dc.creatorDALL’OGLIO, Marcos F.
dc.creatorCOELHO, Rafael F.
dc.creatorLEITE, Katia R. M.
dc.creatorSOUSA-CANAVEZ, Juliana M.
dc.creatorOLIVEIRA, Paulo S. L.
dc.creatorSrougi, Miguel
dc.date.accessioned2012-03-26T18:37:18Z
dc.date.accessioned2018-07-04T14:15:07Z
dc.date.available2012-03-26T18:37:18Z
dc.date.available2018-07-04T14:15:07Z
dc.date.created2012-03-26T18:37:18Z
dc.date.issued2010
dc.identifierInternational braz j urol, v.36, n.4, p.410-419, 2010
dc.identifier1677-5538
dc.identifierhttp://producao.usp.br/handle/BDPI/9632
dc.identifier10.1590/S1677-55382010000400004
dc.identifierhttp://www.scielo.br/scielo.php?script=sci_arttext&pid=S1677-55382010000400004
dc.identifierhttp://www.scielo.br/pdf/ibju/v36n4/v36n4a04.pdf
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1607562
dc.description.abstractPURPOSE: The determination of prognosis in patients with renal cell carcinoma (RCC) is based, classically, on stage and histopathological aspects. The metastatic disease develops in one third of patients after surgery, even in localized tumors. There are few options for treating those patients, and even the new target designed drugs have shown low rates of success in controlling disease progression. Few studies used high throughput genomic analysis in renal cell carcinoma for determination of prognosis. This study is focused on the identification of gene expression signatures in tissues of low-risk, high-risk and metastatic RCC clear cell type (RCC-CCT). MATERIALS AND METHODS: We analyzed the expression of approximately 55,000 distinct transcripts using the Whole Genome microarray platform hybridized with RNA extracted from 19 patients submitted to surgery to treat RCC-CCT with different clinical outcomes. They were divided into three groups (1) low risk, characterized by pT1, Fuhrman grade 1 or 2, no microvascular invasion RCC; (2) high risk, pT2-3, Fuhrman grade 3 or 4 with, necrosis and microvascular invasion present and (3) metastatic RCC-CCT. Normal renal tissue was used as control. RESULTS: After comparison of differentially expressed genes among low-risk, high-risk and metastatic groups, we identified a group of common genes characterizing metastatic disease. Among them Interleukin-8 and Heat shock protein 70 were over-expressed in metastasis and validated by real-time polymerase chain reaction. CONCLUSION: These findings can be used as a starting point to generate molecular markers of RCC-CCT as well as a target for the development of innovative therapies.
dc.languageeng
dc.publisherSociedade Brasileira de Urologia
dc.relationInternational braz j urol
dc.rightsCopyright Sociedade Brasileira de Urologia
dc.rightsopenAccess
dc.subjectCarcinoma, renal cell
dc.subjectMicroarray analysis
dc.subjectNeoplasm metastasis
dc.subjectOncogenes
dc.subjectInterleukin 8, heat-shock protein
dc.subjectGene expression profiling
dc.titleGene expression profile of renal cell carcinoma clear cell type
dc.typeArtículos de revistas


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