Evidence map›Paper›PMID 25479941›Full record

ArticleMedical oncology (Northwood, London, England)2015

Genetic association of single nucleotide polymorphisms in P53 pathway with gastric cancer risk in a Chinese Han population.

Guo-Cong Wu, Zhong-Tao Zhang

Abstract read
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In one paragraph

Article in Medical oncology (Northwood, London, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
1.2field-weighted citation impact, top 21% 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, 3 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  9. Association between the SNPs of theJournal of Cancer · 2018
    Article
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  12. TheAging · 2017
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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

2 authors at 2 institutions in 1 country.

Guo-Cong WuDepartment of General Surgery, Beijing Friendship Hospital Affiliated with Capital Medical University, Beijing, 100050, China, dr.wuguocong@qq.com.
Zhong-Tao Zhang
Beijing Friendship Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor suppressor gene P53 plays an important role in carcinogenesis, and the P53 pathway is central both in reducing cancer frequency and in mediating the response of cancer therapies. MDM2, MDM4 and Hausp genes are all critical regulators of the tumor suppressor P53. Many studies have evaluated the association of single nucleotide polymorphisms (SNPs) in P53 pathway with the risk of common cancers. However, the results are still inconclusive. In this work, we analyzed the association of SNPs in P53 (rs1042522), MDM2 (rs2279744), MDM4 (rs1380576) and Hausp (rs1529916) genes with gastric cancer in a hospital-based Chinese Han population (642 cases and 720 cancer-free controls). We found that the polymorphisms of P53 (rs1042522) and MDM2 (rs2279744) are associated with gastric cancer risk, whereas no significant association was observed between variant genotype of other two polymorphisms (MDM4 rs1380576 and Hausp rs1529916) and gastric cancer risk.

Indexed as

Polymorphism, Single NucleotideAgedAsian PeopleCell Cycle ProteinsFemaleGenetic Predisposition to DiseaseGenotypeHumansMaleMiddle AgedNuclear ProteinsOdds RatioPolymerase Chain ReactionProto-Oncogene ProteinsProto-Oncogene Proteins c-mdm2Stomach NeoplasmsCell Cycle ProteinsMDM2 protein, humanMDM4 protein, humanNuclear ProteinsProto-Oncogene ProteinsProto-Oncogene Proteins c-mdm2TP53 protein, humanTumor Suppressor Protein p53Ubiquitin-Specific Peptidase 7Ubiquitin ThiolesteraseUSP7 protein, human

Identifiers

PMID25479941
OpenAlexW2019231041

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.