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Ординатура / Хирургия / Библиотека им академика М.И. Перельмана / Книга_101_библиотеки_им_акад_М_И_Перельмана

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5.3.5.3 Host Cell Protein and Residual DNA
Analytical Assessment
When developing a new biological product, determining the acceptable limits of HCP (host cell proteins) and residual DNA involves demonstrating the feasibility of reducing this adverse attribute, evaluating the relative safety risk of the specic products, and monitoring these attributes. Both HCP and residual DNA are dependent on organism strain, so even if developers use the same expression system, replicating the originator’s exact strain is impossible. Since HCP and residual DNA are strain- specic, directly comparing the relative safety of a proposed biosimilar product is only feas­ible through comprehensive safety studies assessing these attributes. Regulatory agencies necessi­tate a critical analysis of HCP and residual DNA, acknowledging that these might differ from those in the originator product. A 2D SDS resolution is also recommended to address these components for both the test and reference products. Claiming similarity between HCP and residual DNA in the test and originator product is challenging. While it is true that the HCP and residual DNA in a proposed biosimilar product may not match those in the reference product, if the same expres­sion system (e.g., E. coli) is used, there is a high likelihood that safety will be proportional to the quantity of these components, despite any specic activity associated with a particular component. Consequently, it is plausible for the test product to demonstrate non- inferiority through an equiva­lence range approach.
5.3.6 lot- to- lot vaRiability
Observed lot- to- lot variability may stem from manufacturing conditions and analytical assay differences. Factors contributing to variability between lots in the production of a protein product include the origin of specic raw materials (such as growth medium, resins, or separation materials) and distinct manufacturing sites. Hence, it is crucial in the comparative analytical assessment to adequately characterize lot- to- lot variability of the reference product and a proposed biosimilar product.
In certain instances, modications to the manufacturing process of a proposed biosimilar product may be necessary to address differences observed in the comparative analytical assessment. Data demonstrating resolution of observed differences through manufacturing changes should be provided, along with evidence that other quality attributes were not signicantly impacted. If other attributes were affected by the manufacturing change, data should illustrate evaluation and mitiga­tion of the change’s impact.
5.3.7 PRoduct- oR PRocess- Related substances
Advances in analytical sciences— both physicochemical and biological— have signicantly enhanced the characterization of various protein products in terms of their physicochemical and biological properties. These analytical procedures have markedly improved the capability to iden­tify and characterize the intended product, as well as product- related substances and impurities associated with the product and its manufacturing process.
The terminology “product- related substances” and “product- and process- related impurities” aligns with the usage and signicance outlined in the ICH Q6B guidelines. A product- related sub­stance refers to a variant of the targeted substance exhibiting at least 80% of the activity of the active target drug substance. Impurities can either be active or inactive.
It is imperative to identify, appropriately characterize, quantify, and compare the product- related impurities and substances using multiple lots of both the proposed biosimilar product and the refer­ence product. This comparison, to the extent feasible and relevant, forms a crucial part of assessing potential impacts on the safety, purity, and potency of the product.
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5.3.8 Method sensitivity
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Regulatory agencies advocate for the utilization of state- of- the- art technology. Developers should employ analytical methodologies with adequate sensitivity and specicity to discern differences between a proposed biosimilar product and the reference product.
Advancements in manufacturing science and production methods have increased the likelihood of demonstrating similarity between a proposed biosimilar product and the reference product, espe­cially by targeting the physicochemical and functional properties of the reference product. However, despite advances in analytical sciences, some differences between protein products may be detected that might not be clinically relevant. Nevertheless, employing highly sensitive methods that demon­strate similarity provides increased condence and reduces the need for additional studies.
Despite improvements in analytical techniques, the current methodology may not identify all relevant structural and functional differences between the two protein products. Understanding the limitations of each analytical method is crucial for developers to identify residual uncertainties and plan subsequent testing. Additionally, there might be an incomplete understanding of how a product’s structural attributes correlate with its clinical performance.
Contrary to routine quality control assays, tests utilized for characterizing the product do not necessarily need validation. However, they should be scientically sound, suitable for their intended purpose, and capable of producing reproducible and reliable results. Selection of these tests should consider the characteristics of the protein product, including known and potential impurities. Information on a method’s ability to discern pertinent differences between a proposed biosimilar product and the reference product should be included in the comparison. The methods should dem­onstrate appropriate sensitivity and specicity to provide meaningful insights into the similarity between the two products.
5.3.9 coMPaRative testing
In contrast to the standalone testing conducted for a new drug to establish its characteristics, the development of biosimilars doesn’t necessitate such independent testing for safety or efcacy. Instead, all testing is carried out comparatively, emphasizing a pivotal difference in establishing test methods, protocols, and their scopes for comparison, not characterization.
Comparative analytical data serve as the cornerstone for developing a proposed biosimilar product, inuencing decisions about the necessary type and quantity of animal and clinical data to support demonstrating biosimilarity. Comprehensive and robust comparative physicochemical and functional studies, which may include biological assays, binding assays, and enzyme kinetics, should be performed to evaluate a proposed biosimilar product against the reference product.
A comprehensive comparative analytical assessment relies signicantly on the capabilities of state­of- the- art analytical assays. These assays determine various factors such as the protein’s molecular weight, complexity (including higher- order structure and post- translational modications), degree of heterogeneity, functional properties, impurity proles, and degradation proles, all of which indi­cate stability. Developers must detail the capabilities and limitations of the methods employed in these analytical assessments. Alternative analytical study methods offer distinct perspectives on quality attributes without redundantly testing the same attribute or utilizing a method that does not offer a unique viewpoint. It is imperative not to disregard a failed test based solely on orthogonal testing.
In conducting comparative analytical assessments, risk ranking and data analysis evaluate numerous attributes, often utilizing multiple orthogonal assays. Regulatory agencies assess the entirety of the analytical data. Failure to meet specic criteria in a particular assay alone does not necessarily negate the demonstration of similarity. If differences between products arise during the comparative analytical assessment (even within components not initially part of the risk ranking),
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developers may provide additional scientic information (such as risk assessment and supplemen­tary data) along with justication for why these differences do not hinder demonstrating similarity between the products.
5.3.10 side- by- side testing
For a proposed biosimilar product, developers should conduct comparative testing through side­by- side analyses of an appropriate number of lots of both the proposed biosimilar product and the reference product. Where available and suitable, comparison with an internal reference standard for relevant attributes (e.g., potency) should also be included. Evaluating multiple lots of both the ref­erence and proposed biosimilar products allows for estimating variability across different lots. The required number of lots may vary case by case, and developers should provide a scientic rationale for their choice.
The emphasis on side- by- side testing is crucial in resolving variability in test methods, espe­cially those that cannot be entirely validated. Conducting tests simultaneously helps resolve most, if not all, differences in test method reliability. Consequently, any published data concerning refer­ence product quality attributes cannot be used for comparison with a proposed biosimilar product. Similarly, using a reference standard to match attributes between a proposed biosimilar product and the reference product is not valid. These limitations apply even to established attributes such as molecular weight, sequence, or other xed attributes.
5.3.11 heteRogeneity
Therapeutic proteins, being produced in living systems, naturally exhibit variability in certain quality attributes. This variability can arise from various sources and signicantly impact the anticipated clinical performance of a protein product. Errors during replication in the DNA encoding the pro­tein sequence and misincorporation of amino acids might occur during translation, although these errors typically remain at low levels. Furthermore, most protein products undergo post- translational modications that can modify the protein’s functions by attaching additional biochemical groups like phosphate, lipids, carbohydrates, undergoing proteolytic cleavage after translation, changing the chemical nature of an amino acid (e.g., formylation), or through numerous other mechanisms. These modications may result from intracellular activities during cell culture or intentional modications of the protein (e.g., PEGylation). Additionally, manufacturing process operations might lead to other post- translational modications; for instance, glycation may occur due to the product’s exposure to reducing sugars. Certain storage conditions could also facilitate or impede specic degradation pathways like oxidation, deamidation, or aggregation. These various product- related variants have the potential to alter the biological properties of the expressed recombinant protein. Therefore, it’s crucial to include the identication and determination of these variants’ relative levels in compara­tive analytical characterization studies.
5.3.12 stRuctuRe confiRMation
The three- dimensional conformation of a protein signicantly inuences its biological function. Proteins typically display intricate three- dimensional conformations (tertiary structure and, occa­sionally, quaternary structure) owing to their size and the rotational traits of protein alpha carbons, among other factors. This inherent exibility allows for dynamic yet subtle changes in protein con­formation over time, some of which may be necessary for functional activity. These rotations are frequently reliant on low- energy interactions, such as hydrogen bonds and van der Waals forces, which can be highly sensitive to environmental conditions. Present analytical technology is capable of assessing the three- dimensional structure of numerous proteins. Utilizing multiple, pertinent,
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cutting- edge methods can aid in dening tertiary protein structure and, to varying degrees, quater­nary structure, thereby contributing to the information supporting biosimilarity. However, precisely dening a protein’s three- dimensional conformation with current physicochemical analytical tech­nology can pose challenges. Any disparities in higher- order structure between a proposed biosimilar product and the reference product should be scrutinized regarding potential impacts on protein function and stability. Consequently, functional assays are essential tools for evaluating the integrity of higher- order structures.
5.3.13 accePtance cRiteRia
The acceptance criteria for each test are established by initially conducting exploratory tests on both the reference product and the proposed biosimilar product. This approach leads to dening specications and acceptance criteria. A formal study, necessitating a specic number of lots determined by statistical calculations, compares the proposed biosimilar product with the refer­ence product. Agencies encourage developers to consult with them to ensure the evaluation of an appropriate number of lots. Specic lots of the reference products used in comparative analytical studies, including expiration dates, analysis time frames, and their utilization in nonclinical or clin­ical studies, must be identied. This information substantiates acceptance criteria, ensuring product consistency, and supporting the comparative analytical assessment between the proposed biosimilar product and the reference product.
However, the acceptance criteria should not solely rely on the observed range of product attributes of the reference product. Instead, they should be based on comprehensive analytical data evidence. Certain product attributes interact, collectively inuencing a product’s safety, purity, and potency prole. Hence, their potential interactions should be considered when establishing specications. For instance, in some glycoproteins, the content and distribution of tetra- antennary and N- acetylglucosamine repeats can collectively affect in vivo potency, and their evaluation should not occur independently.
Furthermore, data obtained from lots used in nonclinical and clinical studies, along with pertinent information on attribute- drug product performance relationships, can aid in establishing acceptance criteria. Refer to the ICH guidance for industry Q8(R2) Pharmaceutical Development (November
2009) for more details.
5.3.14 oRthogonal testing
To comprehensively address physicochemical properties or biological activities, multiple analyt­ical procedures are often necessary for evaluating the same quality attribute. Methods using diverse physicochemical or biological principles to assess the same attribute are particularly valuable as they offer independent data supporting that attribute (e.g., employing orthogonal methods to assess aggregation). Utilizing complementary analytical techniques in sequence, such as combining pep­tide mapping or capillary electrophoresis with mass spectrometry of separated molecules, offers a meaningful and sensitive approach to compare products.
Extensive analytical characterization may reveal differences between the reference product and a proposed biosimilar product, particularly when employing techniques capable of discerning qualitative or quantitative attribute variations. Prioritize the development of orthogonal quantitative methods to denitively identify any differences in product attributes. However, an orthogonal test should offer an alternative perspective on the quality attribute, or in cases where the validity of a test might be questioned. For instance, using both UV absorbance and HPLC to determine protein content could be considered. Nevertheless, the specication must always be denitive, leaving no ambiguity in the choice of testing method.
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5.3.15 accountability of lots
Analytical Assessment
The developer must ensure inclusion and characterization of all acquired reference product lots. The application should encompass data and information from all evaluated reference products and proposed biosimilar product lots across various studies: physicochemical, functional, animal, and clinical. Justication for the selection or exclusion of specic lots in analytical studies should be provided. The application should contain the dates of analytical testing and product expiration. Generally, expired reference product lots should not be included in the comparative analytical assessment due to potential deviations from typical observations in unexpired lots, leading to overestimated variability. Testing expired lots may be acceptable under certain storage conditions, such as long- term frozen storage at − 80°C. The developer should submit data conrming that storage conditions do not compromise product quality.
Similar information and data gathered for reference product lots should also be provided for each manufactured drug substance and product lot of the proposed biosimilar.
All reference and proposed biosimilar product lots used in clinical studies (e.g., PK and PD studies, if applicable, similarity and comparative clinical study) must be included in the comparative analytical assessment.
Combining data from two reference products in testing is prohibited as it may lead to broader similarity acceptance criteria than relying solely on data from one reference product, potentially enlarging the range.
If the drug substance is extracted from the reference product for analytical studies, the developers should detail the extraction procedure. They must demonstrate that the procedure itself does not alter relevant product quality attributes, including impurities and product- related substances. Appropriate controls should ensure that the extraction procedure does not signicantly modify the relevant characteristics of the protein.
5.3.16 cRitical Quality attRibutes
When conducting the comparative analytical assessment to establish biosimilarity, developers should consider all factors impacting the safety and efcacy of the proposed biosimilar product.
Critical quality attributes pertinent to analytical similarity can be categorized as inherent and legacy attributes. Inherent attributes include variable properties intrinsic to the manufacturing pro­cess, resulting in lot- to- lot variability. This classication covers both process- and product- related factors, such as post- translational modications in cytokines and antibodies. Legacy attributes are xed characteristics not subject to lot- to- lot variation, including the total mass of a protein (in some cytokines but not monoclonal antibodies), amino acid sequence, and other reported properties like disulde bond positions. These characteristics are documented in protein databases, patents, publications, and pharmacopeias. Another category of legacy attributes encompasses labeled specications of inactive ingredients and product characteristics such as pH, and osmolality.
While legacy attribute specications signicantly characterize the reference product, a proposed biosimilar product still requires testing against reference product lots. This is because the reference product isn’t obligated to comply with any legacy attributes. Moreover, conducting side- by- side tests helps mitigate the impact of test method variability in identifying clinically meaningful differences between a proposed biosimilar product and the reference product. However, the release specications for various quality attributes can be established independently based on established principles ensuring the product’s efcacy. For example, protein content (e.g., ±3%), bioactivity (e.g., ±15%), post- translational modications (e.g., ±10%), subvisible particles (USP specication), physical properties (e.g., pH, osmolality, density, etc., ±10%), aggregates (e.g., ±10% of the average from multiple lots of RP), ll volume (USP specication), impurities (e.g., no more than 3%, no single impurity more than 1%, and no unidentied impurity). Developers may propose other limits based on multiple analyses of reference product lots. The core principle in establishing analytical
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TABLE 5.1
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Common Critical Quality Attributes
Quality Attribute Criticality Potential Impact Suggested Analytical Methods
Amino acid sequence Very high Efcacy, safety Peptide mapping, MS, Edelman degradation Glycan structure and content Very high Efcacy, safety Glycan wnalysis Biological activity Very high Efcacy, safety Bioassay Immunochemical identity Very high Efcacy, safety SDS- PAGE+ immunoblotting, immunoassay Higher- order structure High Efcacy, safety Spectrophotometric, thermodynamic Methods Isoform distribution High Efcacy Isoelectric focusing Insoluble aggregates High Safety Light obscuration High- molecular- weight aggregates High Safety SE- HPLC, AUC, SDS- PAGE Protein content High Efcacy UV; use HPLC as an orthogonal method Host cell proteins High Safety SPR spectroscopy, cell- based assay Receptor binding High Efcacy SPR, cell- based assay Truncated forms Low Efcacy Reference product HPLC, other chromatography Deamidation, oxidation Low Efcacy Chromatography
Notes: AUC, analytical ultracentrifugation; HPLC, high- performance liquid chromatography; MS, mass spectroscopy;
SDS- PAGE, sodium sulfate polyacrylamide gel electrophoresis; SE, sedimentation equilibrium; SPR, surface plasmon resonance; UV, ultraviolet
similarity and release specications for drug substance and drug product is to eliminate uncertainties that could potentially impact safety and subsequently efcacy. For example, protein content (e.g., ±3%), bioactivity (e.g., ±15%), post- translational modications (e.g., ±10%), subvisible particles (USP specication), physical properties (e.g., pH, osmolality, density, etc., ±10%), aggregates (e.g., ±10% of the average from multiple lots of RP), ll volume (USP specication), impurities (e.g., no more than 3%, no single impurity more than 1%, and no unidentied impurity). Developers may propose other limits based on multiple analyses of reference product lots. The core principle in establishing analytical similarity and release specications for drug substance and drug product is to eliminate uncertainties that could potentially impact safety and subsequently efcacy.
Critical quality attributes are identied based on their impact on the product’s safety and efcacy. Table 5.1 provides a non- exhaustive list of various attributes and their classication. The choice of the test method depends on the criticality of the attribute.
5.3.17 RefeRence standaRd
Using a proposed biosimilar product in comparison with a publicly available standard, such as a pharmacopeia monograph or a reference standard, is not permitted for conducting comparative testing to establish biosimilarity. It is crucial to emphasize that any specications from a pharmaco­peia monograph or a reference standard provided by third parties are not deemed suitable to estab­lish biosimilarity.
Pharmacopoeia reference standards are unsuitable for conducting comparative studies; their usage is restricted solely to test method qualication. A qualied reference standard should be internally developed by the developer, based on its thoroughly characterized batch.
While a physicochemical and functional comparison of a proposed biosimilar product with a suitable, publicly available, and well- established reference standard for the protein might offer valuable insights, studies with such a reference standard alone are insufcient to demonstrate the biosimilarity of the proposed biosimilar product to the reference product. For instance, if there exists an international standard for calibrating potency, it is necessary to compare the relative potency of a
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proposed biosimilar product with this potency standard. According to the recommendations outlined in ICH Q6B, in- house reference standard(s) must always be qualied and employed to control both the manufacturing process and the product.
Typically, an in- house reference standard is developed from early development lots or lots used in clinical studies. Additional reference standards may be qualied later in the development process and for submission. Ideally, developers will establish and properly qualify primary and working reference standards representative of proposed biosimilar product lots used in supporting clinical studies.
When developing a proposed biosimilar product, the reference product lot usually under­goes qualication as an initial reference standard. After manufacturing clinical lots of a proposed biosimilar product, one of these lots is expected to be appropriately qualied (including bridging to previous reference standards) for use as a reference standard for release, stability, and comparative analytical testing. Ideally, once an in- house reference standard is fully qualied, sufcient quantities should be available for use throughout the proposed biosimilar product’s development. All reference standard lots used during the development should be suitably qualied. Additionally, the quali­cation protocol for reference standards should encompass all analytical methods reporting results relative to the reference standard.
For all methods reporting results relative to the reference standard, the assignment of potency at 100% should incorporate a narrow acceptable potency range to ensure control over product drift. For example, developers should consider utilizing a predetermined two- sided condence interval (CI) of the mean of the replicates, where the mean relative potency and the 95% CI fall within a sufciently narrow range (e.g., 90%– 110%). An evaluation across multiple reference standard qualications should be conducted to address potential drift over the history of qualication.
Developers should refrain from using a correction factor to compensate for differences in potency or biological activity between reference standards.
Using a proposed biosimilar product in comparison with a publicly available standard, such as a pharmacopeia monograph or a reference standard, is not permitted for conducting comparative testing to establish biosimilarity. It is crucial to emphasize that any specications from a pharmaco­peia monograph or a reference standard provided by third parties are not deemed suitable to estab­lish biosimilarity.
5.4 FINISHED DRUG PRODUCT
Product characterization studies for a proposed biosimilar product should focus on the most down­stream intermediate that best suits the analytical procedures. The assessed attributes should remain stable through subsequent processing steps. Consequently, characterization studies are typically conducted on the drug substance. However, if a drug substance undergoes reformulation and comes into contact with new materials in the nished dosage form, the effects of these changes must be considered. Whenever feasible, if the nished drug product is better suited for a particular ana­lysis, developers should analyze the nished drug product. If an analytical method detects specic attributes in the drug substance more sensitively, but these attributes are critical and susceptible to change during the manufacture of the nished drug product, a comparative characterization may be necessary for both the extracted protein and the nished drug product.
Proteins are highly sensitive to their environment. Consequently, differences in excipients or primary packaging could impact product stability and clinical performance. Discrepancies in for­mulation and primary packaging between a proposed biosimilar product and the reference product are factors that could inuence the selective and targeted approach of subsequent clinical studies. Referencing the ICH guidance for industry Q8(R2) Pharmaceutical Development (November
2009) is advisable. Developers should clearly identify excipients used in a proposed biosimilar product that differ from those in the reference product. The acceptability of differences in the type,
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nature, and extent of excipients between the nished proposed biosimilar product and the nished reference product should be evaluated and supported by appropriate data and rationale. Furthermore, the inclusion of different excipients in a proposed biosimilar product should be substantiated either by existing toxicology data for the excipient or by additional toxicity studies formulated specically for the proposed biosimilar product.
After a drug substance has undergone purication through the downstream process, it’s considered a chemical entity rather than a biological one. Consequently, it becomes subject to all cGMP requirements applicable to any other chemical drug’s ll and nish process. Nevertheless, there are exceptional considerations such as proteins desorbing to the lling line, aggregate forma­tion during lling, and concentration changes throughout the process. Cleaning validation of the ll and nish equipment poses a signicant challenge. To mitigate risks associated with potential con­tamination of the protein solution by a chemical entity, albeit at a minimal concentration, a preferred method involves using a dedicated lling head for these operations. Further reduction in contamin­ation risk is achieved by utilizing single- use heads.
5.4.1 exciPients
Proposed biosimilar products may contain different inactive ingredients compared to those disclosed in the reference product’s prescribing information. This allowance aids developers in over­coming potential patent protections related to formulations extending beyond the biological entity’s gene patents. However, this alteration introduces additional challenges in demonstrating that the choice of inactive ingredients doesn’t induce adverse responses in terms of toxicity, pharmacokin­etics (including absorption), or product efcacy. Although incidents of toxicities are rare, notable examples such as pure red cell aplasia (PRCA) caused by changes in erythropoietin formulation and administration [McKay, J, et al., Epoetin- associated pure red cell aplasia: past, present, and future considerations. Transfusion, 48(8), July 2008] methods highlight the importance of careful consid­eration. Early biosimilars faced these challenges when the understanding of biosimilars was in its infancy. Today, such changes would not be permitted without a thorough investigation to identify associated risks.
Developers are advised to initially consider the formulation of the reference product as the pre­ferred formulation, relying on the analysis of the reference product. They should establish release limits for any inactive substances solely based on the prole obtained for the RP. For instance, surfactants, commonly used in biological drug formulations, may exhibit concentration variations of 30%– 50%. The purity of surfactants is crucial, and in some cases, it is recommended to discard any remaining surfactant in a new container to avoid potential safety risks to the product.
As a secondary option, developers can consider using a different formulation based on ingredients generally recognized as safe for parenteral products, avoiding the use of unusual components.
Opting for unique inactive ingredients as the nal choice would necessitate more extensive safety studies, potentially leaving residual uncertainty about the formulation. Often, it’s not feasible to infer the toxicity of proteins solely from analytical assessments. One must consider excipient interactions along with direct toxicities.
5.4.2 stability
As part of an appropriate comparison of the stability prole between a proposed biosimilar product and the reference product, it’s crucial to conduct accelerated and stress stability studies. Forced degradation studies should also be employed to establish degradation proles and enable a direct stability comparison. These comparative studies should encompass multiple stress conditions (e.g., high temperature, freeze- thaw cycles, light exposure, and agitation), causing gradual product degrad­ation over a dened period. The results from these studies may uncover product disparities requiring
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further evaluation and help identify conditions necessitating additional controls in manufacturing and storage. Refer to ICH guidance for industry Q5C Quality of Biotechnological Products: Stability Testing of Biotechnological/ Biological Products (July 1996) and Q1A(R2) Stability Testing of New Drug Substances and Products (November 2003). Sufcient real- time, real- condition stability data from a proposed biosimilar product should validate the proposed shelf life.
Regulatory agencies expect a proposed biosimilar product to undergo side- by- side qualitative and quantitative testing for degradants’ types and levels. However, challenges arise in sourcing refer­ence products with production dates similar to those of proposed biosimilar products. Additionally, determining an acceptable deviation from theoretical degradation rates based on declared shelf- life remains a concern.
Developers must present data from at least three lots, potentially including development lots placed under stability testing. The stability study should extend for at least six months, aiming to obtain linear regression coefcients of degradation with high statistical signicance (r2). These degradation rates’ slopes are then compared with theoretical rates. For instance, if a product has a 36- month shelf- life with a stability limit of no more than 3% degradation, the theoretical slope of the regression line can be calculated. A proposed biosimilar product should not exhibit a higher degrad­ation rate than predicted theoretically, even if the reference product demonstrates a higher rate that compromises the projected expiration dating.
Developers must recognize that stability data for proposed biosimilar products are instrumental in identifying structural differences in the protein structure, along with other factors contributing to degradation. Forced degradation studies hold particular signicance as they highlight the stability of ner structures within the molecule.
5.4.3 inteRnational council foR haRMonisation
The regulatory guidance describes considerations for Chemistry, Manufacturing, and Controls (CMC) information to assess the similarity of a proposed biosimilar product to the reference product. All product applications must include a complete CMC section providing necessary information (such as characterization, safety from adventitious agents, process controls, and specications) to support the consistent delivery of a product with intended quality characteristics. Several ICH guidelines (Table 5.2) are relevant to presenting this guideline. However, Agencies are not obligated to accept recommendations from these guidelines.
5.4.4 exaMPles of testing Methods
Developers are advised to create a comprehensive testing protocol based on the product’s nature. Below is a suggested test list for physicochemical and biological assessment of TNF alpha- blockers (Table 5.3) and oncology antibodies (Table 5.4).
ADCC: antibody- dependent cell- mediated cytotoxicity; AlphaScreen® and AlphaLISA® (amplied luminescent proximity homogeneous assay) are bead- based assay technologies used to study biomolecular interactions in a microplate format; CD: circular dichroism; CDC: complement- dependent cytotoxicity; CE- SDS: capillary electrophoresis– sodium dodecyl sulphate; CEX- HPLC: cation exchange– high- performance liquid chromatography; DSC: differential scanning calorimetry; FcRn: neonatal Fc receptors; FRET: uorescence resonance energy transfer; Gal: galactosylated glycans; HDX- MS: hydrogen– deuterium mass spectrometry; HILIC- UPLC: hydrophilic interaction liquid chromatography– ultra- performance liquid chromatography; HMW: high molecular weight; icIEF: imaging capillary isoelectric focusing; ITF: intrinsic uores­cence spectroscopy; LC- ESIMS: liquid chromatography– electrospray ionization– mass spectrometry; LC/ MS: liquid chromatography– mass spectrometry; LC- ESI- MS/ MS: liquid chromatography– electrospray ionization– tandem mass spectrometry; PBMCs: peripheral blood mononuclear cells;
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TABLE 5.2
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Pertinent ICH Guidelines for Biosimilars
ICH guidance for industry M4: The CTD — Quality (ICH
M4Q) (August 2001)
ICH guidance for industry Q2(R1) Validation of Analytical
Procedures: Text and Methodology (ICH Q2(R1) (November 2005)
ICH guidance for industry Q3A(R) Impurities in New Drug
Substances (ICH Q3A(R)) (June 2008)
ICH guidance for industry Q5B Quality of Biotechnological
Products: Analysis of the Expression Construct in Cells Used for Production of r- DNA- Derived Protein Products (ICH Q5B) (February 1996)
ICH guidance for industry Q5D Quality of Biotechnological/
Biological Products: Derivation and Characterization of Cell Substrates Used for Production of Biotechnological/ Biological Products (ICH Q5D) (September 1998)
ICH guidance for industry Q6B Specications: Test
Procedures and Acceptance Criteria for Biotechnological/ Biological Products (ICH Q6B) (August 1999)
ICH guidance for industry Q8(R2) Pharmaceutical
Development (ICH Q8(R2)) (November 2009)
ICH guidance for industry Q10 Pharmaceutical Quality
System (ICH Q10) (April 2009)
ICH guidance for industry S6(R1) Preclinical Safety
Evaluation of Biotechnology- Derived Pharmaceuticals (ICH S6(R1)) (May 2012)
ICH guidance for industry Q1A(R2) Stability Testing of
New Drug Substances and Products (ICH Q1A(R2)) (November 2003)
ICH guidance for industry Q2B Validation of Analytical
Procedures: Methodology (ICH Q2B) (May 1997)
ICH guidance for industry Q5A Viral Safety Evaluation
of Biotechnology Products Derived from Cell Lines of Human or Animal Origin (ICH Q5A) (September 1998)
ICH guidance for industry Q5C Quality of
Biotechnological Products: Stability Testing of Biotechnological/ Biological Products (ICH Q5C) (July
1996)
ICH guidance for industry Q5E Comparability of
Biotechnological/ Biological Products Subject to Changes in Their Manufacturing Process (ICH Q5E) (June 2005)
ICH guidance for industry Q7 Good Manufacturing
Practice Guidance for Active Pharmaceutical Ingredients (ICH Q7) (September 2016)
ICH guidance for industry Q9 Quality Risk Management
(ICH Q9) (June 2006)
ICH guidance for industry Q11 Development and
Manufacture of Drug Substances (ICH Q11) (November
2012)
SEC: size exclusion chromatography; SEC- MALLS/ RI: size exclusion chromatography– multi- angle laser light scattering/ refractive index; SPR: surface plasmon resonance; SV- AUC: sedimentation velocity analytical ultracentrifugation; UV: ultraviolet; UV/ VIS: ultraviolet visible.
5.4.5 RisK assessMent
Developers are recommended to create a risk assessment tool to evaluate and rank the reference product’s quality attributes concerning their potential impact on the mechanism(s) of action and product function. Certain quality evaluations of the reference product (e.g., degradation rates determined from stability or forced degradation studies) generally should not be part of the risk ranking. However, these evaluations should still be considered in the comparative analytical assessment of a proposed biosimilar product and the reference product.
The development of a risk assessment tool should take into account various pertinent factors, including:
• Potential Impact on Clinical Performance: It is advised that the developer carefully considers how an attribute may impact activity, PK/ PD, safety, efcacy, and immunogenicity. This evaluation should draw from publicly available information and the developer’s assessment of the reference product.