Evidence map›Paper›PMID 26965929›Full record

ArticleClinical and translational medicine2016

Localization of tamoxifen in human breast cancer tumors by MALDI mass spectrometry imaging.

Ákos Végvári, Alexander S Shavkunov, Thomas E Fehniger, Dorthe Grabau, Emma Niméus, György Marko-Varga

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.7field-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

7 citing papers in PubMed, 24 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

6 authors at 2 institutions in 2 countries.

Ákos VégváriDepartment of Biomedical Engineering, Clinical Protein Science and Imaging, Lund University, BMC D13, 221 84, Lund, Sweden. Akos.Vegvari@bme.lth.se.ORCID http://orcid.org/0000-0002-1287-0906
Alexander S ShavkunovDepartment of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX, USA.
Thomas E FehnigerDepartment of Biomedical Engineering, Clinical Protein Science and Imaging, Lund University, BMC D13, 221 84, Lund, Sweden.
Dorthe GrabauDepartment of Oncology and Pathology, Clinical Science, Lund University, Lund, Sweden.
Emma NiméusDepartment of Oncology and Pathology, Clinical Science, Lund University, Lund, Sweden.
György Marko-VargaDepartment of Biomedical Engineering, Clinical Protein Science and Imaging, Lund University, BMC D13, 221 84, Lund, Sweden.
Lund University · SEThe University of Texas Medical Branch at Galveston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTamoxifen is used in endocrine treatment of breast cancer to inhibit estrogen signaling. A set of stratified ER-positive and ER-negative tumor sections was subjected to manual deposition of tamoxifen solution in order to investigate its spatial distribution upon exposure to interaction within thin tissue sections.

methodsThe localization of tamoxifen in tumor sections was assessed by matrix assisted laser deposition/ionization mass spectrometry imaging. The images of extracted ion maps were analyzed for comparison of signal intensity distributions.

resultsThe precursor ion of tamoxifen (m/z 372.233) displayed heterogeneous signal intensity distributions in histological compartments of tumor tissue sections. The levels of tamoxifen in tumor cells compared with stroma were higher in ER-positive tissues, whereas ER-negative tissue sections showed lower signal intensities in tumor cells.

conclusionsThe experimental model was successfully applied on frozen tumor samples allowing for differentiation between ER groups based on distribution of tamoxifen.

Indexed as

Drug localizationDrug quantificationEstrogen receptor stratificationHuman breast cancerMALDI-mass spectrometry imagingTamoxifen treatment

Identifiers

PMID26965929
PMCPMC4786513
OpenAlexW2296217832

What OpenQuestion holds

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Registered trials

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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.