Evidence map›Paper›PMID 25354935›Full record

ArticleJournal of human genetics2014

An A/C germline single-nucleotide polymorphism in the TNFAIP3 gene is associated with advanced disease stage and survival in only surgically treated esophageal cancer.

Tarik Ghadban, Magdalena Schmidt-Yang, Magdalena Smif, Faik G Uzunoglu, Daniel R Perez, Tung Y Tsui, Alexander T El Gammal, Peter J Erbes, Veacheslav Zilbermints, Ulrich Wellner and 3 more

Erratum issuedOpen access · bronzeAbstract read
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In one paragraph

Article in Journal of human genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 1 country.

Tarik GhadbanDepartment of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000000218949893
Magdalena Schmidt-Yang
Magdalena SmifDepartment of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Faik G UzunogluDepartment of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Daniel R PerezDepartment of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Tung Y TsuiDepartment of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Alexander T El GammalDepartment of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Peter J ErbesDepartment of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Veacheslav ZilbermintsDepartment of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Ulrich WellnerClinic for Surgery, University Clinic of Schleswig-Holstein, Campus Luebeck, Luebeck, Germany.
Klaus PantelDepartment of Tumor Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Jakob R IzbickiDepartment of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Yogesh K VashistDepartment of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Universität Hamburg · DEUniversity Hospital Schleswig-Holstein · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prognostication of disease relapse and survival is essential for cancer patients and genetic variations in cancer patients may serve as important indicators. A single-nucleotide polymorphism (SNP) mapping to the tumor necrosis factor, alpha-induced protein 3 (TNFAIP3) gene at position 138241110 displays three genotypes (AA, AC and CC). The aim of this study was to evaluate the potential prognostic value of the TNFAIP3-SNP in esophageal cancer (EC). Genomic DNA was extracted from peripheral blood leukocytes of 173 patients who underwent complete surgical resection for EC and did not receive any neoadjuvant or adjuvant therapy. For SNP detection, a 260- bp fragment was PCR amplified, purified and sequenced with tested primers. The product was analyzed by automatic DNA sequencer.The TNFAIP3 genotypes were correlated with clinico-pathological parameters, tumor cell dissemination in bone marrow and clinical outcome. The C-allele carrier presented with higher disease stage (P<0.001). This was predominantly because of the presence of lymph node metastasis (P<0.001). The recurrence rate was higher in C-allele carriers (AC and CC genotype; P=0.004). Kaplan-Meier plots for disease-free (P=0.017) and overall survival (P<0.001) displayed a gene dosage-associated outcome with AA genotype patients presenting the longest and CC genotype patients the poorest survival. In disease stage-adjusted multivariate analysis the TNFAIP3-SNP was identified as an independent prognostic factor for survival (hazard ratio 1.9; P=0.008). The TNFAIP3-SNP allows risk stratification of EC patients and may be a useful tool to identify patients eligible for multimodal therapy concepts.

Indexed as

PrognosisAdultAgedAged, 80 and overAllelesDisease-Free SurvivalDNA-Binding ProteinsEsophageal NeoplasmsGenetic Association StudiesGerm-Line MutationHumansIntracellular Signaling Peptides and ProteinsKaplan-Meier EstimateMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingDNA-Binding ProteinsIntracellular Signaling Peptides and ProteinsNuclear ProteinsTNFAIP3 protein, humanTumor Necrosis Factor alpha-Induced Protein 3

Identifiers

PMID25354935
OpenAlexW1970026174

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.