Evidence map›Paper›PMID 28294120›Full record

ArticleScientific reports2017

Down regulation of ADAM33 as a Predictive Biomarker of Aggressive Breast Cancer.

Graciele C M Manica, Caroline F Ribeiro, Marco A S de Oliveira, Isabela T Pereira, Andressa Chequin, Edneia A S Ramos, Liliane M B Klassen, Ana Paula M Sebastião, Larissa M Alvarenga, Silvio M Zanata and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 33 citations in OpenAlex.

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  8. Identification of Time-Invariant Biomarkers for Non-Genotoxic Hepatocarcinogen Assessment.International journal of environmental research and public health · 2020
    Article
  9. Review
  10. Long Non-Coding RNA (LncRNA) HOXA11-AS Promotes Breast Cancer Invasion and Metastasis by Regulating Epithelial-Mesenchymal Transition.Medical science monitor : international medical journal of experimental and clinical research · 2017
    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

15 authors at 4 institutions in 1 country.

Graciele C M ManicaDepartment of Basic Pathology, Federal University of Parana, Curitiba, Paraná, Brazil.
Caroline F RibeiroDepartment of Basic Pathology, Federal University of Parana, Curitiba, Paraná, Brazil.
Marco A S de OliveiraDepartment of Biochemistry, State University of Maringa, Maringa, Brazil.
Isabela T PereiraDepartment of Basic Pathology, Federal University of Parana, Curitiba, Paraná, Brazil.
Andressa ChequinDepartment of Basic Pathology, Federal University of Parana, Curitiba, Paraná, Brazil.
Edneia A S RamosDepartment of Basic Pathology, Federal University of Parana, Curitiba, Paraná, Brazil.
Liliane M B KlassenDepartment of Basic Pathology, Federal University of Parana, Curitiba, Paraná, Brazil.
Ana Paula M SebastiãoDepartment of Medical Pathology, Federal University of Parana, Curitiba, Parana, Brazil.
Larissa M AlvarengaDepartment of Basic Pathology, Federal University of Parana, Curitiba, Paraná, Brazil.
Silvio M ZanataDepartment of Basic Pathology, Federal University of Parana, Curitiba, Paraná, Brazil.
Lucia De NoronhaSchool of Medicine, Pontifical Catholic University of Parana, Curitiba, Paraná, Brazil.
Iris RabinovichDepartment of Tocogynecology, Federal University of Parana, Curitiba, Parana, Brazil.
Fabricio F CostaGenomic Sciences and Biotechnology Program, University Catholic of Brasilia, DF, Brazil.
Emanuel M SouzaDepartment of Biochemistry and Molecular Biology, Federal University of Parana, Curitiba, Parana, Brazil.
Giseli KlassenDepartment of Basic Pathology, Federal University of Parana, Curitiba, Paraná, Brazil.
Universidade Federal do Paraná · BRPontifícia Universidade Católica do Paraná · BRUniversidade Católica de Brasília · BRUniversidade Estadual de Maringá · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a heterogeneous disease with differences in its clinical, molecular and biological features. Traditionally, immunohistochemical markers together with clinicopathologic parameters are used to classify breast cancer and to predict disease outcome. Triple-negative breast cancer (TNBC) is a particular type of breast cancer that is defined by a lack of expression of hormonal receptors and the HER2 gene. Most cases of TNBC also have a basal-like phenotype (BLBC) with expression of cytokeratin 5/6 and/or EGFR. A basal marker alone is insufficient for a better understanding of the tumor biology of TNBC. In that regard, the ADAM33 gene is silenced by DNA hypermethylation in breast cancer, which suggests that ADAM33 might be useful as a molecular marker. In the present study, we have produced monoclonal antibodies against the ADAM33 protein and have investigated the role of ADAM33 protein in breast cancer. We used 212 breast tumor samples and lower levels of ADAM33 were correlated with TNBC and basal-like markers. A lower level of ADAM33 was also correlated with shorter overall survival and metastasis-free survival and was considered an independent prognostic factor suggesting that ADAM33 is a novel molecular biomarker of TNBC and BLBC that might be useful as a prognostic factor.

Indexed as

PrognosisADAM ProteinsAdultAgedBiomarkers, TumorDisease-Free SurvivalDNA MethylationErb-b2 Receptor Tyrosine KinasesFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMCF-7 CellsMiddle AgedReceptors, EstrogenTriple Negative Breast NeoplasmsADAM33 protein, humanADAM ProteinsBiomarkers, TumorErb-b2 Receptor Tyrosine KinasesReceptors, Estrogen

Identifiers

PMID28294120
PMCPMC5353751
OpenAlexW2660902673

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.