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Gene Expression in Uterine Leiomyoma from Tumors Likely to Be Growing (from Black Women over 35) and Tumors Likely to Be Non-Growing (from White Women over 35)

机译:可能在增长的子宫平滑肌瘤中的基因表达(来自35岁以上的黑人女性)和可能不增长的肿瘤(来自35岁以上的白人女性)

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摘要

The study of uterine leiomyomata (fibroids) provides a unique opportunity to investigate the physiological and molecular determinants of hormone dependent tumor growth and spontaneous tumor regression. We conducted a longitudinal clinical study of premenopausal women with leiomyoma that showed significantly different growth rates between white and black women depending on their age. Growth rates for leiomyoma were on average much higher from older black women than for older white women, and we now report gene expression pattern differences in tumors from these two groups of study participants. Total RNA from 52 leiomyoma and 8 myometrial samples were analyzed using Affymetrix Gene Chip expression arrays. Gene expression data was first compared between all leiomyoma and normal myometrium and then between leiomyoma from older black women (age 35 or older) and from older white women. Genes that were found significant in pairwise comparisons were further analyzed for canonical pathways, networks and biological functions using the Ingenuity Pathway Analysis (IPA) software. Whereas our comparison of leiomyoma to myometrium produced a very large list of genes highly similar to numerous previous studies, distinct sets of genes and signaling pathways were identified in comparisons of older black and white women whose tumors were likely to be growing and non-growing, respectively. Key among these were genes associated with regulation of apoptosis. To our knowledge, this is the first study to compare two groups of tumors that are likely to have different growth rates in order to reveal molecular signals likely to be influential in tumor growth.
机译:子宫平滑肌瘤(肌瘤)的研究为研究激素依赖性肿瘤生长和自发性肿瘤消退的生理和分子决定因素提供了独特的机会。我们对绝经前患有平滑肌瘤的妇女进行了一项纵向临床研究,结果显示,白人和黑人妇女的年龄增长速度明显不同。黑人女性的平滑肌瘤平均生长速度要比白人女性高得多,我们现在报告这两组研究参与者在肿瘤中的基因表达模式差异。使用Affymetrix基因芯片表达阵列分析了52个平滑肌瘤和8个子宫肌层样品的总RNA。首先比较所有平滑肌瘤和正常子宫肌层之间的基因表达数据,然后比较年龄较大的黑人妇女(35岁或35岁以上)和年龄较大的白人妇女的平滑肌瘤。使用Ingenuity Pathway Analysis(IPA)软件,进一步分析了在成对比较中发现的重要基因的经典途径,网络和生物学功能。尽管我们对平滑肌瘤和子宫肌层的比较产生了大量与以前的大量研究高度相似的基因,但是在比较可能患有肿瘤和未生长的老年黑人和白人妇女的过程中,发现了不同的基因组和信号传导途径,分别。其中关键是与细胞凋亡调控相关的基因。据我们所知,这是第一项比较两组可能具有不同生长速率的肿瘤的研究,以揭示可能影响肿瘤生长的分子信号。

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