Evidence map›Paper›PMID 24935623›Full record

ArticleMedical oncology (Northwood, London, England)2014

Association between OGG1 gene single nucleotide polymorphisms and risk of pancreatic cancer in Chinese.

Chengli Liu, Hui Huang, Cheng Wang, Yalin Kong, Hui Zhang, Hongyi Zhang

Abstract read
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In one paragraph

Article in Medical oncology (Northwood, London, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 2 institutions in 1 country.

Chengli LiuDepartment of Hepatobiliary Surgery, The Air Force General Hospital of People's Liberation Army, No. 30 Fucheng Road, Haidian District, Beijing, 100142, People's Republic of China, chengli_liu@sina.com.
Hui Huang
Cheng Wang
Yalin Kong
Hui Zhang
Hongyi Zhang
Air Force General Hospital PLA · CNThe 309th Hospital of Chinese People's Liberation Army · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies have suggested that the 8-oxoguanine DNA glycosylase gene (OGG1) has potentially influenced the risk of pancreatic cancer. The objective of this study was to assess the association between single nucleotide polymorphisms (SNPs) of OGG1 gene and risk of pancreatic cancer. A case-control study has been conducted in 370 pancreatic cancer patients and 395 healthy controls. Genotypes were determined using the polymerase chain reaction-restriction fragment length polymorphism and DNA sequencing methods. The association analysis was evaluated by the unconditional logistic regression test. Our data suggested that the distributions of alleles and genotypes were statistically different between pancreatic cancer patients and healthy controls. The c.307G>C SNP was associated with the decreased risk of pancreatic cancer (C vs. G: OR 0.73, 95 % CI 0.59-0.91, P = 0.006). As for c.828A>G SNP, the significantly decreased risk of pancreatic cancer was detected (G vs. A: OR 0.74, 95 % CI 0.59-0.92, P = 0.006). The allele C of c.307G>C and allele G of c.828A>G SNPs might be associated with a protection from pancreatic cancer. Findings from this study indicate that OGG1 SNPs are associated with pancreatic cancer risk in Chinese Han population and could be useful molecular biomarkers for assessing the risk of pancreatic cancer.

Indexed as

Polymorphism, Single NucleotideAdultAgedAsian PeopleCase-Control StudiesDNA GlycosylasesFemaleGene FrequencyGenetic Predisposition to DiseaseHumansMaleMiddle AgedPancreatic NeoplasmsDNA Glycosylasesoxoguanine glycosylase 1, human

Identifiers

PMID24935623
OpenAlexW2016620508

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.