenchymal-epithelial transition factor inhibitor tepotinib (oncology), and the antimetabolite cladribine (neuroimmunological disease). Through these case studies, we illustrate pragmatic approaches to ethnic sensitivity assessments and the application of a model-informed drug development toolkit including population pharmacokinetic/pharmacodynamic modeling and pharmacometric disease progression modeling and simulation to enable early conduct of Asia-inclusive MRCTs. These examples demonstrate the value of a Totality of Evidence approach where every patient's data matter for de-risking ethnic sensitivity to inter-population variations in drug- and disease-related intrinsic and extrinsic factors, enabling inclusive global development strategies and timely evidence generation for characterizing benefit/risk of the proposed dosage in Asian populations.

RegionSizeR– A Novel App for Regional Sample Size Planning in MRCTs

In multi-regional clinical trials, planning the sample size for participating regions is essential for the evaluation of the treatment effect consistency across regions. Based on the MRCT design and sample size allocation to regions, consistency probability is usually used to predict the consistent trend between regions and the overall population, while preserving a certain proportion of the overall treatment effect. Specific enrollment characteristics in a region of interest should also be considered during the time of the sample size planning. To facilitate efficient and harmonized regional sample size planning, we have developed RegionSizeR, a comprehensive and user-friendly interactive web-based R shiny application that can be obtained from https://github.com/rsr-ss/RegionSizeR. This simulation-based app can serve as an initial point for discussions on sample size allocation plans, following preservation of treatment effect method in ICH E17. The app accommodates various types of endpoints and designs, including continuous, binary, and time-to-event endpoints, for superiority, non-inferiority, and MCP-Mod designs. To ensure the validity of this app, independent testing is conducted allowing a discrepancy of no more than 1% across all results considering various scenarios.

Role of Clinical Pharmacology in Diversity and Inclusion in Global Drug Development: Current Practices and Industry Perspectives: WhitePaper.

The 2022 United States Food and Drug Administration (US FDA) draft guidance on diversity plan (DP), which will be implemented through the Diversity Action Plans by December 2025, under the 21st Century Cures Act, marks a pivotal effort by the FDA to ensure that registrational studies adequately reflect the target patient populations based on diversity in demographics and baseline characteristics. This white paper represents the culminated efforts of the International Consortium of Quality and Innovation (IQ) Diversity and Inclusion (D&I) Working Group (WG) to assess the implementation of the draft FDA guidance by members of the IQ consortium in the discipline of clinical pharmacology (CP). This article describes current practices in the industry and emphasizes the tools and techniques of quantitative pharmacology that can be applied to support the inclusion of a diverse population during global drug development, to support diversity and inclusion of underrepresented patient populations, in multiregional clinical trials (MRCTs). It outlines strategic and technical recommendations to integrate demographics, including age, sex/gender, race/ethnicity, and comorbidities, in multiregional phase III registrational studies, through the application of quantitative pharmacology. Finally, this article discusses the challenges faced during global drug development, which may otherwise limit the enrollment of a broader, potentially diverse population in registrational trials. Based on the outcomes of the IQ survey that provided the current awareness of diversity planning, it is envisioned that in the future, industry efforts in the inclusion of previously underrepresented populations during global drug development will culminate in drug labels that apply to the intended patient populations at the time of new drug application or biologics license application rather than through post-marketing requirements.

Control of Frequentist type I error rates in hierarchical linear models for multiregional clinical trials using a Bayesian method

A multiregional clinical trial is a clinical trial conducted simultaneously in multiple regions under a single protocol. It is a new drug development strategy that has advantages in many ways. A significant part of these advantages comes from the hierarchical data structure of the multiregional clinical trials. Based on the recent work of Kim and Kang (2020) concerning hierarchical linear models to better reflect the structure, we address the problem of controlling the Frequentist type I error rate when the number of regions is small using a Bayesian method. More precisely, we present a strategy for controlling the type I error rate by setting a prespecified Bayesian credible level. Simulation results show that our proposed method controls the type I error rate reliably and well. Through sensitivity analysis, we also investigate the effect on the results when accurate information on between-region variability is given and when several different types of prior distributions are used.

Application of estimand framework to the design and analysis of multi-regional clinical trials

ABSTRACT With the increasing globalization of drug development and the publication of the International Council for Harmonisation (ICH) E17 guideline (ICH International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use 2017), multi-regional clinical trials (MRCTs) have become a preferred option to accelerate the availability of new medical products by design, execution and simultaneous submission under one protocol. MRCTs, with the participation of all major regions including countries from both developed and emerging markets, surely make new drug development more efficient. Even though the proposed estimand framework (ICH E9 (R1) (2019), came later in 2019 and was not mentioned in ICH E17, the application of the estimand framework has the potential to enhance the design, execution, and analysis in MRCTs. Defining an estimand within the regional context in MRCTs is an important issue that requires careful consideration. Given that consistency evaluation of treatment effects across regions is critical in MRCTs, the utilization of the estimand framework for regional consistency evaluation is also worth discussion. This paper aims to address these two questions. The five attributes of the estimand definition are discussed within a multi-regional context. It is imperative to thoroughly consider regional intrinsic/extrinsic factors when planning the estimand and estimation of MRCTs. A holistic approach is summarized to conduct consistency evaluation. When a regional inconsistency is observed, the possible reasons need to be further explored under five attributes of the estimand framework. Two real case studies are discussed to illustrate the application of the estimand framework in the consistency evaluation.

U.S. FDA analysis of enrollment of Asian patients from India in cancer clinical trials leading to approval from 2010 to 2022.

e13779 Background: There are an estimated 4.4 million Indian Americans (Asian Indian), constituting 1.35% of the United States (US) population. Indian Americans enrolled in clinical trials are identified under the broad race category of Asian which includes Asians within the US and outside of US (Ex-US). Although cancer is the leading cause of death for Asians in US, they are under-represented in cancer clinical trials. Enrollment of Asian patients from India (API) in multiregional oncology clinical trials may provide important data regarding intrinsic and extrinsic factors impacting the etiology of cancer as well as response to anti-cancer treatment in Indian Americans. Common cancers reported amongst Asians in US are breast, prostate, colorectal, and lung, and in India are breast, head and neck, cervical and lung. Methods: We analyzed data from ~96,000 patients in 164 cancer therapeutic trials that led to an FDA approval for breast, prostate, colorectal, lung, liver, gastric, head and neck and cervical cancer indications from 2010-2022, and identified country for enrollments for all Asians. Results: Descriptive statistics of Asian patients enrolled within US, Ex-US and from India enrolled in breast, prostate, colorectal, lung, liver, gastric, head and neck, and cervical cancer trials that led to an FDA approval from 2010-2022 are summarized (Table). Enrollment of Asian patients within US was ≤1% (except liver and cervical cancer), from India was ≤2.1% of all Asians enrolled outside of US and ≤0.7% of all enrolled patients. Conclusions: It is difficult to accurately characterize the exact number of Indian Americans enrolled but are likely under-represented in cancer clinical trials leading to FDA approval.Sponsors should collect more granular information regarding enrollment of Asian patients in clinical trials. Enrollment of patients from India is extremely low relative to the population size. Efforts to increase enrollment of Indian Americans as well as patients from India in oncology clinical trials can bolster the evidence that supports FDA drug approval and its applicability to Indian Americans. [Table: see text]

Underrepresentation of Asian Americans, Native Hawaiians, and other Pacific Islanders (AA & NHPI) in cancer clinical trials that led to FDA approvals in 2010-2022.

11026 Background: About 6% and 0.3% of the total United States (US) population identify as Asian or NHPI alone, respectively. The most commonly diagnosed cancers among AA & NHPI in the US are breast, prostate, lung, thyroid, and colorectal. Liver, gastric, and head and neck cancers occur in higher rates in AA & NHPI vs. non-Hispanic White. Enrollment of Asian & NHPI patients in multiregional cancer clinical trials may provide additional data regarding intrinsic and extrinsic factors (e.g., diet, infections, environmental exposures) impacting the etiology of cancer. We investigated enrollment trends of NHPI and Asian (within and outside of US) patients in cancer clinical trials that led to an FDA approval from 2010-2022. Methods: We analyzed data from ~98,000 patients in 171 cancer therapeutic clinical trials that led to FDA approvals for breast, prostate, lung, thyroid, colorectal, liver, gastric, and head and neck cancer indications from 2010-2022. Separate race categories of Asian and Native Hawaiian and other Pacific Islander were used. Results: Descriptive statistics of NHPI and Asians within and outside of US enrollment in breast, prostate, lung, thyroid, colorectal, liver, gastric, and head and neck cancer trials that led to an FDA approval from 2010-2022 are summarized in the table. Enrollment of Asian patients in the US was <1% (except for liver cancer) and NHPI patients was <0.2%. Conclusions: Although cancer is the leading cause of death for AA & NHPI, AA & NHPI are under-represented in cancer clinical trials, especially when data are further disaggregated into enrollment of NHPI and Asians within and outside of the US. Cancer etiology may vary in Asians in the US vs. Asia due to different intrinsic/extrinsic risk factors, underscoring the importance of enrolling more AA & NHPI into clinical trials to expand the evidence supporting drug approvals in the US and to advance health equity through clinical trial diversity. [Table: see text]

Simultaneous Global Drug Development and Multiregional Clinical Trials (MRCT): 5 Years After Implementation of ICH E17 Guidelines.

The ICH E17 guidelines (2014-2017) on Multiregional Clinical Trials (MRCT) was a joint effort by the regulators and industry to facilitate simultaneous global drug development and registration through taking a strategic approach for clinical trials. In other words, the objective was to reduce the time it takes to bringing medications to patients around the world through minimizing unnecessary duplication of local or regional studies, which may add the regulatory burden to cost and time of bringing new therapies to patients. Under the auspices of ICH, training materials were created and provided to various stakeholders. Despite the successful promotion of the benefits of ICH E17 MRCT guidelines across the different regions, the uptake of some concepts (e.g., pooling strategy) in the ICH E17 guidelines has been slow. This paper describes various factors which could affect the conduct of MRCT at a global level, including ambiguity in definition of "region" (in MRCT), new regulatory requirements to enroll a diverse patient population, the use of decentralized clinical trials, use of data sources other than randomized clinical trials (e.g., use of Real Word Data), and the impact of the COVID-19 pandemic on the conduct of MRCT.

Factors Associated with Inclusion of Japan in Phase I Multiregional Clinical Trials in Oncology.

Early inclusion of Japan in the global development program could be a key factor in reducing the drug lag, making participation in phase I multiregional clinical trials (Ph. I MRCTs) an important consideration for oncology drug development in Japan. We aimed to investigate the factors associated with the inclusion of Japan in Ph. I MRCTs in oncology. We compared the trial design, target population, type of primary tested drug, trial conduct profile, and sponsor profile for Ph. I MRCTs with or without Japan conducted by the top 20 companies in more than two countries and started between January 1, 2011, and December 31, 2020. One hundred and ninety-seven Ph. I MRCTs included Japan, and 697 did not. Detailed features of the Ph. I MRCTs in oncology were summarized, and several factors (trial design, target population, trial conduct profile, and sponsor profile) associated with inclusion of Japan in the Ph. I MRCTs were identified. It is important for Japanese subsidiaries within global pharmaceutical companies to closely communicate with the headquarters based on medical practice and unmet needs in Japan to join global development from an early stage. In addition, further efforts to attract emerging biopharmaceutical companies to Japan from the regulatory and/or political perspectives would be needed, thereby preventing drug lag in Japan.

Different Development Strategies Affecting Japan's Drug lag between Japan-Based and Foreign-Based Companies.

We examined the development strategies of new molecular entities approved during a 10-year period (fiscal years of 2012-2021) in Japan to determine the differences in drug lag between Japan and foreign companies. The results demonstrated a clear difference in development strategies. For example, products were usually developed through a "only-Japan" strategy by Japan companies (51.1% of products), compared to a "MRCT (multi-regional clinical trials)" strategy by foreign companies (54.9% of products). Regarding types of licenses, for Japan companies, the percentage of original products was higher in the category of less drug lag, such as "no approval in the US and EU" (59.1%), whereas the percentage of "license-in" products was markedly higher in the "drug lag ≥ 5 years" category (52.5%). Such differences were not observed for products developed by foreign companies. Of 64 license-in products developed by Japan companies with a drug lag > 5 years, 51 (79.7%) had already been approved in the US or EU at initiation of clinical development in Japan. The origin of approximately half (34) of the products was from the emerging companies (non-member foreign companies of the Japan Pharmaceutical Manufacture Association). These results suggest that more global cooperation of Japan companies, particularly with emerging foreign companies, is necessary in terms of the earlier timing of license-in and development strategies of products to promote drug development without drug lag or drug loss in Japan.

Regional consistency assessment in multiregional clinical trials

ABSTRACT Multiregional clinical trials (MRCTs) have become a favored strategy for new drug development. The accurate evaluation of treatment effects across different regions is crucial for interpreting the results of MRCTs. Consistency between regional and overall results ensures the extrapolability of the overall conclusions to individual regions. While numerous statistical methods have been proposed for consistency assessment, a notable proportion necessitate a substantial escalation in sample size, particularly in scenarios involving more than four regions within MRCTs. This, paradoxically, undermines the fundamental intent of MRCTs. In addition, standardized statistical criteria for concluding consistency are yet to be established. In this paper, we develop further consistency assessment approaches in the framework of two multivariate likelihood ratio test-based methods, namely mLRTa and mLRTb, wherein consistency is cast as the alternative and null hypotheses. Notably, our exploration unveils that qualitative methods such as the funnel approach and PMDA methods are special instances of mLRTa. Furthermore, our work underscores that these three qualitative methodologies roughly share the same level of assurance probability (AP). Intriguingly, when the number of regions in an MRCT surpasses five, even when the overall sample size guarantees a power of 90% or more and the true treatment effects remain uniform across regions, the AP remains below the 70% mark. Drawing from our meticulous examination of operational attributes, we recommend mLRTa with positive treatment effects in all regions in the alternative hypothesis with significance level 0.5 or mLRTb with all regional treatment effects being equal in the null and significance level of 0.2.

A Bayesian approach based on discounting factor for consistency assessment in multi-regional clinical trial

ABSTRACT Multi-regional clinical trial (MRCT) has become an increasing trend for its supporting simultaneous global drug development. After MRCT, consistency assessment needs to be conducted to evaluate regional efficacy. The weighted Z-test approach is a common consistency assessment approach in which the weighting parameter W does not have a good practical significance; the discounting factor approach improved from the weighted Z-test approach by converting the estimation of W in original weighted Z-test approach to the estimation of discounting factor D. However, the discounting factor approach is an approach of frequency statistics, in which D was fixed as a certain value; the variation of D was not considered, which may lead to un-reasonable results. In this paper, we proposed a Bayesian approach based on D to evaluate the treatment effect for the target region in MRCT, in which the variation of D was considered. Specifically, we first took D random instead of fixed as a certain value and specified a beta distribution for it. According to the results of simulation, we further adjusted the Bayesian approach. The application of the proposed approach was illustrated by Markov Chain Monte Carlo simulation.

The Impact of Regulatory Reforms in China on Drug Lag: The Role of Clinical Development Strategies.

In recent years, there has been significant focus on China's new drug lag, but relevant research is limited. This study explores the reasons for drug lag by assessing the impact of reforms in China's drug review system, particularly focusing on the influence of clinical development strategies. This study selected drugs first launched in the United States between 2017 and 2022, examining absolute and relative lag between China and the first-launch country (including submission and review lag). These delays with drugs approved in the European Union and Japan during the same period were compared with uncover the roots of delays in China, further identifying potential factors that could reduce these delays. The results indicate that the National Medical Products Administration (NMPA) has a longer relative lag compared with the European Medicines Agency (EMA) and the Pharmaceuticals and Medical Devices Agency (PMDA). The submission lag time of the NMPA significantly surpasses that of the EMA and PMDA, whereas the review lag time of the NMPA exceeds that of the PMDA but falls short of the EMA. Focusing on clinical trial strategies, bridging trials and multiregional clinical trials (MRCTs) are typically required by the NMPA in East Asia, resulting in longer clinical delay time. Whereas the EMA and PMDA primarily require international MRCTs in Europe and America, with a clinical delay of < 5 months. It is evident that there is a significant gap in clinical trial durations between China and other countries. Further optimization of clinical trial management is necessary to address the lag for new drugs in China.

Asia-Inclusive Global Development of Enpatoran: Results of an Ethno-Bridging Study, Intrinsic/Extrinsic Factor Assessments and Disease Trajectory Modeling to Inform Design of a Phase II Multiregional Clinical Trial.

Enpatoran is a novel, highly selective, and potent dual toll-like receptor (TLR)7 and TLR8 inhibitor currently under development for the treatment of autoimmune disorders including systemic lupus erythematosus (SLE), cutaneous lupus erythematosus (CLE), and myositis. The ongoing phase II study (WILLOW; NCT05162586) is evaluating enpatoran for 24 weeks in patients with active SLE or CLE and is currently recruiting. To support development of WILLOW as an Asia-inclusive multiregional clinical trial (MRCT) according to International Conference on Harmonisation E5 and E17 principles, we have evaluated ethnic sensitivity to enpatoran based on clinical pharmacokinetic (PK), pharmacodynamic (PD), and safety data from an ethno-bridging study (NCT04880213), supplemented by relevant quantitative PK, PD, and disease trajectory modeling (DTM) results, and drug metabolism/disease knowledge. A single-center, open-label, sequential dose group study in White and Japanese subjects matched by body weight, height, and sex demonstrated comparable PK and PD properties for enpatoran in Asian vs. non-Asian (White and other) subjects across single 100, 200, and 300 mg orally administered doses. DTM suggested no significant differences in SLE disease trajectory for Asian vs. non-Asian individuals. Aldehyde oxidase (AOX) is considered to be a key contributor to enpatoran metabolism, and a literature review indicated no relevant ethnic differences in AOX function based on in vitro and clinical PK data from marketed drugs metabolized by AOX, supporting the conclusion of low ethnic sensitivity for enpatoran. Taken together, the inclusion of Asian patients in MRCTs including WILLOW was informed based on a Totality of Evidence approach.

Nonparametric Approach for Calculating Japanese Sample Size in Multi-regional Clinical Trials

Nonparametric Approach for Calculating Japanese Sample Size in Multi-regional Clinical Trials

Implementation status and consideration for the globalisation of decentralised clinical trials: a cross-sectional analysis of clinical trial databases

ObjectiveTo comprehensively elucidate the current landscape of decentralised clinical trials (DCTs) and identify notable aspects that can facilitate DCT implementation.DesignCross-sectional analysis.SettingData were extracted using selected DCT-specific search terms on 4...

Bayesian joint models for multi-regional clinical trials.

In recent years, multi-regional clinical trials (MRCTs) have increased in popularity in the pharmaceutical industry due to their ability to accelerate the global drug development process. To address potential challenges with MRCTs, the International Council for Harmonisation released the E17 guidance document which suggests the use of statistical methods that utilize information borrowing across regions if regional sample sizes are small. We develop an approach that allows for information borrowing via Bayesian model averaging in the context of a joint analysis of survival and longitudinal data from MRCTs. In this novel application of joint models to MRCTs, we use Laplace's method to integrate over subject-specific random effects and to approximate posterior distributions for region-specific treatment effects on the time-to-event outcome. Through simulation studies, we demonstrate that the joint modeling approach can result in an increased rejection rate when testing the global treatment effect compared with methods that analyze survival data alone. We then apply the proposed approach to data from a cardiovascular outcomes MRCT.

Using eConsent to improve patient comprehension and solving issues for introduction, with special attention to the COVID-19 pandemic: A questionnaire survey by the Japan Pharmaceutical Manufacturers Association

The environment surrounding clinical trials is evolving rapidly with the advancement of digital transformation (DX). Especially during the COVID-19 pandemic, digital methods are effective in promoting multiregional clinical trials (MRCT). eConsent is an electronic tool for obtaining informed consent that is expected as a key solution to improve patient understanding. According to the report by Pietrzykowski et al., patient understanding in clinical trials is surprisingly low, and this is a significant ethical problem. Despite the current situation, the use of eConsent has not significantly progressed at least in Japan. This study aimed to identify the current issues for eConsent and consider measures to solve them. In January 2022, an online questionnaire survey was sent to 69 member companies of the Japan Pharmaceutical Manufacturers Association (JPMA), and 52 companies (75.4%) responded. Thirteen companies (25.0%) conducted a trial using eConsent. Among the 13 companies, 17 trials were conducted by 8 companies after the COVID-19 pandemic (summer 2020), compared to 8 trials by 5 companies before the pandemic. We found that the biggest obstacles to the spread of eConsent are the lack of awareness of eConsent use and the development of provisions for treating electronic files as source records in medical institutions. In conclusion, we need to encourage medical institutions to update provisions for handling electronic source documents and to notify them of the importance of eConsent. Thus, further promotion of eConsent is needed to increase patient understanding and enable more efficient clinical trials.

Characteristics of Asian Participation in Multi-regional Clinical Trials Reviewed for Drug Approval in Japan: Opportunities for Collaboration Between South-East Asia, East Asia, and Japan.

Although the percentage of multi-regional clinical trials (MRCTs) submitted for drug approval in Japan increased significantly since the 2007 publication of the regulatory guideline, "Basic principles on global clinical trials", strategic collaborations between Asian countries will be important to promote MRCTs in accordance with the ICH E17 guideline published in 2017. In this study, characteristics of MRCTs reviewed for drug approval in Japan, especially those with participation by South-East Asia and East Asia, were investigated to explore opportunities for collaborations on global drug development in Asia. More than 90% of reviewed trials were conducted as global MRCTs. In addition to Japan, South-East Asia has participated in various types of MRCTs in terms of total numbers of subjects and countries. However, South-East Asia participation was lower in large-size MRCTs (total sample size ≥ 1000) than in middle- (500 ≤ total sample size < 1000) and small-size MRCTs (total sample size < 500). Furthermore, similar clinical trials for the same indications to the MRCTs without South-East Asia were rarely conducted separately in South-East Asia. Participation of other Asian countries did not affect the percentage of Japanese subjects enrolled in an MRCT, but did significantly increase the percentage of participating Asian subjects. These results suggest that additional opportunities for collaboration on MRCTs may be possible between Japan and other Asian countries, especially more collaborations with South-East Asia in the large-size MRCTs. More data of Asian populations from MRCTs will be useful for exploring an important ethnic factor affecting drug response, and will provide a sound scientific basis in considering the application of the pooled data concept in Asia, as described in the ICH E17 guideline.