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Prognostic value and co-expression patterns of metabolic pathways in cancers

机译:癌症中代谢途径的预后价值和共表达模式

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BACKGROUND:Abnormal metabolic pathways have been considered as one of the hallmarks of cancer. While numerous metabolic pathways have been studied in various cancers, the direct link between metabolic pathway gene expression and cancer prognosis has not been established.RESULTS:Using two recently developed bioinformatics analysis methods, we evaluated the prognosis potential of metabolic pathway expression and tumor-vs-normal dysregulations for up to 29 metabolic pathways in 33 cancer types. Results show that increased metabolic gene expression within tumors corresponds to poor cancer prognosis. Meta differential co-expression analysis identified four metabolic pathways with significant global co-expression network disturbance between tumor and normal samples. Differential expression analysis of metabolic pathways also demonstrated strong gene expression disturbance between paired tumor and normal samples.CONCLUSION:Taken together, these results strongly suggested that metabolic pathway gene expressions are disturbed after tumorigenesis. Within tumors, many metabolic pathways are upregulated for tumor cells to activate corresponding metabolisms to sustain the required energy for cell division.
机译:背景:代谢途径异常被认为是癌症的标志之一。虽然在各种癌症中研究了许多代谢途径,但尚未建立代谢途径基因表达和癌症预后的直接联系。结果:使用两种最近开发的生物信息学分析方法,我们评估了代谢途径表达和肿瘤-VS的预后潜力 - 在33种癌症类型中最多29种代谢途径的通道呼吸困难。结果表明,肿瘤内的代谢基因表达增加对应于癌症预后差。 Meta差分共表达分析确定了四种代谢途径,具有肿瘤和正常样品之间具有重大的全局共同表达网络障碍。代谢途径的差异表达分析还证明了配对肿瘤和正常样品之间的强基因表达扰动。结论:在一起,这些结果强烈建议在肿瘤发生后干扰代谢途径基因表达。在肿瘤内,肿瘤细胞上调许多代谢途径以激活相应的代谢以维持细胞分裂所需的能量。

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