Evidence map›Paper›PMID 30023717›Full record

ArticleACS omega2017

High-Throughput, Multispecies, Parallelized Plasma Stability Assay for the Determination and Characterization of Antibody-Drug Conjugate Aggregation and Drug Release.

Kenneth R Durbin, M Shannon Nottoli, Nathaniel D Catron, Nicole Richwine, Gary J Jenkins

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. A novelmAbs · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
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 1 institution in 1 country.

Kenneth R DurbinDrug Metabolism and Pharmacokinetics and Drug Product Development, AbbVie, Inc., 1 N. Waukegan Drive, North Chicago, Illinois 60064, United States.
M Shannon NottoliDrug Metabolism and Pharmacokinetics and Drug Product Development, AbbVie, Inc., 1 N. Waukegan Drive, North Chicago, Illinois 60064, United States.
Nathaniel D CatronDrug Metabolism and Pharmacokinetics and Drug Product Development, AbbVie, Inc., 1 N. Waukegan Drive, North Chicago, Illinois 60064, United States.
Nicole RichwineDrug Metabolism and Pharmacokinetics and Drug Product Development, AbbVie, Inc., 1 N. Waukegan Drive, North Chicago, Illinois 60064, United States.
Gary J JenkinsDrug Metabolism and Pharmacokinetics and Drug Product Development, AbbVie, Inc., 1 N. Waukegan Drive, North Chicago, Illinois 60064, United States.
AbbVie (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The stability of antibody-drug conjugates (ADCs) in circulation is critical for maximum efficacy and minimal toxicity. An ADC reaching the intended target intact can deliver the highest possible drug load to the tumor and reduce off-target toxicity from free drug in the blood. As such, assessment of ADC stability is a vital piece of data during development. However, traditional ADC stability assays can be manually intensive, low-throughput, and require large quantities of ADC material. Here, we introduce an automated, high-throughput plasma stability assay for screening drug release and aggregation over 144 h for up to 40 ADCs across five matrices simultaneously. The amount of ADC material during early drug development is often limited, so this assay was implemented in 384-well format to minimize material requirements to <100 μg of each ADC and 100 μL of plasma per species type. Drug release and aggregation output were modeled using nonlinear regression equations to calculate formation rates for each data type. A set of 15 ADCs with different antibodies and identical valine-citrulline-

Identifiers

PMID30023717
PMCPMC6044903
OpenAlexW2744132212

What OpenQuestion holds

Textmetadata
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.