Evidence map›Paper›PMID 24759887›Full record

ArticlePloS one2014

A MAP3k1 SNP predicts survival of gastric cancer in a Chinese population.

Xiaowei Wei, Enke Zhang, Chun Wang, Dongying Gu, Lili Shen, Meilin Wang, Zhi Xu, Weida Gong, Cuiju Tang, Jinglong Gao and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 35% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
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  3. 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

12 authors at 2 institutions in 1 country.

Xiaowei WeiDepartment of Oncology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, China.
Enke ZhangCentral Laboratory, Shanxi People's Hospital, Xi'an, Shanxi Province, China.
Chun WangDepartment of Oncology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, China.
Dongying GuDepartment of Oncology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, China.
Lili ShenDepartment of Oncology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, China.
Meilin WangDepartment of Environmental Genomics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Cancer Center, Nanjing Medical University, Nanjing, Jiangsu Province, China; Department of Genetic Toxicology, the Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu Province, China.
Zhi XuDepartment of Oncology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, China.
Weida GongDepartment of General Surgery, Yixing Tumor Hospital, Yixing, Jiangsu Province, China.
Cuiju TangDepartment of Oncology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, China.
Jinglong GaoCentral Laboratory, Shanxi People's Hospital, Xi'an, Shanxi Province, China.
Jinfei ChenDepartment of Oncology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, China.
Zhengdong ZhangDepartment of Environmental Genomics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Cancer Center, Nanjing Medical University, Nanjing, Jiangsu Province, China; Department of Genetic Toxicology, the Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu Province, China.
Nanjing Medical University · CNYixing Tumor Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesGenome-wide association studies (GWAS) have demonstrated that the single nucleotide polymorphism (SNP) MAP3K1 rs889312 is a genetic susceptibility marker significantly associated with a risk of hormone-related tumors such as breast cancer. Considering steroid hormone-mediated signaling pathways have an important role in the progression of gastric cancer, we hypothesized that MAP3K1 rs889312 may be associated with survival outcomes in gastric cancer. The purpose of this study was to test this hypothesis.

methodsWe genotyped MAP3K1 rs889312 using TaqMan in 884 gastric cancer patients who received subtotal or total gastrectomy. Kaplan-Meier survival analysis and Cox proportional hazard regression were used to analyze the association between MAP3K1 rs889312 genotypes and survival outcomes of gastric cancer.

resultsOur findings reveal that the rs889312 heterozygous AC genotype was significantly associated with an increased rate of mortality among patients with diffuse-type gastric cancer (log-rank P = 0.028 for AC versus AA/CC, hazard ratio [HR] = 1.32, 95% confidence interval [CI] = 1.03-1.69), compared to those carrying the homozygous variant genotypes (AA/CC). Additionally, univariate and multivariate Cox regression analysis demonstrate that rs889312 polymorphism was an independent risk factor for poor survival in these patients.

conclusionsIn conclusion, we demonstrate that MAP3K1 rs889312 is closely correlated with outcome among diffuse-type gastric cancer. This raises the possibility for rs889312 polymorphisms to be used as an independent indicator for predicting the prognosis of diffuse-type gastric cancer within the Chinese population.

Indexed as

AdultAgedAged, 80 and overAsian PeopleChinaFemaleGastrectomyGenome-Wide Association StudyHumansMaleMAP Kinase Kinase Kinase 1Middle AgedPolymorphism, Single NucleotidePrognosisRisk FactorsStomach NeoplasmsMAP3K1 protein, humanMAP Kinase Kinase Kinase 1

Identifiers

PMID24759887
PMCPMC3997500
OpenAlexW2049911452

What OpenQuestion holds

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LicenceCC BY
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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.