A Patient Focused Solution for Enrolling Clinical Trials in Rare and Selective Cancer Indications: A Landscape of Haystacks and Needles

Basket Trials: Past, Present, and Future

Large-scale tumor molecular profiling has revealed that diverse cancer histologies are driven by common pathways with unifying biomarkers that can be exploited therapeutically. Disease-agnostic basket trials have been increasingly utilized to test biomarker-driven therapies across cancer types. These trials have led to drug approvals and improved the lives of patients while simultaneously advancing our understanding of cancer biology. This review focuses on the practicalities of implementing basket trials, with an emphasis on molecularly targeted trials. We examine the biologic subtleties of genomic biomarker and patient selection, discuss previous successes in drug development facilitated by basket trials, describe certain novel targets and drugs, and emphasize practical considerations for participant recruitment and study design. This review also highlights strategies for aiding patient access to basket trials. As basket trials become more common, steps to ensure equitable implementation of these studies will be critical for molecularly targeted drug development.

Exploring Barriers to Pediatric Cancer Clinical Trials: The Role of a Networked, Just-in-Time Study Program

The Research to Accelerate Cures and Equity (RACE) for Children Act mandates that newly developed targeted oncology drugs be tested in children when molecular targets are relevant to pediatric cancers. In its first year, the RACE for Children Act was effective in creating novel drug development opportunities for children with cancer; however, significant barriers to clinical trial enrollment persist. Pediatric cancer clinical trials are impacted by challenges surrounding logistics, complexity, and access. As such, there is potential for a networked and centralized study approach to address these barriers. Here we discuss adapting a just-in-time clinical trial approach for adults to serve the pediatric oncology population. Through innovative patient matching solutions leveraging large, real-world datasets with high computational power, the Tempus Integrated Molecular Evaluation (TIME) for Kids Program aims to address barriers in the development of new therapies. This commentary explores the potential for reducing challenges in developing novel pediatric therapeutics, advancing equity in genomic biomarker testing for precision tailored treatment, and improving outcomes for pediatric oncology patients.

Cost-effectiveness of social media advertising as a recruitment tool: A systematic review and meta-analysis

Background

Recruitment of study participants is challenging and can incur significant costs. Social media advertising is a promising method for recruiting clinical studies and may improve cost efficiency by targeting populations likely to match a study's qualifications. Prior systematic reviews of social media as a recruitment tool have been favourable, however, there are no meta-analyses of its cost-effectiveness.

Methods

Studies evaluating recruitment costs through social media and non-social media methods were identified on MEDLINE and EMBASE. Articles were screened through a two-step process in accordance with PRISMA guidelines. Cost data were extracted from selected articles and meta-analyzed using the Mantel-Haenszel method. The primary outcome was the relative cost-effectiveness of social media compared to non-social media recruitment, defined as the odds ratio of recruiting a participant per US dollar spent. The secondary outcome was the cost-effectiveness of social media recruitment compared to other online recruitment methods only.

Results

In total, 23 studies were included in the meta-analysis. The odds ratio of recruiting a participant through social media advertising compared to non-social media methods per dollar spent was 1.97 [95% CI 1.24-3.00, P = 0.004]. The odds ratio of recruiting a participant through social media compared to other online methods only was 1.66 [95% CI 1.02-2.72, P = 0.04].

Conclusions

Social media advertising may be more cost-effective than other methods of recruitment, however, the magnitude of cost-effectiveness is highly variable between studies. There are limited data on newer social media platforms and on difficult-to-reach populations such as non-English speakers or older individuals.

Comparison of Web-Based Advertising and a Social Media Platform as Recruitment Tools for Underserved and Hard-to-Reach Populations in Rheumatology Clinical Research

Objective

Traditional nondigital methods of participant recruitment for clinical research studies in rheumatology can be costly and inefficient, particularly for recruitment of underserved populations. We aimed to address this need by evaluating two methods of online recruitment to an observational cohort of individuals at risk for rheumatoid arthritis, namely web and Facebook advertisements.

Methods

A 3‐month countywide web‐based recruitment campaign was conducted consisting of text and image‐based advertisements. Similar advertisements were subsequently displayed on Facebook, initially in English for 5 months and later in Spanish for an additional 3 months. Individuals who clicked on advertisements were directed to a website landing page containing study information and could contact study personnel to schedule testing for anti‐cyclic citrullinated peptide‐3 (CCP3). The primary outcome measure for each campaign was the click‐through rate.

Results

During the web campaign, 413,289 advertisement impressions were displayed, resulting in 428 clicks (click‐through rate 0.10%) and only one screened participant. During the English Facebook campaign, 724,815 advertisements were displayed with 6765 clicks (click‐through rate 0.93%) and 43 screened participants, significantly greater than the web campaign (P < 0.001). During the Spanish advertisement campaign, 255,730 Spanish advertisements were displayed, resulting in a click‐through rate of 2.09% and 24 screened participants, a significantly higher rate than English advertisements. Of participants recruited through social media, 94% were female and 29.8% were Spanish speakers.

Conclusion

Facebook advertisements were superior to web advertisements for participant recruitment. Spanish Facebook advertisements had a greater click‐through rate than English Facebook advertisements. Facebook was an effective recruitment method, particularly for Spanish speakers.

Conducting clinical trials-costs, impacts, and the value of clinical trials networks: A scoping review

BACKGROUND

A significant barrier to conducting clinical trials is their high cost, which is driven primarily by the time and resources required to activate trials and reach accrual targets. The high cost of running trials has a substantial impact on their long-term feasibility and the type of clinical research undertaken.

METHODS

A scoping review of the empirical literature on the costs associated with conducting clinical trials was undertaken for the years 2001-2015. Five reference databases were consulted to elicit how trials costs are presented in the literature. A review instrument was developed to extract the content of in-scope papers. Findings were characterized by date and place of publication, clinical disease area, and network/cooperative group designation, when specified. Costs were captured and grouped by patient accrual and management, infrastructure, and the opportunity costs associated with industry funding for trials research. Cost impacts on translational research and health systems were also captured, as were recommendations to reduce trial expenditures. Since articles often cited multiple costs, multiple cost coding was used during data extraction to capture the range and frequency of costs.

RESULTS

A total of 288 empirical articles were included. The distribution of reported costs was: patient management and accrual costs (132 articles), infrastructure costs (118 articles) and the opportunity costs of industry sponsorship (72 articles). 221 articles reported on the impact of undertaking costly trials on translational research and health systems; of these, the most frequently reported consequences were to research integrity (52% of articles), research capacity (36% of articles) and running low-value trials (34% of articles). 254 articles provided recommendations to reduce trial costs; of these, the most frequently reported recommendations related to improvements in: operational efficiencies (33% of articles); patient accrual (24% of articles); funding for trials and transparency in trials reporting (18% of articles, each).

CONCLUSION

Key findings from the review are: 1) delayed trial activation has costs to budgets and research; 2) poor accrual leads to low-value trials and wasted resources; 3) the pharmaceutical industry can be a pragmatic, if problematic, partner in clinical research; 4) organizational know-how and successful research collaboration are benefits of network/cooperative groups; and 5) there are spillover benefits of clinical trials to healthcare systems, including better health outcomes, enhanced research capacity, and drug cost avoidance. There is a need for more economic evaluations of the benefits of clinical research, such as health system use (or avoidance) and health outcomes in cities and health authorities with institutions that conduct clinical research, to demonstrate the affordability of clinical trials, despite their high cost.

Delivering Precision Oncology in a Community Cancer Program: Results From a Prospective Observational Study

Introduction

Precision oncology (PO) is a growing treatment approach in the era of next-generation sequencing (NGS) and matched therapies. Effective delivery of PO in the community has not been extensively studied. Our program developed a virtual molecular tumor board (MTB) strategy to help guide PO care.

Materials and Methods

Over 18 months, eligible adult patients with advanced, incurable solid tumor malignancies were enrolled in a molecular profiling (MP) study using the Foundation Medicine NGS panel. Results were reviewed through a weekly, videoconferenced MTB conducted across our largely rural integrated health system. Recommendations from the MTB were used to identify actionable alterations (AAs). Feasibility of PO care delivery was assessed as the primary outcome. Secondary outcomes included the frequency of AAs, genomic matched treatments, genomic matched clinical trial enrollment, and clinical outcomes.

Results

A total of 120 participants with a variety of advanced tumor types were enrolled. Of these, 109 (90.8%) had successful MP. Treatment on the basis of an AA was recommended by the MTB in 58% of patients (63 of 109) who had a successful MP result. For those completing MP, treatments included enrollment in a genomic matched clinical trial (n = 16; 14.6%) and genomic matched treatment with a Food and Drug Administration–approved agent (n = 23; 21.1%). Response and survival data were similar regardless of the matched treatment option chosen.

Conclusion

A video-conferenced MTB-facilitated NGS testing and treatment delivery system was implemented in our integrated community oncology program. Continued use of this model aims to increase understanding of the impact of PO in this setting.

Signature program: a platform of basket trials

Investigating targeted therapies can be challenging due to diverse tumor mutations and slow patient accrual for clinical studies. The Signature Program is a series of 8 phase 2, agent-specific basket protocols using a rapid study start-up approach involving no predetermined study sites. Each protocol evaluated 1 agent (buparlisib, dovitinib, binimetinib, encorafenib, sonidegib, BGJ398, ceritinib, or ribociclib) in patients with solid or hematologic malignancies and an actionable mutation. The primary endpoint of each study was the clinical benefit rate (ie, complete or partial response, or stable disease) at 16 weeks. A total of 192 individual sites were opened in the United States, with a median start-up time of 3.6 weeks. The most common tumor types among the 595 treated patients were colorectal (9.2%), non-small cell lung adenocarcinoma (9.1%), and ovarian (8.4%). Frequent genetic alterations were in PIK3CA, RAS, p16, and PTEN. Overall, 30 partial or complete responses were observed with 6 compounds in 16 tumor types. The Signature Program presents a unique and successful approach for rapid signal finding across multiple tumors and allowed various agents to be evaluated in patients with rare alterations. Incorporating these program features in conventional studies could lead to improved trial efficiencies and patient outcomes.

Basket Studies: Redefining Clinical Trials in the Era of Genome-Driven Oncology

Understanding a tumor's detailed molecular profile has become increasingly necessary to deliver the standard of care for patients with advanced cancer. Innovations in both tumor genomic sequencing technology and the development of drugs that target molecular alterations have fueled recent gains in genome-driven oncology care. "Basket studies," or histology-agnostic clinical trials in genomically selected patients, represent one important research tool to continue making progress in this field. We review key aspects of genome-driven oncology care, including the purpose and utility of basket studies, biostatistical considerations in trial design, genomic knowledgebase development, and patient matching and enrollment models, which are critical for translating our genomic knowledge into clinically meaningful outcomes.

Computational drug repositioning for rare diseases in the era of precision medicine

There are tremendous unmet needs in drug development for rare diseases. Computational drug repositioning is a promising approach and has been successfully applied to the development of treatments for diseases. However, how to utilize this knowledge and effectively conduct and implement computational drug repositioning approaches for rare disease therapies is still an open issue. Here, we focus on the means of utilizing accumulated genomic data for accelerating and facilitating drug repositioning for rare diseases. First, we summarize the current genome landscape of rare diseases. Second, we propose several promising bioinformatics approaches and pipelines for computational drug repositioning for rare diseases. Finally, we discuss recent regulatory incentives and other enablers in rare disease drug development and outline the remaining challenges.

Ethical considerations of neuro-oncology trial design in the era of precision medicine

The field of oncology is currently undergoing a paradigm shift. Advances in the understanding of tumor biology and in tumor sequencing technology have contributed to the shift towards precision medicine, the therapeutic framework of targeting the individual oncogenic changes each tumor harbors. The success of precision medicine therapies, such as targeted kinase inhibitors and immunotherapies, in other cancers have motivated studies in brain cancers. The high specificity and cost of these therapies also encourage a shift in clinical trial design away from randomized control trials towards smaller, more exclusive early phase clinical trials. While these new trials advance the clinical application of increasingly precise and individualized therapies, their design brings ethical challenges . We review the pertinent ethical considerations for clinical trials of precision medicine in neuro-oncology and discuss methods to protect patients in this new era of trial design.