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Smoking, Green Tea Consumption, Genetic Polymorphisms in the Insulin-Like Growth Factors and Lung Cancer Risk

Overview of attention for article published in PLOS ONE, February 2012
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
5 X users
facebook
1 Facebook page
googleplus
1 Google+ user
q&a
1 Q&A thread

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
36 Mendeley
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Title
Smoking, Green Tea Consumption, Genetic Polymorphisms in the Insulin-Like Growth Factors and Lung Cancer Risk
Published in
PLOS ONE, February 2012
DOI 10.1371/journal.pone.0030951
Pubmed ID
Authors

I-Hsin Lin, Ming-Lin Ho, Hsuan-Yu Chen, Hong-Shen Lee, Chia-Chen Huang, Yin-Hung Chu, Shiau-Yun Lin, Ya-Ru Deng, Yu-Hao He, Yu-Hui Lien, Chi-Wen Hsu, Ruey-Hong Wong

Abstract

Insulin-like growth factors (IGFs) are mediators of growth hormones; they have an influence on cell proliferation and differentiation. In addition, IGF-binding protein (IGFBP)-3 could suppress the mitogenic action of IGFs. Interestingly, tea polyphenols could substantially reduce IGF1 and increase IGFBP3. In this study, we evaluated the effects of smoking, green tea consumption, as well as IGF1, IGF2, and IGFBP3 polymorphisms, on lung cancer risk. Questionnaires were administered to obtain the subjects' characteristics, including smoking habits and green tea consumption from 170 primary lung cancer cases and 340 healthy controls. Genotypes for IGF1, IGF2, and IGFBP3 were identified by polymerase chain reaction. Lung cancer cases had a higher proportion of smoking, green tea consumption of less than one cup per day, exposure to cooking fumes, and family history of lung cancer than controls. After adjusting the confounding effect, an elevated risk was observed in smokers who never drank green tea, as compared to smokers who drank green tea more than one cup per day (odds ratio (OR) = 13.16, 95% confidence interval (CI) = 2.96-58.51). Interaction between smoking and green tea consumption on lung cancer risk was also observed. Among green tea drinkers who drank more than one cup per day, IGF1 (CA)(19)/(CA)(19) and (CA)(19)/X genotypes carriers had a significantly reduced risk of lung cancer (OR = 0.06, 95% CI = 0.01-0.44) compared with IGF1 X/X carriers. Smoking-induced pulmonary carcinogenesis could be modulated by green tea consumption and their growth factor environment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 %
United Kingdom 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 22%
Student > Master 7 19%
Student > Postgraduate 5 14%
Student > Bachelor 4 11%
Student > Ph. D. Student 2 6%
Other 5 14%
Unknown 5 14%
Readers by discipline Count As %
Medicine and Dentistry 12 33%
Agricultural and Biological Sciences 5 14%
Biochemistry, Genetics and Molecular Biology 4 11%
Engineering 2 6%
Physics and Astronomy 1 3%
Other 3 8%
Unknown 9 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 23 September 2018.
All research outputs
#1,340,734
of 23,577,654 outputs
Outputs from PLOS ONE
#17,417
of 202,084 outputs
Outputs of similar age
#9,630
of 251,259 outputs
Outputs of similar age from PLOS ONE
#230
of 3,413 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 202,084 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. 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 251,259 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 3,413 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 93% of its contemporaries.