Gynecologic Oncology, Department of Women's Oncology, Moffitt Cancer and Research Center, Tampa, FL 33612, USA.
Gynecol Oncol. 2011 Feb;120(2):256-64. doi: 10.1016/j.ygyno.2010.10.030. Epub 2010 Nov 19.
A putative model of spontaneous cancer has been described in the laying hen that bears significant similarities to human ovarian cancer. Our objective was to characterize and compare the patterns of gene expression in chicken and human forms of this disease.
RNA from 20 localized and metastatic ovarian and oviductal chicken tumor samples was isolated, amplified using in vitro transcription, and hybridized against normal ovarian epithelium to a customized cDNA microarray constructed for these studies. Differentially expressed genes were identified for localized ovarian, metastatic ovarian, and oviductal (or tubal) cancer by class comparison using BRB-ArrayTools. Results were validated with semi-quantitative PCR. A gene list (prediction model) constructed with the class prediction tool was used in a human ovarian cancer microarray obtained from the GEO datasets (GSE6008) in order to compare these results across species.
Class comparison analysis between localized ovarian, metastatic ovarian and oviductal cancer yielded 41 different informative probes that coded for 27 unique genes. Localized ovarian samples clustered between metastatic ovarian and oviductal cancer samples. Using our chicken data as a training set and leaving oviductal samples out of the analysis, we created a prediction model that classified early stage and advanced stage human ovarian cancer gene expression arrays with 78% overall accuracy.
Gene expression of spontaneous ovarian cancer in the chicken is comparable to gene expression patterns of human ovarian cancer.
在产蛋母鸡中已经描述了一种自发癌症的假定模型，该模型与人类卵巢癌有很大的相似性。我们的目的是描述和比较这种疾病在鸡和人类中的基因表达模式。
从 20 个局部和转移性卵巢和输卵管鸡肿瘤样本中分离 RNA，使用体外转录进行扩增，并与正常卵巢上皮杂交，以针对这些研究构建定制的 cDNA 微阵列。使用 BRB-ArrayTools 的类比较对局部性卵巢癌、转移性卵巢癌和输卵管（或管）癌进行差异表达基因的鉴定。使用半定量 PCR 验证结果。使用类别预测工具构建的基因列表（预测模型）用于从 GEO 数据集（GSE6008）中获得的人类卵巢癌微阵列，以便在物种间比较这些结果。
局部性卵巢癌、转移性卵巢癌和输卵管癌之间的类比较分析产生了 41 个不同的信息性探针，这些探针编码了 27 个独特的基因。局部性卵巢样本在转移性卵巢和输卵管癌症样本之间聚类。使用我们的鸡数据作为训练集并将输卵管样本排除在分析之外，我们创建了一个预测模型，该模型以 78%的总准确性对早期和晚期人类卵巢癌基因表达阵列进行分类。
鸡的自发性卵巢癌的基因表达与人类卵巢癌的基因表达模式相当。
