Metabolite profiling in retinoblastoma identifies novel clinicopathological subgroups.

ABSTRACT:

Background

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.

Methods

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 w

SUBMITTER: Kohe S 

PROVIDER: S-EPMC4647873 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature