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首页> 外文期刊>BioMed research international >Coexpression Pattern Analysis of NPM1-Associated Genes in Chronic Myelogenous Leukemia
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Coexpression Pattern Analysis of NPM1-Associated Genes in Chronic Myelogenous Leukemia

机译:慢性髓性白血病NPM1相关基因的共表达模式分析

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Background. Nucleophosmin 1 (NPM1) plays an important role in ribosomal synthesis and malignancies, but NPM1 mutations occur rarely in the blast-crisis and chronic-phase chronic myelogenous leukemia (CML) patients. The NPM1-associated gene set (GCM_NPM1), in total 116 genes including NPM1, was chosen as the candidate gene set for the coexpression analysis. We wonder if NPMl-associated genes can affect the ribosomal synthesis and translation process in CML. Results. We presented a distribution-based approach for gene pair classification by identifying a disease-specific cutoff point that classified the coexpressed gene pairs into strong and weak coexpression structures. The differences in the coexpression patterns between the normal and the CML groups were reflected from the overall structure by performing two-sample Kolmogorov-Smirnov test. Our developed method effectively identified the coexpression pattern differences from the overall structure: P value = 1.71 x 10~(-22) < 0.05 for the maximum deviation D = 0.109. Moreover, we found that genes involved in the ribosomal synthesis and translation process tended to be coexpressed in the CML group. Conclusion. Our developed method can identify the coexpression difference between two different groups. Dysregulation of ribosomal synthesis and translation process may be related to the CML disease. Our significant findings may provide useful information for the novel CML mechanism exploration and cancer treatment.
机译:背景。 Nucleophosmin 1(NPM1)在核糖体合成和恶性肿瘤中起重要作用,但NPM1突变很少发生在爆炸危机和慢性相慢性髓性白血病(CML)患者中。选择NPM1相关的基因集(GCM_NPM1),总共116个基因包括NPM1,作为用于共表达分析的候选基因。我们想知道NPML相关的基因是否可以在CML中影响核糖体合成和翻译过程。结果。我们通过鉴定将共表达基因对分为强且弱的共表达结构的疾病特异性的截止点来提出基于基于基因对分类的分布方法。通过执行两个样本的Kolmogorov-Smirnov测试,从整体结构反映了正常和CML组之间的共抑制模式的差异。我们开发的方法有效地确定了与总结构的共表达模式差异:P值= 1.71×10〜(-22)<0.05,用于最大偏差d = 0.109。此外,我们发现参与核糖体合成和翻译过程中的基因往往在CML组中被共表达。结论。我们开发的方法可以识别两个不同组之间的共表达差异。核糖体合成和翻译过程的失调可能与CML疾病有关。我们的重要发现可能为新型CML机制勘探和癌症治疗提供有用的信息。

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