Protein-coding genes, long non-coding RNAs combined with microRNAs as a novel clinical multi-dimension transcriptome signature to predict prognosis in ovarian cancer.

Protein-coding genes, long non-coding RNAs combined with microRNAs as a novel clinical multi-dimension transcriptome signature to predict prognosis in ovarian cancer.
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DOI:
10.18632/oncotarget.20457
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发表时间:
2017-09-22
期刊:
影响因子:
--
通讯作者:
Xu-Feng W
Xu-Feng W
中科院分区:
其他
文献类型:
--
作者:
Meng X;Jin-Cheng G;Jue Z;Quan-Fu M;Bin Y;Xu-Feng W

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卵巢癌在妇女中很普遍,通常在晚期被诊断出来,死亡率很高。本研究旨在通过挖掘TCGA (The Cancer Genome Atlas)公共数据库的数据,探讨与卵巢浆液性癌患者预后相关的蛋白编码基因、长链非编码RNA和microRNA。2016年9月从TCGA数据库下载卵巢浆液性癌患者的临床资料。407例卵巢浆液性癌患者的平均年龄为59.71±11.54岁,平均生存时间为32.98±26.66个月。采用Cox比例风险回归分析,分析训练组中与卵巢浆液性癌患者生存显著相关的基因。采用随机生存森林算法、Kaplan-Meier和ROC分析,保留预后基因,构建具有最大ROC曲线下面积(AUC)的多维转录组特征(训练组0.69,试验组0.62)。选择由VAT1L、CALR、LINC01456、RP11-484L8.1、MIR196A1和MIR148A组成的特征,将训练组患者分为高危和低危亚组,生存时间差异显著(中位生存期:35.3个月vs. 64.9个月,P < 0.001)。该特征在试验组中得到验证,显示出相似的预后价值(中位生存期:高风险组41.6个月,低风险组57.4个月,P=0.018)。卡方检验和多变量Cox回归分析显示,该特征是影响卵巢浆液性癌患者预后的独立因素。最后,我们通过实验验证了基因的表达。
Ovarian cancer is prevalent in women which is usually diagnosed at an advanced stage with a high mortality rate. The aim of this study is to investigate protein-coding gene, long non-coding RNA, and microRNA associated with the prognosis of patients with ovarian serous carcinoma by mining data from TCGA (The Cancer Genome Atlas) public database. The clinical data of ovarian serous carcinoma patients was downloaded from TCGA database in September, 2016. The mean age and survival time of 407 patients with ovarian serous carcinoma were 59.71 ± 11.54 years and 32.98 ± 26.66 months. Cox's proportional hazards regression analysis was conducted to analyze genes that were significantly associated with the survival of ovarian serous carcinoma patients in the training group. Using the random survival forest algorithm, Kaplan–Meier and ROC analysis, we kept prognostic genes to construct the multi-dimensional transcriptome signature with max area under ROC curve (AUC) (0.69 in the training group and 0.62 in the test group). The selected signature composed by VAT1L, CALR, LINC01456, RP11-484L8.1, MIR196A1 and MIR148A, separated the training group patients into high-risk or low-risk subgroup with significantly different survival time (median survival: 35.3 months vs. 64.9 months, P < 0.001). The signature was validated in the test group showing similar prognostic values (median survival: 41.6 months in high-risk vs. 57.4 months in low-risk group, P=0.018). Chi-square test and multivariable Cox regression analysis showed that the signature was an independent prognostic factor for patients with ovarian serous carcinoma. Finally, we validated the expression of the genes experimentally.
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DOI: 10.18632/oncotarget.10416
发表时间: 2016-08-02
期刊: Oncotarget
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作者:
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Kozomara A;Griffiths-Jones S
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发表时间: 2010-04-15
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影响因子: 64.8
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DOI: 10.1038/onc.2012.351
发表时间: 2013-07-04
期刊: ONCOGENE
影响因子: 8
作者:
Aprelikova, O.;Palla, J.;Hibler, B.;Yu, X.;Greer, Y. E.;Yi, M.;Stephens, R.;Maxwell, G. L.;Jazaeri, A.;Risinger, J. I.;Rubin, J. S.;Niederhuber, J.
通讯作者: Niederhuber, J.