| Title |
Localization of tamoxifen in human breast cancer tumors by MALDI mass spectrometry imaging
|
|---|---|
| Published in |
Clinical and Translational Medicine, March 2016
|
| DOI | 10.1186/s40169-016-0090-9 |
| Pubmed ID | |
| Authors |
Ákos Végvári, Alexander S. Shavkunov, Thomas E. Fehniger, Dorthe Grabau, Emma Niméus, György Marko-Varga |
| Abstract |
Tamoxifen 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. The 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. The 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. The experimental model was successfully applied on frozen tumor samples allowing for differentiation between ER groups based on distribution of tamoxifen. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 38 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 21% |
| Researcher | 6 | 15% |
| Professor > Associate Professor | 5 | 13% |
| Student > Bachelor | 4 | 10% |
| Student > Doctoral Student | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 7 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 23% |
| Chemistry | 9 | 23% |
| Agricultural and Biological Sciences | 5 | 13% |
| Medicine and Dentistry | 4 | 10% |
| Engineering | 3 | 8% |
| Other | 1 | 3% |
| Unknown | 8 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 March 2016.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Clinical and Translational Medicine
#851
of 1,060 outputs
Outputs of similar age
#271,079
of 314,783 outputs
Outputs of similar age from Clinical and Translational Medicine
#8
of 9 outputs
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