Transcription factor-microRNA-target gene networks associated with ovarian cancer survival and recurrence.

Transcription factor-microRNA-target gene networks associated with ovarian cancer survival and recurrence.
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DOI:
10.1371/journal.pone.0058608
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发表时间:
2013
期刊:
影响因子:
3.7
通讯作者:
Rodriguez-Zas SL
Rodriguez-Zas SL
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Delfino KR;Rodriguez-Zas SL

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鉴定可靠的转录组生物标记物需要同时考虑调控元件和靶元件,包括microRNAs(MiRNAs)、转录因子(TF)和靶基因。一种整合了多变量生存分析、特征选择和调控网络可视化的新方法被用来识别卵巢癌生存和复发的可靠生物标志物。同时考虑了272例卵巢癌患者的799个miRNAs、17,814个TF和靶基因的表达谱以及队列临床记录,并在146名独立的患者组上验证了结果。3个miRNAs(hsa-miR-16、hsa-miR-22*和EBV-miR-BHRF1-2*)与卵巢癌的生存和复发有关,27个miRNAs与其中一个危险相关。2个miRNAs(hsa-miR-521和hsa-miR-497)依赖于队列,28个不依赖于队列。这项研究确认了19个以前与卵巢癌相关的miRNAs,并确定了两个以前与其他癌症类型相关的miRNAs。总体而言,838和734个靶基因的表达以及12和8个TF的表达分别与卵巢癌的生存和复发相关(FDR调整后的P值和0.05)。功能分析强调了细胞和核苷酸代谢过程与卵巢癌之间的联系。在所研究的生存网络中,miRNAs、TF和靶基因的更直接的联系和更高的中心性表明,基于网络的方法预测或预测卵巢癌的生存可能比卵巢癌复发的方法更有效。本研究基于对共表达谱的分析和对患者临床特征的考虑,论证了推测可靠的miRNA-TF-靶基因网络与卵巢癌生存和复发相关的可行性。
The identification of reliable transcriptome biomarkers requires the simultaneous consideration of regulatory and target elements including microRNAs (miRNAs), transcription factors (TFs), and target genes. A novel approach that integrates multivariate survival analysis, feature selection, and regulatory network visualization was used to identify reliable biomarkers of ovarian cancer survival and recurrence. Expression profiles of 799 miRNAs, 17,814 TFs and target genes and cohort clinical records on 272 patients diagnosed with ovarian cancer were simultaneously considered and results were validated on an independent group of 146 patients. Three miRNAs (hsa-miR-16, hsa-miR-22*, and ebv-miR-BHRF1-2*) were associated with both ovarian cancer survival and recurrence and 27 miRNAs were associated with either one hazard. Two miRNAs (hsa-miR-521 and hsa-miR-497) were cohort-dependent, while 28 were cohort-independent. This study confirmed 19 miRNAs previously associated with ovarian cancer and identified two miRNAs that have previously been associated with other cancer types. In total, the expression of 838 and 734 target genes and 12 and eight TFs were associated (FDR-adjusted P-value <0.05) with ovarian cancer survival and recurrence, respectively. Functional analysis highlighted the association between cellular and nucleotide metabolic processes and ovarian cancer. The more direct connections and higher centrality of the miRNAs, TFs and target genes in the survival network studied suggest that network-based approaches to prognosticate or predict ovarian cancer survival may be more effective than those for ovarian cancer recurrence. This study demonstrated the feasibility to infer reliable miRNA-TF-target gene networks associated with survival and recurrence of ovarian cancer based on the simultaneous analysis of co-expression profiles and consideration of the clinical characteristics of the patients.
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通讯作者: Thomson, Elizabeth