Batch-to-batch N-glycosylation study of infliximab, trastuzumab and bevacizumab, and stability study of bevacizumab
Open accessAbstract
OBJECTIVES: Infliximab, trastuzumab and bevacizumab are among the most frequently prescribed therapeutic proteins, and like most other therapeutic proteins, are glycosylated. As differences in glycosylation may significantly change the safety and efficacy of therapeutic glycoproteins, it is extremely important to control N-glycosylation consistency. In the first part of this study, the batch-to-batch consistency of the N-glycosylation of infliximab, trastuzumab and bevacizumab was analysed. In the second part, the consistency of the N-glycosylation of bevacizumab stored in polycarbonate syringes (for off-label drug use) for 3 months was examined. METHODS: N-glycans were (i) enzymatically released using peptide-N-glycosidase F, (ii) reduced, and (iii) analysed using hydrophilic interaction liquid chromatography coupled with high-resolution mass spectrometry. Mass spectrometry data were interpreted using principal component analysis combined with two-way analysis of variance and Tukey post hoc tests. The biological activity of infliximab and trastuzumab was examined using enzyme-linked immunosorbent assays. RESULTS: The results of both studies make important contributions to the field of hospital pharmacy. All batches of the studied therapeutic glycoproteins (infliximab, trastuzumab and bevacizumab) varied considerably (especially in galactosylation), while the N-glycosylation of bevacizumab remained unchanged during 3-month storage. CONCLUSIONS: Threshold values for batch-to-batch N-glycosylation variations should be established and batch-to-batch glycosylation consistency should be regularly tested. In our study, samples with significantly different N-glycosylation profiles showed no significant variations in biological activity, suggesting that the differences are probably not therapeutically significant.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The non-templated biosynthesis of glycans produces heterogeneous glycomic profiles due to enzymatic competition for a common substrate, substrate availability and enzyme-substrate specificity.
“the non-templated biosynthesis of glycans is a major hurdle that produces heterogeneous glycomic profiles as a result of enzymatic competition for a common substrate, substrate availability and enzyme-substrate specificity [6,7].”
From Glycoengineering Chinese hamster ovary cells: a short history (2021) · cites this paper as [7]
The Introduction (page not supplied) describes consistent N-glycosylation profiles as difficult to obtain. The discussion (section labeled “Some,” page not supplied) attributes differing glycosylation patterns in the studied therapeutic proteins to the involvement of hundreds of enzymes. It does not state that glycan biosynthesis is non-templated or identify competition for a common substrate, substrate availability, or enzyme–substrate specificity as the causes. (LLM, conf=0.87)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Post-translational modifications in the context of therapeutic proteins
Walsh, G., & Jefferis, R. (2006) · Nature Biotechnology · doi:10.1038/nbt1252 · Cited by 1,007 · see citing works
Biopharmaceutical benchmarks 2010
Walsh, G. (2010) · Nature Biotechnology · doi:10.1038/nbt0910-917 · Cited by 755 · see citing works
Optimal and consistent protein glycosylation in mammalian cell culture
Hossler, P., Khattak, S. F., & Li, Z. J. (2009) · Glycobiology · doi:10.1093/glycob/cwp079 · Cited by 669 · see citing works
Introduction to current and future protein therapeutics: A protein engineering perspective
Carter, P. J. (2011) · Experimental Cell Research · doi:10.1016/j.yexcr.2011.02.013 · Cited by 467 · see citing works
Raju, T. S., Briggs, J. B., Borge, S., & Jones, A. J. S. (2000) · Glycobiology · doi:10.1093/glycob/10.5.477 · Cited by 451 · see citing works
Harvey, D. J., Merry, A. H., Royle, L., Campbell, M. P., Dwek, R. A., & Rudd, P. M. (2009) · PROTEOMICS · doi:10.1002/pmic.200900096 · Cited by 268 · see citing works
Challenges in therapeutic glycoprotein production
Sethuraman, N., & Stadheim, T. A. (2006) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2006.06.010 · Cited by 247 · see citing works
Damen, C. W. N., Chen, W., Chakraborty, A. B., van Oosterhout, M., Mazzeo, J. R., Gebler, J. C., Schellens, J. H. M., Rosing, H., & Beijnen, J. H. (2009) · Journal of the American Society for Mass Spectrometry · doi:10.1016/j.jasms.2009.07.017 · Cited by 136 · see citing works
Gorovits, B., & Krinos‐Fiorotti, C. (2012) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-012-1369-3 · Cited by 114 · see citing works
Bakri, S. J., Snyder, M. R., Pulido, J. S., McCannel, C. A., Weiss, W. T., & Singh, R. (2006) · Retina · doi:10.1097/01.iae.0000225354.92444.7a · Cited by 104 · see citing works
Armstrong, R. A., Slade, S. V., & Eperjesi, F. (2000) · Ophthalmic and Physiological Optics · doi:10.1016/s0275-5408(99)00064-2 · Cited by 100 · see citing works
Iida, S., Kuni‐Kamochi, R., Mori, K., Misaka, H., Inoue, M., Okazaki, A., Shitara, K., & Satoh, M. (2009) · BMC Cancer · doi:10.1186/1471-2407-9-58 · Cited by 97 · see citing works
Glycan characterization of biopharmaceuticals: Updates and perspectives
Planinc, A., Bones, J., Dejaegher, B., Antwerpen, P. V., & Delporte, C. (2016) · Analytica Chimica Acta · doi:10.1016/j.aca.2016.03.049 · Cited by 91 · see citing works
Self-citationRapid Clearance of Sialylated Glycoproteins by the Asialoglycoprotein Receptor
Park, E. I., Manzella, S. M., & Baenziger, J. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m210612200 · Cited by 79 · see citing works
A Review of CT-P13: An Infliximab Biosimilar
McKeage, K. (2014) · BioDrugs · doi:10.1007/s40259-014-0094-1 · Cited by 79 · see citing works
Biologics : Target - specific treatment of systemic and cutaneous autoimmune diseases
Raychaudhuri, S. P., & Raychaudhuri, S. (2009) · Indian Journal of Dermatology · doi:10.4103/0019-5154.53175 · Cited by 64 · see citing works
Paul, M., Vieillard, V., Roumi, E., Cauvin, A., Despiau, M.-C., Laurent, M., & Astier, A. (2012) · Annales Pharmaceutiques Françaises · doi:10.1016/j.pharma.2012.03.006 · Cited by 55 · see citing works
One- Versus Two-Tailed Hypothesis Tests in Contemporary Educational Research
Pillemer, D. B. (1991) · Educational Researcher · doi:10.3102/0013189x020009013 · Cited by 54 · see citing works
de Melo, I. S., Grassi, P., Ochoa, F., Bolı́var, J., Garcia-Cozar, F. J., & Durán-Ruiz, M. C. (2015) · Journal of Proteomics · doi:10.1016/j.jprot.2015.04.012 · Cited by 49 · see citing works
Off-Label Use of Bevacizumab for the Treatment of Age-Related Macular Degeneration
Ziemssen, F., Grisanti, S., Bartz‐Schmidt, K. U., & Spitzer, M. S. (2009) · Drugs & Aging · doi:10.2165/00002512-200926040-00002 · Cited by 31 · see citing works
Planinc, A., Dejaegher, B., Heyden, Y. V., Viaene, J., Praet, S. V., Rappez, F., Antwerpen, P. V., & Delporte, C. (2016) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-016-9683-9 · Cited by 18 · see citing works
Self-citationDelobel, A., Cantais, F., Catrain, A., Dereux, E., & Vyncht, G. V. (2013) · Methods in molecular biology · doi:10.1007/978-1-62703-327-5_8 · Cited by 9 · see citing works
Interpretation of research data: Analysis of variance
Kohout, F. J., & Norwood, G. J. (1981) · American Journal of Health-System Pharmacy · doi:10.1093/ajhp/38.1.96 · Cited by 6 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
The process defines the product: what really matters in biosimilar design and production?
Vulto, A. G., & Jaquez, O. A. (2017) · Lara D. Veeken · doi:10.1093/rheumatology/kex278 · Cited by 178 · see citing works
Joshi, S., & Rathore, A. S. (2020) · BioDrugs · doi:10.1007/s40259-020-00404-3 · Cited by 56 · see citing works
Pathogenic effector functions of ACPA: Where do we stand?
Toes, R. E. M., & Pisetsky, D. S. (2019) · Annals of the Rheumatic Diseases · doi:10.1136/annrheumdis-2019-215337 · Cited by 49 · see citing works
Glycosylation of Therapeutic Proteins: A Critical Quality Attribute
Delobel, A. (2021) · Methods in molecular biology · doi:10.1007/978-1-0716-1241-5_1 · Cited by 42 · see citing works
Antonakoudis, A., Strain, B., Barbosa, R., Jimenez del Val, I., & Kontoravdi, C. (2021) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2021.107471 · Cited by 42 · see citing works
Constrained global sensitivity analysis for bioprocess design space identification
Kotidis, P., Demis, P., Goey, C. H., Correa, E., McIntosh, C., Trepekli, S., Shah, N., Klymenko, O. V., & Kontoravdi, C. (2019) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2019.01.022 · Cited by 40 · see citing works
Glycoengineering Chinese hamster ovary cells: a short history
Donini, R., Haslam, S. M., & Kontoravdi, C. (2021) · Biochemical Society Transactions · doi:10.1042/bst20200840 · Cited by 37 · see citing works
Mass spectrometry-based qualitative and quantitative N-glycomics: An update of 2017–2018
Xiao, K., Han, Y., Yang, H., Lu, H., & Tian, Z. (2019) · Analytica Chimica Acta · doi:10.1016/j.aca.2019.10.007 · Cited by 29 · see citing works
Alocci, D., Ghraichy, M., Barletta, E., Gastaldello, A., Mariethoz, J. A., & Lisacek, F. (2018) · Glycobiology · doi:10.1093/glycob/cwy019 · Cited by 24 · see citing works
Alsamil, A. M., Giezen, T., Egberts, T., Leufkens, H., Vulto, A., van der Plas, M. R., & Gardarsdottir, H. (2020) · European Journal of Pharmaceutical Sciences · doi:10.1016/j.ejps.2020.105501 · Cited by 20 · see citing works
Hallin, E. I., Serkland, T. T., Bjånes, T. K., & Skrede, S. (2024) · Analytica Chimica Acta · doi:10.1016/j.aca.2024.342789 · Cited by 20 · see citing works
Computational tools for predicting and controlling the glycosylation of biopharmaceuticals
Kontoravdi, C., & Jimenez del Val, I. (2018) · Current Opinion in Chemical Engineering · doi:10.1016/j.coche.2018.08.007 · Cited by 18 · see citing works
Skeene, K., Khatri, K., Soloviev, Z., & Lapthorn, C. (2021) · Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics · doi:10.1016/j.bbapap.2021.140697 · Cited by 17 · see citing works
Cui, X., Pei, X., Wang, H., Feng, P., Qin, H., Liu, S., Yan, Q., & Liu, J. (2022) · Cells · doi:10.3390/cells11193141 · Cited by 16 · see citing works
Iqbal, Z., & Sadaf, S. (2022) · Journal of Pharmacy & Pharmaceutical Sciences · doi:10.18433/jpps32433 · Cited by 14 · see citing works
Influence of pneumatic transportation on the stability of monoclonal antibodies
Coliat, P., Erb, S., Diemer, H., Karouby, D., Martin, T., Banerjee, M., Zhu, C., Demarchi, M., Cianférani, S., Detappe, A., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-49235-6 · Cited by 12 · see citing works
Alsamil, A. M., Giezen, T., Egberts, T., Leufkens, H., & Gardarsdottir, H. (2021) · Pharmaceuticals · doi:10.3390/ph14030189 · Cited by 10 · see citing works
Minor N-Glycan Mapping of Monoclonal Antibody Therapeutics Using Middle-Down NMR Spectroscopy
Zhuo, Y., Keire, D. A., & Chen, K. (2020) · Molecular Pharmaceutics · doi:10.1021/acs.molpharmaceut.0c01083 · Cited by 12 · see citing works
Delivering on the Promise of Biosimilars
Vulto, A. G. (2019) · BioDrugs · doi:10.1007/s40259-019-00388-9 · Cited by 10 · see citing works
The First WHO International Standard for Harmonizing the Biological Activity of Bevacizumab
Jia, H., Harikumar, P. E., Atkinson, E., Rigsby, P., & Wadhwa, M. (2021) · Biomolecules · doi:10.3390/biom11111610 · Cited by 10 · see citing works
Comprehensive N-Glycan Mapping using Parallel Reaction Monitoring LC–MS/MS
Shipman, J. J., Sommers, C. D., Keire, D. A., Chen, K., & Zhu, H. (2022) · Pharmaceutical Research · doi:10.1007/s11095-022-03453-1 · Cited by 10 · see citing works
In vivo deglycosylation of recombinant glycoproteins in tobacco BY ‐2 cells
Herman, X., Far, J., Peeters, M., Quinton, L., Chaumont, F., & Navarre, C. (2023) · Plant Biotechnology Journal · doi:10.1111/pbi.14074 · Cited by 10 · see citing works
Consistency of Product Quality for SB5, an Adalimumab Biosimilar
Lee, J., Lee, N., Seo, Y. J., & Kim, I.-K. (2023) · BioDrugs · doi:10.1007/s40259-023-00581-x · Cited by 8 · see citing works
Reese, R., Nanavath, S. R., Martin, J. L., Travers, J. B., & Rohan, C. A. (2024) · Journal of Dermatological Treatment · doi:10.1080/09546634.2024.2402912 · Cited by 7 · see citing works
Yang, J., Ostafe, R., & Bruening, M. L. (2024) · Analytical Chemistry · doi:10.1021/acs.analchem.4c00030 · Cited by 7 · see citing works
Need for a risk-based control strategy for managing glycosylation profile for biosimilar products
Rathore, A. S., & Malani, H. (2021) · Expert Opinion on Biological Therapy · doi:10.1080/14712598.2021.1973425 · Cited by 7 · see citing works
Media on‐demand: Continuous reconstitution of a chemically defined media directly from solids
Komuczki, D., Dutra, G., Gstöttner, C., Domínguez‐Vega, E., Jungbauer, A., & Satzer, P. (2021) · Biotechnology and Bioengineering · doi:10.1002/bit.27738 · Cited by 6 · see citing works
Agarwala, S. S., Nagl, U. O., Guo, X., Bellon, A., Heyn, J., Dimova-Dobreva, M., Shen, Y., Schaffar, G., Humphrey, M., Mathieson, N., et al. (2022) · Current Medical Research and Opinion · doi:10.1080/03007995.2022.2061707 · Cited by 3 · see citing works
Alsamil, A. M., Giezen, T. J., Egberts, T. C. G., Doevendans, E., Leufkens, H. G. M., & Gardarsdóttir, H. (2022) · European Journal of Pharmaceutical Sciences · doi:10.1016/j.ejps.2022.106227 · Cited by 3 · see citing works
Molnárová, K., Krizek, T., & Kozlík, P. (2024) · Journal of Chromatography B · doi:10.1016/j.jchromb.2024.124099 · Cited by 3 · see citing works
Yao, X., Qi, G., Qu, Y., Yun, S., Sun, W., Liang, C., Du, M., & Li, Z. (2022) · Natural Product Communications · doi:10.1177/1934578x221086989 · Cited by 2 · see citing works
Aubrey, N., Gouilleux‐Gruart, V., Dhommée, C., Mariot, J., Boursin, F., Albrecht, N., Bergua, C., Croix, C., Gilotin, M., Haudebourg, E., et al. (2022) · Antibodies · doi:10.3390/antib11030054 · Cited by 2 · see citing works
Quality of biopharmaceuticals: Comparability exercise and post-approval surveillance
Alsamil, A. M. (2022) · doi:10.33540/1484 · Cited by 2 · see citing works
Clinical validation of pneumatic transportation systems for monoclonal antibodiesPreprint
Coliat, P., Erb, S., Diemer, H., Karouby, D., Banerjee, M., Zhu, C., Demarchi, M., Cianférani, S., Detappe, A., & Pivot, X. B. (2023) · medRxiv · doi:10.1101/2023.03.25.23287739 · Cited by 1 · see citing works
Monoclonal Antibody Glycoengineering for Biopharmaceutical Quality Assurance
Gómez, I. A., & del Val, I. J. (2021) · Cell engineering · doi:10.1007/978-3-030-79871-0_6
Zhao, S., Ye, Y., Du, F., & Zhang, X. (2026) · Journal of Analytical Science & Technology · doi:10.1186/s40543-025-00514-z
Computationally inspired glycoengineering to maximise mAb β4-galactosylation
Gómez, I. A., Ghahremanzamaneh, M., Tsopanoglou, A., Blanco, A., Carillo, S., Bones, J., & del Val, I. J. (2026) · Metabolic Engineering · doi:10.1016/j.ymben.2026.102549
Ruiz, C. A., Lim, S. L. Y., Brink, J., Carillo, S., Casey, E., Bones, J., & del Val, I. J. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.13.724788
Ruiz, C. A., Lim, S. L. Y., Brink, J., Carillo, S., Casey, E., Bones, J., & del Val, I. J. (2026) · Biotechnology and Bioengineering · doi:10.1002/bit.70359
Xie, Y., & Butler, M. (2026) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-026-13994-9
Statistical Tools for Biosimilarity Assessment: A Perspective Based on WHO-recommended Approaches
Rathore, A. S., & Shrivastava, A. (2026) · The AAPS Journal · doi:10.1208/s12248-026-01304-0
- Authors
- Planinc, A., Dejaegher, B., Vander Heyden, Y., Viaene, J., Van Praet, S., Rappez, F., Van Antwerpen, P., & Delporte, C.
- Affiliations
- Université Libre de Bruxelles (BE)
- Centre Hospitalier Universitaire de Saint-Pierre (BE)
- Corresponding author
- Planinc, Ana
- ORCID
- Delporte, Cédric
- Venue
- European Journal of Hospital Pharmacy
- Publisher
- BMJ
- Published
- 2016-09-15
- Volume
- 24
- Issue
- 5
- Pages
- 286-292
- ISSN
- 2047-9956 (ISSN-L)
- 2047-9964
- PMC
- PMC6451607
- OpenAlex
- W2520070907
- Cited by
- 41
- References
- 23
- Citations by year
- 2026: 6 · 2024: 4 · 2023: 4 · 2022: 8 · 2021: 9 · 2020: 3 · 2019: 4 · 2018: 2 · 2017: 1
- FWCI
- 1.42
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- European Journal of Hospital Pharmacy (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (submittedVersion)
- HighWire Press Open Archive (submittedVersion)
- VUBIR (Vrije Universiteit Brussel) (submittedVersion)
- Funders
- Fonds De La Recherche Scientifique - FNRS (34553.08)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Biosimilars and Bioanalytical Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Glycosylation and Glycoproteins Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein purification and stability
- Keywords
- N-glycosylation, infliximab, trastuzumab, bevacizumab, batch-to-batch variation, N-glycan profiling, galactosylation, drug stability, off-label drug use, therapeutic glycoproteins, biological activity, hospital pharmacy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review