Publication Detail
The publication detail shows the title, authors (with indicators showing other profiled authors), information on the publishing organization, abstract and a link to the article in PubMed. This abstract is what is used to create the fingerprint of the publication. If any grants are referenced by the publication, they will be listed here as well.
Transcriptomic biomarkers for individual risk assessment in new-onset heart failure.
Bettina Heidecker; Edward K Kasper; Ilan S Wittstein; Hunter C Champion; Elayne Breton; Stuart D Russell; Michelle M Kittleson; Kenneth L Baughman; Joshua M Hare (Profiled Authors: Joshua Hare; Edward Kasper; Stuart Russell; Hunter Champion; Ilan Wittstein)
Miller School of Medicine, University of Miami Division of Cardiology, CRB, 1120 NW 14th St, Suite 1124, Miami, FL 33136, USA.
Circulation 2008;118(3):238-46.
BACKGROUND: Prediction of prognosis remains a major unmet need in new-onset heart failure (HF). Although several clinical tests are in use, none accurately distinguish between patients with poor versus excellent survival. We hypothesized that a transcriptomic signature, generated from a single endomyocardial biopsy, could serve as a novel prognostic biomarker in HF. METHODS AND RESULTS: Endomyocardial biopsy samples and clinical data were collected from all patients presenting with new-onset HF from 1997 to 2006. Among a total of 350 endomyocardial biopsy samples, 180 were identified as idiopathic dilated cardiomyopathy. Patients with phenotypic extremes in survival were selected: good prognosis (event-free survival for at least 5 years; n=25) and poor prognosis (events [death, requirement for left ventricular assist device, or cardiac transplant] within the first 2 years of presentation with HF symptoms; n=18). We used human U133 Plus 2.0 microarrays (Affymetrix) and analyzed the data with significance analysis of microarrays and prediction analysis of microarrays. We identified 46 overexpressed genes in patients with good versus poor prognosis, of which 45 genes were selected by prediction analysis of microarrays for prediction of prognosis in a train set (n=29) with subsequent validation in test sets (n=14 each). The biomarker performed with 74% sensitivity (95% CI 69% to 79%) and 90% specificity (95% CI 87% to 93%) after 50 random partitions. CONCLUSIONS: These findings suggest the potential of transcriptomic biomarkers to predict prognosis in patients with new-onset HF from a single endomyocardial biopsy sample. In addition, our findings offer potential novel therapeutic targets for HF and cardiomyopathy.
Scientific Context
This section shows information related to the publication - computed using the fingerprint of the publication - including related publications, related experts and related grants with fingerprints representing significant amounts of overlap between their fingerprint and this publication. The red dots indicate whether those experts or terms appear within the publication, thereby showing potential and actual connections.
Related Publications
-
1.
2008Kenneth C Bilchick; Veronica Dimaano; Katherine C Wu; Robert H Helm; Robert G Weiss; Joao A Lima; Ronald D Berger; Gordon F Tomaselli; David A Bluemke; Henry R Halperin; et al.
JACC. Cardiovascular imaging 2008;1(5):561-8. -
2.
1995A Herskowitz; S B Willoughby; D Vlahov; K L Baughman; A A Ansari
Dilated heart muscle disease associated with HIV infection.
European heart journal 1995;16 Suppl O():50-5. -
3.
2011Karl H Schuleri; Marco Centola; Seong Hoon Choi; Kristine S Evers; Fady Dawoud; Richard T George; João A C Lima; Albert C Lardo
CT for evaluation of myocardial cell therapy in heart failure: a comparison with CMR imaging.
JACC. Cardiovascular imaging 2011;4(12):1284-93.
Related Topics
Appears in this Publication
Related Experts
Author of this Publication
-
Internal ExpertsPublications
-
222









-
77









-
335









-
29









-
123









-
237










