Evidence map›Paper›PMID 41368312›Full record

ReviewFrontiers in medicine2025

Nonclinical regulatory considerations for investigational new drug applications for regulatory T cell therapies.

Phuong-Uyen Dinh, Lauren Mihalcik

Abstract readReview
In one paragraph

Review in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

2 authors.

Phuong-Uyen DinhAclairo Pharmaceutical Development Group, Sterling, VA, United States.
Lauren MihalcikAclairo Pharmaceutical Development Group, Sterling, VA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since FDA approval of the first chimeric antigen receptor (CAR) T cell therapy in 2017, the landscape of cell-based therapies has widely expanded. This expansion has encompassed both the types of cell therapies being developed as well as indications beyond oncology. As an example, the number of regulatory T cell (Treg) therapies in development have been steadily increasing, with targeted focus on treatment of autoimmune and inflammatory diseases. The nonclinical development pathway for Treg therapies has relied on leveraging existing regulatory guidance documents for cell and gene therapies, however the lack of Treg specific guidance coupled with often times limited appropriate preclinical models have created regulatory challenges for drug developers. In this review, preclinical considerations for the development of Treg therapies will be described. Specifically, topics will include the following: (1) Current health authority expectations for demonstrating pharmacodynamics, biodistribution, and safety of Treg therapies, including selection of relevant models, assay selection for bioanalytical endpoints, and strategic study planning to maximize study readouts while reducing animal use. (2) Approaches for conducting target liability assessments to supplement nonclinical development packages for indications with limited appropriate preclinical models. (3) Leveraging health authority interactions, such as the US Food and Drug Administration (FDA) Initial Targeted Engagement for Regulatory Advice on CBER/CDER Products (INTERACT) and Pre-Investigational New Drug (Pre-IND) meetings, to gain feedback and actionable directives to guide program development. (4) Guidance on generating high quality nonclinical regulatory documents, including study reports and submission documents, to support IND applications.

Indexed as

CARdrug developmentFDAguidelinesnonclinicalpharmacologytoxicologyTreg

Identifiers

PMID41368312
PMCPMC12682749

What OpenQuestion holds

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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.