Evidence map›Paper›PMID 35538109›Full record

ArticleScientific reports2022

Design of high avidity and low affinity antibodies for in situ control of antibody drug conjugate targeting.

Reginald Evans, Greg M Thurber

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

9 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

2 authors at 1 institution in 1 country.

Reginald EvansDepartment of Chemical Engineering, University of Michigan, 2800 Plymouth Rd., Ann Arbor, MI, 48109, USA.
Greg M ThurberDepartment of Chemical Engineering, University of Michigan, 2800 Plymouth Rd., Ann Arbor, MI, 48109, USA. gthurber@umich.edu.
University of Michigan–Ann Arbor · US

Funding

Maximizing Antibody Drug Conjugate Efficacy through Multiple Mechanisms of ActionR35GM128819 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Greg Thurber · 2018 to 2026
$2.8M
NIGMS NIH HHS R35 GM128819NIH HHS R35 GM128819
6 · The paper itself

Abstract

Antibody-Drug Conjugates (ADCs) have rapidly expanded in the clinic, with 7 new approvals in 3 years. For solid tumors, high doses of ADCs improve tissue penetration and efficacy. These doses are enabled by lower drug-to-antibody ratios and/or co-administration of unconjugated antibody carrier doses to avoid payload toxicity. While effective for highly expressed targets, these strategies may not maintain efficacy with lower target expression. To address this issue, a carrier dose that adjusts binding in situ according to cellular expression was designed using computational modeling. Previous studies demonstrated that coadministration of unconjugated antibody with the corresponding ADC at an 8:1 ratio improves ADCs efficacy in high HER2 expressing tumors. By designing a High Avidity, Low Affinity (HALA) carrier antibody, ADC binding is partially blocked in high expression cells, improving tissue penetration. In contrast, the HALA antibody cannot compete with the ADC in low expressing cells, allowing ADC binding to the majority of receptors. Thus, the amount of competition from the carrier dose automatically adjusts to expression levels, allowing tailored competition between different patients/metastases. The computational model highlights two dimensionless numbers, the Thiele modulus and a newly defined competition number, to design an optimal HALA antibody carrier dose for any target.

Indexed as

Antineoplastic AgentsImmunoconjugatesNeoplasmsAntibodiesCell Line, TumorHumansAntibodiesAntineoplastic AgentsImmunoconjugates

Identifiers

PMID35538109
PMCPMC9090802
OpenAlexW4280592143

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.