ArticleDrug delivery and translational research2023
Regulatory aspects of a nanomaterial for imaging therapeutic cells.
Article in Drug delivery and translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Biologically Mediated Nanoparticle Synthesis as a Potential Green Strategy: Principles, Methods, and Pharmaceutical Applications.Pharmaceutics · 2026Review
- Guided immunotherapy for residual solid tumor: integrating platelets and CAR T cells to reduce post-surgical recurrence.Biomarker research · 2026Review
- Beyond borders: engineering organ-targeted immunotherapies to overcome site-specific barriers in cancer.Drug delivery and translational research · 2025Review
- Unlocking the full potential of piperine-loaded nanocarriers for cancer treatment.Therapeutic delivery · 2025Review
- Emerging Trends and Persistent Challenges in Nanomedicines for Rheumatoid Arthritis Therapy.Current rheumatology reviews · 2025Article
- Nanostructured Medical Devices: Regulatory Perspective and Current Applications.Materials (Basel, Switzerland) · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The ability to track therapeutic cells upon administration to the patient is of interest to both regulators and developers of cell therapy. The European Commission Horizon2020 project nTRACK from 2017-2022 aimed to develop a multi-modal nano-imaging agent to track therapeutic cells during development of a cell therapy. As part of this project, we investigated the regulatory pathway involved for such a product if marketed as a stand-alone product. An important regulatory hurdle appeared to be the appropriate regulatory classification of the nTRACK nano-imaging agent, as neither the definition for medicinal product nor the definition for medical device appeared to be a good fit for the purpose of the product and we were confronted with diverging views of competent authorities on the classification. As a consequence, the information requirements to fulfill before conducting a First in Human trial are not evident and can only be decided upon by closely collaborating and communicating with the relevant authorities throughout the development of the product. Moreover, standard test methods for demonstrating the quality and safety of a medicinal product or medical device are not always suitable for nanomaterials such as the nTRACK nano-imaging agent. Regulatory agility is therefore a great need to prevent delay of promising medical innovations, although regulatory guidance on these products will likely improve with more experience. In this article, we outline the lessons learnt related to the regulatory process of the nTRACK nano-imaging agent for tracking therapeutic cells and offer recommendations to both regulators and developers of similar products.
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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.