Evidence map›Paper›PMID 22740964›Full record

ArticleOncology letters2012

Polymorphisms of the FAS and FASL genes and risk of breast cancer.

Wenmin Wang, Zhongqiu Zheng, Wenjie Yu, Hui Lin, Binbin Cui, Feilin Cao

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 10 pooled it
2.7field-weighted citation impact, top 10% 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

23 citing papers in PubMed, 10 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Association between CD95L polymorphism and cervical cancer risk: evidence from a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  3. Quantitative assessment of the association between three polymorphisms in FAS and FASL gene and breast cancer risk.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  4. FAS-1377 A/G polymorphism in breast cancer: a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  5. FASLG T844C polymorphism and susceptibility to breast cancer: a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  6. Pooled it
  7. Association between FAS 1377G>A polymorphism and breast cancer susceptibility: a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  8. Pooled it
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  11. Article
  12. Review
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  16. Article
  17. Promoter polymorphism of FASL confers protection against female-specific cancers and those of FAS impact the cancers divergently.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Article
  18. Association between Fas/FasL polymorphism and susceptibility to leukemia: a meta-analysis.International journal of clinical and experimental medicine · 2015
    Article
  19. The diplotype Fas -1377A/-670G as a genetic marker to predict a lower risk of breast cancer in Chinese women.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Article
  20. Association of genetic variants in apoptosis genes FAS and FASL with radiation-induced late toxicity after prostate cancer radiotherapy.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2014
    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

6 authors.

Wenmin WangDepartment of Surgical Oncology, Taizhou Hospital, Wenzhou Medical College, Linhai, Zhejiang 317000, P.R. China.
Zhongqiu Zheng
Wenjie Yu
Hui Lin
Binbin Cui
Feilin Cao

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

FAS and its ligand FASL are crucial in apoptotic cell death. Loss of FAS and gain of aberrant FASL expression are common features of malignant transformation. This study was designed to investigate whether the functional polymorphisms of FAS -1377G/A (rs2234767) and FASL -844T/C (rs763110) affect the risk of developing breast cancer. Genotypes were analyzed by a polymerase chain reaction-restriction fragment length polymorphism assay in 436 breast cancer patients and 496 healthy controls. In this study, as compared to the wild-type homozygote and heterozygote, the distribution of the FAS -1377GG, GA and AA genotypes among breast cancer patients were significantly different from those among healthy controls (P=0.011), with the AA genotype being more prevalent among patients than the controls (P=0.003). Similarly, the frequencies of the FASL -844TT, TC and CC genotypes also significantly differed among breast cancer patients and healthy controls (P<0.001), with the CC genotype being significantly over-represented in breast cancer patients compared with the controls (P<0.001). In the unconditional logistic regression model following adjustment for age, the subjects carrying the FAS -1377AA genotype had a 1.75-fold increased risk [95% confidence interval (CI), 1.13-2.69] for development of breast cancer compared with patients carrying the GG genotype. Similarly, in the recessive model, the FASL -844CC genotype significantly increased the risk of breast cancer with an odds ratio (OR) of 1.92 (95% CI 1.46-2.54) compared with the TT or TT + TC genotypes. Our results suggest that functional polymorphisms in the death pathway genes FAS and FASL significantly contribute to the occurrence of breast cancer.

Identifiers

PMID22740964
PMCPMC3362490
OpenAlexW1970285616

What OpenQuestion holds

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Registered trials

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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.