Evidence map›Paper›PMID 38744902›Full record

ArticleScientific reports2024

A simple and highly sensitive LC-MS workflow for characterization and quantification of ADC cleavable payloads.

Shi Ya Mak, Shuwen Chen, Wey Jia Fong, Andre Choo, Ying Swan Ho

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
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  3. Article
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  5. Review
  6. 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.

Shi Ya MakBioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A*STAR), Centros, Singapore, 138668, Singapore.
Shuwen ChenBioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A*STAR), Centros, Singapore, 138668, Singapore.
Wey Jia FongBioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A*STAR), Centros, Singapore, 138668, Singapore.
Andre ChooBioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A*STAR), Centros, Singapore, 138668, Singapore.
Ying Swan HoBioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A*STAR), Centros, Singapore, 138668, Singapore. ho_ying_swan@bti.a-star.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibody-drug conjugates (ADC) payloads are cleavable drugs that act as the warhead to exert an ADC's cytotoxic effects on cancer cells intracellularly. A simple and highly sensitive workflow is developed and validated for the simultaneous quantification of six ADC payloads, namely SN-38, MTX, DXd, MMAE, MMAF and Calicheamicin (CM). The workflow consists of a short and simple sample extraction using a methanol-ethanol mixture, followed by a fast liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis. The results showed that well-validated linear response ranges of 0.4-100 nM for SN38, MTX and DXd, 0.04-100 nM for MMAE and MMAF, 0.4-1000 nM for CM were achieved in mouse serum. Recoveries for all six payloads at three different concentrations (low, medium and high) were more than 85%. An ultra-low sample volume of only 5 µL of serum is required due to the high sensitivity of the method. This validated method was successfully applied to a pharmacokinetic study to quantify MMAE in mouse serum samples.

Indexed as

ImmunoconjugatesTandem Mass SpectrometryAnimalsChromatography, LiquidLiquid Chromatography-Mass SpectrometryMiceWorkflowImmunoconjugates

Identifiers

PMID38744902
PMCPMC11094190

What Socratic holds

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LicenceCC BY
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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 Socratic graph.