Show simple item record

dc.contributor.authorSilveira, Sara Martoreli
dc.contributor.authorVillacis, Rolando Andre Rios
dc.contributor.authorMarchi, Fabio Albuquerque
dc.contributor.authorde Barros Filho, Mateus Camargo
dc.contributor.authorLinde, Sandra Aparecida Drigo [UNESP]
dc.contributor.authorNeto, Cristovam Scapulatempo
dc.contributor.authorLopes, Ademar
dc.contributor.authorda Cunha, Isabela Werneck
dc.contributor.authorRogatto, Silvia Regina [UNESP]
dc.date.accessioned2014-05-27T11:29:47Z
dc.date.available2014-05-27T11:29:47Z
dc.date.issued2013-06-25
dc.identifierhttp://dx.doi.org/10.1371/journal.pone.0067643
dc.identifier.citationPLoS ONE, v. 8, n. 6, 2013.
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/11449/75707
dc.description.abstractUndifferentiated high-grade pleomorphic sarcomas (UPSs) display aggressive clinical behavior and frequently develop local recurrence and distant metastasis. Because these sarcomas often share similar morphological patterns with other tumors, particularly leiomyosarcomas (LMSs), classification by exclusion is frequently used. In this study, array-based comparative genomic hybridization (array CGH) was used to analyze 20 UPS and 17 LMS samples from untreated patients. The LMS samples presented a lower frequency of genomic alterations compared with the UPS samples. The most frequently altered UPS regions involved gains at 20q13.33 and 7q22.1 and losses at 3p26.3. Gains at 8q24.3 and 19q13.12 and losses at 9p21.3 were frequently detected in the LMS samples. Of these regions, gains at 1q21.3, 11q12.2-q12.3, 16p11.2, and 19q13.12 were significantly associated with reduced overall survival times in LMS patients. A multivariate analysis revealed that gains at 1q21.3 were an independent prognostic marker of shorter survival times in LMS patients (HR = 13.76; P = 0.019). Although the copy number profiles of the UPS and LMS samples could not be distinguished using unsupervised hierarchical clustering analysis, one of the three clusters presented cases associated with poor prognostic outcome (P = 0.022). A relative copy number analysis for the ARNT, SLC27A3, and PBXIP1 genes was performed using quantitative real-time PCR in 11 LMS and 16 UPS samples. Gains at 1q21-q22 were observed in both tumor types, particularly in the UPS samples. These findings provide strong evidence for the existence of a genomic signature to predict poor outcome in a subset of UPS and LMS patients. © 2013 Silveira et al.en
dc.language.isoeng
dc.relation.ispartofPLOS ONE
dc.sourceScopus
dc.subjectantineoplastic agent
dc.subjectadjuvant therapy
dc.subjectadolescent
dc.subjectadult
dc.subjectaged
dc.subjectARNT gene
dc.subjectcancer prognosis
dc.subjectcancer radiotherapy
dc.subjectchild
dc.subjectchromosome 11q
dc.subjectchromosome 16p
dc.subjectchromosome 19q
dc.subjectchromosome 1q
dc.subjectchromosome 20q
dc.subjectchromosome 3p
dc.subjectchromosome 7q
dc.subjectchromosome 8q
dc.subjectchromosome 9p
dc.subjectchromosome loss
dc.subjectclinical article
dc.subjectcomparative genomic hybridization
dc.subjectfemale
dc.subjectgene
dc.subjectgene dosage
dc.subjectgene mutation
dc.subjecthuman
dc.subjecthuman tissue
dc.subjectleiomyosarcoma
dc.subjectmale
dc.subjectmuscle resection
dc.subjectnucleotide sequence
dc.subjectoverall survival
dc.subjectPBXIP1 gene
dc.subjectpleomorphic sarcoma
dc.subjectprediction
dc.subjectpreschool child
dc.subjectquantitative analysis
dc.subjectreal time polymerase chain reaction
dc.subjectsarcoma
dc.subjectschool child
dc.subjectSLC27A3 gene
dc.titleGenomic Signatures Predict Poor Outcome in Undifferentiated Pleomorphic Sarcomas and Leiomyosarcomasen
dc.typeArtigo
dcterms.licensehttp://www.plos.org/open-access/
dc.contributor.institutionA. C. Camargo Cancer Center
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionHospital do Câncer de Barretos
dc.description.affiliationNeogene Laboratory A. C. Camargo Cancer Center, São Paulo, São Paulo
dc.description.affiliationInstitute of Mathematics and Statistics Inter-Institutional Program on Bioinformatics, USP, São Paulo, São Paulo
dc.description.affiliationDepartment of Urology Faculty of Medicine, UNESP, Botucatu, São Paulo
dc.description.affiliationDepartment of Pathology Barretos Cancer Hospital (Pio XII Foundation), Barretos, São Paulo
dc.description.affiliationDepartment of Pelvic Surgery A. C. Camargo Cancer Center, São Paulo, São Paulo
dc.description.affiliationDepartment of Pathology A. C. Camargo Cancer Center, São Paulo, São Paulo
dc.description.affiliationUnespDepartment of Urology Faculty of Medicine, UNESP, Botucatu, São Paulo
dc.identifier.doi10.1371/journal.pone.0067643
dc.identifier.wosWOS:000321223000112
dc.rights.accessRightsAcesso aberto
dc.identifier.scopus2-s2.0-84879397016
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Medicina, Botucatupt
dc.identifier.file2-s2.0-84879397016.pdf
dc.identifier.lattes2259986546265579
unesp.author.lattes2259986546265579
unesp.author.orcid0000-0001-5815-8423[3]
unesp.author.orcid0000-0002-8317-3817[7]
unesp.author.orcid0000-0002-8920-6579[6]
unesp.author.orcid0000-0003-3893-5269[4]
unesp.author.orcid0000-0002-2029-5139[8]
dc.relation.ispartofjcr2.766
dc.relation.ispartofsjr1,164
Localize o texto completo

Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record