Evidence map›Paper›PMID 25036186›Full record

ArticlePloS one2014

ERBB4 promoter polymorphism is associated with poor distant disease-free survival in high-risk early breast cancer.

Kari J Kurppa, Matjaz Rokavec, Maria Sundvall, Pirkko-Liisa Kellokumpu-Lehtinen, Heikki Joensuu, Hiltrud Brauch, Klaus Elenius

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Crucial microRNAs and genes of human primary breast cancer explored by microRNA-mRNA integrated analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Pooled it
  2. Article
  3. Article
  4. Genome-wide haplotype association study identifies BLM as a risk gene for prostate cancer in Chinese population.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Article
  5. Review
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 6 institutions in 2 countries.

Kari J KurppaDepartment of Medical Biochemistry and Genetics and Medicity Research Laboratories, University of Turku, Turku, Finland; Turku Doctoral Programme of Molecular Medicine, Turku, Finland.
Matjaz RokavecDr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany; University of Tübingen, Tübingen, Germany.
Maria SundvallDepartment of Medical Biochemistry and Genetics and Medicity Research Laboratories, University of Turku, Turku, Finland; Department of Oncology, Turku University Hospital, Turku, Finland.
Pirkko-Liisa Kellokumpu-LehtinenDepartment of Oncology, Tampere University Hospital, Tampere, Finland.
Heikki JoensuuDepartment of Oncology, Helsinki University Central Hospital, Helsinki, Finland.
Hiltrud BrauchDr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany; University of Tübingen, Tübingen, Germany.
Klaus EleniusDepartment of Medical Biochemistry and Genetics and Medicity Research Laboratories, University of Turku, Turku, Finland; Department of Oncology, Turku University Hospital, Turku, Finland.
Turku University Hospital · FIDr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology · DEHelsinki University Hospital · FITampere University · FIUniversity of Tübingen · DEUniversity of Turku · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A number of genetic variants have been linked to increased risk of breast cancer. Little is, however, known about the prognostic significance of hereditary factors. Here, we investigated the frequency and prognostic significance of two ERBB4 promoter region variants, -782G>T (rs62626348) and -815A>T (rs62626347), in a cohort of 1010 breast cancer patients. The frequency of nine previously described somatic ERBB4 kinase domain mutations was also analyzed. Clinical material used in the study consisted of samples from the phase III, adjuvant, FinHer breast cancer trial involving 1010 women. Tumor DNA samples were genotyped for ERBB4 variants and somatic mutations using matrix-assisted laser desorption ionization/time of flight mass spectrometry. Paraffin-embedded tumor sections from all patients were immunohistochemically stained for ErbB4 expression. Association of ERBB4 genotype to distant disease-free survival (DDFS) was assessed using Kaplan-Meier and Cox regression analyses. Genotyping was successful for 91-93% of the 1010 samples. Frequencies observed for the ERBB4 variants were 2.5% and 1.3% for -782G>T and -815A>T, respectively. Variant -815A>T was significantly associated with poor survival (HR  = 2.86 [95% CI 1.15-6.67], P = 0.017). In contrast, variant -782G>T was associated with well-differentiated cancer (P = 0.019). Two (0.2%) ERBB4 kinase domain mutations were found, both of which have previously been shown to be functional and promote cancer cell growth in vitro. These data present the germ-line ERBB4 variant -815A>T as a novel prognostic marker in high-risk early breast cancer and indicate the presence of rare but potentially oncogenic somatic ERBB4 mutations in breast cancer.

Indexed as

GenotypePolymorphism, Single NucleotideBreast NeoplasmsDisease-Free SurvivalFemaleGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseHumansMutationPromoter Regions, GeneticProtein Structure, TertiaryReceptor, ErbB-4ERBB4 protein, humanReceptor, ErbB-4

Identifiers

PMID25036186
PMCPMC4103820
OpenAlexW1981857164

What OpenQuestion holds

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LicenceCC BY
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.