Evidence map›Paper›PMID 29958059›Full record

ArticlemAbs2018

Characterization of in vivo biotransformations for trastuzumab emtansine by high-resolution accurate-mass mass spectrometry.

Jintang He, Shang-Fan Yu, Sharon Yee, Surinder Kaur, Keyang Xu

Open access · goldAbstract read
In one paragraph

Article in mAbs, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

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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

5 authors.

Jintang Hea Genentech Research and Early Development, Genentech Inc ., South San Francisco, CA , USA.ORCID 0000-0001-9118-1086
Shang-Fan Yua Genentech Research and Early Development, Genentech Inc ., South San Francisco, CA , USA.
Sharon Yeea Genentech Research and Early Development, Genentech Inc ., South San Francisco, CA , USA.
Surinder Kaura Genentech Research and Early Development, Genentech Inc ., South San Francisco, CA , USA.
Keyang Xua Genentech Research and Early Development, Genentech Inc ., South San Francisco, CA , USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trastuzumab emtansine (T-DM1) is an antibody-drug conjugate (ADC) designed for the treatment of HER2-positive cancers. T-DM1 is composed of the humanized monoclonal antibody trastuzumab connected to a maytansine derivative cytotoxic drug, via a nonreducible thioether linker at random lysine residues, and therefore has a very complex molecular structure. It was anticipated that T-DM1 undergoes biotransformations in circulation. However, there was limited knowledge on these structural changes due to bioanalytical challenges. Here, we have investigated the in vivo biotransformations of T-DM1 using a high-resolution accurate-mass (HR/AM) mass spectrometry approach. Three types of biotransformations were characterized for T-DM1 in circulation in tumor-bearing mice, including cysteine or glutathione adduct formation via maleimide exchange, loss of maytansinol via ester hydrolysis, as well as addition of H

Indexed as

Ado-Trastuzumab EmtansineAnimalsAntineoplastic AgentsBiotransformationBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesFemaleHumansMass SpectrometryMaytansineMiceMice, SCIDMolecular StructureStomach NeoplasmsTrastuzumabXenograft Model Antitumor AssaysAdo-Trastuzumab EmtansineAntineoplastic AgentsErb-b2 Receptor Tyrosine KinasesMaytansineTrastuzumabbiotransformationcataboliteshigh resolutionhydrolysismaleimide exchangemass spectrometryT-DM1

Identifiers

PMID29958059
PMCPMC6204834
OpenAlexW2810462808

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.