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New therapeutic strategies to treat human cancers expressing mutant p53 proteins

Overview of attention for article published in Journal of Experimental & Clinical Cancer Research, February 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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1 news outlet
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6 X users

Citations

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163 Dimensions

Readers on

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196 Mendeley
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Title
New therapeutic strategies to treat human cancers expressing mutant p53 proteins
Published in
Journal of Experimental & Clinical Cancer Research, February 2018
DOI 10.1186/s13046-018-0705-7
Pubmed ID
Authors

Giovanni Blandino, Silvia Di Agostino

Abstract

The tumor suppressor p53 plays a critical role to preserve DNA fidelity from diverse insults through the regulation of cell-cycle checkpoints, DNA repair, senescence and apoptosis. The TP53 is the most frequently inactivated gene in human cancers. This leads to the production of mutant p53 proteins that loose wild-type p53 tumor suppression functions and concomitantly acquire new oncogenic properties among which deregulated cell proliferation, increased chemoresistance, disruption of tissue architecture, promotion of migration, invasion and metastasis and several other pro-oncogenic activities. Mouse models show that the genetic reconstitution of the wild type p53 tumor suppression functions rescues tumor growth. This strongly supports the notion that either restoring wt-p53 activity or inhibiting mutant p53 oncogenic activity could provide an efficient strategy to treat human cancers. In this review we briefly summarize recent advances in the study of small molecules and compounds that subvert oncogenic activities of mutant p53 protein into wt-p53 tumor suppressor functions. We highlight inhibitors of signaling pathways aberrantly modulated by oncogenic mutant p53 proteins as promising therapeutic strategies. Finally, we consider the clinical applications of compounds targeting mutant p53 and the use of currently available drugs in the treatment of tumors expressing mutant p53 proteins.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 196 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 196 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 39 20%
Student > Ph. D. Student 32 16%
Student > Master 22 11%
Researcher 19 10%
Student > Doctoral Student 7 4%
Other 19 10%
Unknown 58 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 62 32%
Medicine and Dentistry 17 9%
Pharmacology, Toxicology and Pharmaceutical Science 14 7%
Agricultural and Biological Sciences 13 7%
Engineering 6 3%
Other 21 11%
Unknown 63 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 October 2020.
All research outputs
#2,656,847
of 25,382,440 outputs
Outputs from Journal of Experimental & Clinical Cancer Research
#113
of 2,380 outputs
Outputs of similar age
#63,974
of 470,360 outputs
Outputs of similar age from Journal of Experimental & Clinical Cancer Research
#2
of 40 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,380 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 95% 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 470,360 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.