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Pathol Res Pract ; 207(11): 701-6, 2011 Nov 15.
Artigo em Inglês | MEDLINE | ID: mdl-22024151

RESUMO

Prognostic biomarkers for GIST are under investigation. The aim of this study was to assess whether exon 11 mutations, Ki67, and p16(INK4A) are predictors of prognosis in GIST. Consecutive GIST cases (n=84) had their specimens evaluated for exon 11 mutations and expression of Ki67 and p16(INK4A). Surgical cases were categorized according to NIH and Miettinen's classification, and survival was analyzed from hospital database. GISTs were predominately gastric (45%) and with spindle cell morphology (74%). The risk category was very low or low in 28%, intermediate in 23%, and high in 49%. Exon 11 mutation was identified in 29 (48%) out of 60 cases studied. There were 12 point mutations, 10 deletions, 4 duplications, and 3 double mutations. A third of GISTs had either high Ki67 index (>3%) or negativity for p16(INK4A). In multivariate analysis, independent predictors of mortality were Ki67>3% (HR=7.3; P=0.036) and high mitotic index (HR=10.4; P=0.043). There was no association between exon 11 mutations and survival. This study suggests that Ki67>3% is an independent predictor of poor prognosis in patients with GIST. Exon 11 mutations and negativity for p16(INK4A) need further studies to address the prognostic value.


Assuntos
Inibidor p16 de Quinase Dependente de Ciclina/genética , Neoplasias Gastrointestinais/genética , Neoplasias Gastrointestinais/mortalidade , Tumores do Estroma Gastrointestinal/genética , Tumores do Estroma Gastrointestinal/mortalidade , Antígeno Ki-67/genética , Adulto , Idoso , Biomarcadores Tumorais/genética , Biomarcadores Tumorais/metabolismo , Inibidor p16 de Quinase Dependente de Ciclina/metabolismo , DNA de Neoplasias/genética , Éxons/genética , Feminino , Seguimentos , Neoplasias Gastrointestinais/metabolismo , Tumores do Estroma Gastrointestinal/metabolismo , Testes Genéticos , Humanos , Imuno-Histoquímica , Antígeno Ki-67/metabolismo , Masculino , Pessoa de Meia-Idade , Índice Mitótico , Análise Multivariada , Mutação , Prognóstico , Sensibilidade e Especificidade , Análise de Sequência de DNA , Taxa de Sobrevida
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