Evidence map›Paper›PMID 22221038›Full record

ArticleMolecular diagnosis & therapy2012

PARP1 polymorphisms increase the risk of gastric cancer in a Chinese population.

Wenting He, Tao Liu, Yong Shan, Kexiang Zhu, Yumin Li

Abstract read
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In one paragraph

Article in Molecular diagnosis & therapy, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Wenting HeFirst Hospital of Lanzhou University, Lanzhou, Gansu Province, China.
Tao Liu
Yong Shan
Kexiang Zhu
Yumin Li
Lanzhou University · CNFirst Hospital of Lanzhou University · CNLanzhou University Second Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivePoly(adenosine diphosphate [ADP]-ribose) polymerase 1 (PARP1), a protein involved in the DNA repair mechanism, plays an important role in carcinogenesis. In this study, we investigated whether single nucleotide polymorphisms of PARP1 contribute to gastric cancer (GC) and its precursor lesions (gastric precancerous lesions; GPL) in a case-control study conducted in the Hexi area of China, a high-risk area for GC.

methodsPARP1 162C>G (Phe54Leu) and 2819A>G (Lys940Arg) polymorphisms were genotyped by real-time PCR using a TaqMan assay in 140 GC cases, 110 GPL cases, and 120 controls. Data were statistically analyzed using the chi-squared test and a logistic regression model.

resultsThe presence of the PARP1 2819G allele was associated with an increased risk of GC (odds ratio [OR] 2.354; 95% CI 1.140, 4.861; p = 0.018), especially for cardia GC and diffuse-type GC (ORs 2.988 and 3.784, respectively). We also observed an interaction between Helicobacter pylori infection, GC family history, and the presence of the PARP1 2819G allele. In contrast, the PARP1 162C>G polymorphism was not significantly associated with GPL or GC.

conclusionThe study suggests that the PARP1 2819G allele is associated with an increased risk of GC. In addition, H. pylori-positive status and family history jointly contribute to a higher risk of GC.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAdultAgedAllelesAsian PeopleFemaleHelicobacter InfectionsHelicobacter pyloriHumansMaleMiddle AgedPoly (ADP-Ribose) Polymerase-1Poly(ADP-ribose) PolymerasesRisk FactorsStomach NeoplasmsPARP1 protein, humanPoly (ADP-Ribose) Polymerase-1Poly(ADP-ribose) Polymerases

Identifiers

PMID22221038
OpenAlexW1999857019

What OpenQuestion holds

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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 OpenQuestion graph.