Evidence map›Paper›PMID 26590607›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016

The relationship between five non-synonymous polymorphisms within three XRCC genes and gastric cancer risk in a Han Chinese population.

Huansong Gong, He Li, Jing Zou, Jia Mi, Fang Liu, Dan Wang, Dong Yan, Bin Wang, Shuping Zhang, Geng Tian

Abstract read
PubMed Publisher
In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 34% 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, 9 citations in OpenAlex.

  1. mAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. DNA Repair Genes Polymorphisms: Impact on Acute Myeloid Leukemia Patients Outcome.Asian Pacific journal of cancer prevention : APJCP · 2022
    Article
  4. Article
  5. Article
  6. 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

10 authors at 2 institutions in 1 country.

Huansong GongGastric and Intestine Department, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, Shandong, China.
He LiGastric and Intestine Department, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, Shandong, China.
Jing ZouDepartment of Radiology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, Shandong, China.
Jia MiMedicine and Pharmacy Research Center, Binzhou Medical University, No. 346, Guanhai Road, Laishan District, Yantai, 264003, Shandong, China. mimi_mj@yeah.net.
Fang LiuMedicine and Pharmacy Research Center, Binzhou Medical University, No. 346, Guanhai Road, Laishan District, Yantai, 264003, Shandong, China.
Dan WangMedicine and Pharmacy Research Center, Binzhou Medical University, No. 346, Guanhai Road, Laishan District, Yantai, 264003, Shandong, China.
Dong YanMedicine and Pharmacy Research Center, Binzhou Medical University, No. 346, Guanhai Road, Laishan District, Yantai, 264003, Shandong, China.
Bin WangInstitute of Molecular Imaging, Binzhou Medical University, Yantai, Shandong, China.
Shuping ZhangInstitute of Pharmacology, Binzhou Medical University, No. 346, Guanhai Road, Laishan District, Yantai, 264003, Shandong, China. spchang11725@126.com.
Geng TianMedicine and Pharmacy Research Center, Binzhou Medical University, No. 346, Guanhai Road, Laishan District, Yantai, 264003, Shandong, China. tiangengshandong@yeah.net.
Binzhou University · CNBinzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to assess the association of five non-synonymous polymorphisms within three X-ray repair cross-complementing group (XRCC) genes with gastric cancer risk in Han Chinese. Genotyping was determined in 693 gastric cancer patients and 681 healthy controls. Statistical analyses were completed with SPSS (version 20.0) and Haplo.stats (version 1.6.11). The genotypes of XRCC1 gene rs25487 polymorphism (P = 0.003) differed significantly between patients and controls, even after the Bonferroni correction (P < 0.05/5), and this polymorphism was significantly associated with gastric cancer after adjusting for age, sex, body mass index, smoking, drinking, especially under a dominant model (odds ratio or OR; 95 % confidence interval or CI; P 1.59; 1.20-2.00; 0.001). In multiple-marker analysis, the most common allele combination was C-G-G-G-C (alleles in order of rs1799782, rs25489, rs25487, rs3218536, rs861539), which was overrepresented in controls relative to patients (adjusted simulated P = 0.0001). Contrastingly, the frequency of allele combination C-G-A-G-C was significantly higher in patients than in controls (adjusted simulated P = 0.0009), and this combination was associated with a strikingly increased risk of gastric cancer (OR; 95 % CI; P 2.39; 1.32-4.31; 0.0040) after the Bonferroni correction (P < 0.05/11) and adjusting for confounders. Our findings demonstrated that XRCC1 gene rs25487 polymorphism might play a leading role in pronounced susceptibility to gastric cancer in Han Chinese.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAgedAllelesAsian PeopleCase-Control StudiesChinaDNA-Binding ProteinsFemaleGene FrequencyGenotypeHumansMaleMiddle AgedQuantitative Trait LociRiskDNA-Binding ProteinsX-ray Repair Cross Complementing Protein 1X-ray repair cross complementing protein 3XRCC1 protein, humanXRCC2 protein, humanCase-control association studyDNA repair systemGastric cancerPolymorphismX-ray repair cross-complementing group

Identifiers

PMID26590607
OpenAlexW2180056438

What Socratic 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 Socratic graph.