Evidence map›Paper›PMID 17280610›Full record

ArticleMolecular cancer2007

Factor interaction analysis for chromosome 8 and DNA methylation alterations highlights innate immune response suppression and cytoskeletal changes in prostate cancer.

Wolfgang A Schulz, Adrian Alexa, Volker Jung, Christiane Hader, Michèle J Hoffmann, Masanori Yamanaka, Sandy Fritzsche, Agnes Wlazlinski, Mirko Müller, Thomas Lengauer and 4 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Molecular cancer, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Tumor Suppressor 4.1N/Frontiers in genetics · 2022
    Article
  7. Roles of Toll-Like Receptor 3 in Human Tumors.Frontiers in immunology · 2021
    Review
  8. Article
  9. Promoter-associated DNA methylation & expression profiling of genes (The Indian journal of medical research · 2019
    Article
  10. Identification of a Two-Gene (Frontiers in oncology · 2019
    Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Tumor suppressor role of protein 4.1B/DAL-1.Cellular and molecular life sciences : CMLS · 2014
    Review
  17. Article
  18. Review
  19. Review
  20. 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

14 authors at 3 institutions in 1 country.

Wolfgang A SchulzDepartment of Urology, Heinrich Heine University, Düsseldorf, Germany. wolfgang.schulz@uni-duesseldorf.de
Adrian Alexa
Volker Jung
Christiane Hader
Michèle J Hoffmann
Masanori Yamanaka
Sandy Fritzsche
Agnes Wlazlinski
Mirko Müller
Thomas Lengauer
Rainer Engers
Andrea R Florl
Bernd Wullich
Jörg Rahnenführer
Heinrich Heine University Düsseldorf · DEMax Planck Institute for Informatics · DESaarland University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlterations of chromosome 8 and hypomethylation of LINE-1 retrotransposons are common alterations in advanced prostate carcinoma. In a former study including many metastatic cases, they strongly correlated with each other. To elucidate a possible interaction between the two alterations, we investigated their relationship in less advanced prostate cancers.

resultsIn 50 primary tumor tissues, no correlation was observed between chromosome 8 alterations determined by comparative genomic hybridization and LINE-1 hypomethylation measured by Southern blot hybridization. The discrepancy towards the former study, which had been dominated by advanced stage cases, suggests that both alterations converge and interact during prostate cancer progression. Therefore, interaction analysis was performed on microarray-based expression profiles of cancers harboring both alterations, only one, or none. Application of a novel bioinformatic method identified Gene Ontology (GO) groups related to innate immunity, cytoskeletal organization and cell adhesion as common targets of both alterations. Many genes targeted by their interaction were involved in type I and II interferon signaling and several were functionally related to hereditary prostate cancer genes. In addition, the interaction appeared to influence a switch in the expression pattern of EPB41L genes encoding 4.1 cytoskeleton proteins. Real-time RT-PCR revealed GADD45A, MX1, EPB41L3/DAL1, and FBLN1 as generally downregulated in prostate cancer, whereas HOXB13 and EPB41L4B were upregulated. TLR3 was downregulated in a subset of the cases and associated with recurrence. Downregulation of EPB41L3, but not of GADD45A, was associated with promoter hypermethylation, which was detected in 79% of carcinoma samples.

conclusionAlterations of chromosome 8 and DNA hypomethylation in prostate cancer probably do not cause each other, but converge during progression. The present analysis implicates their interaction in innate immune response suppression and cytoskeletal changes during prostate cancer progression. The study thus highlights novel mechanisms in prostate cancer progression and identifies novel candidate genes for diagnostic and therapeutic purposes. In particular, TLR3 expression might be useful for prostate cancer prognosis and EPB41L3 hypermethylation for its detection.

Indexed as

DNA MethylationGene Expression Regulation, NeoplasticBlotting, SouthernCell Line, TumorChromosomes, Human, Pair 8Computational BiologyCytoskeletal ProteinsCytoskeletonDisease ProgressionExtracellular Matrix ProteinsFactor Analysis, StatisticalGene Expression ProfilingHumansImmunity, InnateLong Interspersed Nucleotide ElementsMaleCytoskeletal ProteinsExtracellular Matrix Proteins

Identifiers

PMID17280610
PMCPMC1797054
OpenAlexW2156938594

What OpenQuestion holds

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LicenceCC BY
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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.