Metabolite profiling in retinoblastoma identifies novel clinicopathological subgroups

British Journal of Cancer
Sarah KoheChildren’s Cancer and Leukaemia Group

Abstract

Tumour classification, based on histopathology or molecular pathology, is of value to predict tumour behaviour and to select appropriate treatment. In retinoblastoma, pathology information is not available at diagnosis and only exists for enucleated tumours. Alternative methods of tumour classification, using noninvasive techniques such as magnetic resonance spectroscopy, are urgently required to guide treatment decisions at the time of diagnosis. High-resolution magic-angle spinning magnetic resonance spectroscopy (HR-MAS MRS) was undertaken on enucleated retinoblastomas. Principal component analysis and cluster analysis of the HR-MAS MRS data was used to identify tumour subgroups. Individual metabolite concentrations were determined and were correlated with histopathological risk factors for each group. Multivariate analysis identified three metabolic subgroups of retinoblastoma, with the most discriminatory metabolites being taurine, hypotaurine, total-choline and creatine. Metabolite concentrations correlated with specific histopathological features: taurine was correlated with differentiation, total-choline and phosphocholine with retrolaminar optic nerve invasion, and total lipids with necrosis. We have demonstrated that ...Continue Reading

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Citations

Jul 9, 2016·IEEE/ACM Transactions on Computational Biology and Bioinformatics·Zhen Qi, Eberhard O Voit
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Methods Mentioned

BETA
biopsy
NMR

Software Mentioned

Metabolite Pathway Analysis ( MetPA )
Mnova NMR
MetPA
SPSS
Metaboanalyst

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