Creating a GMP cell processing program: a focus on quality and regulation
Abstract
Implementing current Good Manufacturing Practice (GMP) regulations and principles even in early phases of cell-based therapy studies is crucial for ensuring safety and reproducible quality of these products. This paper outlines the comprehensive steps necessary to establish a robust GMP-compliant cell processing program in academic programs with emphases on adherence to regulatory and quality standards. While there are different regulatory agencies governing practice across the globe, the prevailing quality principles described here incorporate common requirements and guidelines from agencies such as the United States Food and Drug Administration (FDA) and the European Medicines Agency (EMA). The goal of this review is to provide guidance for developing a quality management program (QMP) that addresses all critical factors impacting each step in the cell therapy product lifecycle: from procurement and receipt of starter material, through manufacturing, testing, storage, distribution, and administration. The QMP should be designed to assure quality outcomes by maintaining qualified and trained staff at all levels as applicable to their job functions; establishing clear policies and procedures; ensuring the qualification of facilities and equipment; using qualified materials for human use; and providing a framework for detection of trends and implementing process improvement.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Successful clinical translation of cell and EV therapies critically depends on robust, scalable, GMP-compliant manufacturing systems.
“However, the successful clinical translation of these products critically depends on robust, scalable, and Good Manufacturing Practice (GMP)-compliant manufacturing systems (Patel et al., 2025).”
From Isolator-based point-of-care manufacturing: a practical solution for GMP-compliant cell and extracellular vesicles therapy production (2025) · cites this paper as Patel et al., 2025
Cited by
Sorted by citations
Chiu, Y.-S., Wang, K.-L., & Wu, K.-L. (2025) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2025.1644318 · Cited by 17 · see citing works
- Authors
- Patel, D., Reese Koç, J., & Otegbeye, F.
- Affiliations
- Fred Hutch Cancer Center (US)
- Corresponding author
- Otegbeye, Folashade
- Venue
- Best Practice & Research Clinical Haematology
- Publisher
- Elsevier BV
- Published
- 2025-03
- Volume
- 38
- Issue
- 1
- Pages
- 101614
- ISSN
- 1521-6926 (ISSN-L)
- OpenAlex
- W4408974932
- Cited by
- 11
- References
- 0
- Citations by year
- 2026: 8 · 2025: 3
- FWCI
- 7.12
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Best Practice & Research Clinical Haematology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Biomedical Ethics and Regulation
- Health Sciences › Medicine › Oncology › CAR-T cell therapy research
- Health Sciences › Medicine › Hematology › Hematopoietic Stem Cell Transplantation
- Keywords
- current good manufacturing practice, cell therapy manufacturing, quality management programs, regulatory compliance, cell processing, FDA guidance, EMA guidelines, employee qualification, process improvement
- MeSH terms
- Humans, Quality Control, United States, United States Food and Drug Administration, Cell- and Tissue-Based Therapy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review