Evidence map›Paper›PMID 34911819›Full record

ArticleMolecular cancer therapeutics2022

Cellular-Resolution Imaging of Bystander Payload Tissue Penetration from Antibody-Drug Conjugates.

Eshita Khera, Shujun Dong, Haolong Huang, Laureen de Bever, Floris L van Delft, Greg M Thurber

Abstract readComment
In one paragraph

Article in Molecular cancer therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
–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

48 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Eshita KheraDepartment of Chemical Engineering, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-6971-1033
Shujun DongDepartment of Chemical Engineering, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-4069-7506
Haolong HuangDepartment of Chemical Engineering, University of Michigan, Ann Arbor, Michigan.
Laureen de BeverSynaffix BV, Oss, the Netherlands.
Floris L van DelftSynaffix BV, Oss, the Netherlands.ORCID 0000-0003-4455-7727
Greg M ThurberDepartment of Chemical Engineering, University of Michigan, Ann Arbor, Michigan. gthurber@umich.edu.

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 1988 to 2026
$178.2M
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
NCI NIH HHS P30 CA046592NIGMS NIH HHS R35 GM128819
6 · The paper itself

Abstract

After several notable clinical failures in early generations, antibody-drug conjugates (ADC) have made significant gains with seven new FDA approvals within the last 3 years. These successes have been driven by a shift towards mechanistically informed ADC design, where the payload, linker, drug-to-antibody ratio, and conjugation are increasingly tailored to a specific target and clinical indication. However, fundamental aspects needed for design, such as payload distribution, remain incompletely understood. Payloads are often classified as "bystander" or "nonbystander" depending on their ability to diffuse out of targeted cells into adjacent cells that may be antigen-negative or more distant from tumor vessels, helping to overcome heterogeneous distribution. Seven of the 11 FDA-approved ADCs employ these bystander payloads, but the depth of penetration and cytotoxic effects as a function of physicochemical properties and mechanism of action have not been fully characterized. Here, we utilized tumor spheroids and pharmacodynamic marker staining to quantify tissue penetration of the three major classes of agents: microtubule inhibitors, DNA-damaging agents, and topoisomerase inhibitors. PAMPA data and coculture assays were performed to compare with the 3D tissue culture data. The results demonstrate a spectrum in bystander potential and tissue penetration depending on the physicochemical properties and potency of the payload. Generally, directly targeted cells show a greater response even with bystander payloads, consistent with the benefit of deeper ADC tissue penetration. These results are compared with computational simulations to help scale the data from

Indexed as

Antineoplastic AgentsImmunoconjugatesAnimalsCell Line, TumorAntineoplastic AgentsImmunoconjugates

Identifiers

PMID34911819
PMCPMC8832507

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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.