Evidence map›Paper›PMID 32142606›Full record

ArticleAnalytical chemistry2020

Rapid and Simultaneous Characterization of Drug Conjugation in Heavy and Light Chains of a Monoclonal Antibody Revealed by High-Resolution Ion Mobility Separations in SLIM.

Gabe Nagy, Isaac K Attah, Christopher R Conant, Weijing Liu, Sandilya V B Garimella, Harsha P Gunawardena, Jared B Shaw, Richard D Smith, Yehia M Ibrahim

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Review
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  7. Review
  8. Article
  9. Enhancing the Depth of Analyses with Next-Generation Ion Mobility Experiments.Annual review of analytical chemistry (Palo Alto, Calif.) · 2023
    Review
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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

9 authors at 2 institutions in 1 country.

Gabe NagyBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.ORCID 0000-0001-9007-4422
Isaac K AttahBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Christopher R ConantBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Weijing LiuEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.
Sandilya V B GarimellaBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Harsha P GunawardenaJanssen Research & Development, The Janssen Pharmaceutical Companies of Johnson & Johnson, Spring House, Pennsylvania 19477, United States.ORCID 0000-0003-3245-3293
Jared B ShawEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.ORCID 0000-0002-1130-1728
Richard D SmithBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.ORCID 0000-0002-2381-2349
Yehia M IbrahimBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.ORCID 0000-0001-6085-193X
Pacific Northwest National Laboratory · USJohnson & Johnson (United States) · US

Funding

Equipment Supplement Request for a Research Resource for Ultra-sensitive High Throughput ProteomicsP41GM103493 · NIGMS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2012 to 2022
$22.6M
High Resolution High Throughput Proteomics Platform for Cancer ResearchR33CA217699 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI IBRAHIM, YEHIA · 2017 to 2019
$1.3M
NCI NIH HHS R33 CA217699NIGMS NIH HHS P41 GM103493
6 · The paper itself

Abstract

Antibody-drug conjugates (ADCs) have recently gained traction in the biomedical community due to their promise for human therapeutics and an alternative to chemotherapy for cancer. Crucial metrics for ADC efficacy, safety, and selectivity are their drug-antibody ratios (DARs). However, DAR characterization (i.e., determining the average number of conjugated drugs on the antibody) through analytical methods remains challenging due to the heterogeneity of drug conjugation as well as the numerous post-translational modifications possible in the monoclonal antibody. Herein, we report on the use of high-resolution ion mobility spectrometry separations in structures for lossless ion manipulations coupled to mass spectrometry (SLIM IMS-MS) for the rapid and simultaneous characterization of the drug load profile (i.e., stoichiometric distribution of the number of conjugated drugs present on the mAb), determination of the weighted average DAR in both the heavy and light chains of a model antibody-drug conjugate, and calculation of the overall DAR of the ADC. After chemical reduction of the ADC and a subsequent 31.5 m SLIM IMS separation, the various drug-bound antibody species could be well resolved for both chains. We also show significantly higher resolution separations were possible for these large ions with SLIM IMS as compared to ones performed on a commercially available (1 m) drift tube IMS-MS platform. We expect high-resolution SLIM IMS separations will augment the existing toolbox for ADC characterization, particularly to enable the rapid optimization of DAR for a given ADC and thus better understand its potential toxicity and potency.

Indexed as

Antibodies, MonoclonalHumansImmunoconjugatesMass SpectrometryMolecular StructurePharmaceutical PreparationsAntibodies, MonoclonalImmunoconjugatesPharmaceutical Preparations

Identifiers

PMID32142606
PMCPMC8754684
OpenAlexW3009894781

What OpenQuestion holds

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LicenceTDM
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.