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April 23, 2008Physiological Genomics

Genomic analysis reveals poor separation of human cardiomyopathies of ischemic and nonischemic etiologies

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Why the study?

Can microarray-based gene expression signatures reliably differentiate between ischemic and nonischemic etiologies in end-stage human heart failure?

Population

279 end-stage human heart failure samples from one cDNA and two publicly available high-density…

Comparison

Microarray-based gene expression profiling using… vs Ischemic versus Nonischemic cardiomyopathies

Design

Other

Authors

RKRuprecht KunerGerman Cancer Research CenterABAndreas S. BarthJohns Hopkins UniversityMRMarkus RuschhauptUniversität Hamburg

Discussion

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Implication

Microarray signatures cannot reliably differentiate ICM from NICM; leaves open whether refined transcriptomic approaches can achieve clinical utility.

Structured PICO

Can microarray-based gene expression signatures reliably differentiate between ischemic and nonischemic etiologies in end-stage human heart failure?

P
Population
279 end-stage human heart failure samples from one cDNA and two publicly available high-density oligonucleotide microarray studies
I
Intervention
Microarray-based gene expression profiling using three different classification algorithms
C
Comparator
Ischemic (ICM) versus Nonischemic (NICM) cardiomyopathies
O
Outcome
Misclassification rates for differentiating ICM and NICM specimenssurrogate

Microarray-based transcriptomic signatures show poor separation between ischemic and nonischemic end-stage heart failure, though distinct biological pathways are overrepresented in each etiology.

Limitations

  • Prospective studies are required to test whether etiology-specific gene expression patterns are present at earlier disease stages or in subsets of both etiologies.

Cite This Study

Kuner et al. (2008) studied this question.

synapsesocial.com/papers/6a1a2a180fc4dc4e42436ba3https://doi.org/10.1152/physiolgenomics.00299.2007

Topics

Cardiomyopathy
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