MicroRNA profiles classify papillary renal cell carcinoma subtypes.
Br J Cancer
; 109(3): 714-22, 2013 Aug 06.
Article
em En
| MEDLINE
| ID: mdl-23799849
ABSTRACT
BACKGROUND:
Besides the conventional clear-cell renal cell carcinoma (ccRCC), papillary RCC (pRCC) is the second most common renal malignancy. Papillary RCCs can further be subdivided into two distinct subtypes. Although a clinical relevance of pRCC subtyping has been shown, little is known about the molecular characteristics of both pRCC subtypes.METHODS:
We performed microarray-based microRNA (miRNA) expression profiling of primary ccRCC and pRCC cases. A subset of miRNAs was identified and used to establish a classification model for ccRCC, pRCC types 1 and 2 and normal tissue. Furthermore, we performed gene set enrichment analysis with the predicted miRNA target genes.RESULTS:
Only five miRNAs (miR-145, -200c, -210, -502-3p and let-7c) were sufficient to identify the samples with high accuracy. In a collection of 111 tissue samples, 73.9% were classified correctly. An enrichment of miRNA target genes in the family of multidrug-resistance proteins was noted in all tumours. Several components of the Jak-STAT signalling pathway might be targets for miRNAs that define pRCC tumour subtypes.CONCLUSION:
MicroRNAs are able to accurately classify RCC samples. Deregulated miRNAs might contribute to the high chemotherapy resistance of RCC. Furthermore, our results indicate that pRCC type 2 tumours could be dependent on oncogenic MYC signalling.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Carcinoma de Células Renais
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MicroRNAs
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Neoplasias Renais
Idioma:
En
Ano de publicação:
2013
Tipo de documento:
Article