A microRNA-based prediction algorithm for diagnosis of non-small lung cell carcinoma in minimal biopsy material.
Br J Cancer
; 109(9): 2404-11, 2013 Oct 29.
Article
em En
| MEDLINE
| ID: mdl-24113142
ABSTRACT
BACKGROUND:
Diagnosis is jeopardised when limited biopsy material is available or histological quality compromised. Here we developed and validated a prediction algorithm based on microRNA (miRNA) expression that can assist clinical diagnosis of lung cancer in minimal biopsy material to improve clinical management.METHODS:
Discovery utilised Taqman Low Density Arrays (754 miRNAs) in 20 non-small cell lung cancer (NSCLC) tumour/normal pairs. In an independent set of 40 NSCLC patients, 28 miRNA targets were validated using qRT-PCR. A prediction algorithm based on eight miRNA targets was validated blindly in a third independent set of 47 NSCLC patients. The panel was also tested in formalin-fixed paraffin-embedded (FFPE) specimens from 20 NSCLC patients. The genomic methylation status of highly deregulated miRNAs was investigated by pyrosequencing.RESULTS:
In the final, frozen validation set the panel had very high sensitivity (97.5%), specificity (96.3%) and ROC-AUC (0.99, P=10(-15)). The panel provided 100% sensitivity and 95% specificity in FFPE tissue (ROC-AUC=0.97 (P=10(-6))). DNA methylation abnormalities contribute little to the deregulation of the miRNAs tested.CONCLUSION:
The developed prediction algorithm is a valuable potential biomarker for assisting lung cancer diagnosis in minimal biopsy material. A prospective validation is required to measure the enhancement of diagnostic accuracy of our current clinical practice.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Carcinoma Pulmonar de Células não Pequenas
/
MicroRNAs
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Neoplasias Pulmonares
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
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Risk_factors_studies
Limite:
Aged
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Female
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Humans
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Male
Idioma:
En
Revista:
Br J Cancer
Ano de publicação:
2013
Tipo de documento:
Article
País de afiliação:
Espanha