Evidence map›Paper›PMID 22215146›Full record

ArticleJournal of cancer research and clinical oncology2012

Polymorphisms of peroxiredoxin 1, 2 and 6 are not associated with esophageal cancer.

Bo Zhang, Kai Wang, Gang He, Xinying Guan, Botao Liu, Yangbo Liu, Yun Bai

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 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
0.1field-weighted citation impact, top 47% 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, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. The role of peroxiredoxins in cancer.Molecular and clinical oncology · 2017
    Article
  6. Article
  7. 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

7 authors at 1 institution in 1 country.

Bo ZhangDepartment of Medical Genetics, Third Military Medical University, Chongqing, China.
Kai Wang
Gang He
Xinying Guan
Botao Liu
Yangbo Liu
Yun Bai
Army Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePeroxiredoxins, which reduced intracellular peroxides as a noval kind of antioxidant protein, were extensively expressed in various types of cancers and were thought as a biomarker of cancer cells. In this work, we performed genotyping analyses for tag SNP of Prdx 1, 2 and 6, and then evaluated the association with susceptibility and clinic stage of esophageal squamous cell carcinoma (ESCC) in a case-control study.

methodsThe protein level of these Prdx isoforms in ESCC cancer samples was evaluated by Western blot. Then 356 ESCC cancer cases and 315 controls were genotyped by SNPshot assay. Differences in frequencies of the genotypes of the SNPs variant between the cases and controls were evaluated by using the chi-square test.

resultsOur result of Western blot confirmed the aberrant expression of Prdx 1, 2 and 6 in ESCC samples, which was coincident with other studies. After genotyping by SNPshot assay, the result showed that the allele and genotype frequencies did not differ between the patients and controls. And no association between the polymorphism and the progression of ESCC including tumor grade and stage was found.

conclusionsOur data suggested that polymorphisms of Prdx 1, 2 and 6 were not associated with esophageal cancer.

Indexed as

Polymorphism, Single NucleotideAgedAllelesCarcinoma, Squamous CellCase-Control StudiesChi-Square DistributionEsophageal NeoplasmsFemaleGene FrequencyGenotypeHumansLinkage DisequilibriumLogistic ModelsMaleMiddle AgedNeoplasm StagingPeroxiredoxinsPeroxiredoxin VI

Identifiers

PMID22215146
PMCPMC11824428
OpenAlexW2089271388

What OpenQuestion 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 OpenQuestion graph.