↓ Skip to main content

Mutational landscapes of tongue carcinoma reveal recurrent mutations in genes of therapeutic and prognostic relevance

Overview of attention for article published in Genome Medicine, September 2015
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
63 Dimensions

Readers on

mendeley
71 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
Mutational landscapes of tongue carcinoma reveal recurrent mutations in genes of therapeutic and prognostic relevance
Published in
Genome Medicine, September 2015
DOI 10.1186/s13073-015-0219-2
Pubmed ID
Authors

Andre Luiz Vettore, Kalpana Ramnarayanan, Gregory Poore, Kevin Lim, Choon Kiat Ong, Kie Kyon Huang, Hui Sun Leong, Fui Teen Chong, Tony Kiat-Hon Lim, Weng Khong Lim, Ioana Cutcutache, John R. Mcpherson, Yuka Suzuki, Shenli Zhang, Thakshayeni Skanthakumar, Weining Wang, Daniel SW Tan, Byoung Chul Cho, Bin Tean Teh, Steve Rozen, Patrick Tan, N. Gopalakrishna Iyer

Abstract

Carcinoma of the oral tongue (OTSCC) is the most common malignancy of the oral cavity, characterized by frequent recurrence and poor survival. The last three decades has witnessed a change in the OTSCC epidemiological profile, with increasing incidence in younger patients, females and never-smokers. Here, we sought to characterize the OTSCC genomic landscape and to determine factors that may delineate the genetic basis of this disease, inform prognosis and identify targets for therapeutic intervention. Seventy-eight cases were subjected to whole-exome (n = 18) and targeted deep sequencing (n = 60). While the most common mutation was in TP53, the OTSCC genetic landscape differed from previously described cohorts of patients with head and neck tumors: OTSCCs demonstrated frequent mutations in DST and RNF213, while alterations in CDKN2A and NOTCH1 were significantly less frequent. Despite a lack of previously reported NOTCH1 mutations, integrated analysis showed enrichments of alterations affecting Notch signaling in OTSCC. Importantly, these Notch pathway alterations were prognostic on multivariate analyses. A high proportion of OTSCCs also presented with alterations in drug targetable and chromatin remodeling genes. Patients harboring mutations in actionable pathways were more likely to succumb from recurrent disease compared with those who did not, suggesting that the former should be considered for treatment with targeted compounds in future trials. Our study defines the Asian OTSCC mutational landscape, highlighting the key role of Notch signaling in oral tongue tumorigenesis. We also observed somatic mutations in multiple therapeutically relevant genes, which may represent candidate drug targets in this highly lethal tumor type.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Nigeria 1 1%
Unknown 70 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 24%
Student > Ph. D. Student 14 20%
Student > Master 8 11%
Student > Doctoral Student 7 10%
Student > Bachelor 6 8%
Other 9 13%
Unknown 10 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 34%
Medicine and Dentistry 21 30%
Agricultural and Biological Sciences 8 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Computer Science 1 1%
Other 3 4%
Unknown 13 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 September 2015.
All research outputs
#10,110,539
of 17,897,867 outputs
Outputs from Genome Medicine
#1,023
of 1,203 outputs
Outputs of similar age
#111,012
of 256,868 outputs
Outputs of similar age from Genome Medicine
#2
of 2 outputs
Altmetric has tracked 17,897,867 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,203 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.1. This one is in the 13th percentile – i.e., 13% 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 256,868 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 55% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.