Molecular clustering of endometrial carcinoma based on estrogen-induced gene expression.
Molecular clustering of endometrial carcinoma based on estrogen-induced gene expression.
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DOI：
10.4161/cbt.8.22.9740
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发表时间：
2009-11
影响因子：
3.6
通讯作者：
Loose DS
中科院分区：
文献类型：
--
作者：
Westin SN;Broaddus RR;Deng L;McCampbell A;Lu KH;Lacour RA;Milam MR;Urbauer DL;Mueller P;Pickar JH;Loose DS
生物标记物的识别可能提供有助于指导临床决策的预后信息。鉴于雌激素暴露与子宫内膜癌，特别是低级别子宫内膜样癌的关系，我们假设雌激素诱导的基因高表达将识别低风险的子宫内膜样癌。通过基因芯片和qRT-PCR验证，筛选出6个雌激素诱导子宫内膜高表达的基因。采用定量逆转录聚合酶链式反应(qRT-PCR)对72例子宫内膜癌组织中雌激素诱导的生物标志物进行了定量检测。使用与肿瘤特征相关的表达数据进行非监督聚类分析。采用Kaplan-Meier方法对各分组的复发时间进行统计分析。受试者操作特征(ROC)曲线被用来确定生物标记物小组预测预后的潜在临床效用。ALL基因在子宫内膜样癌中的表达高于非子宫内膜样癌。非监督聚类分析显示了基于基因表达的两个截然不同的组。高表达群体的特点是年龄较低，体重指数较高，子宫内膜样变组织学分级较低。低表达组的复发率是高表达组的4.35倍。ROC分析可以预测子宫内膜样瘤的分期和分级，根据基因表达水平的假阴性率为4.8%。因此，我们已经确定了一组雌激素诱导的基因，这些基因在预测子宫内膜癌分期和复发风险方面具有潜在的实用价值。这项概念验证研究表明，生物标记物分析可能在妇女子宫内膜癌治疗的临床决策中发挥作用。
Identification of biomarkers potentially provides prognostic information that can help guide clinical decision-making. Given the relationship between estrogen exposure and endometrial cancer, especially low grade endometrioid carcinoma, we hypothesized that high expression of genes induced by estrogen would identify low risk endometrioid endometrial cancers. cDNA microarray and qRT-PCR verification were used to identify six genes that are highly induced by estrogen in the endometrium. These estrogen-induced biomarkers were quantified in 72 endometrial carcinomas by qRT-PCR. Unsupervised cluster analysis was performed, with expression data correlated to tumor characteristics. Time to recurrence by cluster was analyzed using the Kaplan-Meier method. A receiver operating characteristic (ROC) curve was generated to determine the potential clinical utility of the biomarker panel to predict prognosis. Expression of all genes was higher in endometrioid carcinomas compared to non-endometrioid carcinomas. Unsupervised cluster analysis revealed two distinct groups based on gene expression. The high expression cluster was characterized by lower age, higher BMI, and low grade endometrioid histology. The low expression cluster had a recurrence rate 4.35 times higher than the high expression cluster. ROC analysis allowed for the prediction of stage and grade with a false negative rate of 4.8% based on level of gene expression in endometrioid tumors. We have therefore identified a panel of estrogen-induced genes that have potential utility in predicting endometrial cancer stage and recurrence risk. This proof-of-concept study demonstrates that biomarker analysis may play a role in clinical decision making for the therapy of women with endometrial cancer.
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影响因子：
4.8
作者：
BOETTGERTONG, HL;STANCEL, GM
通讯作者：
STANCEL, GM
影响因子：
10.3
作者：
Panici, Pierluigi Benedetti;Basile, Stefano;Mangioni, Costantino
通讯作者：
Mangioni, Costantino
DOI：
10.1073/pnas.94.13.6770
发表时间：
1997-06-24
影响因子：
11.1
作者：
Finch, PW;He, X;Rubin, JS
通讯作者：
Rubin, JS
影响因子：
64.8
作者：
Taipale, J;Beachy, PA
通讯作者：
Beachy, PA
影响因子：
2
作者：
Rutanen, EM
通讯作者：
Rutanen, EM