Fibroid Growth Study

肌瘤生长研究

• 批准号: 8929780
• 负责人: SHYAMAL PEDDADA
• 金额: $ 4.19万
• 依托单位: NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8929780
• 关键词: 18 year old; Age; Apoptosis; Benign; Biological Process; Blood specimen; Caliber; Characteristics; Clinical; Clinical Research; Computer software; Data; Data Analyses; Diagnosis; Enrollment; Ethnic Origin; Fertility; Fibroid Tumor; Gene Chips; Gene Expression; Genes; Growth; Health; Healthcare; Hormones; Hysterectomy; Informed Consent; Leiomyoma; Location; Magnetic Resonance Imaging; Measurement; Molecular; Myometrial; Operative Surgical Procedures; Outcome; Pathway Analysis; Pathway interactions; Patients; Phenotype; Physiological; Population; Pregnancy; Premenopause; Publications; Questionnaires; RNA; Race; Regulation; Reporting; Research; Sampling; Signal Transduction; Signaling Pathway Gene; Sterility; Symptoms; Telephone; Time; Ultrasonography; Update; Urine; Uterine Fibroids; Uterine myomectomy; Uterus; Visit; Weight; Woman; base; clinically relevant; inclusion criteria; interest; lifestyle factors; molecular marker; myometrium; reproductive; tumor; tumor growth

In the Fibroid Growth Study(FGS) we collected a variety of data, such as MRI measurements of fibroid volumes over time (up to 4 time points), gene expression microarray data obtained on tumors from women who opted for surgery, etc. We are presently analyzing data obtained from that study. This research was motivated by our recent publications (Peddada et al., PNAS, 2008 and Baird et al.,Fertility and Sterility, 2010) regarding growth of fibroids in pre-menopausal women. 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 fibroids that showed significantly different growth rates between white and black women depending on their age. We now report the gene expression data from tumors collected in this study. Total RNA from 52 fibroid and 8 myometrial samples were analyzed using Affymetrix Gene Chip expression arrays. Gene expression data was first compared between all fibroids and normal myometrium and then between fibroids defined as rapidly growing and fibroids defined as non-growing based on age and race of the women from which these tumors were collected. 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 growing and non-growing fibroids. Key among these were genes associated with regulation of apoptosis. To our knowledge, this is the first study to compare growing and non-growing tumors from a clinical study in order to differentiate the molecular signals specific for tumor growth from the complexity of molecular signals that give rise to pleomorphic tumor phenotypes. We are currently investigating genes and pathways that may be uniquely associated with fibroids according to their size.

在肌瘤生长研究（FGS）中，我们收集了各种数据，如肌瘤体积随时间（多达4个时间点）的MRI测量，选择手术的女性肿瘤的基因表达微阵列数据等。我们目前正在分析从该研究中获得的数据。