Evidence map›Paper›PMID 38173338›Full record

ArticleBioconjugate chemistry2024

Exploring the Sensitivity of Antibody-Drug Conjugate Efficacy to the Selection of Payload, Antibody, and Cell line.

Mara Rao, Shruthi Murali, Danielle Amores, Feifan Yu, Andrew Tsourkas

Open access · greenAbstract read
In one paragraph

Article in Bioconjugate chemistry, 2024. 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
1.1field-weighted citation impact, top 21% 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, 4 citations in OpenAlex.

  1. Review
  2. Article
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  4. 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

5 authors at 2 institutions in 1 country.

Mara RaoDepartment of Chemical and Biomolecular Engineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.ORCID 0009-0008-3912-4349
Shruthi MuraliDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.
Danielle AmoresAlphaThera, Inc., Philadelphia, Pennsylvania 19146, United States.
Feifan YuAlphaThera, Inc., Philadelphia, Pennsylvania 19146, United States.
Andrew TsourkasDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.ORCID 0000-0001-7758-1753
University of Pennsylvania · USAlphaThera (United States) · US

Funding

Modular approach for the delivery of antibodies into the cytoplasm of cellsR01CA241661 · NCI · UNIVERSITY OF PENNSYLVANIA · PI TSOURKAS, ANDREW · 2019 to 2023
$1.8M
Generation of antibody-drug conjugates by proximity-based sortase-mediated ligationR44CA221374 · NCI · ALPHATHERA, INC. · PI YU, FEIFAN · 2021 to 2022
$1.7M
NCI NIH HHS R01 CA241661NCI NIH HHS R44 CA221374
6 · The paper itself

Abstract

Antibody-drug conjugates (ADCs) make up a growing class of targeted therapeutics with important applications in cancer treatment. ADCs are highly modular in nature and thus can be engineered to target any cancer type, but their efficacy is strongly influenced by the specific choice of payload, antibody, and target cell. Considering the number of possible antibody-payload combinations, ADC development would benefit from an efficient method to narrow the number of ADC compositions to those with the highest and most universal potency prior to assessing pharmacokinetics and pharmacodynamics in animal models. To facilitate the identification of optimal ADC compositions, we describe the use of photoreactive antibody-binding domain-drug conjugates (known commercially as oYo-Link) to enable the site-specific labeling of off-the-shelf antibodies. This approach allows for the rapid generation of ADCs with a drug-to-antibody ratio of ∼2 with no subsequent purification required. As a demonstration of this approach, ADCs were generated with different combinations of tubulin-inhibitor drugs (DM1, DM4, VcMMAE, and VcMMAF) and anti-EGFR antibodies (cetuximab, panitumumab, anti-EGFR clone 425, and anti-EGFR clone 528) and were delivered to three EGFR-expressing cell lines (A431, A549, and MDA-MB-231). Real-time cytolysis assays indicated that the most effective antibody varied based on the choice of cell line: cetuximab was most potent against A431 cells, while 425 and 528 led to the greatest cytotoxicity against A549 and MDA-MB-231 cells. These results did not correlate with differences in measured anti-EGFR binding affinity as cetuximab had the highest affinity across all three cell lines, while 425 and 528 had the lowest affinities for all three cell lines. Panitumumab, which had the second-highest anti-EGFR affinity, exhibited the least effective cytolysis across A431, A549, and MDA-MB-231 cells. By demonstrating that ADC potency toward a given target is dependent on both the antibody and drug chosen, these findings can guide the selection of ADCs for further

Indexed as

ImmunoconjugatesAnimalsCell Line, TumorCetuximabPanitumumabXenograft Model Antitumor AssaysCetuximabImmunoconjugatesPanitumumab

Identifiers

PMID38173338
PMCPMC10872414
OpenAlexW4390582371

What OpenQuestion holds

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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.