title: 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).
abstract: 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.
authors.affiliation: Biomedical Sciences, Cummings School of Veterinary Medicine at Tufts University, North Grafton, Massachusetts, United States of America.
authors.forename: Barbara J
authors.initials: BJ
authors.lastname: Davis
authors.forename: John I
authors.initials: JI
authors.lastname: Risinger
authors.forename: Gadisetti V R
authors.initials: GV
authors.lastname: Chandramouli
authors.forename: Pierre R
authors.initials: PR
authors.lastname: Bushel
authors.forename: Donna Day
authors.initials: DD
authors.lastname: Baird
authors.forename: Shyamal D
authors.initials: SD
authors.lastname: Peddada
mesh_terms: D000328:Adult; D000367:Age Factors; D044383:Black People / Q000235:genetics*; D066246:ErbB Receptors / Q000235:genetics / Q000378:metabolism; D005260:Female; D015870:Gene Expression; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D053263:Gene Regulatory Networks; D006801:Humans; D007889:Leiomyoma / Q000235:genetics* / Q000378:metabolism / Q000473:pathology*; D008875:Middle Aged; D009215:Myometrium / Q000378:metabolism / Q000473:pathology; D017697:Premenopause; D015398:Signal Transduction; D047368:Tumor Burden; D044465:White People / Q000235:genetics*; D055815:Young Adult
chemical_list: D066246:ErbB Receptors