Potency Measurements for Cellular and Gene Therapy Products
Cell and gene therapy (C>) products address various diseases at the cellular or genetic level, offer innovative treatment approaches, and represent a significant advancement in the field of medicine. However, developers of C> products face unique challenges due to their complexity, such as establishing assays that show a clear link between potency, mechanism of action (MoA), and clinical performance. Sponsors face a significant risk of a clinical hold if an adequate “potency assay” has not been established by the pivotal phase of clinical trials.
Background on Guidance
The US Food and Drug Administration (FDA) has defined potency in the Code of Federal Regulations (CFR) Title 21 as “the specific ability or capacity of the product, as indicated by appropriate laboratory tests or by adequately controlled clinical data obtained through the administration of the product in the manner intended, to effect a given result.”1
Similarly, ICH Q6B “Specifications: Test Procedures and Acceptance Criteria for Biotechnological/Biological Products” describes potency as “the measure of the biological activity using a suitably quantitative biological assay (also called potency assay or bioassay), based on the attribute of the product which is linked to the relevant biological properties.”2
Furthermore, the FDA 2011 guidance on potency tests for C> products states that “potency measurements are a necessary part of product characterization testing, comparability studies, and stability protocols, which are used to establish that a consistently manufactured product is administered during all phases of clinical investigation.”3
The 2011 guidance3 emphasizes the importance of accurate measurement methods to ensure product quality and outlines specific considerations and methodologies for assessing potency. However, it acknowledges challenges to assay development for these products, such as the inherent variability of starting materials, limited lot size, material for testing, and stability; lack of appropriate reference standards; multiple active ingredients; the potential for interference or synergy between active ingredients; common MoA(s); and in vivo fate of the product. Consequently, it suggests that a single assay may not be sufficient to measure the product attributes, and multiple assays in combination may be required.
In December 2023, the FDA published “Draft Guidance for Industry: Potency Assurance for Cellular and Gene Therapy Products,”4 which provides recommendations for a science- and risk-based strategy to ensure the potency of human C> products. The potency assurance strategy proposed in this guidance document includes manufacturing process design, control, material management, in-process testing, and release potency assays to minimize risks and ensure the intended therapeutic effect for each product lot.
The draft guidance4 advocates for the application of quality risk management principles throughout the product life cycle, which is similar to the recommendations outlined in ICH Q9(R1).5 These principles are adapted to C> products by using formal risk assessment tools to identify and mitigate factors affecting potency.
The 2023 guidance also addresses assay development.4 However, it reduces rather than elaborates on principles related to assay selection and development. Though it provides a holistic overview and addresses assay development, it lacks depth when it comes to elucidating principles related to the selection and development of potency assays when compared to the 2011 guidance. Once the 2023 draft guidance becomes final, it will replace the 2011 guidance.
In Europe, the European Commission’s 2017 guidelines on GMP for advanced therapy medicinal products (ATMPs)6 address scenarios where traditional release testing may not be feasible due to various constraints. For investigational ATMPs, alternatives such as testing key intermediates or in-process controls, real-time testing for short shelf-life products, and increased reliance on process validation are suggested.
Moreover, as routine testing may be limited, the importance of process validation becomes heightened, though any adjustments to release testing strategies require approval from competent authorities. The European Medicines Agency guidelines, similar to the FDA guidance, offer concrete instances of adaptation strategies. Nevertheless, much like the 2023 FDA guidance, it falls short in delving into the foundational principles governing the selection and refinement of potency assays.
Current Challenges to C> Product Potency Testing
The challenges that manufacturers face in developing potency assays are described in the FDA’s 2011 guidance and continue to be relevant. Acknowledging that the challenges will require creativity and flexibility, the guidance states that “FDA regulations allow for considerable flexibility in determining the appropriate measurements of potency for each product.” 3
To illustrate that flexibility, the guidance pointed out three ways in which potency could be measured: a biological assay, an analytical assay that is a surrogate for a biological assay, and a matrix of “complementary assays that measure different product attributes…that are correlated to a relevant biological activity.”3
Despite the publication of the 2011 guidance, potency testing remained a significant challenge for the C> field. Sponsors have found that application of regulatory flexibility has been minimal and that regulators have linked the three different approaches to potency (bioassay, single surrogate, or matrixed surrogate) more frequently by an “and” statement rather than the “or” statement implied in the guidance.
This has created an expectation of adhering to all three methods simultaneously rather than choosing one based on context. When surrogate measures and matrix approaches have been tried, the pathway to establishing meaningful correlations between analytical assays and biological activities has proven difficult.
Additionally, the 2023 guidance emphasizes that “because C> products usually have multiple potency-related critical quality attributes (CQAs) that cannot be controlled adequately without release testing, your potency assurance strategy should typically include multiple release assays.”4 Examples of the challenges identified for the development of C> products are described in Table 1.
The release of the 2023 Draft Guidance for Industry marks a continued evolution in the FDA’s approach to potency for C> products. With the introduction of a potency assurance strategy, instead of viewing potency solely as a test, it is now recognized as a matrix and as a strategic imperative. However, due to the newness of the potency assurance strategy, and the uncertainty around FDA implementation, this article will not cover testing aspects of the potency assurance strategy.
Moreover, our accumulated knowledge on potency testing suggests that the 2023 guidance does not significantly change our understanding in this regard. The 2023 guidance eliminates the use of surrogate potency measures or potency matrices, emphasizing instead that potency testing usually involves a combination of multiple methods and expects sponsors to establish correlations between potency measures and proposed MoA.
Complex, multicomponent MoA | • Lack of one assay to cover all aspects ofpotency • Multiple MoA—matrix approach may result in redundant testing • Animal models may not be relevant or su ciently robust7 • The functional biological activity of a product may not be induced until engraftment and fi nal maturation has taken place post administration • Certain elements of the MoA might serve solely for characterization purposes • As cell therapies progress, adaptability becomes crucial due to the evolving nature of understanding their MoA |
Inherent variability of cellbased assays | • Complex sample matrix • Lack of reference materials and/or assay controls |
Product-specifi c vs. patientspecifi c attributes may be di cult to predict and control | • Only product-specifi c attributes can be tested • Patient-specifi cattributes of the MoA cannot be measureda priori batch • Composition isnotavailable until it ismanufactured |
Assays evolving as clinical development progresses | • Increased understanding of CQAs, product, and process |
In this article, we introduce proposals to overcome some of the challenges identified. We expect that these proposals will help sponsors and regulatory agencies advance the discussion on the topic of potency for C> products.
Points to Consider
The ideal potency assay is relevant, reliable, and can quantify the functional biological activity related to the MoA. For a gene therapy, the ideal potency assay should be able to determine whether a particular environmental factor, storage condition/duration, presence of impurity(ies), post-translational modification of the product, or other such factors influence the biological activity associated with the MoA. This may, in turn, have an impact on clinical performance. In addition, for gene replacement therapy, the ideal potency assay should normally encompass an evaluation of efficiency of gene transfer (infectivity/transduction/delivery) and the levels of expression of the therapeutic sequence to its direct activity.
Potency assays should detect meaningful changes related to biological activity, have a defined product-specific acceptance criterion, have meaningful system suitability controls, and be stability-indicating. The ability to develop the ideal potency assay for C> products is variable and depends on the type of challenges the developers face, which include but are not limited to complex and usually not fully known MoA, lack of assay sensitivity, and variability of cell-based assays (see Figure 1).
Potency Attributes
Potency is considered a CQA and the development of the relevant assays are the center of many challenges and discussions amongst developers of C> products and regulators. Measurement of potency plays an essential role not only for ensuring consistent bioactivity in each therapeutic dose administered to patients but also in quality control and batch release, product characterization, comparability, and stability.
An ideal potency assay’s results should be quantitative, be stability-indicating, confirm lot-to-lot consistency, meet predefined acceptance and/or rejection criteria, and measure a biological activity that correlates with clinical function in the best-case scenario.
Fit-For-Purpose Solutions
As described in the 2011 FDA guidance “Potency Tests for Cellular and Gene Therapy Products,”3 the complexity and diversity of C> products can present significant challenges for the development of potency assays. Challenges such as variability of starting and raw materials, multiple active ingredients, complex mechanisms of action, variable CQAs, and complex manufacturing processes, make the development of fit-for purpose solutions a necessity.
As stated in the paper “Addressing Potency-Assay Related Development Delays for Cell and Gene Therapies,”8 “gene and cell therapies often undergo a series of processing events that ultimately result in the functional therapeutic entity. Further downstream events may be required to achieve the final therapeutic outcome, which itself may be another cascade. These biological steps are often referred to as a ‘biological cascade.’”
As an alternative, the matrix approach to potency assessment recognizes that a single potency assay may not capture the full spectrum of therapeutic activity, and advocates for the integration of multiple assays tailored to the diverse MoA exhibited by these products. In essence, absent a singular potency assay, a matrix of assays is employed, each designed to reflect specific facets of the product’s therapeutic potential. Figure 1 illustrates two primary strategies for potency assessment: the cascade approach and the matrix approach.
Potency is almost never univariate. In the cascade approach, as seen in Figure 1, potency assessment progresses through a series of assays, each addressing specific aspects of the product’s MoA or biological activity. The matrix approach involves the simultaneous use of multiple assays, each capturing different dimensions of potency. These assays may encompass various methodologies, such as cell-based assays, biochemical assays, and molecular assays. Integration of data from these diverse assays provides a comprehensive understanding of the product’s potency profile.
Biological Assays
Biological assays inherently exhibit variability, and in the context of cell therapies like chimeric antigen receptor (CAR) T cell therapy, this variability is compounded by differences in starting materials. These challenges underscore the difficulty in selecting the most suitable activity for validation and specification setting, especially concerning its proximity to drug delivery. Despite this, regulatory agencies often prioritize evaluating downstream protein activity alongside gene activity. Consequently, developing assays that capture various levels of the activity cascade becomes imperative for product characterization and may even be mandated.
Multiple Distinct or Orthogonal Assays
Based on the MoA, the question of whether one assay is sufficient or if multiple assays will be needed is not always easily determined. When multiple components come together to make up a product, multiple potency measures may be needed. Examples might include when a lentiviral vector and a T cell are brought together to make a CAR T cell or when the various components (guide ribonucleic acid [RNA] and nuclease) of gene editing are brought together in a delivery vector. Multiple assays may also be needed if multiple MoAs are intended by the product either due to the presence of multiple transgenes or the presence of multifunctional cells.
The FDA strongly recommends3 developing multiple assays in parallel during early clinical investigations. This may include the development of orthogonal methods that measure the same attribute of potency. Having multiple assays improves the likelihood that an acceptable assay can be found and agreed upon with the FDA and increases product characterization and understanding.
The 2023 guidance recognizes that redundant assays can be eliminated when multiple options are available.4 It also states that one assay may be sufficient if it is a later step in the chain of biological activities that is completely dependent on the earlier steps. However, many sponsors have not experienced the stated flexibility that the draft guidance offers.
Surrogate Assays
Although the concept of surrogacy assays remains beneficial, the agency omitted the use of this term in the 2023 guidance.4 The adequacy of a surrogate measure is often determined by the strength of the correlation to the proposed biological function. However, in some cases where the MoA is highly complex, conventional measurement methods may yield insensitive or highly variable results. In such scenarios, surrogate assays such as those quantifying clinically relevant biomarkers, may offer a more meaningful source of quantitative data.
A surrogate assay, instead of capturing the entire mechanism of “functional activity” in a single method, provides an alternative measure. Presumably, one that is physiologically and molecularly linked to functional activity and ideally whose outcome may be predictive of preclinical or clinical activity. This may include characterization of one molecular aspect of functional activity particularly when the functional activity of a transgene product is complex and involves multiple molecular events. The use of surrogate assays can strengthen the confidence of potency assessments for C> products, especially when there are limitations to establish a functional potency assay and/or the MoA is not clear.
Points to consider for establishing a surrogate potency assay follow. The extent of the linkage between a surrogate assay related to potency (e.g., T cell activation) and clinical performance should be established through bridging studies during product development. The surrogate assay may not be a bioassay: Surrogate assays may be less variable as compared to a bioassay, which provides an advantage for establishing product consistency and dosing recommendation.
Multiple assays may be needed, and, in some cases, a matrix approach could be considered. Different purposes may require different assays. For example: Bioassays are more meaningful and practical for product characterization, comparability, and stability studies. However, performing a cell-based functional biological assay for release of drug product (DP) is not practical due to limited time from formulation of the cell clusters to administration to the patients. Surrogate measurements (e.g., surface markers) for cellular products may be more appropriate and practical for DP lot release.
Example surrogate measures include biochemical, immunochemical, physical (e.g., phenotype, viable cell numbers), and assays that correlate with biological activity (e.g., messenger ribonucleic acid (mRNA) or protein expression, the activity measure of a single functional domain or protein binding).
Bridging Studies
Bridging studies are performed to build a relationship between a surrogate assay and the performance of the product. The purpose of bridging studies is to explore the relationship between product quality attributes (in this case, surrogate potency assays) and the clinical profile (efficacy). Some aspects of bridging could be done at the preclinical level rather than clinical and it could be used to demonstrate that certain iterations of the product (i.e., forced degradation, presence of certain post-translational modifications, impurities, etc.) do not have the intended functional impact.
Points to consider for the development of bridging studies include the following.
Quantitative linkage
If possible, sponsors should establish a quantitative linkage between the surrogate assay and the biological activity as measured using in vivo studies, in vitro studies, or other characterization of the products biological activity performed as part of the product development.
The FDA’s 2011 potency guidance states that “the correlative relationship between the surrogate measurement and biological activity may be established using various approaches, including comparison to preclinical/proof of concept data, in vivo data (animal or clinical), or in vitro cellular or biochemical data.”3 Previously established scientific knowledge or a platform approach could also provide good rationale for bridging a chosen surrogate measurement to the biological activity.
Embracing this shift toward platform-based methodologies holds the potential to drive advancements across the entire C> field, ultimately enhancing product development and regulatory processes.
Processes and models
The outcome of the bridging studies and relevance of the correlation made will guide the decision-making process for choosing the right surrogate assay for potency. Bridging studies used to demonstrate that the product doesn’t have the intended functional activity would be very challenging for indications that do not have reliable preclinical animal models. In some cases, extremely novel assays may require use of an assay bridging protocol/plan to ensure effective bridging to more conventional assays.
Changes over time and development
It should be recognized that potency assays may change over time and with stages of clinical development. With new scientific information, the test may be optimized, or new tests may be added. When a surrogate method(s) is introduced at a later phase of product development, a bridging study or head-to-head comparison is expected to ensure the adequacy of the replacement of the original test.
More versatile platform approaches
Furthermore, as collaboration between the FDA and developers progresses, there is a growing consensus on the need to transition from highly specialized, product-specific potency assessments to more versatile platform approaches. Analogous to the evolution seen in the monoclonal antibody field, where binding assays replaced highly specific biological assays, such platform approaches offer greater predictability and higher-quality data outputs. Embracing this shift toward platform-based methodologies holds the potential to drive advancements across the entire C> field, ultimately enhancing product development and regulatory processes.
Conclusion
Although there is a need for regulatory flexibility, quality standards should not be compromised for C> products and new approaches may be needed to ensure sufficiently high standards. Even though C> products pose many new challenges, they also bring new concepts and opportunities. In the case of the development of C> potency assays, there is no one-size-fits-all approach. Instead, fit-for-purpose approaches focused on developing activity-based methods or on the use of matrixed surrogate measures can provide a regulatory framework for potency assays that is flexible around some core requirements.
Specifically, we advocate for the following objectives. We encourage continued improvement of product and process understanding, as well as a subsequent evolution to the control strategy enabled through regulatory flexibility, e.g., persistent regulatory recognition that potency assays may change over time and with stage of clinical development given the limited materials available, often with high variability. We advocate for using surrogate measures, especially when the MoA is not clear. We recommend better understanding instances when regulatory flexibility can be applied. For example: a) where testing each component separately is necessary, particularly when the product comprises multiple components that function collectively as a final product; and b) assessing the final product without mandating multiple separate assays, enhancing efficiency without compromising the integrity of the assessment process.
Channels for enhanced communication and increased dialogue with health authorities regarding potency assay approaches will support the development of a roadmap for success. Finally, we encourage efforts for global harmonization on potency considerations for C> products and regulatory convergence in chemistry, manufacturing, and controls (CMC) development, including approaches for potency assays. Reliance and work-sharing approaches will facilitate timely access to safe, effective, and quality-assured medical products on a global scale.
Acknowledgments
We would like to acknowledge the contributions on this topic by the members of the Biotechnology Innovation Organization (BIO), a US trade association. We thank our colleagues and subject matter experts for their critical feedback and editorial input.