Evidence map›Paper›PMID 40014258›Full record

ReviewTherapeutic innovation & regulatory science2025

Toward an Extensible Regulatory Framework for N-of-1 to N-of-Few Personalized RNA Therapy Design.

Mélissa Bou-Jaoudeh, Gabriele Piaton-Breda, Florian Pereme, Stephen Gilbert

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mélissa Bou-JaoudehProductLife Group, Courbevoie, France. mboujaoudeh@productlife-group.com.
Gabriele Piaton-BredaProductLife Group, Courbevoie, France.
Florian PeremeProductLife Group, Courbevoie, France.
Stephen GilbertCarl Gustav Carus University Hospital Dresden, Dresden University of Technology, Dresden, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Genetic TherapyPrecision MedicineRare DiseasesRNAArtificial IntelligenceHumansRNAArtificial intelligence in drug developmentDesign envelopeIndividualized RNA therapeuticsPredetermined Change Control Plan (PCCP)Rare diseasesRegulatory framework

Identifiers

PMID40014258
PMCPMC12018499

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.