| Literature DB >> 34013781 |
Lauren M Timmins1, Alexandra M Burr1, Kristina Carroll1,2, Robert Keefe3, Matthew Teryek1, Louis J Cantolupo4, Johannes C M van der Loo5, Thomas R J Heathman6, Adam Gormley1, David Smith7, Biju Parekkadan1.
Abstract
When considering the development pathway for a genetically modified cell therapy product, it is critically important that the product is engineered consistent with its intended human use. For scientists looking to develop and commercialize a new technology, the decision to select a genetic modification method depends on several practical considerations. Whichever path is chosen, the developer must understand the key risks and potential mitigations of the cell engineering approach. The developer should also understand the clinical implications: permanent/memory establishment versus transient expression, and clinical manufacturing considerations when dealing with transplantation of genetically engineered cells. This review covers important topics for mapping out a strategy for developers of new cell-based therapeutics. Biological, technological, manufacturing, and clinical considerations are all presented to map out development lanes for the initiation and risk management of new gene-based cell therapeutic products for human use.Entities:
Keywords: cell therapy; gene therapy; genetic engineering; manufacturing; product development; viral vector
Mesh:
Year: 2021 PMID: 34013781 PMCID: PMC8145581 DOI: 10.1177/09636897211003022
Source DB: PubMed Journal: Cell Transplant ISSN: 0963-6897 Impact factor: 4.064
Vector Types and Characteristic Properties.
| Vector | Genome & size (kb) | Capacity (kb) | Diameter (nm) | Tropism | Expression |
|---|---|---|---|---|---|
| Adenovirus | dsDNA; 36 | 4–7 | 70–90 | D, ND | ST, Transient |
| AAV | ssDNA; 4.9 | 2.4–4.5 | 18–26 | D, ND | LT, Transient |
| HSV | dsDNA 120–200 | 30 | 150–200 | D, ND | LT, Transient |
| Lentivirus | RNA; 7–9 | 8 | 80–120 | D, ND | LT, Stable |
| Retrovirus | RNA; 7–10 | 8 | 80–130 | D | LT, Stable |
Abbreviations: D, dividing; ND, non-dividing; ST, short term; LT, long term.
Non-Viral Genome Editing Technologies.[18,21,22,23–30]
| Genome editing technologies | Method of editing | Highest efficiency achieved | Benefit | Disadvantage | Off-targets | Clinical/preclinical usage | When is it preferred? |
|---|---|---|---|---|---|---|---|
| Zinc finger nucleases | Introducing a double stranded break at a specified location in the genome using DNA | Lower efficiency / high specificity suitable for Knocking out gene function[ | High level of specificity because pairs of ZFNs must be designed for dimerization and cleavage[ | Expensive and finicky to make[ | Off-target sites cleaved when ZFN pairs are expressed in cells (binding of nuclease to unintended sites that share sequence homology with on-target site).[ | C: Confer resistance to HIV virus in AIDS patients (Tebas et al. 2014)[ | Targeted gene replacement[ |
| Transcription activation-like effector nucleases (TALENs | Introducing a double stranded break at a specified location in the genome using DNA binding domain and Fokl DNA-cleaving domain Protein-DNA Recognition.[ | Modify with high efficiency, however sensitive to cytosine methylation (DNA silencing)[ | Simpler and easier to engineer than Zinc fingers[ | Large molecules, therefore, can be difficult to deliver efficiently / Methylation Sensitive[ | Little evidence of mismatch tolerance or off-target activity demonstrated[ | PC: Engineer lymphocytes for treatment of acute lymphoblastic leukemia (Poirot et al. 2015)[ | Less mutagenesis unconstrained design[ |
| CRISPR-Cas9 | RNA-DNA recognition[ | Highest efficiency because it is capable of modifying targets at high frequency[ | Simple to design and use (flexible)[ | Been shown to associate with many off target sites[ | More potential for off-target effects than TALENs and ZFNs[ | C: T cells with PD-1 knockout and early CAR-T studies[ | Quick gene-knock out for pilot study, target design simplicity[ |
| Arc nuclease platform (ARCUS) | Enzyme-DNA recognition (Homing endonuclease)[ | Designed in silico for maximum gene editing efficiency[ | Non-destructive enzymes that modify in very precise manner[ | Relatively new technology not fully explored[ | Little evidence of random off-target events[ | None yet[ | Extremely specific target with no off-targets[ |
Fig. 1.Decision tree and rationale for the selection of a transfection methodology.
Fig. 2.Rationale for choosing a target clinical cell type and intended disease target for cell transplantation.
Vector Process Development Challenges and Mitigations.[74–78]
| Process challenge | Areas for improvement |
|---|---|
| In fixed bed bioreactors it is difficult to collect the virus from cells. | Fluidics modeling can optimize flow patterns and rates to collect virus. |
| Culture results using serum free media are not comparable to results using serum. | Early, upfront work with CROs to optimize and test serum free media formulations per cell type. |
| Difficulty scaling up culture volumes. | Invest in early process development work; this de-risks potential for large-scale failed batches. |
| Limited generation time of viral particles 72-96 post transfection. | Stable producer cell lines produce vector over extended amounts of time. |
| Cationic lipids (PEI and Lipofectamine) can be toxic to cells. | Optimize cell density, lipid concentration, pH, and temperature. Set tight specifications in early development work. |
| High yields are difficult to reach for certain gene constructs. | Use of infection-based systems such as baculovirus (1014 vg/L). |
| Unprocessed supernatants often contain vector titers from 1 to 5x107 TU / ml; relatively dilute for downstream use | Addition of a filtration or volume reduction step to collect vectors from supernatant and concentrate virus. |
Examples of Solutions to Mitigate the Risk of Manufacturing with Viral Vectors.[79,80]
| Manufacturing challenge | Potential mitigations |
|---|---|
| Cross contamination from airborne particles |
Reduce open manipulations or close manufacturing process entirely Manipulation of one product at a time in each clean room Effective design of clean room airflows to enable containment |
| Cross contamination from direct transfer through product and non-product contact surfaces |
Effective production planning to minimize co-location of multiple products Validated cleaning effectiveness procedures between each product manufacturing process |
| Cross contamination due to human error during product manufacturing |
Effective material and waste management systems and process flows Color coding of products during manufacturing and physical segregation during culture Extensive quality control record systems Effective personnel training systems |
| Additional RCR/RCL testing prior to GMP release of materials |
Include RCV testing timeline as part of pre-clinical product development plan Develop a clear viral vector testing strategy for each stage of clinical and commercial manufacturing |