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Non-invasive tumor genotyping using radiogenomic biomarkers, a systematic review and oncology-wide pathway analysis.
Jansen, Robin W; van Amstel, Paul; Martens, Roland M; Kooi, Irsan E; Wesseling, Pieter; de Langen, Adrianus J; Menke-Van der Houven van Oordt, Catharina W; Jansen, Bernard H E; Moll, Annette C; Dorsman, Josephine C; Castelijns, Jonas A; de Graaf, Pim; de Jong, Marcus C.
Afiliação
  • Jansen RW; Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.
  • van Amstel P; Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.
  • Martens RM; Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.
  • Kooi IE; Department of Clinical Genetics, VU University Medical Center, Amsterdam, The Netherlands.
  • Wesseling P; Department of Pathology, VU University Medical Center, Amsterdam, The Netherlands.
  • de Langen AJ; Department of Pathology, Princess Máxima Center for Pediatric Oncology and University Medical Center Utrecht, Utrecht, The Netherlands.
  • Menke-Van der Houven van Oordt CW; Department of Respiratory Diseases, VU University Medical Center, Amsterdam, The Netherlands.
  • Jansen BHE; Department of Medical Oncology, VU University Medical Center, Amsterdam, The Netherlands.
  • Moll AC; Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.
  • Dorsman JC; Department of Ophthalmology, VU University Medical Center, Amsterdam, The Netherlands.
  • Castelijns JA; Department of Clinical Genetics, VU University Medical Center, Amsterdam, The Netherlands.
  • de Graaf P; Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.
  • de Jong MC; Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.
Oncotarget ; 9(28): 20134-20155, 2018 Apr 13.
Article em En | MEDLINE | ID: mdl-29732009
ABSTRACT
With targeted treatments playing an increasing role in oncology, the need arises for fast non-invasive genotyping in clinical practice. Radiogenomics is a rapidly evolving field of research aimed at identifying imaging biomarkers useful for non-invasive genotyping. Radiogenomic genotyping has the advantage that it can capture tumor heterogeneity, can be performed repeatedly for treatment monitoring, and can be performed in malignancies for which biopsy is not available. In this systematic review of 187 included articles, we compiled a database of radiogenomic associations and unraveled networks of imaging groups and gene pathways oncology-wide. Results indicated that ill-defined tumor margins and tumor heterogeneity can potentially be used as imaging biomarkers for 1p/19q codeletion in glioma, relevant for prognosis and disease profiling. In non-small cell lung cancer, FDG-PET uptake and CT-ground-glass-opacity features were associated with treatment-informing traits including EGFR-mutations and ALK-rearrangements. Oncology-wide gene pathway analysis revealed an association between contrast enhancement (imaging) and the targetable VEGF-signalling pathway. Although the need of independent validation remains a concern, radiogenomic biomarkers showed potential for prognosis prediction and targeted treatment selection. Quantitative imaging enhanced the potential of multiparametric radiogenomic models. A wealth of data has been compiled for guiding future research towards robust non-invasive genomic profiling.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Systematic_reviews Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Systematic_reviews Idioma: En Ano de publicação: 2018 Tipo de documento: Article