Evidence map›Paper›PMID 35166967›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2022

Integrated multiple analytes and semi-mechanistic population pharmacokinetic model of tusamitamab ravtansine, a DM4 anti-CEACAM5 antibody-drug conjugate.

Clemence Pouzin, Leonid Gibiansky, Nathalie Fagniez, Mustapha Chadjaa, Michel Tod, Laurent Nguyen

Open access · hybridAbstract read
In one paragraph

Article in Journal of pharmacokinetics and pharmacodynamics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Clemence PouzinSanofi R&D, Pharmacokinetics Dynamics and Metabolism Department, 1 Avenue Pierre Brossolette, Chilly-Mazarin, 91380, Paris, France. Clemence.Pouzin@sanofi.fr.ORCID 0000-0003-3081-8201
Leonid GibianskyQuantPharm LLC, North Potomac, Maryland, USA.
Nathalie FagniezSanofi R&D, Pharmacokinetics Dynamics and Metabolism Department, 1 Avenue Pierre Brossolette, Chilly-Mazarin, 91380, Paris, France.
Mustapha ChadjaaSanofi, Clinical Research, Vitry-sur-seine, Paris, France.
Michel TodOncology department EMR3738, PKPD modelling unit, University of Claude Bernard Lyon 1, Lyon, France.
Laurent NguyenSanofi R&D, Pharmacokinetics Dynamics and Metabolism Department, 1 Avenue Pierre Brossolette, Chilly-Mazarin, 91380, Paris, France.
Sanofi (France) · FRUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tusamitamab ravtansine (SAR408701) is an antibody-drug conjugate (ADC), combining a humanized monoclonal antibody (IgG1) targeting carcinoembryonic antigen-related cell adhesion molecule 5 (CEACAM5) and a potent cytotoxic maytansinoid derivative, DM4, inhibiting microtubule assembly. SAR408701 is currently in clinical development for the treatment of advanced solid tumors expressing CEACAM5. It is administered intravenously as a conjugated antibody with an average Drug Antibody Ratio (DAR) of 3.8. During SAR408701 clinical development, four entities were measured in plasma: conjugated antibody (SAR408701), naked antibody (NAB), DM4 and its methylated metabolite (MeDM4), both being active. Average DAR and proportions of individual DAR species were also assessed in a subset of patients. An integrated and semi-mechanistic population pharmacokinetic model describing the time-course of all entities in plasma and DAR measurements has been developed. All DAR moieties were assumed to share the same drug disposition parameters, excepted for clearance which differed for DAR0 (i.e. NAB entity). The conversion of higher DAR to lower DAR resulted in a DAR-dependent ADC deconjugation and was represented as an irreversible first-order process. Each conjugated antibody was assumed to contribute to DM4 formation. All data were fitted simultaneously and the model developed was successful in describing the pharmacokinetic profile of each entity. Such a structural model could be translated to other ADCs and gives insight of mechanistic processes governing ADC disposition. This framework will further be expanded to evaluate covariates impact on SAR408701 pharmacokinetics and its derivatives, and thus can help identifying sources of pharmacokinetic variability and potential efficacy and safety pharmacokinetic drivers.

Indexed as

Antineoplastic AgentsImmunoconjugatesMaytansineAntibodies, Monoclonal, HumanizedCell Adhesion MoleculesHumansAntibodies, Monoclonal, HumanizedAntineoplastic AgentsCell Adhesion MoleculesImmunoconjugatesMaytansineAntibody-drug conjugateCEACAM5DM4Drug-to-antibody-ratioPharmacokinetics modelSemi-mechanistic

Identifiers

PMID35166967
PMCPMC9098589
OpenAlexW4212779225

What OpenQuestion holds

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LicenceCC BY
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.