期刊文献+

神经母细胞瘤的生物学诊断

Biological diagnosis for neuroblastoma using the combination of highly sensitive analysis of prognostic factors
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摘要 Background/Purpose:To select the optimal treatment according to the degree of malignancy of neuroblastoma,it is essential to accurately and rapidly identify any genetic abnormalities associated with the prognosis.This study aims to ass ess the correlation between the combination of prognostic factors and the biolog ic findings of neuroblastoma using a highly sensitive analysis of prognostic fac tors.Methods:In 44 neuroblastoma primary samples,we determined the gene dosag es of MYCN and Survivin(as the target of 17q gain)and the expression levels of MYCN,Survivin,and BIN1 using highly sensitive analysis(the quantitative poly merase chain reaction method);furthermore,we assessed the correlation between the combination of their prognostic factors and the biology of neuroblastoma.Re sults:The gene dosage of MYCN or Survivin was significantly associated with all known prognostic factors.The expression level of MYCN or Survivin was not sign ificantly associated with any prognostic factors,whereas the expression level o f BIN1 was significantly associated with 5 of 6 prognostic factors.Regarding th e combination of MYCN amplification and 17q gain(the gene dosage of Survivin),and the low expression of BIN1,the rates of advanced stages(stage III or IV)w ere 100%for the cases with 3 factors,63%for the cases with 2 factors,42%for the cases with 1 factor,an d 0%for the cases with null factor.Furthermore,the survival rates were 20%fo r the cases with 3 factors,50%for the cases with 2 factors,100%for the cases with 1 factor,and 100%for the cases with null factor.Conclusion:The combina tion of gene dosages of MYCN and Survivin and the expression level of BIN1 using the quantitative polymerase chain reaction method was significantly correlated with the clinical stage and the patients’outcome.This combination of biologic factors may enhance the accuracy to the conventional criteria,but this would ha ve to be shown in a much larger study that is adequately powered to detect such an advantage. Background/Purpose: To select the optimal treatment according to the degree of malignancy of neuroblastoma, it is essential to accurately and rapidly identify any genetic abnormalities associated with the prognosis. This study aims to assess the correlation between the combination of prognostic factors and the biologic findings of neuroblastoma using a highly sensitive analysis of prognostic factors. Methods: In 44 neuroblastoma primary samples, we determined the gene dosages of MYCN and Survivin (as the target of 17q gain) and the expression levels of MYCN, Survivin, and BIN1 using highly sensitive analysis (the quantitative polymerase chain reaction method); furthermore, we assessed the correlation between the combination of their prognostic factors and the biology of neuroblastoma.
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