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Transgenic Mouse Models in Cancer Research

Overview of attention for article published in Frontiers in oncology, July 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

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2 X users
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1 patent

Citations

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143 Dimensions

Readers on

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431 Mendeley
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Title
Transgenic Mouse Models in Cancer Research
Published in
Frontiers in oncology, July 2018
DOI 10.3389/fonc.2018.00268
Pubmed ID
Authors

Ursa Lampreht Tratar, Simon Horvat, Maja Cemazar

Abstract

The use of existing mouse models in cancer research is of utmost importance as they aim to explore the casual link between candidate cancer genes and carcinogenesis as well as to provide models to develop and test new therapies. However, faster progress in translating mouse cancer model research into the clinic has been hampered due to the limitations of these models to better reflect the complexities of human tumors. Traditionally, immunocompetent and immunodeficient mice with syngeneic and xenografted tumors transplanted subcutaneously or orthotopically have been used. These models are still being widely employed for many different types of studies, in part due to their widespread availability and low cost. Other types of mouse models used in cancer research comprise transgenic mice in which oncogenes can be constitutively or conditionally expressed and tumor-suppressor genes silenced using conventional methods, such as retroviral infection, microinjection of DNA constructs, and the so-called "gene-targeted transgene" approach. These traditional transgenic models have been very important in studies of carcinogenesis and tumor pathogenesis, as well as in studies evaluating the development of resistance to therapy. Recently, the clustered regularly interspaced short palindromic repeats (CRISPR)-based genome editing approach has revolutionized the field of mouse cancer models and has had a profound and rapid impact on the development of more effective systems to study human cancers. The CRISPR/Cas9-based transgenic models have the capacity to engineer a wide spectrum of mutations found in human cancers and provide solutions to problems that were previously unsolvable. Recently, humanized mouse xenograft models that accept patient-derived xenografts and CD34+ cells were developed to better mimic tumor heterogeneity, the tumor microenvironment, and cross-talk between the tumor and stromal/immune cells. These features make them extremely valuable models for the evaluation of investigational cancer therapies, specifically new immunotherapies. Taken together, improvements in both the CRISPR/Cas9 system producing more valid mouse models and in the humanized mouse xenograft models resembling complex interactions between the tumor and its environment might represent one of the successful pathways to precise individualized cancer therapy, leading to improved cancer patient survival and quality of life.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 431 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 431 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 72 17%
Student > Ph. D. Student 68 16%
Student > Master 52 12%
Researcher 35 8%
Student > Doctoral Student 18 4%
Other 28 6%
Unknown 158 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 128 30%
Agricultural and Biological Sciences 38 9%
Pharmacology, Toxicology and Pharmaceutical Science 23 5%
Medicine and Dentistry 22 5%
Immunology and Microbiology 14 3%
Other 42 10%
Unknown 164 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 19 August 2021.
All research outputs
#7,315,905
of 25,411,814 outputs
Outputs from Frontiers in oncology
#2,560
of 22,484 outputs
Outputs of similar age
#117,318
of 340,145 outputs
Outputs of similar age from Frontiers in oncology
#38
of 149 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 22,484 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 88% 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 340,145 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 65% of its contemporaries.
We're also able to compare this research output to 149 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 73% of its contemporaries.