Identification of Novel Modalities Through Bibliometric Analysis for Timely Development of Regulatory Guidance: A Case Study of T Cell Immunity
Fukaya-Shiba A., Otsuka K., Sasaki H., Shikano M., Wakao R.
Clinical Trial, published in Front Med (Lausanne) (2021) — summary generated from the PubMed abstract.
Several human studies show positive signals, while research methods and sample sizes continue to develop.
- Level A · Stronger Clinical Evidence
- Level B · Emerging clinical evidence with positive signals
- Level C · Early human research exploring benefits
- Level D · Scientific groundwork from lab and animal studies
- Emerging · Emerging topic under active research
This page is generated from the PubMed record. The Thai description is an automated summary of bibliographic fields and the abstract, not a full translation, and is not medical advice.
- Study type
- Clinical Trial
- Journal
- Front Med (Lausanne) (2021)
- Reported sample size
- —
- Source database
- Europe PMC
- PMID
- 34708061
- PMCID
- PMC8544749
- DOI
- 10.3389/fmed.2021.756870
- Citations
- 2
Abstract (original English)
Background: The mission of medicines regulatory agencies is to ensure the timely access of innovative products for patients to improve public health. Thus, regulators should foresee evolving technologies and build expertise prior to reviewing innovative products. Novel modalities and new classes of therapeutics in biological or cell-based products represent a regulatory challenge because of knowledge gaps, as exemplified by the unexpected cytokine release syndrome in the first-in-human clinical trial of the CD28 super-agonist. Meanwhile, recent treatments harnessing T cell co-signaling pathways provide an opportunity for investigation. Therefore, this study aimed to systematically identify and evaluate novel modalities for T cell immunity to assess the need for regulatory guidance. Methods: A PubMed search was carried out using the query, "immun * AND t lymph * " to select publications. Subsequently, a citation network was created, followed by clustering and text mining to identify the modalities and classes of therapeutics under development. Results and Discussion: Analysis of the top 20 clusters revealed research domains characterized by keywords such as immune checkpoint antibody, chimeric antigen receptor (CAR)-T cells, microbiota, exosome, regulatory T cells, unconventional T cells, and vaccines. After reviewing the pharmacological concepts, clinical trial information, and
What this study does not prove
- • This study does not prove SVF is an approved treatment or a replacement for standard care.
Evidence level
Several human studies show positive signals, while research methods and sample sizes continue to develop.
How we grade evidenceBrowse all related research
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