Please use this identifier to cite or link to this item: https://ninho.inca.gov.br/jspui/handle/123456789/11781
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dc.contributor.authorAndrade, Francianne Gomes-
dc.contributor.authorNoronha, Elda Pereira-
dc.contributor.authorBrisson, Gisele Dallapicola-
dc.contributor.authorCezar, Ingrid Sardou-
dc.contributor.authorPina, Eugênia Terra Granado-
dc.contributor.authorThuler, Luiz Claudio Santos-
dc.contributor.authorOliveira, Maria do Socorro Pombo de-
dc.contributor.authorBueno, Filipe Vicente dos Santos-
dc.date.accessioned2022-12-16T19:29:21Z-
dc.date.available2022-12-16T19:29:21Z-
dc.date.issued2016-
dc.identifier.citationANDRADE, Francianne Gomes et al. Molecular characterization of pediatric acute myeloid leukemia: results of a multicentric study in Brazil. Archives of Medical Research, v. 47, p. 656-667, 2016.-
dc.identifier.issn1873-5487-
dc.identifier.urihttps://ninho.inca.gov.br/jspui/handle/123456789/11781-
dc.descriptionp. 656 - 667.: il. p&b.-
dc.description.abstractThe biological characterization of childhood acute myeloid leu kemia (c-AML) is an important outcome predictor. In Brazil, very little is known about the frequency of AML subgroups, although c-AML accounts for about 18% of leukemias. We carried out this study to investigate the contribution of type I and II gene mutations in the probability of overall survival (pOS) of c-AML in Brazil. Methods. Seven hundred and three de novo pediatric AML cases (2000e2015) were as sessed throughout a multicentric network study. Mutations in hotspot regions of FLT3, NRAS, KRAS, PTPN11, and c-KIT genes were analyzed as well as fusion genes (RUNX1-RUNX1T1, MLL/KMT2A-r, CBFb-MYH11, and PML-RARa) associated with AML. Patients were treated out of the clinical trial although following the BFM AML2004 protocol. Acute promyelocytic leukemia (APL) was treated differently. AML with Down syndrome was excluded. Results. There were significant differences in gene mutations among age ranges (#2 years-old; O2e10 years old and $11 years old) and the nonrandom association be tween type I/II mutations. Lower white blood cell count (#50 109 /L) was associated with RUNX1-RUNX1T1, whereas higher WBC with CBFb-MYH11 ( p !0.05). Cumula tive pOS in 5 years was 37.7 2.8% for total AMLs and 59.8 6.2% for APL ( p 5 0.03). pOS differences were observed between Brazilian regions. The South Southeast regions had a better 5-year pOS, whereas the Midwest region presented the poorest pOS (23.7 4.9%). PTPN11 mutations conferred an adverse prognosis as an in dependent prognostic factor. Conclusions. Identification of genetic subgroups contributes to the molecular epidemi ology and biology of AML worldwide, reflecting the profile of pediatric AML cases in Brazil.pt_BR
dc.publisherArchives of Medical Research-
dc.subjectPré-Escolarpt_BR
dc.subjectChild Preschoolpt_BR
dc.subjectBrasilpt_BR
dc.subjectBrazilpt_BR
dc.subjectPrognósticopt_BR
dc.subjectPrognosispt_BR
dc.subjectPediatriapt_BR
dc.subjectPediatricspt_BR
dc.subjectType I/IIpt_BR
dc.subjectMutaçãopt_BR
dc.subjectMutationpt_BR
dc.subjectTipagem Molecularpt_BR
dc.subjectMolecular Typingpt_BR
dc.subjectMarcadores Genéticospt_BR
dc.subjectGenetic Markerspt_BR
dc.titleMolecular Characterization of Pediatric Acute Myeloid Leukemia: Results of a Multicentric Study in Brazilpt_BR
dc.TypeArticlept_BR
Appears in Collections:Artigos de Periódicos da área de Pediatria



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