Genomic and proteomic profiling II: comparative assessment of gene expression profiles in leiomyomas, keloids, and surgically-induced scars.
BACKGROUND
Leiomyoma have often been compared to keloids because of their fibrotic characteristic and higher rate of occurrence among African Americans as compared to other ethnic groups. To evaluate such a correlation at molecular level this study comparatively analyzed leiomyomas with keloids, surgical scars and peritoneal adhesions to identify genes that are either commonly and/or individually distinguish these fibrotic disorders despite differences in the nature of their development and growth.


METHODS
Microarray gene expression profiling and realtime PCR.


RESULTS
The analysis identified 3 to 12% of the genes on the arrays as differentially expressed among these tissues based on P ranking at greater than or equal to 0.005 followed by 2-fold cutoff change selection. Of these genes about 400 genes were identified as differentially expressed in leiomyomas as compared to keloids/incisional scars, and 85 genes as compared to peritoneal adhesions (greater than or equal to 0.01). Functional analysis indicated that the majority of these genes serve as regulators of cell growth (cell cycle/apoptosis), tissue turnover, transcription factors and signal transduction. Of these genes the expression of E2F1, RUNX3, EGR3, TBPIP, ECM-2, ESM1, THBS1, GAS1, ADAM17, CST6, FBLN5, and COL18A was confirmed in these tissues using quantitative realtime PCR based on low-density arrays.


CONCLUSIONS
the results indicated that the molecular feature of leiomyomas is comparable but may be under different tissue-specific regulatory control to those of keloids and differ at the levels rather than tissue-specific expression of selected number of genes functionally regulating cell growth and apoptosis, inflammation, angiogenesis and tissue turnover.
Luo
Xiaoping
X
Department of Obstetrics and Gynecology, University of Florida, College of Medicine, Gainesville, Florida 32610, USA. xiaoping@obgyn.ufl.edu
Pan
Qun
Q
Liu
Li
L
Chegini
Nasser
N
D000328:Adult; D001741:Black or African American / Q000235:genetics; D002921:Cicatrix / Q000453:epidemiology / Q000235:genetics* / Q000378:metabolism; D016000:Cluster Analysis; D005260:Female; D015870:Gene Expression; D020869:Gene Expression Profiling; D023281:Genomics; D006801:Humans; D007627:Keloid / Q000453:epidemiology / Q000235:genetics* / Q000378:metabolism; D007889:Leiomyoma / Q000453:epidemiology / Q000235:genetics* / Q000378:metabolism; D008875:Middle Aged; D020411:Oligonucleotide Array Sequence Analysis; D010532:Peritoneal Diseases / Q000235:genetics* / Q000378:metabolism; D016133:Polymerase Chain Reaction; D015995:Prevalence; D040901:Proteomics; D012333:RNA, Messenger / Q000378:metabolism; D000267:Tissue Adhesions / Q000235:genetics / Q000378:metabolism; D014594:Uterine Neoplasms / Q000453:epidemiology / Q000235:genetics* / Q000378:metabolism
D012333:RNA, Messenger
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