Evidence map›Paper›PMID 18263644›Full record

ArticleBioinformatics (Oxford, England)2008

Integrative analysis reveals the direct and indirect interactions between DNA copy number aberrations and gene expression changes.

Hyunju Lee, Sek Won Kong, Peter J Park

Open access · bronzeAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. CiberAMP: AnBiology · 2022
    Article
  5. Non-coding ribonucleic acid-mediatedFrontiers in genetics · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Integrative genomics with mediation analysis in a survival context.Computational and mathematical methods in medicine · 2013
    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

3 authors at 1 institution in 1 country.

Hyunju LeeHarvard-Partners Center for Genetics and Genomics, Informatics Program, Children's Hospital, Department of Cardiology, Children's Hospital, Boston, MA, USA.
Sek Won Kong
Peter J Park
Gwangju Institute of Science and Technology · KR

Funding

Informatics for Integrating Biology/ the Bedside (RMI)U54LM008748 · NLM · BRIGHAM AND WOMEN'S HOSPITAL · PI KOHANE, ISAAC S. · 2004 to 2013
$39.0M
Integrative Analysis of Multiple Genomic Data SetsR01GM082798 · NIGMS · HARVARD MEDICAL SCHOOL · PI PARK, PETER J · 2007 to 2011
$1.5M
NIGMS NIH HHS R01 GM082798NLM NIH HHS U54 LM008748
6 · The paper itself

Abstract

motivationDNA copy number aberrations (CNAs) and gene expression (GE) changes provide valuable information for studying chromosomal instability and its consequences in cancer. While it is clear that the structural aberrations and the transcript levels are intertwined, their relationship is more complex and subtle than initially suspected. Most studies so far have focused on how a CNA affects the expression levels of those genes contained within that CNA.

resultsTo better understand the impact of CNAs on expression, we investigated the correlation of each CNA to all other genes in the genome. The correlations are computed over multiple patients that have both expression and copy number measurements in brain, bladder and breast cancer data sets. We find that a CNA has a direct impact on the gene amplified or deleted, but it also has a broad, indirect impact elsewhere. To identify a set of CNAs that is coordinately associated with the expression changes of a set of genes, we used a biclustering algorithm on the correlation matrix. For each of the three cancer types examined, the aberrations in several loci are associated with cancer-type specific biological pathways that have been described in the literature: CNAs of chromosome (chr) 7p13 were significantly correlated with epidermal growth factor receptor signaling pathway in glioblastoma multiforme, chr 13q with NF-kappaB cascades in bladder cancer, and chr 11p with Reck pathway in breast cancer. In all three data sets, gene sets related to cell cycle/division such as M phase, DNA replication and cell division were also associated with CNAs. Our results suggest that CNAs are both directly and indirectly correlated with changes in expression and that it is beneficial to examine the indirect effects of CNAs. AVAILABILITY: The code is available upon request.

Indexed as

Computer SimulationDNA Mutational AnalysisDNA, NeoplasmGene DosageGene Expression ProfilingGene Expression Regulation, NeoplasticHumansModels, GeneticNeoplasm ProteinsNeoplasmsSystems IntegrationDNA, NeoplasmNeoplasm Proteins

Identifiers

PMID18263644
PMCPMC2600603
OpenAlexW2156138784

What OpenQuestion holds

Textmetadata
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.