Evidence map›Paper›PMID 24281691›Full record

ArticleThe AAPS journal2014

A novel approach to evaluate the pharmacokinetic biocomparability of a monoclonal antibody derived from two different cell lines using simultaneous crossover design.

Chao Han, Thomas S McIntosh, Brian J Geist, Trina Jiao, Thomas A Puchalski, Kenneth M Goldberg, Tong-Yuan Yang, Charles E Pendley, Honghui Zhou, Hugh M Davis

Open access · bronzeAbstract read
In one paragraph

Article in The AAPS journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 43% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

10 authors at 1 institution in 1 country.

Chao HanBiologics Clinical Pharmacology, Janssen Research & Development, LLC, Spring House, Pennsylvania, 19477, USA, chan@its.jnj.com.
Thomas S McIntosh
Brian J Geist
Trina Jiao
Thomas A Puchalski
Kenneth M Goldberg
Tong-Yuan Yang
Charles E Pendley
Honghui Zhou
Hugh M Davis
Janssen (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A parallel study design with a large number of subjects has been a typical path for pharmacokinetic (PK) biocomparability assessment of biotherapeutics with long half-lives and immunogenic propensity, for example, monoclonal antibodies (mAb). A recently published innovative bioanalytical method that can quantify mAb produced from two different cell lines in the same sample opened an avenue to exploring a simultaneous crossover study design for PK biocomparability assessment of biotherapeutics. Siltuximab, a chimeric IgG1 mAb-targeting interleukin-6, was studied as an example. The pharmacokinetic biocomparability of siltuximab derived from mouse myeloma (Sp2/0) cells and Chinese hamster ovary cells was previously assessed and demonstrated in a clinical PK biocomparability study that enrolled more than 140 healthy subjects using a parallel trial design. The biocomparability was successfully shown in six cynomolgus monkeys in a preclinical proof-of-concept study using the new crossover study design supported by the analytical method. The impact of antidrug antibodies on the assessment of biocomparability was minimal. This novel approach opened up a new arena for the evaluation of PK biocomparability of biotherapeutics with unique molecular signatures such as a mAb derived from different cell lines.

Indexed as

Therapeutic EquivalencyAnimalsAntibodies, MonoclonalCHO CellsCricetinaeCricetulusCross-Over StudiesDrug Evaluation, PreclinicalEvaluation Studies as TopicMacaca fascicularisMaleMiceAntibodies, Monoclonalsiltuximab

Identifiers

PMID24281691
PMCPMC3889524
OpenAlexW1989856521

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.