↓ Skip to main content

Putative Breast Cancer Driver Mutations in TBX3 Cause Impaired Transcriptional Repression

Overview of attention for article published in Frontiers in oncology, October 2015
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
36 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Putative Breast Cancer Driver Mutations in TBX3 Cause Impaired Transcriptional Repression
Published in
Frontiers in oncology, October 2015
DOI 10.3389/fonc.2015.00244
Pubmed ID
Authors

Kathrin Fischer, Gert O. Pflugfelder

Abstract

The closely related T-box transcription factors TBX2 and TBX3 are frequently overexpressed in melanoma and various types of human cancers, in particular, breast cancer. The overexpression of TBX2 and TBX3 can have several cellular effects, among them suppression of senescence, promotion of epithelial-mesenchymal transition, and invasive cell motility. In contrast, loss of function of TBX3 and most other human T-box genes causes developmental haploinsufficiency syndromes. Stephens and colleagues (1), by exome sequencing of breast tumor samples, identified five different mutations in TBX3, all affecting the DNA-binding T-domain. One in-frame deletion of a single amino acid, p.N212delN, was observed twice. Due to the clustering of these mutations to the T-domain and for statistical reasons, TBX3 was inferred to be a driver gene in breast cancer. Since mutations in the T-domain generally cause loss of function and because the tumorigenic action of TBX3 has generally been attributed to overexpression, we determined whether the putative driver mutations had loss- or gain-of-function properties. We tested two in-frame deletions, one missense, and one frameshift mutant protein for DNA-binding in vitro, and for target gene repression in cell culture. In addition, we performed an in silico analysis of somatic TBX mutations in breast cancer, collected in The Cancer Genome Atlas (TCGA). Both the experimental and the in silico analysis indicate that the observed mutations predominantly cause loss of TBX3 function.

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

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 7 19%
Student > Ph. D. Student 6 17%
Student > Master 6 17%
Student > Doctoral Student 4 11%
Researcher 3 8%
Other 6 17%
Unknown 4 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 47%
Agricultural and Biological Sciences 8 22%
Medicine and Dentistry 5 14%
Immunology and Microbiology 2 6%
Unknown 4 11%
Attention Score in Context

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 19 November 2015.
All research outputs
#20,726,842
of 25,461,852 outputs
Outputs from Frontiers in oncology
#11,385
of 22,544 outputs
Outputs of similar age
#216,738
of 295,659 outputs
Outputs of similar age from Frontiers in oncology
#49
of 77 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,544 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 295,659 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.