Evidence map›Paper›PMID 34931298›Full record

ReviewThe AAPS journal2021

Assessment of Functional Characterization and Comparability of Biotherapeutics: a Review.

Rozaleen Dash, Sumit Kumar Singh, Narendra Chirmule, Anurag S Rathore

Abstract readReview
PubMed Publisher
In one paragraph

Review in The AAPS journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
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

4 authors.

Rozaleen DashDepartment of Chemical Engineering, DBT Center of Excellence for Biopharmaceutical Technology, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India.
Sumit Kumar SinghDepartment of Chemical Engineering, DBT Center of Excellence for Biopharmaceutical Technology, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India.
Narendra ChirmuleSymphonyTech Biologics, Pune, India.
Anurag S RathoreDepartment of Chemical Engineering, DBT Center of Excellence for Biopharmaceutical Technology, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India. asrathore@biotechcmz.com.ORCID http://orcid.org/0000-0002-5913-4244

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of monoclonal antibody (mAb) biosimilars is a complex process. The key to their successful development and commercialization is an in-depth understanding of the key product attributes that impact safety and efficacy and the strategies to control them. Functional assessment of mAb is a crucial part of the comparability of biopharmaceutical drugs. The development of a relevant and robust functional assay requires an interdisciplinary approach and sufficient flexibility to balance regulatory concerns as well as dynamics and variability during the manufacturing process. Although many advanced tools are available to study and compare the potency and bioactivity of the protein, most of these techniques suffer from major shortcomings that limit their routine use. These include the complexity of the task, establishment of the relevance of the chosen method with the mechanism of action (MOA) of the biosimilar, cost and extended time of analysis, and often the ambiguity in interpretation of the resulting data. To overcome or to address these challenges, the use of multiple orthogonal state-of-the-art techniques is a necessary prerequisite.

Indexed as

Biosimilar PharmaceuticalsBiosimilar Pharmaceuticalscell-based assaycritical quality attributes (CQAs)functional comparabilityligand binding assaymechanism of action (MOA)

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.