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Functional and genomic analyses reveal therapeutic potential of targeting β-catenin/CBP activity in head and neck cancer

Overview of attention for article published in Genome Medicine, July 2018
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  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

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3 X users
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1 Wikipedia page

Citations

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41 Dimensions

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70 Mendeley
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Title
Functional and genomic analyses reveal therapeutic potential of targeting β-catenin/CBP activity in head and neck cancer
Published in
Genome Medicine, July 2018
DOI 10.1186/s13073-018-0569-7
Pubmed ID
Authors

Vinay K. Kartha, Khalid A. Alamoud, Khikmet Sadykov, Bach-Cuc Nguyen, Fabrice Laroche, Hui Feng, Jina Lee, Sara I. Pai, Xaralabos Varelas, Ann Marie Egloff, Jennifer E. Snyder-Cappione, Anna C. Belkina, Manish V. Bais, Stefano Monti, Maria A. Kukuruzinska

Abstract

Head and neck squamous cell carcinoma (HNSCC) is an aggressive malignancy characterized by tumor heterogeneity, locoregional metastases, and resistance to existing treatments. Although a number of genomic and molecular alterations associated with HNSCC have been identified, they have had limited impact on the clinical management of this disease. To date, few targeted therapies are available for HNSCC, and only a small fraction of patients have benefited from these treatments. A frequent feature of HNSCC is the inappropriate activation of β-catenin that has been implicated in cell survival and in the maintenance and expansion of stem cell-like populations, thought to be the underlying cause of tumor recurrence and resistance to treatment. However, the therapeutic value of targeting β-catenin activity in HNSCC has not been explored. We utilized a combination of computational and experimental profiling approaches to examine the effects of blocking the interaction between β-catenin and cAMP-responsive element binding (CREB)-binding protein (CBP) using the small molecule inhibitor ICG-001. We generated and annotated in vitro treatment gene expression signatures of HNSCC cells, derived from human oral squamous cell carcinomas (OSCCs), using microarrays. We validated the anti-tumorigenic activity of ICG-001 in vivo using SCC-derived tumor xenografts in murine models, as well as embryonic zebrafish-based screens of sorted stem cell-like subpopulations. Additionally, ICG-001-inhibition signatures were overlaid with RNA-sequencing data from The Cancer Genome Atlas (TCGA) for human OSCCs to evaluate its association with tumor progression and prognosis. ICG-001 inhibited HNSCC cell proliferation and tumor growth in cellular and murine models, respectively, while promoting intercellular adhesion and loss of invasive phenotypes. Furthermore, ICG-001 preferentially targeted the ability of subpopulations of stem-like cells to establish metastatic tumors in zebrafish. Significantly, interrogation of the ICG-001 inhibition-associated gene expression signature in the TCGA OSCC human cohort indicated that the targeted β-catenin/CBP transcriptional activity tracked with tumor status, advanced tumor grade, and poor overall patient survival. Collectively, our results identify β-catenin/CBP interaction as a novel target for anti-HNSCC therapy and provide evidence that derivatives of ICG-001 with enhanced inhibitory activity may serve as an effective strategy to interfere with aggressive features of HNSCC.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 19%
Student > Bachelor 10 14%
Student > Master 5 7%
Other 5 7%
Student > Doctoral Student 5 7%
Other 14 20%
Unknown 18 26%
Readers by discipline Count As %
Medicine and Dentistry 17 24%
Biochemistry, Genetics and Molecular Biology 13 19%
Agricultural and Biological Sciences 7 10%
Immunology and Microbiology 4 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 6 9%
Unknown 21 30%
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 14 December 2021.
All research outputs
#6,116,063
of 22,691,736 outputs
Outputs from Genome Medicine
#1,022
of 1,434 outputs
Outputs of similar age
#106,703
of 327,769 outputs
Outputs of similar age from Genome Medicine
#21
of 25 outputs
Altmetric has tracked 22,691,736 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,434 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. 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 327,769 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 67% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.