Implementing Modernized Eligibility Criteria in US National Cancer Institute Clinical Trials

Tumor-agnostic baskets to N-of-1 platform trials and real-world data: Transforming precision oncology clinical trial design

Choosing the right drug(s) for the right patient via advanced genomic sequencing and multi-omic interrogation is the sine qua non of precision cancer medicine. Traditional cancer clinical trial designs follow well-defined protocols to evaluate the efficacy of new therapies in patient groups, usually identified by their histology/tissue of origin of their malignancy. In contrast, precision medicine seeks to optimize benefit in individual patients, i.e., to define who benefits rather than determine whether the overall group benefits. Since cancer is a disease driven by molecular alterations, innovative trial designs, including biomarker-defined tumor-agnostic basket trials, are driving ground-breaking regulatory approvals and deployment of gene- and immune-targeted drugs. Molecular interrogation further reveals the disruptive reality that advanced cancers are extraordinarily complex and individually distinct. Therefore, optimized treatment often requires drug combinations and N-of-1 customization, addressed by a new generation of N-of-1 trials. Real-world data and structured master registry trials are also providing massive datasets that are further fueling a transformation in oncology. Finally, machine learning is facilitating rapid discovery, and it is plausible that high-throughput computing, in silico modeling, and 3-dimensional printing may be exploitable in the near future to discover and design customized drugs in real time.

The Targeted Agent and Profiling Utilization Registry Study: A pragmatic clinical trial

The conceptual framework of pragmatism in clinical trials is explored using the American Society of Clinical Oncology's pragmatic, non-randomized, phase II, multi-center basket clinical trial, the Targeted Agent and Profiling Utilization Registry Study (NCT02693535) as a model. The Targeted Agent and Profiling Utilization Registry Study aims to identify signals of drug activity when Food and Drug Administration approved drugs are matched to pre-specified genomic targets in patients with advanced cancer outside of their approved indication(s). The objectives of the study are to generate evidence of potential signals of activity in targeted therapies prescribed in an off-label setting as well as to expose and educate community cancer centers to genomic testing and precision medicine through the study protocol. The principles of pragmatic trial design can be applied across a broad spectrum of evidence-generation strategies, from explanatory trials to real-world evidence studies, and are briefly discussed. American Society of Clinical Oncology's Targeted Agent and Profiling Utilization Registry Study falls closer to the pragmatic end of this spectrum as it seeks to assess the efficacy of Food and Drug Administration approved drugs used outside their approved indications under usual care conditions, yielding results generalizable to the population that would likely receive the intervention in practice, while still adhering to rigorous data quality standards. The Targeted Agent and Profiling Utilization Registry Study's pragmatic objectives, characteristics, strengths, and limitations in its implementation are discussed and demonstrate that a large, multi-center, precision medicine basket trial can be mounted in the context of community practice and can generate clinically useful information with minimal burden to patients and clinical trial sites.

From Race to Racism and Disparities to Equity: An Actionable Biopsychosocial Approach to Breast Cancer Outcomes

PURPOSE

Racial disparities in outcomes of breast cancer in the United States have widened over more than 3 decades, driven by complex biologic and social factors. In this review, we summarize the biological and social narratives that have shaped breast cancer disparities research across different scientific disciplines in the past, explore the underappreciated but crucial ways in which these 2 strands of the breast cancer story are interwoven, and present 5 key strategies for creating transformative interdisciplinary research to achieve equity in breast cancer treatment and outcomes.

DESIGN

We first review the key differences in tumor biology in the United States between patients racialized as Black versus White, including the overrepresentation of triple-negative breast cancer and differences in tumor histologic and molecular features by race for hormone-sensitive disease. We then summarize key social factors at the interpersonal, institutional, and social structural levels that drive inequitable treatment. Next, we explore how biologic and social determinants are interwoven and interactive, including historical and contemporary structural factors that shape the overrepresentation of triple-negative breast cancer among Black Americans, racial differences in tumor microenvironment, and the complex interplay of biologic and social drivers of difference in outcomes of hormone receptor positive disease, including utilization and effectiveness of endocrine therapies and the role of obesity. Finally, we present 5 principles to increase the impact and productivity of breast cancer equity research.

RESULTS

We find that social and biologic drivers of breast cancer disparities are often cyclical and are found at all levels of scientific investigation from cells to society. To break the cycle and effect change, we must acknowledge and measure the role of structural racism in breast cancer outcomes; frame biologic, psychosocial, and access factors as interwoven via mechanisms of cumulative stress, inflammation, and immune modulation; take responsibility for the impact of representativeness (or the lack thereof) in genomic and decision modeling on the ability to accurately predict the outcomes of Black patients; create research that incorporates the perspectives of people of color from inception to implementation; and rigorously evaluate innovations in equitable cancer care delivery and health policies.

CONCLUSIONS

Innovative, cross-disciplinary research across the biologic and social sciences is crucial to understanding and eliminating disparities in breast cancer outcomes.

An Updated Report on the Prevalence of Prior Cancer Among Persons Newly Diagnosed With Cancer in the Surveillance, Epidemiology, and End Results Program

This cohort study uses population-based data from the National Cancer Institute Surveillance, Epidemiology, and End Results program of cancer registries to estimate prevalence of prior cancer among adults diagnosed with an incident cancer in 2019.