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Journal of Southern Medical University ; (12): 444-450, 2016.
Artículo en Chino | WPRIM | ID: wpr-273744

RESUMEN

<p><b>OBJECTIVE</b>To investigate the correlations among OCT4, Notch1 and DLL4 and their association with the clinicopathological features of patients with epithelial ovarian cancer (EOC).</p><p><b>METHODS</b>A total of 207 specimens of EOC and 65 specimens of benign ovarian epithelial tumor tissues were examined for expressions of OCT4, Notch1 and DLL4 proteins using immunohistochemistry.</p><p><b>RESULTS</b>The positivity rates of OCT4, Notch1 and DLL4 in EOC tissues were 60.0%, 61.8% and 60.9%, respectively, significantly higher than the rates in benign epithelial tumor tissues (9.2%, 6.2%, and 0, respectively; P<0.05). The expressions of OCT4, Notch1 and DLL4 in EOC were significantly correlated with tumor differentiation, FIGO stage, and lymph node metastasis (P<0.05). DLL4 was positively correlated with OCT4 and Notch1 expressions (r=0.758 and 0.704, respectively, P<0.001), and the latter two were also positively correlated (r=0.645, P<0.001). Overexpressions of OCT4, Notch1 and DLL4 were associated with a poor prognosis, and the survival rate was significantly lower in patients positive for OCT4, Notch1, and DLL4 than in the negative patients (P<0.05). FIGO stage and expressions of OCT4 and DLL4 were independent prognostic factors of EOC (P<0.05).</p><p><b>CONCLUSION</b>The expressions of OCT4, Notch1 and DLL4 are correlated with the differentiation, lymph node metastasis, clinical stage and prognosis of EOC. Combined detection of the 3 proteins has an important value in predicting the progression and prognosis of EOC.</p>


Asunto(s)
Femenino , Humanos , Progresión de la Enfermedad , Inmunohistoquímica , Péptidos y Proteínas de Señalización Intercelular , Metabolismo , Metástasis Linfática , Neoplasias Glandulares y Epiteliales , Metabolismo , Patología , Factor 3 de Transcripción de Unión a Octámeros , Metabolismo , Neoplasias Ováricas , Metabolismo , Patología , Pronóstico , Receptor Notch1 , Metabolismo , Tasa de Supervivencia
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