Evidence map›Paper›PMID 35631556›Full record

ArticlePharmaceutics2022

Nonclinical Pharmacokinetics and Pharmacodynamics Characterization of Anti-CD79b/CD3 T Cell-Dependent Bispecific Antibody Using a Surrogate Molecule: A Potential Therapeutic Agent for B Cell Malignancies.

Rajbharan Yadav, Siddharth Sukumaran, Tanja S Zabka, Jinze Li, Amy Oldendorp, Gary Morrow, Arthur Reyes, Melissa Cheu, Jessica Li, Jeffrey J Wallin and 9 more

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 10 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

19 authors.

Rajbharan YadavPreclinical and Translational Pharmacokinetics and Pharmacodynamics, Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA.ORCID 0000-0002-4608-8744
Siddharth SukumaranPreclinical and Translational Pharmacokinetics and Pharmacodynamics, Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA.
Tanja S ZabkaSafety Assessment, Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA.
Jinze LiSafety Assessment, Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA.
Amy OldendorpSafety Assessment, Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA.
Gary MorrowSafety Assessment, Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA.
Arthur ReyesPreclinical and Translational Pharmacokinetics and Pharmacodynamics, Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA.
Melissa CheuBioAnalytical Sciences, Genentech Inc., South San Francisco, CA 94080, USA.
Jessica LiOncology Biomarker Development (OBD), Genentech Inc., South San Francisco, CA 94080, USA.
Jeffrey J WallinOncology Biomarker Development (OBD), Genentech Inc., South San Francisco, CA 94080, USA.ORCID 0000-0002-5952-3813
Siao TsaiBiochemical and Cellular Pharmacology, Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA.
Laura SunTranslational Oncology Department, Genentech Inc., South San Francisco, CA 94080, USA.
Peiyin WangTranslational Oncology Department, Genentech Inc., South San Francisco, CA 94080, USA.
Diego EllermanAntibody Engineering, Genentech Inc., South San Francisco, CA 94080, USA.
Christoph SpiessAntibody Engineering, Genentech Inc., South San Francisco, CA 94080, USA.ORCID 0000-0002-0570-9700
Andy PolsonTranslational Oncology Department, Genentech Inc., South San Francisco, CA 94080, USA.
Eric G StefanichPreclinical and Translational Pharmacokinetics and Pharmacodynamics, Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA.
Amrita V KamathPreclinical and Translational Pharmacokinetics and Pharmacodynamics, Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA.
Meric A OvacikPreclinical and Translational Pharmacokinetics and Pharmacodynamics, Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The T cell-dependent bispecific (TDB) antibody, anti-CD79b/CD3, targets CD79b and CD3 cell-surface receptors expressed on B cells and T cells, respectively. Since the anti-CD79b arm of this TDB binds only to human CD79b, a surrogate TDB that binds to cynomolgus monkey CD79b (cyCD79b) was used for preclinical characterization. To evaluate the impact of CD3 binding affinity on the TDB pharmacokinetics (PK), we utilized non-tumor-targeting bispecific anti-gD/CD3 antibodies composed of a low/high CD3 affinity arm along with a monospecific anti-gD arm as controls in monkeys and mice. An integrated PKPD model was developed to characterize PK and pharmacodynamics (PD). This study revealed the impact of CD3 binding affinity on anti-cyCD79b/CD3 PK. The surrogate anti-cyCD79b/CD3 TDB was highly effective in killing CD79b-expressing B cells and exhibited nonlinear PK in monkeys, consistent with target-mediated clearance. A dose-dependent decrease in B cell counts in peripheral blood was observed, as expected. Modeling indicated that anti-cyCD79b/CD3 TDB's rapid and target-mediated clearance may be attributed to faster internalization of CD79b, in addition to enhanced CD3 binding. The model yielded unbiased and precise curve fits. These findings highlight the complex interaction between TDBs and their targets and may be applicable to the development of other biotherapeutics.

Indexed as

CD3 binding affinityCD79binternalizationpharmacodynamicspharmacokineticssurrogate moleculetarget-mediated drug disposition modelT cell-dependent bispecific antibody

Identifiers

PMID35631556
PMCPMC9147001
OpenAlexW4225281122

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.