Publications by authors named "E D Aarnes"

Background And Purpose: The biology behind individual hypoxia levels in patient tumors is poorly understood. Here, we used radiogenomics to identify associations between magnetic resonance imaging (MRI)-based hypoxia levels and biological processes derived from gene expression data in prostate cancer.

Materials And Methods: For 85 prostate cancer patients, MRI-based hypoxia images were constructed by combining diffusion-weighted images reflecting oxygen consumption and supply.

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Many patients with locally advanced cervical cancer experience recurrence within the radiation field after chemoradiotherapy. Biomarkers of tumor radioresistance are required to identify patients in need of intensified treatment. Here, the biomarker potential of miR-200 family members was investigated in this disease.

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Little is known about the transport mechanism of -3-18F-fluorocyclobutane-1-carboxylic acid (FACBC) into prostate tumors. Because of the structural similarity to natural amino acids, FACBC is anticipated to cross the cell membrane via amino acid transporters, and preclinical studies have suggested that ASCT2, LAT1 and SNAT2 are involved. In 16 patients with intermediate or high-risk prostate cancer we matched the FACBC uptake from clinical PET to the location of punch biopsies from resected prostatectomy specimens and compared maximum standardized uptake value (SUVmax) with the gene expression of 40 amino acid transporters.

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Tumor hypoxia levels range from mild to severe and have different biological and therapeutical consequences but are not easily assessable in patients. Here we present a method based on diagnostic dynamic contrast enhanced (DCE) MRI that reflects a continuous range of hypoxia levels in patients with tumors of cervical cancer. Hypoxia images were generated using an established approach based on pixel-wise combination of DCE-MRI parameters and , representing oxygen consumption and supply, respectively.

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Background: Emerging biomarkers from medical imaging or molecular characterization of tumour biopsies open up for combining the two and exploiting their synergy in treatment planning of cancer patients. We generated a paired data set of imaging- and gene-based hypoxia biomarkers in cervical cancer, appraised the influence of intratumour heterogeneity in patient classification, and investigated the benefit of combining the methodologies in prediction of chemoradiotherapy failure.

Methods: Hypoxic fraction from dynamic contrast enhanced (DCE)-MR images and an expression signature of six hypoxia-responsive genes were assessed as imaging- and gene-based biomarker, respectively in 118 patients.

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