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Mouse models in oncogenesis and cancer therapy

Overview of attention for article published in Clinical and Translational Oncology, May 2006
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

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1 X user
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178 patents

Citations

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115 Dimensions

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92 Mendeley
Title
Mouse models in oncogenesis and cancer therapy
Published in
Clinical and Translational Oncology, May 2006
DOI 10.1007/s12094-006-0177-7
Pubmed ID
Authors

María Virtudes Céspedes, Isolda Casanova, Matilde Parreño, Ramón Mangues

Abstract

Animal models have been critical in the study of the molecular mechanisms of cancer and in the development of new antitumor agents; nevertheless, there is still much room for improvement. The relevance of each particular model depends on how close it replicates the histology, physiological effects, biochemical pathways and metastatic pattern observed in the same human tumor type. Metastases are especially important because they are the main determinants of the clinical course of the disease and patient survival, and are the target of systemic therapy. The generation of clinically relevant models using the mouse requires their humanization, since differences exist in transformation and oncogenesis between human and mouse. Although genetically modified (GM) mice have been instrumental in understanding the molecular mechanisms involved in tumor initiation, they have been less successful in replicating advanced cancer. Moreover, a particular genetic alteration frequently leads to different tumor types in human and mouse and to lower metastastatic rates in GM mice than in humans. These findings question the capacity of current GM mouse carcinoma models to predict clinical response to therapy. On the other hand, orthotopic (ORT) xenografts of human tumors, or tumor cell lines, in nude mice reproduce the histology and metastatic pattern of most human tumors at advanced stage. Using ex vivo genetic manipulation of human tumor cells, ORT models can be used to molecularly dissect the metastatic process and to evaluate in vivo tumor response to therapy, using non-invasive procedures. Nevertheless, this approach is not useful in the study of the initial stages of tumorigenesis or the contribution of the immune system in this process. Despite ORT models are more promising than the most commonly used subcutaneous xenografts in preclinical drug development, their capacity to predict clinical response to antitumor agents remains to be studied. Humanizing mouse models of cancer will most likely require the combined use of currently available methodologies.

X Demographics

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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 3 3%
United States 2 2%
United Kingdom 1 1%
Canada 1 1%
Unknown 85 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 18%
Student > Master 17 18%
Researcher 10 11%
Student > Bachelor 8 9%
Other 7 8%
Other 12 13%
Unknown 21 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 22%
Medicine and Dentistry 19 21%
Biochemistry, Genetics and Molecular Biology 16 17%
Chemistry 3 3%
Engineering 3 3%
Other 6 7%
Unknown 25 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 30 January 2024.
All research outputs
#6,650,648
of 23,495,502 outputs
Outputs from Clinical and Translational Oncology
#286
of 1,350 outputs
Outputs of similar age
#20,764
of 67,017 outputs
Outputs of similar age from Clinical and Translational Oncology
#2
of 3 outputs
Altmetric has tracked 23,495,502 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,350 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 78% 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 67,017 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 66% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.