Evidence map›Paper›PMID 23526956›Full record

ArticlePloS one2013

Integrative genome-wide gene expression profiling of clear cell renal cell carcinoma in Czech Republic and in the United States.

Magdalena B Wozniak, Florence Le Calvez-Kelm, Behnoush Abedi-Ardekani, Graham Byrnes, Geoffroy Durand, Christine Carreira, Jocelyne Michelon, Vladimir Janout, Ivana Holcatova, Lenka Foretova and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 5 pooled it
4.7field-weighted citation impact, top 5% 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

96 citing papers in PubMed, 5 syntheses or guidelines pooled it, 171 citations in OpenAlex.

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  5. FUT11 as a potential biomarker of clear cell renal cell carcinoma progression based on meta-analysis of gene expression data.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
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36 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

15 authors at 5 institutions in 2 countries.

Magdalena B WozniakInternational Agency for Research on Cancer IARC, Lyon, France.
Florence Le Calvez-Kelm
Behnoush Abedi-Ardekani
Graham Byrnes
Geoffroy Durand
Christine Carreira
Jocelyne Michelon
Vladimir Janout
Ivana Holcatova
Lenka Foretova
Antonin Brisuda
Fabienne Lesueur
James McKay
Paul Brennan
Ghislaine Scelo
Centre International de Recherche sur le Cancer · FRCharles University · CZMasaryk Memorial Cancer Institute · CZPalacký University Olomouc · CZUniversity Hospital in Motol · CZ

Funding

Pooled genome-wide analysis of kidney cancer riskU01CA155309 · NCI · INTERNATIONAL AGENCY FOR RES ON CANCER · PI SCELO, GHISLAINE · 2011 to 2014
$3.7M
NCI NIH HHS CA155309NCI NIH HHS U01 CA155309
6 · The paper itself

Abstract

Gene expression microarray and next generation sequencing efforts on conventional, clear cell renal cell carcinoma (ccRCC) have been mostly performed in North American and Western European populations, while the highest incidence rates are found in Central/Eastern Europe. We conducted whole-genome expression profiling on 101 pairs of ccRCC tumours and adjacent non-tumour renal tissue from Czech patients recruited within the "K2 Study", using the Illumina HumanHT-12 v4 Expression BeadChips to explore the molecular variations underlying the biological and clinical heterogeneity of this cancer. Differential expression analysis identified 1650 significant probes (fold change ≥2 and false discovery rate <0.05) mapping to 630 up- and 720 down-regulated unique genes. We performed similar statistical analysis on the RNA sequencing data of 65 ccRCC cases from the Cancer Genome Atlas (TCGA) project and identified 60% (402) of the downregulated and 74% (469) of the upregulated genes found in the K2 series. The biological characterization of the significantly deregulated genes demonstrated involvement of downregulated genes in metabolic and catabolic processes, excretion, oxidation reduction, ion transport and response to chemical stimulus, while simultaneously upregulated genes were associated with immune and inflammatory responses, response to hypoxia, stress, wounding, vasculature development and cell activation. Furthermore, genome-wide DNA methylation analysis of 317 TCGA ccRCC/adjacent non-tumour renal tissue pairs indicated that deregulation of approximately 7% of genes could be explained by epigenetic changes. Finally, survival analysis conducted on 89 K2 and 464 TCGA cases identified 8 genes associated with differential prognostic outcomes. In conclusion, a large proportion of ccRCC molecular characteristics were common to the two populations and several may have clinical implications when validated further through large clinical cohorts.

Indexed as

AdultAgedAged, 80 and overCarcinoma, Renal CellCzech RepublicDNA MethylationFemaleGene Expression ProfilingHumansKidney NeoplasmsMaleMiddle AgedOligonucleotide Array Sequence AnalysisPrognosisSurvival AnalysisUnited States

Identifiers

PMID23526956
PMCPMC3589490
OpenAlexW2021485215

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.