Evidence map›Paper›PMID 25383624›Full record

SynthesisPloS one2014

Correlations of differentially expressed gap junction connexins Cx26, Cx30, Cx32, Cx43 and Cx46 with breast cancer progression and prognosis.

Ivett Teleki, Attila Marcell Szasz, Mate Elod Maros, Balazs Gyorffy, Janina Kulka, Nora Meggyeshazi, Gergo Kiszner, Peter Balla, Aliz Samu, Tibor Krenacs

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

63 citing papers in PubMed, 94 citations in OpenAlex.

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  20. Connexins and Glucose Metabolism in Cancer.International journal of molecular sciences · 2022
    Review

3 more citing papers are in PubMed but not listed here.

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

10 authors at 2 institutions in 1 country.

Ivett Teleki1st Department of Pathology & Experimental Cancer Research, Semmelweis University, Budapest, Hungary.
Attila Marcell Szasz2nd Department of Pathology, Semmelweis University, Budapest, Hungary.
Mate Elod Maros1st Department of Pathology & Experimental Cancer Research, Semmelweis University, Budapest, Hungary.
Balazs GyorffyMTA TTK Lendulet Cancer Biomarker Research Group, Budapest, Hungary; 2nd Department of Pediatrics, Semmelweis University, Budapest, Hungary; MTA-SE Pediatrics and Nephrology Research Group, Budapest, Hungary.
Janina Kulka2nd Department of Pathology, Semmelweis University, Budapest, Hungary.
Nora Meggyeshazi1st Department of Pathology & Experimental Cancer Research, Semmelweis University, Budapest, Hungary.
Gergo Kiszner1st Department of Pathology & Experimental Cancer Research, Semmelweis University, Budapest, Hungary.
Peter Balla1st Department of Pathology & Experimental Cancer Research, Semmelweis University, Budapest, Hungary.
Aliz Samu1st Department of Pathology & Experimental Cancer Research, Semmelweis University, Budapest, Hungary.
Tibor Krenacs1st Department of Pathology & Experimental Cancer Research, Semmelweis University, Budapest, Hungary; MTA-SE Tumor Progression Research Group, Budapest, Hungary.
Semmelweis University · HUHUN-REN Research Centre for Natural Sciences · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsConnexins and their cell membrane channels contribute to the control of cell proliferation and compartmental functions in breast glands and their deregulation is linked to breast carcinogenesis. Our aim was to correlate connexin expression with tumor progression and prognosis in primary breast cancers. MATERIALS AND

methodsMeta-analysis of connexin isotype expression data of 1809 and 1899 breast cancers from the Affymetrix and Illumina array platforms, respectively, was performed. Expressed connexins were also monitored at the protein level in tissue microarrays of 127 patients equally representing all tumor grades, using immunofluorescence and multilayer, multichannel digital microscopy. Prognostic correlations were plotted in Kaplan-Meier curves and tested using the log-rank test and cox-regression analysis in univariate and multivariate models.

resultsThe expression of GJA1/Cx43, GJA3/Cx46 and GJB2/Cx26 and, for the first time, GJA6/Cx30 and GJB1/Cx32 was revealed both in normal human mammary glands and breast carcinomas. Within their subfamilies these connexins can form homo- and heterocellular epithelial channels. In cancer, the array datasets cross-validated each other's prognostic results. In line with the significant correlations found at mRNA level, elevated Cx43 protein levels were linked with significantly improved breast cancer outcome, offering Cx43 protein detection as an independent prognostic marker stronger than vascular invasion or necrosis. As a contrary, elevated Cx30 mRNA and protein levels were associated with a reduced disease outcome offering Cx30 protein detection as an independent prognostic marker outperforming mitotic index and necrosis. Elevated versus low Cx43 protein levels allowed the stratification of grade 2 tumors into good and poor relapse free survival subgroups, respectively. Also, elevated versus low Cx30 levels stratified grade 3 patients into poor and good overall survival subgroups, respectively.

conclusionDifferential expression of Cx43 and Cx30 may serve as potential positive and negative prognostic markers, respectively, for a clinically relevant stratification of breast cancers.

Indexed as

Gene Expression Regulation, NeoplasticAgedBreast NeoplasmsComputer SimulationConnexin 26Connexin 30Connexin 43ConnexinsDisease ProgressionFemaleGap Junction beta-1 ProteinHumansMicroarray AnalysisMiddle AgedPrognosisProportional Hazards ModelsConnexin 26Connexin 30Connexin 43ConnexinsGap Junction beta-1 ProteinGJA1 protein, humanGJA3 protein, humanGJB2 protein, humanGJB6 protein, human

Identifiers

PMID25383624
PMCPMC4226536
OpenAlexW2060347472

What OpenQuestion holds

Textmetadata
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.