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Title: Integrative analysis of DCE-MRI and gene expression profiles in construction of a gene classifier for assessment of hypoxia-related risk of chemoradiotherapy failure in cervical cancer      
dateReleased:
03-29-2016
description:
We have previously identified a prognostic 31-gene expression signature in locally advanced cervical cancer that is associated with tumor hypoxia and reflected by the dynamic contrast enhanced magnetic resonance (DCE-MR) image parameter ABrix. To bring the signature closer to clinical use, we here aimed to construct a classifier with key signature genes that retained an association to ABrix and separated the patients into groups with different hypoxia status and chemoradiotherapy outcome. A training cohort of 42 patients and two independent cohorts of 108 and 131 patients were included. Gene expression data were generated from tumor biopsies by two Illumina array generations (WG6, HT12), and for a subset of 74 patients, by the RT-qPCR platform. The amplitude ABrix in the Brix pharmacokinetic model was extracted from DCE-MR images of 64 patients and used as a measure of hypoxia. Different classifiers were constructed in the training cohort. By evaluating their ability to separate the patients correctly according to ABrix, a 6-gene classifier with strong correlation to ABrix was identified. In validation analyses, the classifier separated the patients into two groups with 5-years progression-free survival probabilities of 85% and 60%. Both the prognostic value and ABrix-association were confirmed in an independent cohort, and robustness across array generations and assay platforms was demonstrated. The prognostic value was independent of existing clinical markers. A robust, prognostic hypoxia classifier has been constructed, and might be used alone or combined with DCE-MR imaging to achieve an early indication of a patient’s risk of failure and allocate high risk patients to adjuvant hypoxia-targeted therapy. Total 150 patient and 2 cell line samples were analysed with Illumina WG-6, while 136 patient and 6 cell line samples were analyzied with Illumina HT-12.
privacy:
not applicable
aggregation:
instance of dataset
ID:
E-GEOD-72723
refinement:
raw
alternateIdentifiers:
72723
keywords:
functional genomics
dateModified:
04-03-2016
availability:
available
types:
gene expression
name:
Homo sapiens
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-72723/E-GEOD-72723.raw.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-72723/E-GEOD-72723.processed.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE72723
storedIn:
Gene Expression Omnibus
qualifier:
not compressed
format:
HTML
accessType:
landing page
primary:
true
authentication:
none
authorization:
none
abbreviation:
EBI
homePage: http://www.ebi.ac.uk/
ID:
SCR:004727
name:
European Bioinformatics Institute
homePage: https://www.ebi.ac.uk/arrayexpress/
ID:
SCR:002964
name:
ArrayExpress

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