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1.
Mol Biol Rep ; 43(4): 229-40, 2016 Apr.
Artículo en Inglés | MEDLINE | ID: mdl-26907180

RESUMEN

MicroRNAs (miRNAs) are small non-coding RNAs that function in transcriptional and post-transcriptional regulation of gene expression. Several miRNAs have been implicated in regulating prostate cancer (PCa) progression. Deregulations of miRNA regulatory networks have been reported in ERG positive PCa, which accounts for ~50 % of PCa and have been suggested to affect tumor aggressiveness. The function of miR338-3p, its prognostic significance, and its association with ERG positive PCa has not been fully investigated. Using microarray expression profiling, we identified miRNA338-3p as among the top deregulated miRNAs associated with ERG status in PCa. We investigated miR338-3p function using in vitro and in vivo experimental models and its expression was assessed and validated in clinical samples and a public cohort of localized and metastatic prostate cancer. miR338-3p was significantly down-regulated with disease progression from benign prostate tissue to primary and metastatic lesions. In localized disease, patients with lower miR338-3p expression levels showed increased association to biochemical recurrence and several adverse pathological parameters compared to patients with higher miRNA338-3p tissue expression levels. Using in vitro PCa cell models, overexpression of miR338-3p resulted in a decrease in cell invasion and expression of chemokine signalling genes CXCL12, CXCR4, and CXCR7. In vivo, orthotropic implantation of PC3 cells stably expressing miR338-3p was associated with a significant decrease in tumor weights compared to control cells. miR338-3p has anti-proliferative and anti-invasive properties. It affects CXCR4 axis, and its down-regulation is associated with adverse clinical outcomes in PCa patients.


Asunto(s)
Regulación Neoplásica de la Expresión Génica , Genes Supresores de Tumor , MicroARNs/genética , Neoplasias de la Próstata/metabolismo , Animales , Línea Celular Tumoral , Quimiocina CXCL12/genética , Humanos , Masculino , Ratones , Ratones SCID , Metástasis de la Neoplasia , Pronóstico , Neoplasias de la Próstata/diagnóstico , Neoplasias de la Próstata/patología , Receptores CXCR/genética , Receptores CXCR4/genética
2.
BJU Int ; 113(2): 309-19, 2014 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-24006850

RESUMEN

OBJECTIVES: ERG-gene rearrangement defines a distinct molecular subtype of PCA with potential biological and clinical implications. To identify a molecular signature reflective of the downstream effects of ERG-mediated transcriptional regulation with prognostic implication in patients with prostate cancer (PCA). MATERIAL AND METHODS: We used a singular value decomposition (SVD) bioinformatics approach to re-analyse gene expression data previously generated from 46 prostate tumours, and identified an ERG-like gene signature. The signature was validated on several patient cohorts and individual genes were correlated to ERG expression and PCA progression. RESULTS: An ERG-like 10-gene signature was identified and validated in PCA cohorts of the physician health study (p115) (n = 110) in addition to three independent public datasets, and was significantly associated with disease progression, biochemical recurrence and PCA-specific mortality. Patients with the ERG-like signature were significantly associated with disease recurrence on univariate (hazard ratio [HR] 2.6; 95% confidence interval [CI]:1.3-5.2; P = 0.004) and multivariate analysis (HR 2.3; 95% CI:1.1-4.6, P = 0.016) compared with patients without this signature. Within the group of patients with Gleason score (GS) 6 and 7 PCA, the signature added prognostic value beyond GS and identified patients at higher risk of cancer deaths more accurately than GS alone or in combination with ERG status. Protein expression of the 10 genes were significantly associated with ERG and disease progression regardless of ERG status. CONCLUSION: The characterized ERG-like signature was reflective of aggressive features of ERG-mediated transcription and was prognostically robust. The combination of this signature with clinicopathological variables should be validated prospectively to explore its clinical utility in stratifying patients with PCA and in identifying those at higher risk of metastatic and lethal disease.


Asunto(s)
Regulación Neoplásica de la Expresión Génica , Reordenamiento Génico , Neoplasias de la Próstata/genética , Transactivadores/genética , Biología Computacional , Progresión de la Enfermedad , Perfilación de la Expresión Génica , Humanos , Inmunohistoquímica , Masculino , Clasificación del Tumor , Pronóstico , Neoplasias de la Próstata/patología , Análisis de Supervivencia , Transactivadores/metabolismo , Regulador Transcripcional ERG
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