↓ Skip to main content

Association between UGT1A1*28*28 genotype and lung cancer in the Japanese population

Overview of attention for article published in International Journal of Clinical Oncology, November 2016
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
7 X users

Readers on

mendeley
16 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
Association between UGT1A1*28*28 genotype and lung cancer in the Japanese population
Published in
International Journal of Clinical Oncology, November 2016
DOI 10.1007/s10147-016-1061-2
Pubmed ID
Authors

Yoshitaka Nishikawa, Masashi Kanai, Maiko Narahara, Akiko Tamon, J. B. Brown, Kei Taneishi, Masahiko Nakatsui, Kazuya Okamoto, Yu Uneno, Daisuke Yamaguchi, Teruko Tomono, Yukiko Mori, Shigemi Matsumoto, Yasushi Okuno, Manabu Muto

Abstract

Lung cancer is the leading cause of cancer death and is closely linked to tobacco smoking. Genetic polymorphisms in genes that encode enzymes involved in metabolizing tobacco carcinogens could affect an individual's risk for lung cancer. While polymorphism of UDP-glucuronosyltransferase1A1 (UGT1A1) is involved in detoxification of benzo(a)pyrene-7,8-dihydrodiol(-), a major tobacco carcinogen, the association between UGT1A1 genotype and lung cancer has not been examined. We retrieved the clinical data of 5,285 patients who underwent systemic chemotherapy at Kyoto University Hospital. A total of 765 patients (194 lung cancer patients and 671 patients with other malignancies) with UGT1A1 genotyping data were included in this analysis. We used logistic regression with recessive, dominant, and additive models to identify differences in genotype frequencies between lung cancer and other malignancies. In the recessive model, UGT1A1*28*28 genotype was significantly associated with lung cancer compared to other malignancies (odds ratio 5.3, P = 0.0083). Among lung cancer patients with a smoking history, squamous cell carcinoma was significantly predominant in patients with UGT1A1*28*28 compared to those with other UGT1A1 genotypes (P = 0.024). This is the first study to demonstrate a significant association between the homozygous UGT1A1*28 genotype and lung cancer.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 19%
Student > Doctoral Student 2 13%
Student > Bachelor 2 13%
Student > Ph. D. Student 2 13%
Student > Master 2 13%
Other 2 13%
Unknown 3 19%
Readers by discipline Count As %
Medicine and Dentistry 5 31%
Agricultural and Biological Sciences 2 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Computer Science 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Other 2 13%
Unknown 4 25%
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 18 November 2016.
All research outputs
#6,774,069
of 24,849,927 outputs
Outputs from International Journal of Clinical Oncology
#118
of 943 outputs
Outputs of similar age
#96,006
of 319,135 outputs
Outputs of similar age from International Journal of Clinical Oncology
#3
of 20 outputs
Altmetric has tracked 24,849,927 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 943 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 87% 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 319,135 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 69% of its contemporaries.
We're also able to compare this research output to 20 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 90% of its contemporaries.