Visualizar Tese - Instituto de Biociências - Unesp
Visualizar Tese - Instituto de Biociências - Unesp Visualizar Tese - Instituto de Biociências - Unesp
INTRODUCTIONUterine Leiomyomas (ULs) are the most common benign tumors of reproductive ageaffecting 25-30% of women [1]. The ULs are smooth muscle tumors, often multiple tumorsare found in the same uterus [2]. Although they are extremely common and represent animportant public health problem, the biology of these tumors still remains unexplained. Themajority of tumors are asymptomatic which only one fourth of individuals have clinicalsymptoms such as pelvic pain, abnormal bleeding, infertility and pregnancy complications[3]. Estrogen and progesterone are the most critical regulators of fibroid growth [4, 5]. Inaddition, growth factors [6], deregulation of microRNAs (miRNAs) [7], shortening oftelomeres [8], excessive production of disorganized extracellular matrix [6, 9], genomicregions with loss of heterozygosity [10] and recurrent chromosomal aberrations [for review11] have also been suggested to contribute to the growth of fibroids.Around 50% of ULs harbor chromosomal rearrangements involving a small number ofnonrandom chromosomal regions [for review 12]. Gene expression profile studies revealedmainly genes involved with cell proliferation, cell cycle, differentiation and extracellularmatrix production [for review 13]. However, few studies have associated copy numberalterations (CNAs) with deregulated gene expression in ULs [14, 15, 16]; these studies havingused indirect correlation analysis.Identifying genes as drivers (modulators) of tumorigenesis is a crucial challenge. DNAcopy number alteration is the one of several events that can regulate gene expression [17].Recently, studies using integrative analysis of genomic and transcriptomic data of cancer haverevealed genes mapped at CNAs regions with an aberrant gene expression [18, 19]. Theseevents could be underlying mechanisms of disease evolution and reveal new potentialcandidates for therapeutic intervention [20].3
Thus, these findings prompt us to investigate the genomic and transcriptomic profilingin ULs using CONEXIC, an algorithm recently described [17]. In addition, functionalanalysis of networks and canonical pathways of modulators was applied to uncover molecularpathways involving in ULs pathogenesis that can be useful to select molecular markers anddefine target therapies.MATERIAL AND METHODSTissue sample collection. Fifty-one fresh ULs samples were collected from 34 patientsand stored at -80°C. These samples were collected from patients that undergone tohysterectomy procedure at the Department of Gynecology and Obstetrics, School ofMedicine, Sao Paulo State University, São Paulo, Brazil, between October 1995 and February2004. All the patients were advised of the procedures and thus provided informed consent.This study was approved by the Institutional Ethics Committee 146/2007-CEP.Clinical and histopathological parameters. Nine patients (n=9) had one UL tumor.Twenty-five patients had multiple tumors: 13 of them had one sample evaluated (n=13),seven had two samples evaluated (n=14) and five had three samples evaluated (n=15). Allwomen were premenopausal, showing regular menstrual cycles prior to diagnosis of UL, andthey no received exogenous hormones or hormone suppression therapy at least three monthsbefore surgery. At surgery, 13 patients were in proliferative menstrual cycle phase and 21 insecretory period [21]. The medical records from patients were examined in 2011 to retrieveclinical and pathological data (Table S1). The age ranged from 35 to 51 years with mean age45 years. All of the tumors were histopathologically diagnosed as usual ULs.Array CGH. Genomic DNA from 51 ULs were prepared by standard sodium dodecylsulfate/proteinase K digestion followed by phenol and chloroform extraction and ethanolprecipitation and were stored at -20°C. The samples were treated with RNaseA 20µg/ml4
- Page 225 and 226: Cirilo, PDRDISCUSSÃO202bioquímica
- Page 227 and 228: Cirilo, PDRDISCUSSÃO204carcinoma c
- Page 229 and 230: Cirilo, PDRCONCLUSÕES DISCUSSÃO20
- Page 231 and 232: Cirilo, PDRREFERÊNCIAS2087. Refer
- Page 233 and 234: Cirilo, PDRREFERÊNCIAS210Brazelle
- Page 235 and 236: Cirilo, PDRREFERÊNCIAS212Churikov
- Page 237 and 238: Cirilo, PDRREFERÊNCIAS214Gannon BR
- Page 239 and 240: Cirilo, PDRREFERÊNCIAS216Holthause
- Page 241 and 242: Cirilo, PDRREFERÊNCIAS218Kazmiercz
- Page 243 and 244: Cirilo, PDRREFERÊNCIAS220Lloret M,
- Page 245 and 246: Cirilo, PDRREFERÊNCIAS222Mitra R,
- Page 247 and 248: Cirilo, PDRREFERÊNCIAS224Ozisik YY
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- Page 253 and 254: Cirilo, PDRREFERÊNCIAS230Ueki K, R
- Page 255 and 256: Cirilo, PDRREFERÊNCIAS232and poly(
- Page 257 and 258: Skubitz KM e Skubitz APJ Lab Clin M
- Page 259 and 260: Dimitrova IK et al. Fertil Steril,9
- Page 261 and 262: 317T_B317T_C13 614T 44 LU prolifera
- Page 263 and 264: 46 867T 46 LUM outros B 14 33,5 17
- Page 265 and 266: 1015T 6q13-q14.1 75,806,978-76,314,
- Page 267 and 268: MRPS31, SLC25A15, SUGT1L1 320d-1630
- Page 269 and 270: 8q22.3-q23.1 105,831,966 107,742,33
- Page 271 and 272: Anexo 5. Genes identificados na an
- Page 273 and 274: + + CCDC8 0 51 37 14+ - CALM3 51 0
- Page 275: ABSTRACTBackground: Uterine leiomyo
- Page 279 and 280: Technologies, Santa Clara, CA). Sta
- Page 281 and 282: mapped at 1p36.13, 1q41, 2q32.1, 2q
- Page 283 and 284: genetic disorder showed the higher
- Page 285 and 286: The modulators were mainly associat
- Page 287 and 288: egulation of cell cycle. Chegini an
- Page 289 and 290: REFERENCES[1] Baird DD, Dunson DB (
- Page 291 and 292: [37] Luo X, Ding L, Xu J et al. (20
- Page 293 and 294: AArray CGHExpression arrayBtumoral
- Page 295 and 296: ABDiseases and Disorders P value Mo
- Page 298 and 299: Tabel 2. Genes identified on module
- Page 300 and 301: Table S1. Clinical parameters and h
- Page 302 and 303: 32 954T 45 M secretory W 12 33,7 18
- Page 304 and 305: 16 28184420-30915100 2730680 p11.2
- Page 306 and 307: MYPN hsa-miR-214 -NFKBIL2 - -PKP3 -
- Page 308: Table S5. Ingenuity Pathways Analys
INTRODUCTIONUterine Leiomyomas (ULs) are the most common benign tumors of reproductive ageaffecting 25-30% of women [1]. The ULs are smooth muscle tumors, often multiple tumorsare found in the same uterus [2]. Although they are extremely common and represent animportant public health problem, the biology of these tumors still remains unexplained. Themajority of tumors are asymptomatic which only one fourth of individuals have clinicalsymptoms such as pelvic pain, abnormal bleeding, infertility and pregnancy complications[3]. Estrogen and progesterone are the most critical regulators of fibroid growth [4, 5]. Inaddition, growth factors [6], <strong>de</strong>regulation of microRNAs (miRNAs) [7], shortening oftelomeres [8], excessive production of disorganized extracellular matrix [6, 9], genomicregions with loss of heterozygosity [10] and recurrent chromosomal aberrations [for review11] have also been suggested to contribute to the growth of fibroids.Around 50% of ULs harbor chromosomal rearrangements involving a small number ofnonrandom chromosomal regions [for review 12]. Gene expression profile studies revealedmainly genes involved with cell proliferation, cell cycle, differentiation and extracellularmatrix production [for review 13]. However, few studies have associated copy numberalterations (CNAs) with <strong>de</strong>regulated gene expression in ULs [14, 15, 16]; these studies havingused indirect correlation analysis.I<strong>de</strong>ntifying genes as drivers (modulators) of tumorigenesis is a crucial challenge. DNAcopy number alteration is the one of several events that can regulate gene expression [17].Recently, studies using integrative analysis of genomic and transcriptomic data of cancer haverevealed genes mapped at CNAs regions with an aberrant gene expression [18, 19]. Theseevents could be un<strong>de</strong>rlying mechanisms of disease evolution and reveal new potentialcandidates for therapeutic intervention [20].3