Evidence map›Paper›PMID 24006220›Full record

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

The association of SIPA1 gene polymorphisms with breast cancer risk: evidence from published studies.

Sheng-Ming Yi, Gui-Yuan Li

Abstract readMeta-Analysis
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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Blood advances · 2018
    Article
  3. The SIPA1 -313A>G polymorphism is associated with prognosis in inoperable non-small cell lung cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    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

2 authors.

Sheng-Ming YiDepartment of Oncology, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, People's Republic of China.
Gui-Yuan Li

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies have focused on the association of signal-induced proliferation associated 1 gene (SIPA1) with carcinogenesis of many cancers, including breast cancer. It has been suggested that SIPA1 polymorphisms are associated with susceptibility to breast cancer. In the present study, we performed a meta-analysis to systematically summarize the possible association between SIPA1 and the risk for breast cancer. We conducted a search of case-control studies on the associations of SPIA1 with susceptibility to breast cancer in PubMed, Embase, International Statistical Institute Web of Science, Wanfang Database in China, and Chinese National Knowledge Infrastructure databases. Data from eligible studies were extracted for meta-analysis. Breast cancer risk associated with SIPA1 was estimated by pooled odds ratios and 95% confidence intervals. Four studies on SIPA1 and breast cancer were included in our meta-analysis. Our results showed that rs746429 was associated with the risk of breast cancer. However, rs931127 and rs3741378 were not found to be associated with breast cancer in our analysis. This meta-analysis suggests that rs746429 is associated with the risk of breast cancer. Well-designed studies with larger sample size and more ethnic groups are required to further validate the results.

Indexed as

Genetic Association StudiesPolymorphism, GeneticAllelesBreast NeoplasmsFemaleGenetic Predisposition to DiseaseGenotypeGTPase-Activating ProteinsHumansNuclear ProteinsOdds RatioPolymorphism, Single NucleotideRiskGTPase-Activating ProteinsNuclear ProteinsSIPA1 protein, human

Identifiers

What OpenQuestion holds

Textmetadata
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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.