Evidence map›Paper›PMID 24685237›Full record

ArticleCancer cell international2014

Identifying association model for single-nucleotide polymorphisms of ORAI1 gene for breast cancer.

Wei-Chiao Chang, Yong-Yuan Fang, Hsueh-Wei Chang, Li-Yeh Chuang, Yu-Da Lin, Ming-Feng Hou, Cheng-Hong Yang

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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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

7 authors at 6 institutions in 1 country.

Wei-Chiao Chang *Master Program for Clinical Pharmacogenomics and Pharmacoproteomics, School of Pharmacy, Taipei Medical University, Taipei, Taiwan.
Yong-Yuan Fang *Labor Safety and Health Office, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan.
Hsueh-Wei ChangCancer Center, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
Li-Yeh ChuangDepartment of Chemical Engineering & Institute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung, Taiwan.
Yu-Da LinDepartment of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan.
Ming-Feng HouCancer Center, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
Cheng-Hong YangDepartment of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan.
National Kaohsiung University of Applied Sciences · TWI-Shou University · TWKaohsiung Medical University · TWKaohsiung Medical University Chung-Ho Memorial Hospital · TWKaohsiung Municipal Ta-Tung Hospital · TWTaipei Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundORAI1 channels play an important role for breast cancer progression and metastasis. Previous studies indicated the strong correlation between breast cancer and individual single nucleotide polymorphisms (SNPs) of ORAI1 gene. However, the possible SNP-SNP interaction of ORAI1 gene was not investigated.

resultsTo develop the complex analyses of SNP-SNP interaction, we propose a genetic algorithm (GA) to detect the model of breast cancer association between five SNPs (rs12320939, rs12313273, rs7135617, rs6486795 and rs712853) of ORAI1 gene. For individual SNPs, the differences between case and control groups in five SNPs of ORAI1 gene were not significant. In contrast, GA-generated SNP models show that 2-SNP (rs12320939-GT/rs6486795-CT), 3-SNP (rs12320939-GT/rs12313273-TT/rs6486795-TC), 5-SNP (rs12320939-GG/rs12313273-TC/rs7135617-TT/rs6486795-TT/rs712853-TT) have higher risks for breast cancer in terms of odds ratio analysis (1.357, 1.689, and 13.148, respectively).

conclusionTaken together, the cumulative effects of SNPs of ORAI1 gene in breast cancer association study were well demonstrated in terms of GA-generated SNP models.

Identifiers

PMID24685237
PMCPMC3994227
OpenAlexW2143489661

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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.