Evidence map›Paper›PMID 34654882›Full record

ArticleScientific reports2021

Long-term stability predictions of therapeutic monoclonal antibodies in solution using Arrhenius-based kinetics.

Drago Kuzman, Marko Bunc, Miha Ravnik, Fritz Reiter, Lan Žagar, Matjaž Bončina

Abstract readValidation Study
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Drago KuzmanBiologics Drug Product, Technical Research and Development, Global Drug Development, Novartis, Lek D.D., Kolodvorska 27, 1234, Mengeš, Slovenia.
Marko BuncBiologics Drug Product, Technical Research and Development, Global Drug Development, Novartis, Lek D.D., Kolodvorska 27, 1234, Mengeš, Slovenia.
Miha RavnikFaculty of Mathematics and Physics, University of Ljubljana, Ljubljana, Slovenia.
Fritz ReiterRegulatory Affairs CMC, Global Drug Development, Novartis, Sandoz GmbH, Kundl, Austria.
Lan ŽagarRevelo d.o.o., Ljubljana, Slovenia.
Matjaž BončinaBiologics Drug Product, Technical Research and Development, Global Drug Development, Novartis, Lek D.D., Kolodvorska 27, 1234, Mengeš, Slovenia. matjaz.boncina@novartis.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-term stability of monoclonal antibodies to be used as biologics is a key aspect in their development. Therefore, its possible early prediction from accelerated stability studies is of major interest, despite currently being regarded as not sufficiently robust. In this work, using a combination of accelerated stability studies (up to 6 months) and first order degradation kinetic model, we are able to predict the long-term stability (up to 3 years) of multiple monoclonal antibody formulations. More specifically, we can robustly predict the long-term stability behaviour of a protein at the intended storage condition (5 °C), based on up to six months of data obtained for multiple quality attributes from different temperatures, usually from intended (5 °C), accelerated (25 °C) and stress conditions (40 °C). We have performed stability studies and evaluated the stability data of several mAbs including IgG1, IgG2, and fusion proteins, and validated our model by overlaying the 95% prediction interval and experimental stability data from up to 36 months. We demonstrated improved robustness, speed and accuracy of kinetic long-term stability prediction as compared to classical linear extrapolation used today, which justifies long-term stability prediction and shelf-life extrapolation for some biologics such as monoclonal antibodies. This work aims to contribute towards further development and refinement of the regulatory landscape that could steer toward allowing extrapolation for biologics during the developmental phase, clinical phase, and also in marketing authorisation applications, as already established today for small molecules.

Indexed as

Models, ChemicalAntibodies, MonoclonalKineticsProtein StabilityAntibodies, Monoclonal

Identifiers

PMID34654882
PMCPMC8519954

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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.