Evidence map›Paper›PMID 24289300›Full record

ArticleBMC cancer2013

Effects of lifestyle and single nucleotide polymorphisms on breast cancer risk: a case-control study in Japanese women.

Taeko Mizoo, Naruto Taira, Keiko Nishiyama, Tomohiro Nogami, Takayuki Iwamoto, Takayuki Motoki, Tadahiko Shien, Junji Matsuoka, Hiroyoshi Doihara, Setsuko Ishihara and 6 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 10 pooled it
3.5field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 10 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Systematic Review and Meta-Analysis of Lifestyle and Reproductive Factors Associated with Risk of Breast Cancer in Asian Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Green tea (Camellia sinensis) for the prevention of cancer.The Cochrane database of systematic reviews · 2020
    Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Trial
  12. Article
  13. Article
  14. Article
  15. Article
  16. A Review of the Epidemiology of Breast Cancer in Asia: Focus on Risk Factors.Asian Pacific journal of cancer prevention : APJCP · 2020
    Review
  17. SNHG1 Long Noncoding RNA is Potentially Up-Regulated in Colorectal Adenocarcinoma.Asian Pacific journal of cancer prevention : APJCP · 2020
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 5 institutions in 1 country.

Taeko Mizoo
Naruto TairaDepartment of General Thoracic Surgery and Breast and Endocrinological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Okayama-city, Okayama 700-8558, Japan. ntaira@md.okayama-u.ac.jp.
Keiko Nishiyama
Tomohiro Nogami
Takayuki Iwamoto
Takayuki Motoki
Tadahiko Shien
Junji Matsuoka
Hiroyoshi Doihara
Setsuko Ishihara
Hiroshi Kawai
Kensuke Kawasaki
Youichi Ishibe
Yutaka Ogasawara
Yoshifumi Komoike
Shinichiro Miyoshi
Okayama University · JPKindai University · JPMizushima Central Hospital · JPNagasaki Rousai Hospital · JPOkayama Saiseikai General Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLifestyle factors, including food and nutrition, physical activity, body composition and reproductive factors, and single nucleotide polymorphisms (SNPs) are associated with breast cancer risk, but few studies of these factors have been performed in the Japanese population. Thus, the goals of this study were to validate the association between reported SNPs and breast cancer risk in the Japanese population and to evaluate the effects of SNP genotypes and lifestyle factors on breast cancer risk.

methodsA case-control study in 472 patients and 464 controls was conducted from December 2010 to November 2011. Lifestyle was examined using a self-administered questionnaire. We analyzed 16 breast cancer-associated SNPs based on previous GWAS or candidate-gene association studies. Age or multivariate-adjusted odds ratios (OR) and 95% confidence intervals (95% CI) were estimated from logistic regression analyses.

resultsHigh BMI and current or former smoking were significantly associated with an increased breast cancer risk, while intake of meat, mushrooms, yellow and green vegetables, coffee, and green tea, current leisure-time exercise, and education were significantly associated with a decreased risk. Three SNPs were significantly associated with a breast cancer risk in multivariate analysis: rs2046210 (per allele OR=1.37 [95% CI: 1.11-1.70]), rs3757318 (OR=1.33[1.05-1.69]), and rs3803662 (OR=1.28 [1.07-1.55]). In 2046210 risk allele carriers, leisure-time exercise was associated with a significantly decreased risk for breast cancer, whereas current smoking and high BMI were associated with a significantly decreased risk in non-risk allele carriers.

conclusionIn Japanese women, rs2046210 and 3757318 located near the ESR1 gene are associated with a risk of breast cancer, as in other Asian women. However, our findings suggest that exercise can decrease this risk in allele carriers.

Indexed as

Asian PeopleLife StylePolymorphism, Single NucleotideAdultAgedAge FactorsBreast NeoplasmsCase-Control StudiesFemaleHumansJapanMiddle AgedOdds RatioPopulation SurveillanceRisk

Identifiers

PMID24289300
PMCPMC3879029
OpenAlexW2025962794

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.