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Proteomics Clin Appl. 2011 Oct;5(9-10):532-41. doi: 10.1002/prca.201000089. Epub 2011 Sep 7.

An integrated proteomic approach to identifying circulating biomarkers in high-risk neuroblastoma and their potential in relapse monitoring.

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1
Texas Children's Cancer Center, Houston, TX, USA.

Abstract

PURPOSE:

Despite intensive treatment regimens, overall survival for high-risk neuroblastoma (HRNB) is still poor. This is in part due to an inability to cure the disease once a patient has reached clinical relapse. Identifying plasma biomarkers of active disease may provide a way of relapse monitoring in HRNB.

EXPERIMENTAL DESIGN:

In this study, we developed an integrated proteomic approach to identify plasma biomarkers for HRNB.

RESULTS:

We identified seven candidate biomarkers (SAA, APOA1, IL-6, EGF, MDC, sCD40L and Eotaxin) for HRNB. These biomarkers were then used to create a multivariate classifier of HRNB, which showed a specificity of 90% (95% confidence interval (CI), 73%, 98%), and a sensitivity of 81% (95%CI, 54%, 96%) for classifying HRNB in a training set. When evaluated on independent test samples, the classifier exhibited 86% accuracy (95% CI, 42%, 100%) of identifying diagnostic samples, and 86% accuracy (95% CI, 70%, 100%) of detecting post-diagnosis longitudinal samples that having active disease.

CONCLUSION AND CLINICAL RELEVANCE:

Further validation of these biomarkers may improve patients' outcomes by developing a simple blood test for the detection of relapse prior to the development of clinically evident disease. Understanding the role of these biomarkers in immune surveillance of neuroblastoma may also provide a new direction of therapeutic strategies.

PMID:
21833997
PMCID:
PMC3685293
DOI:
10.1002/prca.201000089
[Indexed for MEDLINE]
Free PMC Article
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