ArticlemAbs
Evaluation of analytical similarity between trastuzumab biosimilar CT-P6 and reference product using statistical analyses.
Article in mAbs. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 44 citations in OpenAlex.
- Statistical Tools for Biosimilarity Assessment: A Perspective Based on WHO-recommended Approaches.The AAPS journal · 2026Article
- Biosimilars: A Virtuous Cycle of Sustainability and Innovation.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2026Review
- Native Top-Down Mass Spectrometry Combined with High-Resolution Charge Variant Analysis of Trastuzumab Originator and Biosimilars.Journal of the American Society for Mass Spectrometry · 2026Article
- Evaluation of "Difficult-to-Express" Monoclonal Antibodies in a CHO-Based Hybrid Site-Specific Integration System Under Industrially Relevant Conditions.Biotechnology journal · 2025Article
- Characterization of Biosimilar Monoclonal Antibodies and Their Reference Products Approved in Japan to Reveal the Quality Characteristics in Post-approval Phase.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2025Article
- Comparative Preclinical Evaluation of Tuznue Versus Referent Herceptin: A Registered Trastuzumab Biosimilar.Drugs in R&D · 2025Article
- Evaluating the impact of media and feed combinations on CHO cell culture performance and monoclonal antibody (trastuzumab) production.Cytotechnology · 2025Article
- Mitigating In-Column Artificial Modifications in High-Temperature LC-MS for Bottom-Up Proteomics and Quality Control of Protein Biopharmaceuticals.Analytical chemistry · 2024Article
- Basic regulatory science behind drug substance and drug product specifications of monoclonal antibodies and other protein therapeutics.Journal of pharmaceutical analysis · 2024Review
- Demonstrating analytical similarity of a biosimilar HLX04 to bevacizumab with a panel of state-of-the-art methods and tiering of quality attributes.Analytical and bioanalytical chemistry · 2023Article
- Comparison of originator and biosimilar monoclonal antibodies using HRMS, Fc affinity chromatography, and 2D-HPLC.Analytical and bioanalytical chemistry · 2022Article
- Exploring the limits of conventional small-scale CHO fed-batch for accelerated on demand monoclonal antibody production.Bioprocess and biosystems engineering · 2022Article
- Analytical Similarity Assessment of Biosimilars: Global Regulatory Landscape, Recent Studies and Major Advancements in Orthogonal Platforms.Frontiers in bioengineering and biotechnology · 2022Review
- Comparison of Strategies in Development and Manufacturing of Low Viscosity, Ultra-High Concentration Formulation for IgG1 Antibody.Journal of pharmaceutical sciences · 2020Article
- Prevalence and role of HER2 mutations in cancer.Pharmacology & therapeutics · 2019Review
- Report of the AAPS Guidance Forum on the FDA Draft Guidance for Industry: "Drug Products, Including Biological Products, that Contain Nanomaterials".The AAPS journal · 2019Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The evaluation of analytical similarity has been a challenging issue for the biosimilar industry because the number of lots for reference and biosimilar products available at the time of development are limited, whilst measurable quality attributes of target molecule are numerous, which can lead to potential bias or false negative/positive conclusions regarding biosimilarity. Therefore, appropriate statistical analyses are highly desirable to achieve a high level of confidence in the similarity evaluation. A recent guideline for the risk-based statistical approaches recommended by the US Food and Drug Administration provides useful tools to systematically evaluate analytical similarity of biosimilar products compared with reference products. Here, we evaluated analytical similarity of CT-P6, a biosimilar product of trastuzumab, with the reference products (EU-Herceptin® or US-Herceptin®) following these statistical approaches. Various quality attributes of trastuzumab were first ranked based on the clinical impact of each attribute and subsequently adjusted to one of three tiers (Tier 1, Tier 2 and Tier 3) considering the characteristics of the assay, the level of attribute present and the feasibility of statistical analysis. Two biological activities with highest potential clinical impact were evaluated by an equivalent test (Tier 1), and other bioactivities and structural/physicochemical properties relevant to the clinical impact were evaluated by a quality range approach (Tier 2). The attributes with low risk ranking or qualitative assay were evaluated by visual comparison (Tier 3). Analytical similarity assessment analyzed by the three tiers clearly demonstrated that CT-P6 exhibits highly similar structural and physicochemical properties, as well as functional activities, compared with the reference products. There were small differences observed in a few quality attributes between CT-P6 and the reference products, but the differences were very minor, and unlikely to impact on clinical outcome. The recently reported equivalent clinical efficacy of CT-P6 with the reference product further supports that CT-P6 is highly similar compared with the reference product in the view of totality-of-evidence.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.