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Identification of biomarkers for pseudo and true progression of GBM based on radiogenomics study.
Qian, Xiaohua; Tan, Hua; Zhang, Jian; Liu, Keqin; Yang, Tielin; Wang, Maode; Debinskie, Waldemar; Zhao, Weilin; Chan, Michael D; Zhou, Xiaobo.
Afiliación
  • Qian X; Department of Radiology, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
  • Tan H; Department of Radiology, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
  • Zhang J; Department of Radiology, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
  • Liu K; Department of Radiology, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
  • Yang T; School of Life Science, Xi'an Jiaotong University, Xi'an, Shanxi 710049, China.
  • Wang M; The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, Shanxi 710061, China.
  • Debinskie W; Department of Radiation Oncology, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
  • Zhao W; Department of Radiology, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
  • Chan MD; Department of Radiation Oncology, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
  • Zhou X; Department of Radiology, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
Oncotarget ; 7(34): 55377-55394, 2016 Aug 23.
Article en En | MEDLINE | ID: mdl-27421136
The diagnosis for pseudoprogression (PsP) and true tumor progression (TTP) of GBM is a challenging task in clinical practices. The purpose of this study is to identify potential genetic biomarkers associated with PsP and TTP based on the clinical records, longitudinal imaging features, and genomics data. We are the first to introduce the radiogenomics approach to identify candidate genes for PsP and TTP of GBM. Specifically, a novel longitudinal sparse regression model was developed to construct the relationship between gene expression and imaging features. The imaging features were extracted from tumors along the longitudinal MRI and provided diagnostic information of PsP and TTP. The 33 candidate genes were selected based on their association with the imaging features, reflecting their relation with the development of PsP and TTP. We then conducted biological relevance analysis for 33 candidate genes to identify the potential biomarkers, i.e., Interferon regulatory factor (IRF9) and X-ray repair cross-complementing gene (XRCC1), which were involved in the cancer suppression and prevention, respectively. The IRF9 and XRCC1 were further independently validated in the TCGA data. Our results provided the first substantial evidence that IRF9 and XRCC1 can serve as the potential biomarkers for the development of PsP and TTP.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Glioblastoma / Genómica / Subunidad gamma del Factor 3 de Genes Estimulados por el Interferón / Proteína 1 de Reparación por Escisión del Grupo de Complementación Cruzada de las Lesiones por Rayos X Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Oncotarget Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Glioblastoma / Genómica / Subunidad gamma del Factor 3 de Genes Estimulados por el Interferón / Proteína 1 de Reparación por Escisión del Grupo de Complementación Cruzada de las Lesiones por Rayos X Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Oncotarget Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos
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