Prediction of lymph node metastasis in patients with endometrioid endometrial cancer using expression microarray
Prediction of lymph node metastasis in patients with endometrioid endometrial cancer using expression microarray
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DOI：
10.1158/1078-0432.ccr-05-0835
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发表时间：
2006-01-01
影响因子：
11.5
通讯作者：
Maxwell, GL
中科院分区：
文献类型：
--
作者：
Bidus, MA;Risinger, JI;Maxwell, GL
目的：描述子宫内膜癌淋巴结转移相关的基因表达谱，以确定与转移spread.Experimental设计相关的基因：41例子宫内膜癌患者的子宫内膜癌严重局限于子宫腔进行了评价。41例患者中有12例淋巴结阳性。使用Affytek HG 133 A和HG 133 B基因芯片组分析RNA的基因表达，代表覆盖> 28，000个UniGene簇的45，000个阵列特征。数据分析采用多维标度、二元比较和层次聚类。几个差异表达基因的基因表达进行了检查，使用定量PCR.Results：基因表达数据，从30,964个基因中检测到至少5%的情况下。对淋巴结阳性与淋巴结阴性病例的监督分析表明，在P < 0.005时，450个基因在两类之间显著差异表达，其中81个基因在P < 0.005时差异表达至少2倍。过表达的基因包括两个细胞周期检查点基因，CDC 2和MAD 2L 1，它们先前已被描述为与其他癌症类型的淋巴结转移相关。Z/C2锌指基因在淋巴结转移阳性的子宫内膜癌组织中过表达，而在淋巴结转移阴性的子宫内膜癌组织中则无表达。结论：子宫内膜样癌患者原发灶的基因表达谱可能有助于识别与淋巴结转移相关的基因。未来的研究应该解决是否可以从术前组织标本的表达谱确定淋巴结转移的状态。
Purpose: To characterize the gene expression profiles of endometrioid endometrial cancers associated with lymph node metastasis in an effort to identify genes associated with metastatic spread.Experimental Design: Tumors from 41 patients with endometrioid endometrial cancer grossly confined to the uterine cavity were evaluated. Positive lymph nodes were noted in 12 of 41 patients. RNA was analyzed for gene expression using the Affymetrix HG133A and HG133B GeneChip set, representing 45,000 array features covering > 28,000 UniGene clusters. Data analysis was done using multidimensional scaling, binary comparison, and hierarchical clustering. Gene expression for several differentially expressed genes was examined using quantitative PCR.Results: Gene expression data was obtained from 30,964 genes that were detected in at least 5% of the cases. Supervised analysis of node-positive versus node-negative cases indicated that 450 genes were significantly differentially expressed between the two classes at P < 0.005, 81 of which were differentially expressed by at least 2-fold at P < 0.005. Overexpressed genes included two cell cycle checkpoint genes, CDC2 and MAD2L1, which have previously been described in association with lymph node metastasis in other cancer types. The Z/C2 zinc finger gene was overexpressed in endometrial cancers with positive nodes versus those with negative nodes.Conclusion: Gene expression profiling of the primary tumors in patients with endometrioid endometrial cancers seems promising for identifying genes associated with lymph node metastasis. Future studies should address whether the status of nodal metastasis can be determined from the expression profiles of preoperative tissue specimens.