Novel Study Designs in Precision Medicine - Basket, Umbrella and Platform Trials

Assessment of Nursing Workload and Complexity Associated with Oncology Clinical Trials: A Scoping Review

OBJECTIVES

Clinical trials (CTs) play a crucial role in advancing medical knowledge and patient care but are increasingly complex and resource-intensive. This scoping review aims to explore the current approaches for evaluating workload (WL) in oncology CTs and identify tools for measuring clinical research nurses' WL.

METHODS

The search was conducted through MEDLINE, Scopus, CINAHL, and COCHRANE databases and carried out through the framework developed by Arksey and O'Malley and revised by the Joanna Briggs Institute. Data extraction and synthesis were performed to analyze instruments used for WL assessment and their dimensions.

RESULTS

Of the 1,005 records identified, 12 meet the inclusion criteria. The complexity and WL associated with CTs can be attributed to five main domains: (1) protocol, (2) single case, (3) data management, (4) regulatory, and (5) worker-related. These instruments varied in their approaches, scoring systems, and domains assessed. Notably, the protocol-related domain was prevalent across most instruments, highlighting its importance in WL evaluation. Furthermore, findings revealed a wide range of WL scores across different studies, emphasizing the complexity and variability in WL management within CTs.

CONCLUSIONS

This scoping review underscores the importance of evaluating WL in CTs and provides insights into existing tools and approaches. Nurses, as integral members of clinical research teams, bear significant responsibilities in trial management, necessitating a balanced approach to WL allocation. Future research should focus on validating and standardizing assessment tools to optimize resource allocation and enhance research efficiency in CT centers.

IMPLICATIONS FOR NURSING PRACTICE

Understanding WL dynamics in CTs is essential for nurses involved in research delivery. By utilizing validated WL assessment tools, nurses can advocate for appropriate staffing levels and promote efficient trial management, ultimately improving patient outcomes and research quality in CT settings.

New clinical trial design in precision medicine: discovery, development and direction

In the era of precision medicine, it has been increasingly recognized that individuals with a certain disease are complex and different from each other. Due to the underestimation of the significant heterogeneity across participants in traditional "one-size-fits-all" trials, patient-centered trials that could provide optimal therapy customization to individuals with specific biomarkers were developed including the basket, umbrella, and platform trial designs under the master protocol framework. In recent years, the successive FDA approval of indications based on biomarker-guided master protocol designs has demonstrated that these new clinical trials are ushering in tremendous opportunities. Despite the rapid increase in the number of basket, umbrella, and platform trials, the current clinical and research understanding of these new trial designs, as compared with traditional trial designs, remains limited. The majority of the research focuses on methodologies, and there is a lack of in-depth insight concerning the underlying biological logic of these new clinical trial designs. Therefore, we provide this comprehensive review of the discovery and development of basket, umbrella, and platform trials and their underlying logic from the perspective of precision medicine. Meanwhile, we discuss future directions on the potential development of these new clinical design in view of the "Precision Pro", "Dynamic Precision", and "Intelligent Precision". This review would assist trial-related researchers to enhance the innovation and feasibility of clinical trial designs by expounding the underlying logic, which be essential to accelerate the progression of precision medicine.

Proteomic and Metabolomic Signatures of Diet Quality in Young Adults

The assessment of "omics" signatures may contribute to personalized medicine and precision nutrition. However, the existing literature is still limited in the homogeneity of participants' characteristics and in limited assessments of integrated omics layers. Our objective was to use post-prandial metabolomics and fasting proteomics to identify biological pathways and functions associated with diet quality in a population of primarily Hispanic young adults. We conducted protein and metabolite-wide association studies and functional pathway analyses to assess the relationships between a priori diet indices, Healthy Eating Index-2015 (HEI) and Dietary Approaches to Stop Hypertension (DASH) diets, and proteins (n = 346) and untargeted metabolites (n = 23,173), using data from the MetaAIR study (n = 154, 61% Hispanic). Analyses were performed for each diet quality index separately, adjusting for demographics and BMI. Five proteins (ACY1, ADH4, AGXT, GSTA1, F7) and six metabolites (undecylenic acid, betaine, hyodeoxycholic acid, stearidonic acid, iprovalicarb, pyracarbolid) were associated with both diets (p < 0.05), though none were significant after adjustment for multiple comparisons. Overlapping proteins are involved in lipid and amino acid metabolism and in hemostasis, while overlapping metabolites include amino acid derivatives, bile acids, fatty acids, and pesticides. Enriched biological pathways were involved in macronutrient metabolism, immune function, and oxidative stress. These findings in young Hispanic adults contribute to efforts to develop precision nutrition and medicine for diverse populations.

Clinical Trial Authorisation: A Final Look Back to Better Appraise the New European Regulation

The implementation of the new European Clinical Trial Regulation on 31 January 2022, is a major step to promote clinical research in Europe. The French National Agency for Medicines and Health Products Safety (ANSM) proposes to share some key aspects of the preparation for the application of the Regulation initiated in 2017 and to discuss shared indicators that should be considered to monitor clinical trials opportunities on a territory with regards to access to innovation for patients and attractiveness for sponsors. New criteria based on the time from the first request for authorisation to the first inclusion could be of particular interest to appraise the implementation of the European Clinical Trial Regulation.

Diagnostic Validation of a Comprehensive Targeted Panel for Broad Mutational and Biomarker Analysis in Solid Tumors

The use of targeted Next Generation Sequencing (NGS) for the diagnostic screening of somatic variants in solid tumor samples has proven its high clinical value. Because of the large number of ongoing clinical trials for a multitude of variants in a growing number of genes, as well as the detection of proven and emerging pan-cancer biomarkers including microsatellite instability (MSI) and tumor mutation burden (TMB), the currently employed diagnostic gene panels will become vastly insufficient in the near future. Here, we describe the validation and implementation of the hybrid capture-based comprehensive TruSight Oncology (TSO500) assay that is able to detect single-nucleotide variants (SNVs) and subtle deletions and insertions (indels) in 523 tumor-associated genes, copy-number variants (CNVs) of 69 genes, fusions with 55 cancer driver genes, and MSI and TMB. Extensive validation of the TSO500 assay was performed on DNA or RNA from 170 clinical samples with neoplastic content down to 10%, using multiple tissue and specimen types. Starting with 80 ng DNA and 40 ng RNA extracted from formalin-fixed and paraffine-embedded (FFPE) samples revealed a precision and accuracy >99% for all variant types. The analytical sensitivity and specificity were at least 99% for SNVs, indels, CNVs, MSI, and gene rearrangements. For TMB, only values around the threshold could yield a deviating outcome. The limit-of-detection for SNVs and indels was well below the set threshold of 5% variant allele frequency (VAF). This validated comprehensive genomic profiling assay was then used to screen 624 diagnostic samples, and its success rate for adoption in a clinical diagnostic setting of broad solid tumor screening was assessed on this cohort.

Clinical Pharmacology in Drug Development for Rare Diseases in Neurology: Contributions and Opportunities

Several challenges are associated with rare disease drug development in neurology. In this article, we summarize the US Food and Drug Administration's experience with clinical drug development for rare neurological diseases and discuss clinical pharmacology's critical contributions to drug development for rare diseases. We used publicly available information to identify and screen drug products approved for rare neurological indications between 1983 and 2019. We highlighted cases in which clinical pharmacology contributed to the evidence of drug efficacy, dose selection for pivotal clinical trials, dose optimization based on intrinsic and extrinsic factors, pharmacokinetic bridging for formulations, and efficacy bridging across different racial groups. Fifty-one approved drug products were identified since the introduction of the Orphan Drug Act in 1983. Interestingly, the number of approvals in the last few years increased significantly, probably due to advances in genomic research and targeted drug modalities. Evaluation of dose selection in patient populations showed that in 52% of cases, the sponsors did not evaluate efficacy for more than one or two dose levels throughout the development program. Clinical pharmacology studies to evaluate the effect of intrinsic or extrinsic factors were adequately characterized in most of the applications. With the expansion of model informed drug development applications, (e.g., quantitative systems pharmacology and deep learning neural network models), the role and impact of clinical pharmacology is expected to grow exponentially in the next decade and enhance the development of novel treatment modalities for neurological rare diseases.