MR Imaging Features of Retinoblastoma: Association with Gene Expression Profiles.

Détails

ID Serval
serval:BIB_F6A4EC323897
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
MR Imaging Features of Retinoblastoma: Association with Gene Expression Profiles.
Périodique
Radiology
Auteur⸱e⸱s
Jansen R.W., de Jong M.C., Kooi I.E., Sirin S., Göricke S., Brisse H.J., Maeder P., Galluzzi P., van der Valk P., Cloos J., Eekhout I., Castelijns J.A., Moll A.C., Dorsman J.C., de Graaf P.
ISSN
1527-1315 (Electronic)
ISSN-L
0033-8419
Statut éditorial
Publié
Date de publication
08/2018
Peer-reviewed
Oui
Volume
288
Numéro
2
Pages
506-515
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
Purpose To identify associations between magnetic resonance (MR) imaging features and gene expression in retinoblastoma. Materials and Methods A retinoblastoma MR imaging atlas was validated by using anonymized MR images from referral centers in Essen, Germany, and Paris, France. Images were from 39 patients with retinoblastoma (16 male and 18 female patients [the sex in five patients was unknown]; age range, 5-90 months; inclusion criterion: pretreatment MR imaging). This atlas was used to compare MR imaging features with genome-wide messenger RNA (mRNA) expression data from 60 consecutive patients obtained from 1995 to 2012 (35 male patients [58%]; age range, 2-69 months; inclusion criteria: pretreatment MR imaging, genome-wide mRNA expression data available). Imaging pathway associations were analyzed by means of gene enrichment. In addition, imaging features were compared with a predefined gene expression signature of photoreceptorness. Statistical analysis was performed with generalized linear modeling of radiology traits on normalized log2-transformed expression values. P values were corrected for multiple hypothesis testing. Results Radiogenomic analysis revealed 1336 differentially expressed genes for qualitative imaging features (threshold P = .05 after multiple hypothesis correction). Loss of photoreceptorness gene expression correlated with advanced stage imaging features, including multiple lesions (P = .03) and greater eye size (P < .001). The number of lesions on MR images was associated with expression of MYCN (P = .04). A newly defined radiophenotype of diffuse-growing, plaque-shaped, multifocal tumors displayed overexpression of SERTAD3 (P = .003, P = .049, and P = .06, respectively), a protein that stimulates cell growth by activating the E2F network. Conclusion Radiogenomic biomarkers can potentially help predict molecular features, such as photoreceptorness loss, that indicate tumor progression. Results imply a possible role for radiogenomics in future staging and treatment decision making in retinoblastoma.
Mots-clé
Child, Preschool, Female, Genes, Retinoblastoma/genetics, Humans, Infant, Magnetic Resonance Imaging/methods, Male, Reproducibility of Results, Retina/diagnostic imaging, Retinal Neoplasms/diagnostic imaging, Retinal Neoplasms/genetics, Retinoblastoma/diagnostic imaging, Retinoblastoma/genetics, Transcriptome/genetics
Pubmed
Web of science
Création de la notice
03/05/2018 17:26
Dernière modification de la notice
20/08/2019 17:23
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