Treatment Of Rare Diseases Research Articles

Abstract I008: Antisense Oligonucleotides as Therapeutics for Difficult-to-Drug Targets in Oncology

Abstract Many potential oncology targets are difficult to modulate by conventional classes of agents. Interfering with these targets at the level of RNA is a novel approach for difficult-to target proteins, as well as for non-coding RNAs, emerging targets that are part of the “dark matter’ of the genome. Antisense oligonucleotide (ASO) therapeutics are short sequences of 12- 30 DNA/RNA residues, designed to bind the cognate transcribed RNA. The ASO is chemically modified to increase stability, improve binding affinity, optimize pharmacokinetic properties and reduce immunostimulatory potential. The hybridization of ASO to cognate RNA results in cleavage of bound RNA by RNAse H1 and subsequent degradation. Several ASOs are marketed for treatment of rare diseases, but to date none have been approved for oncology indications. The long-noncoding RNA (lncRNA) MALAT1 is an example of an oncology target uniquely suited for an ASO therapeutic. This lncRNA is not translated and resides mostly in the nucleus, limiting access for most therapeutic approaches. MALAT1 is highly upregulated in various cancers, appears to play a role in epithelial to mesenchymal transition, and is associated with disease progression in patients. Inhibition of MALAT1 in preclinical breast cancer models, either genetic or pharmacologic using a murine ASO, leads to changes in tumor architecture and reduction in metastasis. FLM-7523 is a 16-mer ASO designed to bind to human MALAT1. It is a generation 2.5 design based on the constrained ethyl (cEt) modification to the 3 residues on the 3’ and 5’ ends of the ASO, and administered in a saline solution without any delivery vehicle. Preclinical studies have shown that FLM-7523 effectively inhibits MALAT1 expression in in vitro and in vivo models, and GLP toxicology studies have been completed to support a First-in-Human clinical trial. The signal transduction molecule STAT3 is another oncology target of interest that has, to date, been difficult to modulate. Danvatirsen is a 16-mer generation 2.5 ASO targeting human STAT3 mRNA and is currently in clinical trials. Preclinical in vivo studies in murine tumor models have demonstrated a reduction in STAT3 mRNA and protein following treatment with a STAT3 targeting ASO, along with tumor growth inhibition. Combination treatments with immune checkpoint inhibitors, including anti-PD-1 and anti-PD-L1, demonstrate improved tumor growth inhibition relative to monotherapy. In clinical trials, tumor uptake of danvatirsen is observed in post-treatment biopsies, with corresponding reduction in STAT3 protein. Danvatirsen is generally well tolerated with the most common adverse events being increased liver function tests and decreased myeloid hematologic parameters, both of which are easily monitored, manageable, and reversible. Clinical responses have been observed with the most robust being in combination with a PD-L1 inhibitor in recurrent/metastatic head and neck squamous cell carcinoma. In conclusion, ASOs are novel therapies that can inhibit oncology targets not tractable by traditional approaches. Citation Format: Andrew Denker. Antisense Oligonucleotides as Therapeutics for Difficult-to-Drug Targets in Oncology [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: RNAs as Drivers, Targets, and Therapeutics in Cancer; 2024 Nov 14-17; Bellevue, Washington. Philadelphia (PA): AACR; Mol Cancer Ther 2024;23(11_Suppl):Abstract nr I008.

The European Rare Kidney Disease Reference Network

Rare kidney diseases encompass awide range of congenital, inherited and acquired conditions. Two million Europeans are affected by rare kidney diseases. The European Rare Kidney Disease Reference Network (ERKNet) aims to improve the clinical management of patients with these diseases. ERKNet encompasses 95highly specialized adult and pediatric nephrology units at 72sites in 24European Union (EU) member states, as well as agroup of patient advocates (European Patient Advocacy Group, ePAG). ERKNet centers care for more than 65,000 rare kidney disease patients and pursues avariety of activities. An online consultation service helps improve the management of complex cases. Expert working groups develop clinical practice guidelines for individual groups of rare kidney diseases. In a3-year postgraduate program, junior physicians at ERKNet centers are trained by experts in the diagnosis and treatment of rare kidney diseases through webinars and case-based eLearning modules. Information brochures and online texts on rare kidney diseases for patients, relatives and the general public are produced and disseminated. Clinical research is supported by aEuropean Registry for Rare Kidney Diseases (ERKReg), which provides important information on demographics and disease progression and facilitates the identification of patient cohorts for therapeutic studies. In addition, the registry provides clinical performance statistics of reference centers and allows benchmarking to promote the harmonization and standardization of care for rare kidney disease patients across Europe.

MRNA therapy effective treatment of rare hereditary diseases

mRNA therapy, or mRNA-based drugs that have emerged thanks to vaccines against SARS-CoV-2, have successfully passed preclinical tests and are currently at various stages of clinical trials in the treatment of many diseases, including rare metabolic disorders. In the case of rare genetic metabolic diseases, the concept of mRNA therapy can be considered as an alternative to protein replacement therapy, where exogenous mRNA leads to the production of a fully active protein instead of a non-functional one, and also delivers it to the desired cellular compartment, such as mitochondria or the cell membrane. Preclinical studies on animal models of some rare genetic diseases have fully confrmed the validity of this concept. In this mini-review, we examine and discuss the mentioned preclinical studies on efficacy and safety in several animal models. For all the diseases considered, mRNA therapy restored functional protein to therapeutically significant levels in target organs, led to stable and reproducible results after each dose of mRNA, and was well tolerated, as confirmed by functional liver tests evaluated in animal models, including non-human primates. These data convincingly confirm the potential of clinical development of mRNA therapy for the treatment of various rare metabolic disorders.

Leveraging Knowledge Graphs for Enhanced Medical Reasoning in Personalized Medicine for Rare Diseases

Leveraging knowledge graphs offers a promising approach to enhancing medical reasoning in the personalized treatment of rare diseases. Knowledge graphs provide an effective framework for organizing and interpreting complex biomedical data, facilitating a more comprehensive approach to diagnosis, prognosis, and treatment of rare diseases. By integrating diverse data sources—such as genomic profiles, clinical histories, and pharmacological information—into a cohesive graph structure, the project aims to improve clinical outcomes by enabling patient-specific insights and treatment recommendations. Rare diseases pose unique challenges due to limited data and complex symptoms, making traditional diagnostic methods inadequate. Knowledge graphs have the potential to bridge these gaps by linking disparate datasets, allowing clinicians to identify biomarkers, make more accurate diagnoses, and formulate personalized treatment pathways. This project involves constructing a multi-layered knowledge graph, applying machine learning and reasoning algorithms for pattern detection, and validating its accuracy in real-world settings. Expected outcomes include improved diagnostic accuracy, the discovery of new biomarkers, and the development of a scalable knowledge graph framework adaptable for a wide range of diseases. This work aims to contribute to the advancement of personalized medicine, offering a model for AI-driven reasoning that supports more informed and timely clinical decisions in the treatment of rare diseases. By organizing complex biomedical data into interconnected graphs, clinicians can gain comprehensive insights into rare disease mechanisms, facilitating more accurate diagnoses and personalized treatment strategies. Integrating diverse data sources, such as genomic, clinical, and pharmacological information, the knowledge graph structure enables the identification of relationships and patterns that are often missed in traditional analyses. Machine learning algorithms further support this process by identifying potential biomarkers and recommending treatment pathways based on patient-specific data. Through real-world validation with clinical partners, the knowledge graph approach is expected to improve diagnostic accuracy and support early intervention strategies. Ultimately, this framework not only addresses the unique challenges of treating rare diseases but also establishes a scalable model that can be adapted for broader applications in personalized medicine.

Development of bioconjugate-based delivery systems for nucleic acids.

Nucleic acids are a class of drugs that can modulate gene and protein expression by various mechanisms, namely, RNAi, mRNA degradation by RNase H cleavage, splice modulation, and steric blocking of protein binding or mRNA translation, thus exhibiting immense potential to treat various genetic and rare diseases. Unlike protein-targeted therapeutics, the clinical use of nucleic acids relies on Watson-Crick sequence recognition to regulate aberrant gene expression and impede protein translation. Though promising, targeted delivery remains a bottleneck for the clinical adoption of nucleic acid-based therapeutics. To overcome the delivery challenges associated with nucleic acids, various chemical modifications and bioconjugation-based delivery strategies have been explored. Currently, liver targeting by N-acetyl galactosamine (GalNAc) conjugation has been at the forefront for the treatment of rare and various metabolic diseases, which has led to FDA approval of four nucleic acid drugs. In addition, various other bioconjugation strategies have been explored to facilitate active organ and cell-enriched targeting. This review briefly covers the different classes of nucleic acids, their mechanisms of action, and their challenges. We also elaborate on recent advances in bioconjugation strategies in developing a diverse set of ligands for targeted delivery of nucleic acid drugs.

Evaluation of orphan maintained biological medicinal products in the European Union between 2018 to 2023: a regulatory perspective

ABSTRACT Objectives Orphan medicinal products (OMPs) authorized in the European Union (EU) benefit from market exclusivity, fee waivers, and national incentives. Maintaining orphan status during the marketing authorization application (MAA) requires meeting eligibility criteria, especially demonstrating significant benefit (SB), which is challenging. This study identifies key features linked to successful orphan status maintenance for biological OMPs approved in the EU between 2018 and 2023. Methods Data from European public assessment reports and orphan maintenance assessment reports were analyzed. Results Among the 50 biological OMPs granted orphan designation, 68.0% had to demonstrate SB over existing treatments, with 91.2% leveraging the clinically relevant advantage area, utilizing better clinical efficacy (83.8%) and subpopulation (38.7%) sub-domains. However, 32% did not need to demonstrate SB due to a lack of alternative treatments, most of which were ultra-orphan drugs. Advanced therapy medicinal products and monoclonal antibodies were the most numerous OMP categories, whereas oncology and immunomodulation were the preferred therapeutic areas. Conclusion The Orphan Regulation plays a critical role in advancing treatments for rare diseases, fostering innovation while addressing unmet medical needs. Nonetheless, the insufficient return on investment criterion remains underused, whereas refining major contribution to patient care guidelines and incorporating real-world evidence may enhance regulatory evaluations.

Drug Repurposing for Rare (Orphan) Diseases—Scope and Limitations

Effective and affordable treatment for rare diseases remains a huge challenge. Only a few drugs have made inroads into the therapeutic arena for rare diseases. The current focus is shifted to different uses for expensive new drugs, referred to as drug repurposing. It is also called drug repositioning or reprofiling, refers to the identification of new therapeutic applications of existing or investigational drugs. This concept and novel approaches have promising role in the treatment of many potentially incurable diseases, particularly certain forms of cancer, neurodegenerative conditions, immunological disorders and uncommon infectious diseases. There are huge expectations filled with optimism that the drug repurposing would offer fresh opportunities for the treatment and management of rare diseases. This is undoubtedly more relevant for low and middle income countries.

A Scoping Review on the Application of Artificial Intelligence in Treating Rare Diseases

Rare diseases affect a small percentage of the population but often present significant challenges in diagnosis, treatment, and management due to their complex and heterogeneous nature. Recent advancements in artificial intelligence (AI) have shown promising potential to address these challenges by improving early diagnosis, personalized treatment strategies, and drug discovery. This scoping review explores the current landscape of AI applications in rare disease treatment. We examine the role of AI-driven tools in enhancing diagnostic accuracy, optimizing treatment pathways, and facilitating drug repurposing for rare conditions. Additionally, we highlight the limitations and ethical concerns associated with AI implementation, such as data privacy, the need for high-quality datasets, and algorithmic transparency. The findings suggest that while AI holds transformative potential, its integration into clinical practice for rare diseases requires multidisciplinary collaboration, ongoing research, and regulatory oversight.

Successful Subungual Glomus Tumor Removal: A Case Report and Future Guidance on Diagnosis and Treatment

Background: Glomus tumors are rare benign hamartomas of the glomus body that occur mostly – though not limited to - the distal phalanxes of the digits. This article provides a real-life example of successful rare disease identification and treatment. It also provides a guideline that may help serve as future guidance on diagnosis and treatment. Case: A 41-year-old male came to our hospital presenting with a chief complaint of episodes of throbbing pain, which occurred spontaneously on the left thumb for the past two years. The pain had worsened in the past two weeks. The patient was positive for Hildreth’s, Love’s pin, and cold sensitivity tests. The previous x-ray showed no abnormalities in the left thumb. MRI found a hyperdense subungual lesion in the dorsal interphalangeal joint of the left thumb. We then performed an excision using the transungual approach. Histopathological findings found a relatively well-circumscribed lesion of the glomus apparatus absent of abnormal mitosis and necrosis. Two months after the excision, the patient reported no symptoms of recurrency, nail deformity, or other adverse outcomes. Conclusion: Patients typically present a chief complaint of chronic paroxysmal throbbing nail pain that persists for years, increases following exposure to cold environments, and is disproportionately exacerbated with the slightest touch. Hildreth’s, Love’s Pin, and cold sensitivity tests are special examinations that elicit or suppress pain. As with most benign tumors, complete excision usually yields good results. Adequate knowledge about diagnostic methods will help patients achieve early intervention and cure.

Rare Diseases and Syndromes Observed in Newborn Babies with Idiopathic Hypertrophic Pyloric Stenosis.

Although infantile hypertrophic pyloric stenosis is a multifactorial disease caused by genetic and environmental factors, the role of genetic factors has become more important recently. With this study, we aimed to present rare diseases accompanying infantile hypertrophic pyloric stenosis caused by genetic factors. This is a retrospective study. Babies who were operated on with the diagnosis of infantile hypertrophic pyloric stenosis in the neonatal intensive care unit between 2000 and 2022 and had additional diseases were included in the study. 9.8% of patients diagnosed with infantile hypertrophic pyloric stenosis had an accompanying rare disease. Early diagnosis and treatment of rare diseases associated with infantile hypertrophic pyloric stenosis are of great importance in reducing morbidity/mortality due to these diseases.

Rare Disease Innovation at the FDA—Opportunities for Implementation

This Viewpoint discusses new pathways for researchers to seek collaboration when conducting studies on treatments for rare diseases and conditions.

Budget impact analysis of high-priced orphan medicinal products intended for the treatment of rare diseases in China: evidence from a densely populated metropolis of Chengdu

BackgroundAn increasing number of orphan medicinal products (OMPs) are being included in social health insurance schemes, significantly improving access to medicines for patients with rare diseases. However, high-priced OMPs are still not covered, primarily due to health equity controversies and inadequate data systems required for economic evaluation. The aim of this study was to estimate the burden of drug expenditures and the size of the reimbursement budget required for high-priced OMPs from the perspectives of society and healthcare payers.MethodsThe study performed a budget impact analysis using data from multiple sources to estimate the reimbursement budget for high-priced OMPs in Chengdu, a densely populated metropolis in China. The budget analysis consisted of three main elements: the number of patients, the price of drugs, and the simulated policy scenario. By adjusting the combinations of these elements, the budget fluctuations for payers were estimated. Furthermore, the study predicted the budget trend for the next three years to validate its sustainability.ResultsThe analysis indicated that 98 rare disease patients in Chengdu required high-priced OMPs in 2019. This suggested a projected budget of CNY 179 million for these patients without reimbursement policies, from a societal perspective. Under six assumed policy scenarios, this budget ranged from CNY 32 million to CNY 156 million. Over the next three years, the annual budget was estimated to range from CNY 200 million to CNY 1.303 billion.ConclusionIntegration of multi-source data helps to obtain more scientifically reliable results on budget impacts. The study found that the budgetary impacts of high-priced OMPs on society and payers are relatively limited. Health policymakers can choose appropriate reimbursement strategies based on financial affordability among a diverse mix of elements. The results of related studies provided insights for optimizing the allocation of health resources and improving patient access to medications.

Bioavailability as Proof to Authorize the Clinical Testing of Neurodegenerative Drugs-Protocols and Advice for the FDA to Meet the ALS Act Vision.

Although decades of intensive drug discovery efforts to treat neurodegenerative disorders (NDs) have failed, around half a million patients in more than 2000 studies continue being tested, costing over USD 100 billion, despite the conclusion that even those drugs which have been approved have no better effect than a placebo. The US Food and Drug Administration (FDA) has established multiple programs to innovate the treatment of rare diseases, particularly NDs, providing millions of USD in funding primarily by encouraging novel clinical trials to account for issues related to study sizes and adopting multi-arm studies to account for patient dropouts. Instead, the FDA should focus on the primary reason for failure: the poor bioavailability of drugs reaching the brain (generally 0.1% at most) due to the blood-brain barrier (BBB). There are several solutions to enhance entry into the brain, and the FDA must require proof of significant entry into the brain as the prerequisite to approving Investigational New Drug (IND) applications. The FDA should also rely on factors other than biomarkers to confirm efficacy, as these are rarely relevant to clinical use. This study summarizes how the drugs used to treat NDs can be made effective and how the FDA should change its guidelines for IND approval of these drugs.

Accelerated discovery and miniaturization of novel single-stranded cytidine deaminases.

Cytidine base editors (CBEs) hold significant potential in genetic disease treatment and in breeding superior traits into animals. However, their large protein sizes limit their delivery by adeno-associated virus (AAV), given its packing capacity of <4.7 kb. To overcome this, we employed a web-based fast generic discovery (WFG) strategy, identifying several small ssDNA deaminases (Sdds) and constructing multiple Sdd-CBE 1.0 versions. SflSdd-CBE 1.0 demonstrated high C-to-T editing efficiency, comparable to AncBE4max, while SviSdd-CBE 1.0 exhibited moderate C-to-T editing efficiency with a narrow editing window (C3 to C5). Utilizing AlphaFold2, we devised a one-step miniaturization strategy, reducing the size of Sdds while preserving their efficiency. Notably, we administered AAV8 expressing PCSK9 targeted sgRNA and SflSdd-CBEs (nSaCas9) 2.0 into mice, leading to gene-editing events (with editing efficiency up to 15%) and reduced serum cholesterol levels, underscoring the potential of Sdds in gene therapy. These findings offer new single-stranded editing tools for the treatment of rare genetic diseases.

The modernisation of newborn screening as a pan-European challenge – An international delphi study

Newborn screening is a public health measure to diagnose rare diseases at birth, thereby minimising negative effects of late treatment. Genomic technologies promise an unprecedented expansion of screened diseases at low cost and with transformative potential for newborn screening programmes. However, barriers to the public funding of genomic newborn screening are poorly understood, particularly in light of the heterogenous European newborn screening landscape. This study therefore aims to understand whether international newborn screening experts share a common understanding of the barriers to fund genomic newborn screening. For this purpose, we convened 21 European newborn screening experts across a range of professions and national backgrounds in a Delphi study. Stable consensus, determined via the Wilcoxon matched-pairs signed-ranks test, was found via three consecutive survey rounds for all presented barriers. Experts generally judged the scenario of genomic newborn screening being available to every newborn in seven years to be unlikely, identifying treatability and the absence of counselling and a skilled workforce as the most significant barriers to public funding. We identify value re-definition for rare disease treatments, centralisation of genomic expertise, and international research consortia as avenues for pan-European actions which build on the consensus achieved by our Delphi panel.

A scoping review of the role of managed entry agreements in upcoming drugs for amyotrophic lateral sclerosis: learning from the case of spinal muscular atrophy

Introduction: The therapeutic options for spinal muscular atrophy (SMA) are encouraging. However, there is currently no cure for amyotrophic lateral sclerosis (ALS). The clinical and economic uncertainty surrounding innovative treatments for rare neurodegenerative diseases makes it necessary to understand managed entry agreements (MEAs). The aim of this study was to review whether models of MEAs in SMA could be extrapolated to ALS. Methods: We performed a scoping review with information on MEAs on SMA in Web of Science (WOS), PubMed, Lyfegen Library, the National Institute for Health and Care Excellence (NICE), and the Canadian Agency for Drugs and Technologies in Health (CADTH). Results: We found 45 results in WOS and PubMed. After an initial survey, 10 were reviewed to assess eligibility, and three were selected. We obtained 44 results from Lyfegen Library, and three results each from NICE and CADTH. Conclusion: The main objective of MEAs is to reduce uncertainty in the financing of drugs with a high budgetary impact and clinical concerns, as is the case with drugs for SMA and ALS. While the information available on MEAs in SMA is scarce, some conceptual models are publicly available. MEAs for long-term treatments for SMA could be used for the design of MEAs in ALS because of their similarities in economic and clinical uncertainty.

The Role of Precision Medicine in Rare Diseases

Precision medicine, driven by advances in next-generation sequencing (NGS) and genomics, is transforming the diagnosis and treatment of rare diseases. Rare diseases, often genetic, present unique challenges due to their low prevalence and the heterogeneity of symptoms. Precision medicine offers a promising solution by channeling therapies to an individual’s genetic profile, providing earlier diagnoses, and guiding treatment decisions. This review discusses the definition and prevalence of rare diseases, explores the challenges in their diagnosis and treatment, and highlights the potential of precision medicine through case studies and emerging technologies. Future directions include overcoming data integration challenges and fostering collaborations in bioinformatics and AI for improved therapeutic outcomes. Keywords: Precision Medicine, Rare Diseases, Next-Generation Sequencing (NGS), Genomics, Personalized Therapy.

Computational Approaches to Drug Repurposing: Methods, Challenges, and Opportunities.

Drug repurposing refers to the inference of therapeutic relationships between a clinical indication and existing compounds. As an emerging paradigm in drug development, drug repurposing enables more efficient treatment of rare diseases, stratified patient populations, and urgent threats to public health. However, prioritizing well-suited drug candidates from among a nearly infinite number of repurposing options continues to represent a significant challenge in drug development. Over the past decade, advances in genomic profiling, database curation, and machine learning techniques have enabled more accurate identification of drug repurposing candidates for subsequent clinical evaluation. This review outlines the major methodologic classes that these approaches comprise, which rely on (a) protein structure, (b) genomic signatures, (c) biological networks, and (d) real-world clinical data. We propose that realizing the full impact of drug repurposing methodologies requires a multidisciplinary understanding of each method's advantages and limitations with respect to clinical practice.

Synthetic routes and clinical application of new drugs approved by EMA during 2023

In 2023, the European Medicines Agency (EMA) granted approval to 77 new molecular entities (NMEs), consisting of 45 new chemical entities (NCEs) and 32 new biological entities (NBEs). These pharmacological agents encompass a broad spectrum of therapeutic domains, including oncology, cardiology, dermatology, diagnostic medicine, endocrinology, gastroenterology and hepatology, metabolic disorders, and neurology. Among the 77 approved pharmaceuticals, three received accelerated review status, and 17 (22 %) were granted orphan drug designation for the treatment of rare diseases. This review provides an overview of the clinical applications and synthetic routes of 42 newly approved NCEs by the EMA in 2023. The objective is to offer a comprehensive understanding of the synthetic approaches used in the development of these drug molecules, thereby inspiring the creation of novel, efficient, and applicable synthetic methodologies.

Clinical Evidence Supporting FDA Approval of Gene and RNA Therapies for Rare Inherited Conditions.

Gene and RNA therapies have potential to transform the treatment of rare inherited diseases, but there are concerns about the evidence supporting their use and high costs. We analyze the evidence supporting Food and Drug Administration (FDA) approval of gene and RNA therapies for rare inherited diseases and discuss implications for clinical practice and policy. We conducted a qualitative analysis of FDA documents outlining the basis of approval for gene and RNA therapies approved for rare inherited diseases between 2016 and 2023. For each drug, we gathered five characteristics of the evidence supporting FDA approval (no phase 3 trial, nonrandomized, no clinical endpoint, lack of demonstrated benefit, and significant protocol deviation) and four characteristics of the FDA approval process (prior rejection or complete response, negative committee vote, discrepancy between label and trial population, and boxed warning). The main outcome was the number of drugs with each characteristic. Between 2016 and 2023, 19 gene and RNA therapies received FDA approval to treat rare inherited diseases. The most common limitations in the evidence supporting approval of these drugs were nonrandomized studies (8/19, 42%), no clinical endpoint (7/19, 37%), lack of demonstrated benefit or inconsistent results (4/19, 21%), and no phase 3 trial (4/19, 21%). Half (3/6) of accelerated approvals and 57% (5/9) of drugs with breakthrough designation had nonrandomized trials, and gene therapies with one-time dosing were overrepresented (5/7, 71%) among the drugs with nonrandomized trials. Five of six accelerated approvals (83%) and five of nine pediatric drugs (56%), most of which were indicated for Duchenne muscular dystrophy, had no clinical endpoint. Four of nine (44%) pediatric drugs and four of six (67%) accelerated approvals failed to demonstrate benefit compared with none of the nonpediatric drugs and none of the traditional approvals. Five drugs, which all had different indications and represented a mix of RNA and gene therapies, did not have any of these evidence characteristics. Among drugs that received prior rejections or negative committee opinions, all four had nonrandomized trials and lacked a clinical endpoint, and 75% (3/4) lacked demonstrated benefit. Five of nine (56%) pediatric drugs were indicated for broader age groups according to the drug label compared with the trial populations. Of the three drugs with boxed warnings, two had pediatric indications and nonrandomized studies, and one had no phase 3 trial. Issues related to trial design, outcome, and data integrity in the evidence supporting FDA approval of rare inherited disease gene and RNA therapies raise questions about whether this evidence is adequate to inform prescribing decisions. Gene and RNA therapies with accelerated approval and pediatric indications were overrepresented among drugs lacking clinical endpoints or demonstrated benefit and should be the focus of efforts to reduce uncertainty in the evidence.