Evidence map›Paper›PMID 25051917›Full record

SynthesisTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

Correlations of IFN-γ genetic polymorphisms with susceptibility to breast cancer: a meta-analysis.

Chun-Jiang Li, Yue Dai, Yan-Jun Fu, Jia-Ming Tian, Jin-Lun Li, Hong-Jun Lu, Feng Duan, Qing-Wang Li

RetractedAbstract readMeta-AnalysisRetracted Publication
PubMed Publisher
In one paragraph

Synthesis in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Chun-Jiang LiCollege of Environment and Chemical Engineering, Yanshan University, Hebei Street No. 438, Qinhuangdao, 066004, People's Republic of China.
Yue Dai
Yan-Jun Fu
Jia-Ming Tian
Jin-Lun Li
Hong-Jun Lu
Feng Duan
Qing-Wang Li
Jiamusi University · CNFirst Affiliated Hospital of Jiamusi University · CNNorthwest A&F University · CNYanshan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The meta-analysis was conducted to evaluate the correlations between common genetic polymorphisms in the IFN-γ gene and susceptibility to breast cancer. The following electronic databases were searched without language restrictions: MEDLINE (1966 ~ 2013), the Cochrane Library Database (issue 12, 2013), EMBASE (1980 ~ 2013), CINAHL (1982 ~ 2013), Web of Science (1945 ~ 2013), and the Chinese Biomedical Database (CBM) (1982 ~ 2013). Meta-analysis was performed with the use of the STATA statistical software. Odds ratios (OR) with their 95 % confidence intervals (95 % CIs) were calculated. Nine clinical case-control studies met all the inclusion criteria and were included in this meta-analysis. A total of 1,182 breast cancer patients and 1,525 healthy controls were involved in this meta-analysis. Three functional polymorphisms were assessed, including rs2069705 C>T, rs2430561 T>A, and CA repeats 2/X. Our meta-analysis results indicated that IFN-γ genetic polymorphisms might be significantly associated with an increased risk of breast cancer (allele model: OR = 1.37, 95 % CI = 1.03 ~ 1.83, P = 0.031; dominant model: OR = 1.55, 95 % CI = 1.01 ~ 2.37, P = 0.046; homozygous model: OR = 2.23, 95 % CI = 1.30 ~ 3.82, P = 0.004; respectively), especially the rs2430561 T>A polymorphism. Subgroup analysis based on ethnicity suggested that genetic polymorphisms in the IFN-γ gene were closely correlated with increased breast cancer risk among Asians (allele model: OR = 1.21, 95 % CI = 1.02 ~ 1.58, P = 0.017; dominant model: OR = 3.44, 95 % CI = 2.07 ~ 5.71, P < 0.001; recessive model: OR = 1.58, 95 % CI = 1.06 ~ 2.37, P = 0.025; homozygous model: OR = 1.83, 95 % CI = 1.19 ~ 2.80, P = 0.006; respectively), but not among Caucasians (all P > 0.05). Our meta-analysis supported the hypothesis that IFN-γ genetic polymorphisms may contribute to an increased risk of breast cancer, especially the rs2430561 T>A polymorphism among Asians.

Indexed as

Genetic Predisposition to DiseaseAsian PeopleBreast NeoplasmsCase-Control StudiesFemaleGenetic Association StudiesHumansInterferon-gammaRisk FactorsWhite PeopleInterferon-gamma

Identifiers

PMID25051917
OpenAlexW2331280020

What OpenQuestion holds

Textmetadata
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.