ReviewTherapeutic innovation & regulatory science2025
Toward an Extensible Regulatory Framework for N-of-1 to N-of-Few Personalized RNA Therapy Design.
Review in Therapeutic innovation & regulatory science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- New Therapeutic Modalities and Collingridge's Dilemma.Pharmaceutical medicine · 2026Article
- Engineering the Future of Precision Medicine: A Comprehensive Guide to RNA Therapeutics.Current issues in molecular biology · 2026Review
- Advances in CRISPR Base Editing: From Molecular Evolution to Therapeutic Applications in Genomic Medicine.Journal of cellular and molecular medicine · 2026Review
- Review
- Model selection in preclinical nucleic acid therapeutics research.Communications biology · 2026Review
- RNA-Based Therapeutic Strategies in Multiple Myeloma: From Molecular Targets to Delivery and Clinical Translation.International journal of molecular sciences · 2026Review
- Nanomaterials in gene therapy and genome editing: challenges and emerging directions.Journal of nanobiotechnology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The emergence of personalized RNA therapeutics, tailored to individual patients' genetic profiles, offers new hope for treating both common and rare diseases. This review explores regulatory aspects of N-of-1 and N-of-few approaches, providing promising treatments for ultra- or nano-rare diseases that lack established therapies. These diseases present unique challenges, as patients may represent the sole individual or a small group worldwide with a specific mutation, necessitating personalized approaches to treatment development, validation, and approval. While progress is promising, the regulatory landscape remains nascent, raising challenges in ensuring safety and industry sustainability. Artificial intelligence (AI) and automated systems, coupled with real-world evidence (RWE) monitoring, offer significant potential to address these challenges by optimizing development, manufacturing, and regulatory compliance. Drawing parallels from other regulatory domains, this review presents a design envelope framework, integrated with AI tools, to streamline the approval process and enhance the adaptability of RNA-based treatments. Case studies of individualized RNA-based treatments highlight successes and setbacks, underscoring the need for regulatory alignment. Collaborative efforts from stakeholders and regulatory authorities are essential to refine this framework for real-world application. Overall, this review emphasizes the transformative potential of personalized RNA therapeutics in advancing precision medicine.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.