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

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2.2 ANALYTICAL CONSIDERATIONS
Regulatory Requirements
The methods dened in ICH Q6B are used to appropriately characterize the reference product. Some of these characterizations involve determining the physicochemical qualities, biological activity, immunochemical properties (if any), purity, impurities, contaminants, and quantity. Developers are encouraged to adopt newer technologies as available. As the quality attributes of the reference product vary from batch to batch, it is essential to establish the range of these variations to allow similar variability in the biosimilar candidate. The variations are either process- related (the expres­sion system) or product- related (the manufacturing system). Generally, any variation in the product­related attributes cannot be resolved, requiring the developer to create a different expression system; the same can be the case for process- related attributes, but these are readily xed. In both cases, safety studies cannot be submitted to justify a signicant difference.
While most attributes are common to many products, in most cases, the criticality also depends on the manufacturing process and its robustness. Developers should know that some quality attributes are compared at the analytical assessment level, while others are evaluated at the release level. The latter includes all manufacturing process attributes such as PTMs, impur­ities, aggregates, subvisible particles, and physical properties. Impurities form a crucial basis for establishing biosimilarity, as an unidentied impurity, regardless of whether it is product- related (likely to be active) or process- related (unlikely to be active), must be studied for its safety poten­tial. Safety issues are not necessarily related to the quantity of the unidentied impurities; there­fore, even a small detectable amount of impurity should be thoroughly studied. Otherwise, the impurities may create only a small difference in the bioactivity of the product. The developers are strongly urged to modify the manufacturing process to remove any unidentied impurity to remove residual uncertainty, which may lead to extensive nonclinical and clinical studies. Other attributes such as aggregates and subvisible particles can affect negatively, and these must be minimized through process changes. Noteworthy, shaking protein products may produce more aggregates, as evident from the warnings on the label of some products such as erythropoietin, which mentions to avoid shaking the product.
It is the applicant’s responsibility to demonstrate that the selected methods used in a proposed biosimilar comparability exercise would detect slight differences in all aspects pertinent to the evaluation of quality (e.g., ability to detect relevant variants with high sensitivity). Methods used in the characterization studies form an integral part of the quality data package and should be appro­priately qualied for comparability. If applicable, standards and reference materials (e.g., from the European Pharmacopoeia, World Health Organization, etc.) should be used for the qualication and standardization of a method.
For some analytical techniques, direct or side- by- side analysis of a proposed biosimilar and ref­erence product may not be feasible or may provide limited information (e.g., because of the low concentration of the active substance and the presence of interfering excipients such as albumin). Thus, samples could be prepared from the nished product (e.g., extraction, concentration, and other suitable techniques). In such cases, the methods used to prepare the samples should be outlined. Their effect on the samples should be appropriately documented and discussed (e.g., comparing active substances before and after formulation/ reformulation preparation).
As analytical similarity evaluation forms the backbone for establishing biosimilarity, the largest investment is likely made in terms of establishing appropriate testing within the laboratories or outsourcing it. Even in case of outsourcing, in- house testing is inevitable to ensure that the process changes are reasonable to ensure compliance. Test methods for the analytical assessment of simi­larity need not be validated. These must be suitable and sensitive, such as the test methods used for comparing the primary, secondary, and tertiary structure elements. Test methods for the release of the product must be validated. This difference in the need for validation comes from the side- by- side testing of the reference product with a proposed biosimilar product where method variance will be
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Regulatory Requirements
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the same for both products. Additionally, some methods such as mass spectrometry, nuclear mag­netic resonance spectroscopy, dynamic light scattering/ static light scattering, circular dichroism, and isothermal titration are difcult to validate.
Regulatory agencies are particularly sensitive to compliance with 21 CFR Part 11, a consider­ation where many companies frequently fail. Noteworthy, the agencies do not necessarily require that any IT basis is created; often, a manual record will also qualify, but the developer should always be able to prove that the original data remain intact and that it could not be manipulated.
2.2.1 PhysicocheMical PRoPeRties
A physicochemical characterization program should include determining the composition, phys­ical properties, and primary and higher- order structures (HOS) of a proposed biosimilar, using appropriate methodologies. The target amino acid sequence of the proposed biosimilar should be conrmed and is expected to be the same as that for the reference product. The N- and C- terminal amino acid sequences, free SH groups, and disulde bridges of the proposed biosimilar should be compared with those of the reference product, as appropriate. Any modications/ truncations should be quantied, and any intrinsic or expression system– related variability should be described. Any detected differences between the proposed biosimilar and the reference product should be justi­ed concerning the micro- heterogeneous pattern of the reference product (e.g., C- terminal lysine variability).
The presence and extent of PTMs (e.g., glycosylation, oxidation, deamidation, and truncation) should be appropriately characterized. Carbohydrate structures, if present, should be thoroughly compared, including the overall glycan prole, site- specic glycosylation patterns, and site occu­pancy. The presence of glycosylation structures or variants not observed in the reference product may raise concerns and require appropriate justication, with particular attention to nonhuman structures (nonhuman linkages, sequences, or sugars).
2.2.2 nonclinical testing
Once a product has been scaled up to the development level, developers may consider conducting nonclinical pharmacology studies where needed. Agencies encourage developers to justify waivers for conducting nonclinical studies based on the analytical assessment conducted, prior public know­ledge about the product’s toxicity, and relevance of animal data to the safety and efcacy of the product. Recently, agencies have begun to accept waivers even for complex molecules.
The Biological Price Competition and Innovation Act (BPCIA) has been amended effective January 2023, wherein the term “animal toxicology” has been removed and the term “nonclinical” testing has been added instead. As biological drugs act by receptor binding and animals may not have these receptors, there is no further need to perform any animal toxicology study. This also means that developers cannot use animal safety data to support any difference in the analytical prole.
The developers should understand that the purpose of animal pharmacokinetic (PK) studies is to remove any structural similarity, as the disposition characteristics of the product may indicate differences in the structure and any immunogenic response that might affect drug clearance from the body.
A proposed biosimilar comparability exercise should include assessing the biological proper­ties of both the proposed biosimilar and the reference product as an essential step in establishing a complete characterization prole. Biological activity is the specic ability of the product to achieve a dened biological effect. Biological assays that use different and complementary approaches to measure the biological activity of the product should be considered, as appropriate. Depending on the
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Regulatory Requirements
product’s biological properties, different types of assays can be used (e.g., ligand or receptor binding assays, enzymatic assays, cell- based assays, and functional assays), considering their limitations.
Next, complementary or orthogonal approaches should be performed to address any limitations in the validation characteristics of single bioassays. If relevant, separate assays should be performed to evaluate the binding and activation of receptors. Where appropriate, cross- reference to nonclinical and clinical section(s) of the dossier may be made. Biological assays are sensitive, specic, and suf­ciently discriminatory. The results of relevant biological assay(s) should be provided and expressed in units of activity calibrated against an international or national reference standard, when avail­able and appropriate. These assays should comply with appropriate requirements of the European Pharmacopoeia for biological assays, if applicable.
2.2.2.1 Immunochemical Properties
The immunological functions of monoclonal antibodies and related substances (e.g., fusion proteins based on IgG Fc) should be thoroughly compared. This would typically include a comparison of the afnity of the products to the intended target. Moreover, the afnity of Fc- binding ligands to rele­vant receptors (e.g., FcγR, C1q, FcRn) should be compared unless justied. Appropriate method­ologies should also be used to compare the ability of the monoclonal antibodies to induce Fab- and Fc- associated effector functions.
2.2.3 PuRity and iMPuRity PRofiles
When developing a biosimilar, impurity proling is required, and guidelines for product- related variations with the innovator are established. For instance, a biosimilar may contain fewer impur­ities in terms of type and quantity, but there must be no mismatched contaminant; this cannot be supported by a safety study unless the reference product is shown to contain an impurity that is harmless.
The purity and impurity proles of a proposed biosimilar and the reference product should be compared qualitatively and quantitatively by combining different analytical procedures. Appropriate orthogonal and state- of- the- art methods should be used to identify and compare product- related substances and impurities. This comparison should consider specic degradation pathways (e.g., oxidation, deamidation, and aggregation) of the proposed biosimilar product and the potential PTMs of the proteins. The age/ shelf- life of the reference product at the time of testing should be mentioned, and its potential effect on the quality prole should be discussed, where appropriate. A comparison of the relevant quantitative attributes tested at selected time points and storage conditions (e.g., accelerated or stress conditions) could be used to further support the similarity of the degradation pathways between the reference product and the biosimilar.
Process- related impurities (e.g., host cell proteins, host cell DNA, reagents, and downstream impurities) are expected to differ qualitatively from process to process. Therefore, a qualitative com­parison of these parameters may not be relevant in a proposed biosimilar comparability exercise. Nevertheless, state- of- the- art analytical technologies following existing guidelines and compendial requirements should be applied. The potential risks related to these identied impurities (e.g., immunogenicity) will have to be appropriately documented and justied.
2.2.4 Quantity
Quantity should be determined using an appropriate assay and expressed in the same units as those for the reference product. A comparable strength should be conrmed for the proposed biosimilar and the reference product. There is a dispute whether dose strength is an analytical assessment attribute or a release attribute; if it is the latter, then it need not be part of the analytical assessment, although the samples tested must be released based on the specication.
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Regulatory Requirements
2.2.5 sPecifications
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As for any biotechnology product, the selection of tests to be included in the specications (or con­trol strategy) for both drug and drug products is product- specic and should be dened as described in ICH Q6B. The rationale used to establish a proposed range of acceptance criteria for routine testing should also be described.
The product’s claimed shelf- life should be justied with full stability data obtained with the proposed biosimilar product. Comparative real- time, real- condition stability studies between the proposed biosimilar and the reference product are not required.
2.2.6 test PRoceduRes
Critical variations in the product and process of the biosimilar are compared with those of the reference product to enable appropriately, not necessarily, validated procedures, as some test methods cannot be fully validated. Analytical methods must be qualied, sensitive, and adequately selective to identify potential differences. Where appropriate, the procedures described in the ICH recommendations (ICH Q2A, Q2B, Q5C, and Q6B) for analytical assessment can also be utilized to evaluate quality attributes for batch release. Additionally, the use of appropriate orthogonal method­ologies is necessary for obtaining robust data.
2.2.7 function- based tests
CQAs should be identied using analytical and in vitro functional tests. Functional experiments should be pertinent to the potential MOA in all therapeutic indications, including those that deter­mine apoptosis, complement- dependent cytotoxicity, antibody- dependent cellular phagocytosis, and antibody- dependent cellular cytotoxicity. Unless there is compelling evidence to the contrary, a biological occurrence should be considered when determining whether it applies to the MOA. Functional tests (ADCC, ADCP, and CDC) are not necessary for a reference product that primarily targets a soluble antigen.
2.2.8 nuMbeR of batches
Generally, eight batches will be tested, one of which should be the clinical batch. Therefore, the nal third- party analytical assessment will include at least three Pharmaceutical Process Qualication (PPQ) lots. More details are found later in the discussion of analytical assessment statistics.
2.2.9 data evaluation
A visual comparison sufces for test results sent as printed output, such as spectra. Quantitative statistics should be applied to the data of nearly ten batches, and the 3Sigma range, which is derived for the reference product as (ref − 3ref, ref + 3ref), provides the most accurate inference. If the test sample’s MinMax range falls within the 3Sigma range, then the 3Sigma test is accepted. With a larger sample size, the 3Sigma technique offers a more workable compromise of error rates.
2.2.10 exPRession systeM
The expression system determines product- related CQAs such as primary structure, HOS, glycosylation (only in eukaryotic hosts), product- related variations, and process- related variations. The primary structure is further broken down into the secondary structure, tertiary structure, and conformational stability. Testing include higher order structure (HOS) in the oligosaccharide pattern, glycopeptide mapping, and monosaccharide/ sialic acid content; also tested are the size variations,
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Regulatory Requirements
charge variations, and related proteins created in post- translational modications (PTMs), as well as product- associated variations.. The expression system for the biosimilar should belong to the same class as that used for the reference product. The developers are also advised to select more steady expression systems; generally, high- yielding cell lines produce more variants. Therefore, cell lines should be qualied according to the ICH Q5D.
2.2.11 Post- tRanslational Modifications
As the primary sequence of a protein remains constant, it is expected to be precisely the same, except for justied PTMs such as truncation of terminal amino acids in the body. Size- based heterogeneities (aggregates, fragments, and visible/ subvisible particles), charge- based heterogeneities (acidic and basic variants), and other product modications (reduced, oxidized, glycated, misfolded proteins, etc.) are a few examples of heterogeneities produced during the development, management, and storage of biological products. When the environment changes during different stages of the pro­duction process, hydrophobic patches of the protein unfurl, causing accumulation or fragmentation, and sometimes, immunogenic responses may occur. The aggregates range from soluble aggregates to visible residues depending on the duration of exposure to various stresses such as shear, thermal, chemical, and freeze- thaw. Protein loss due to interactions in the stationary phase and salt- induced aggregation or dissociation is common during size- exclusion chromatography analysis. To quantita­tively evaluate the size distribution, sedimentation velocity- analytical ultracentrifugation, a matrix­free substitute for size- exclusion chromatography, is used.
Charge variations are proteoforms that occur at different stages of the manufacturing process in various colloidal matrices (such as culture medium, in- process buffers, or formulations) and that have varying charges. It is, therefore, preferable to use several types of cation exchange chromatography.
Oxidation, phosphorylation, sulfation, acetylation, methylation, and hydroxylation are some of the nonenzymatic PTMs occurring at various manufacturing stages. Liquid chromatography is pref­erable for identifying PTMs and detecting associated molecular variations and contaminants.
Cell substrates are process- related variations or residuals, including HCPs, HCDs, cell culture, and downstream processing residuals. Enzyme- linked immunosorbent assay and real- time or quan­titative polymerase chain reaction assay are the main HCP and HCD detection and quantitation techniques. These variants are not tested during the drug substance qualifying phase because they are part of the release specication.
2.2.12 Quality asPects
Publicly available reference standards (e.g., the European Pharmacopoeia) cannot be used as the ref­erence product to demonstrate biosimilarity. However, the use of these standards plays an important role in the qualication and standardization of a method.
An extensive comparability exercise will be required to demonstrate that a proposed biosimilar has a highly similar quality prole as that of the reference product. This should include compre­hensive analyses of a proposed biosimilar and its reference product using sensitive and orthogonal methods to determine similarities and potential differences in quality attributes. These analyses should include side- by- side comparative studies unless otherwise justied. Any differences in the quality attributes will have to be appropriately justied about their potential effect on safety and efcacy.
In case relevant quality differences are conrmed (for which the absence of a clinically rele­vant effect will be difcult to justify), it may be challenging to claim similarity to the reference product, and thus, a complete application for marketing authorization may be more appropriate. Alternatively, the applicant could consider adequate revision of the manufacturing process to min­imize or avoid these differences.
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Regulatory Requirements
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It is not expected that all quality attributes of a proposed biosimilar product should be iden­tical to those of the reference product. However, where qualitative and quantitative differences are detected, such differences should be justied and, where relevant, demonstrated to have no effect on the product’s clinical performance. This may include additional non- clinical and clinical data, as outlined in the guidelines on similar biopharmaceutical products containing biotechnology- derived proteins as active substances: nonclinical and clinical issues. Particular attention should be given to quality attributes that might affect immunogenicity or potency or have not been identied in the reference product.
The application should provide information that the desired product (including product- related substances) present in the nished product of a proposed biosimilar is similar to that of the refer­ence product. By contrast, process- related impurities may differ between the reference product and proposed biosimilar products, although these impurities should be minimized. It is preferable to rely on purication processes to remove impurities rather than to establish a nonclinical testing program for their qualication. Differences that may confer a safety advantage (e.g., lower levels of impur­ities) should be explained but are unlikely to preclude biosimilarity.
Quantitative ranges for a proposed biosimilar comparability exercise should be established, where possible. These ranges should be based primarily on the measured quality attribute ranges of the reference product and should not be wider than the range of variability of the representa­tive reference product batches unless otherwise justied. The relevance of the ranges should be discussed, considering the number of reference product lots tested, the quality attribute investigated, the batches’ age at the time of testing, and the test method used. A descriptive statistical approach to establish ranges for quality attributes could be used if appropriately justied.
Acceptable ranges used for a proposed biosimilar comparability exercise versus the reference product should be handled separately from release specications. It is acknowledged that the refer­ence product’s manufacturing process evolves through its lifecycle, which may lead to detectable differences in some of the quality attributes. Such events could occur during the development of a proposed biosimilar product. They may result in development according to a quality target product prole (QTPP), which is no longer fully representative of the reference product available on the market. The ranges determined before and after the observed shift in quality prole could normally support a proposed biosimilar comparability exercise at the quality level. Either range is represen­tative of the reference product. Quality attribute values of a biosimilar located outside or between the quality attribute range(s) determined for the reference product should be appropriately justied about their potential effect on safety and efcacy. There is no regulatory requirement for the re­demonstration of biosimilarity once the marketing authorization is granted.
2.2.13 Release sPecification
Characterization of the reference product can help establish release specications that were determined before the analytical assessment. The reference product will be characterized by iden­tifying its physicochemical characteristics, biological activity, immunochemical characteristics, purity, and contaminants using appropriate testing techniques. The lots used during the development phase may be used as the test lots. However, at least one tested lot used for the initial clinical trial in the PK/ PD study must included. If a test method is selected from a pharmacopoeia, then it must also be conrmed or veried. Based on inevitabilities, specic variances are allowed for injectable products, such as 3% for protein content, 3% for impurities, 1% for any single contaminant, or 15% for potency testing.
Additionally, comparison tests do not consider pharmacopoeial requirements for the qualication of the dosage form, such as sterility, ll volume, delivered volume, and physical qualities. Other his­torical characteristics such as sterility, invisible particles (debatable with biosimilars to consider as aggregates), protein content, potency, and physical characteristics unique to the biosimilar candidate
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Regulatory Requirements
are independently established. These standards may be used to specify the biosimilar candidate’s release specication.
When a new biological product is developed, the specication is established based on the quality attributes determined from multiple lots. There is rarely any question of why a particular specication is used to release a product, notwithstanding known limitations common to the dosage form. When a proposed biosimilar product is developed, the boundaries of the specications are already drawn to match despite the realization that the expression systems, upstream process, and downstream pro­cess are inevitably different. This decision is mainly chosen with the intent of minimizing the need for studies required to prove that deviations, if any, are not clinically meaningful from the reference product. Biosimilar companies must have a deep understanding of the product, the technology, and the testing methodologies as well as creative thinking to assure the regulatory agencies that there is no clinically meaningful difference between a proposed biosimilar and the reference product.
Multiple reference products should be used to establish specications required for the quali­cation of a drug and its products. The number of reference product lots depends on the variability of the quality attributes in the reference product. Generally, considerable variations in protein con­centration, bioassay, PTMs, impurities, and other physical properties of the reference product are unlikely to occur because the manufacturer of the reference product had validated the manufacturing process and the corresponding attributes over time. For a proposed biosimilar product, the developer does not have access to the in- process controls; therefore, earlier lots of the proposed biosimilar product may show a higher variation, making it essential to collect extensive data on the variability of quality attributes in the reference product lots. Release specications should include assay, bio­assay, physical attributes, subvisible particles, total impurities, individual impurities, aggregates, and PTMs.
2.2.14 foRMulation
A proposed biosimilar can have a different formulation from that of the reference product. A formu­lation with the same number of inactive substances or fewer is recommended, regardless of changes in the constituent composition, unless doing so is banned by the intellectual property guidelines. Addition of excipients that are used to prepare biological products using another formulation is not advisable. The formulation’s stability, compatibility (i.e., how it interacts with excipients, diluents, and packaging materials), should be conrmed, along with the active ingredients’ integrity, activity, and potency. If the primary packaging that is in contact with the product is different, then further safety tests are required to verify that there is no unexpected leaching of package components into the product. Developers are encouraged to select a primary packaging material that is compatible with the proposed biosimilar, as it is often difcult to defend and justify these ndings. The formu­lation may not contain any unique excipients previously used in a similar product, and all excipients must be free of animal products.
2.2.15 stability
The stability of the biosimilar candidate must be evaluated according to ICH Q5C. Stress stability testing is an analytical evaluation and determines whether the degradation products are compar­able to the reference product. Sterility, presence of endotoxins, microbiological restrictions, con­tainer volume, homogeneity in dosage units, and permissible particle matter are among the general monographs of pharmacopoeia. These are assessed through release specication tests so that the pharmacopoeial standards can be applied. Accelerated and stress stability experiments are also necessary to further enable a direct assessment of structural similarities and obtain degradation proles. ICH Q5C and Q1A(R) guidelines should be reviewed when deciding the specications for stability studies that provide relevant data for possible comparison.
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2.2.16 PRocess Qualification
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Before performing any analytical assessment for similarity, the upstream and downstream processes must be veried. However, on completion of clinical pharmacology studies, no batch size adjust­ment is permitted; the developer may adjust the batch size only during post- approval, in adherence to ICHQ5E. Bridging studies are needed to validate alterations in the production size.
2.3 ANIMAL TOXICOLOGY
For a proposed biosimilar, no animal toxicological testing has been necessary since January 2023; however, many agencies still require these data.
2.4 CLINICAL PHARMACOLOGY
PK/ PD studies are pivotal to establishing analytical similarity; immunogenicity similarity, in some instances; and bioavailability, where applicable. Generally, studies conducted in healthy subjects will be more meaningful for two reasons: rst, to recruit subjects with a narrow demographic vari­ation to reduce the inter- and intra- subject variability, and second, to reduce the impact of disease and related treatments on the disposition prole. However, in some instances where the likelihood of the production of antidrug antibodies is very high, more particularly for an endogenous product, it may be unethical to recruit healthy subjects owing to unnecessary drug exposure, requiring the use of a patient population. Regardless of the choice of the population, the goal should be to reduce the number of subjects in the study; in this regard, the developers can conduct a two- arm (two- dose), parallel, two- phase (dose 1 and dose 2) study with a follow- up duration suitable for immunogen­icity evaluation; there may be situations where PD determination may restrict the use of this model. The developers may also conduct a post hoc analysis, especially when a study fails to meet the predetermined acceptance criteria, to facilitate the discussion of whether the pre- determined criteria could have been made broader. A post hoc analysis does not aim to change the acceptance criteria retrospectively but rather to determine whether the failed study constitutes a signicant residual uncertainty. The post hoc analysis may not include additional characterization of the results that are closer to the midpoint of the acceptance range as erroneously suggested in some guidelines established by other agencies.
2.5 CLINICAL IMMUNOGENICITY
Immunogenicity testing can be preferably combined with PK/ PD proling; however, in some situ­ations, it is necessary to conduct an independent study wherein a specic population or protocol that may not allow combining immunogenicity testing with PK/ PD studies should be followed. The developers must rst conrm that there is no residual uncertainty regarding the factors responsible for an immunogenicity response before conducting clinical testing. A more important element of these studies is the evaluation of antidrug antibodies, which should be estimated from public domain data; for example, lgrastim induces an extremely low immunogenic response, and PEGylation of the molecules induces an even less immunogenic response; therefore, any studies on lgrastim must provide acceptance criteria that will have clinical meaningfulness. For simpler, low- molecular- weight products where the immunogenic response is not likely to affect the clinical efcacy of the biosimilar, immunogenicity studies will not be needed (e.g., insulin products). The developers may present challenges to conducting immunogenicity testing based on similar or other novel arguments.
The US FDA has recently issued guidelines to remove the requirement to test clinical immuno­genicity of insulin if it meets analytical similarity testing; the factors responsible for this waiver are a smaller molecule with less complexity. More waivers of this type can be expected in the future.
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PK and pharmacodynamic (PD) studies, which are an extension of analytical evaluation, reect how the body perceives the chemical and vice versa. For a product used as intravenous adminis­tration, PK studies are necessary to evaluate the degree and strength of receptor binding that may alter PK characteristics such as the drug distribution volume and clearance, even if a biosimilar is not administered parenterally, such as a biosimilar injected into the eye. PK/ PD studies aim to com­pare the proles of the reference product and the biosimilar candidate, not to characterize them; therefore, such studies can be performed on a homogeneous population to decrease inter- and intra­subject variability and reduce study sample size. A robust design should accommodate a crossover or parallel design. A crossover approach can easily reveal changes but might not be appropriate for reference products that are robust inducers of immune responses or long half- lives. Modeling and simulation should be performed to optimize the study design, including selecting the most sensitive dose(s), study population, and sample size PK differences, if relevant population PK or PK- PD models for the reference product are available in the literature. Both linear (nonspecic) clearance and nonlinear (target- mediated) clearance should be considered through dosage choice and assessment of partial areas under the curve (AUCs). The statistical approach should specify any modications for body weight or additional variables (such as sex/ gender) to be used in the statistical analysis of a parallel- group experiment. The equivalence margins must be pre- specied, and the appropriate range is often 80.00%– 125.00%. The key PK parameters, typically AUC C
, should be equivalent in the PK experiment. A nding of biosimilarity should be supported by
max
0- ∞
and
descriptive results from the PK study, which can be utilized to evaluate PD parameters. Comparative PK studies designed to demonstrate similar PK proles of a proposed biosimilar and the reference product are essential parts of a proposed biosimilar development program.
Although the comparison of target- mediated clearance is of signicance in the biosimilarity exer­cise, it may not be feasible in patients because of major variability in target expression, including variability over time. However, because in vitro studies are expected to show comparable inter­action between a proposed biosimilar and its target(s) (including FcRn for a monoclonal antibody), the absence of a pivotal PK study in the target population is acceptable if additional PK data are collected during efcacy, safety, and PD studies to allow evaluation of the clinical impact of variable PK and possible changes in PK over time. These correlations can be made by determining the PK prole in a subset of patients or in a population.
A single- dose cross- over study with full characterization of the PK prole, including the late elimination phase, is preferable. A parallel- group design may be necessary for studies on substances with a long half- life and a high risk of immunogenicity (avoiding second dosing of the same drug substance). The doses in the single- dose comparability PK study of the proposed biosimilar in healthy volunteers may be lower than the recommended therapeutic doses. PK studies are not always feasible in healthy volunteers. In this case, the PK needs to be studied in patients as part of a multiple- dose study if a single- dose study is not feasible. A sensitive model/ population, i.e., fewer factors that cause signicant inter- individual or time- dependent variation, should be explored.
If the reference product can be administered both intravenously and subcutaneously, then the evaluation of subcutaneous administration will usually be sufcient to cover both absorption and elimination. It is possible to waive the intravenous administration assessment if the proposed biosimilar comparability in both absorption and elimination has been demonstrated for the subcuta­neous route. The PK study of intravenous administration needs to be conducted when the molecule has an absorption constant much slower than the elimination constant (ip- op kinetics).
In a single- dose PK study, the primary parameters are AUC and AUC
and usually C
(0– inf)
for subcutaneous administration. Secondary parameters such as t
max
for intravenous administration
(0– inf)
max
volume of distribution, and half- life should also be estimated. In a multiple- dose study, the primary parameters should be truncated AUC after the rst administration until the second administration (AUC
) and AUC over a dosage interval at steady state. Secondary parameters are C
0– t
max
and C
trough
at a constant state.
,
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In any PK study, antidrug antibodies should be measured parallel to the PK parameters using appropriate sampling time points.
2.5.1 PhaRMacodynaMic studies
It is recommended that PD markers are added to the PK studies whenever feasible. The PD markers should be selected based on their relevance to the clinical outcome. In some instances, comparative PK/ PD studies may be sufcient to demonstrate the clinical comparability of a proposed biosimilar and the reference product, provided that the following conditions are met:
• The selected PD marker/ biomarker is an accepted surrogate marker. It can be related to the patient outcome to the extent that the demonstration of a similar effect on the PD marker will ensure a similar effect on the clinical outcome. Relevant examples include an absolute neutro­phil count to assess the effect of granulocyte colony- stimulating factor (G- CSF), early viral load reduction in chronic hepatitis C to assess the effect of alpha interferons, and euglycemic insulin clamp test to compare two types of insulin in terms of tissue sensitivity to insulin. Magnetic res­onance imaging of disease lesions can be used to compare two β- interferons in multiple sclerosis.
• Some PD markers may not be established surrogates for efcacy but are relevant for the pharmacological action of the active substance, and a clear dose- response or a concentration­response relationship has been demonstrated. In this case, a single or multiple dose exposure– response study at two or more dose levels may be sufcient to waive a clinical efcacy study. This study design ensures that a proposed biosimilar and the reference product can be compared within the steep part of the dose- response curve.
• In exceptional cases, the conrmatory clinical trial may be waived if physicochemical, struc­tural, and in vitro biological analyses and human PK studies, together with a combination of PD markers that reect the pharmacological action and concentration of the active substance, can provide robust evidence for the comparability of the proposed biosimilar.
When evidence to establish the comparability of the clinical proposed biosimilar is derived from PK studies supported by studies with nonsurrogate PD/ biomarkers, it is recommended to discuss such (“ngerprinting”) approach with regulatory authorities. The plan should include a proposal of the size of the equivalence margin(s) with its clinical justication and the measures for the demon­stration of a comparable safety prole.
2.5.1.1 Clinical Immunogenicity
Immunogenicity is an inherent property of proteins, and it is best tested in healthy subjects in clin­ical pharmacology proling. However, it is important to note that the immunogenicity of a specic protein can be assessed through preclinical and clinical studies during drug development. These studies evaluate the protein’s potential to elicit an immune response, including antibodies produc­tion against the protein.
Immunogenicity testing of a proposed biosimilar and the reference product should be conducted within a proposed biosimilar comparability exercise using the same assay format and sampling schedule, which must meet all current standards. Analytical assays should be performed with both the reference product and the proposed biosimilar molecule in parallel (in a blinded manner) to measure the immune response against the product that was received by each patient. The analyt­ical assays should preferably detect antibodies against both the proposed biosimilar and the refer­ence product. Yet, they should at least detect all antibodies developed against a proposed biosimilar molecule. Usually, the incidence and nature (e.g., cross- reactivity, target epitopes, and neutral­izing activity) of antibodies and antibody titers should be measured and presented. They should be assessed and interpreted about their potential effect on clinical efcacy and safety parameters.