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Mesenchymal stem cells expressing therapeutic genes induce autochthonous prostate tumour regression

Overview of attention for article published in European Journal of Cancer (1965), July 2014
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  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Title
Mesenchymal stem cells expressing therapeutic genes induce autochthonous prostate tumour regression
Published in
European Journal of Cancer (1965), July 2014
DOI 10.1016/j.ejca.2014.06.014
Pubmed ID
Authors

Alberto Abrate, Roberta Buono, Tamara Canu, Antonio Esposito, Alessandro Del Maschio, Roberta Lucianò, Arianna Bettiga, Giorgia Colciago, Giorgio Guazzoni, Fabio Benigni, Petter Hedlund, Cestmir Altaner, Francesco Montorsi, Ilaria T.R. Cavarretta

Abstract

Mesenchymal stem cells (MSC) as vehicles of therapeutic genes represent a unique tool to activate drugs within a neoplastic mass due to their property to home and engraft into tumours. In particular, MSC expressing the cytosine deaminase::uracil phosphoribosyltransferase (CD-MSC) have been previously demonstrated to inhibit growth of subcutaneous prostate cancer xenografts thanks to their ability to convert the non-toxic 5-fluorocytosine into the antineoplastic 5-fluorouracil. Since both the immune system and the tumour microenvironment play a crucial role in directing cancer progression, in order to advance towards clinical applications, we tested the therapeutic potential of this approach on animal models that develop autochthonous prostate cancer and preserve an intact immune system. As cell vectors, we employed adipose-tissue and bone-marrow MSC. CD-MSC toxicity on murine prostate cancer cells and tumour tropism were verified in vitro and ex-vivo before starting the preclinical studies. Magnetic Resonance Imaging was utilised to follow orthotopic tumour progression. We demonstrated that intravenous injections of CD-MSC cells, followed by intraperitoneal administration of 5-fluorocytosine, caused tumour regression in the transgenic adenocarcinoma of the mouse prostate (TRAMP) model, which develops aggressive and spontaneous prostate cancer. These results add new insights to the therapeutic potential of specifically engineered MSC in prostate cancer disease.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Researcher 7 16%
Student > Master 5 11%
Student > Bachelor 4 9%
Other 4 9%
Other 7 16%
Unknown 9 20%
Readers by discipline Count As %
Medicine and Dentistry 10 22%
Agricultural and Biological Sciences 8 18%
Biochemistry, Genetics and Molecular Biology 6 13%
Engineering 2 4%
Immunology and Microbiology 2 4%
Other 5 11%
Unknown 12 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 22 May 2020.
All research outputs
#7,960,052
of 25,374,647 outputs
Outputs from European Journal of Cancer (1965)
#2,677
of 6,871 outputs
Outputs of similar age
#71,328
of 239,673 outputs
Outputs of similar age from European Journal of Cancer (1965)
#23
of 80 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 6,871 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has gotten more attention than average, scoring higher than 59% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 239,673 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.