↓ Skip to main content

TP53 Mutation Spectrum in Smokers and Never Smoking Lung Cancer Patients

Overview of attention for article published in Frontiers in Genetics, May 2016
Altmetric Badge

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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
71 Dimensions

Readers on

mendeley
98 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
TP53 Mutation Spectrum in Smokers and Never Smoking Lung Cancer Patients
Published in
Frontiers in Genetics, May 2016
DOI 10.3389/fgene.2016.00085
Pubmed ID
Authors

Ann R. Halvorsen, Laxmi Silwal-Pandit, Leonardo A. Meza-Zepeda, Daniel Vodak, Phuong Vu, Camilla Sagerup, Eivind Hovig, Ola Myklebost, Anne-Lise Børresen-Dale, Odd T. Brustugun, Åslaug Helland

Abstract

TP53 mutations are among the most common mutations found in lung cancers, identified as an independent prognostic factor in many types of cancers. The purpose of this study was to investigate the frequency and prognostic impact of TP53 mutations in never-smokers and in different histological subtypes of lung cancer. We analyzed tumor tissue from 394 non-small cell carcinomas including adenocarcinomas (n = 229), squamous cell carcinomas (n = 112), large cell carcinomas (n = 30), and others (n = 23) for mutations in TP53 by the use of Sanger sequencing (n = 394) and next generation sequencing (n = 100). TP53 mutations were identified in 47.2% of the samples, with the highest frequency (65%) of mutations among squamous cell carcinomas. Among never-smokers, 36% carried a TP53 mutation, identified as a significant independent negative prognostic factor in this subgroup. For large cell carcinomas, a significantly prolonged progression free survival was found for those carrying a TP53 mutation. In addition, the frequency of frameshift mutations was doubled in squamous cell carcinomas (20.3%) compared to adenocarcinomas (9.1%). TP53 mutation patterns differ between the histological subgroups of lung cancers, and are also influenced by smoking history. This indicates that the histological subtypes in lung cancer are genetically different, and that smoking-induced TP53 mutations may have a different biological impact than TP53 mutations occurring in never-smokers.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 98 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 15%
Student > Bachelor 13 13%
Researcher 11 11%
Student > Master 11 11%
Other 9 9%
Other 11 11%
Unknown 28 29%
Readers by discipline Count As %
Medicine and Dentistry 23 23%
Agricultural and Biological Sciences 18 18%
Biochemistry, Genetics and Molecular Biology 17 17%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Immunology and Microbiology 2 2%
Other 4 4%
Unknown 32 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 29 March 2022.
All research outputs
#3,312,818
of 23,443,716 outputs
Outputs from Frontiers in Genetics
#1,010
of 12,476 outputs
Outputs of similar age
#55,776
of 311,106 outputs
Outputs of similar age from Frontiers in Genetics
#10
of 80 outputs
Altmetric has tracked 23,443,716 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,476 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 91% 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 311,106 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 81% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.