Browsing Academic Department of Radiation Oncology - ADRO by Subjects
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Blood flow and Vd (water): both biomarkers required for interpreting the effects of vascular targeting agents on tumor and normal tissue.Positron emission tomography studies with oxygen-15-labeled water provide in vivo quantitative tissue perfusion variables-blood flow and fractional volume of distribution of water [V(d) (water)]. To investigate the relationship between perfusion variables and the effect of vascular-targeting agents on vasculature, we measured tissue perfusion in tumors, spleen, kidney, and liver before and after treatment with combretastatin-A4-phosphate, a combination of nicotinamide and carbogen (N/C), and interferon (IFN). We observed that mean tumor blood flow and V(d) (water) was lower than in kidney, liver, and spleen at baseline. Blood flow and V(d) (water) were related in tumor (r = 0.62; P = 0.004) at baseline, but not in other normal tissues evaluated, where minimal variations in V(d) (water) were observed over a wide range of blood flow. Despite the relationship between blood flow and V(d) (water) in tumors before intervention, vascular-targeting agent-induced changes in these perfusion variables were not correlated. In contrast, changes in blood flow and V(d) (water) correlated in kidney and spleen after N/C and in kidney after combretastatin-A4-phosphate. The close relation between blood flow and V(d) (water) in tumors but not normal tissue may reflect barriers to fluid exchange in tumors because of necrosis and/or increased interstitial fluid pressure and underlies the importance and interdependence of these positron emission tomography perfusion variables under these conditions. As blood flow and V(d) (water) signify different aspects of tissue perfusion, the differential effects of interventions on both variables, flow and V(d) (water), should therefore be reported in future studies.
No relationship between 18F-fluorodeoxyglucose positron emission tomography and expression of Glut-1 and -3 and hexokinase I and II in high-grade glioma.The purpose of this study was to compare glucose metabolism, measured using 18F-fluorodeoxyglucose positron emission tomography ([18F]FDG-PET), with the expression of Glut-1 and -3 and hexokinase I (Hex I) and II in high-grade glioma. The retrospective study involved 27 patients with WHO classification grade III and IV glioma, with either newly diagnosed or recurrent tumours. Patients underwent dynamic and static [18F]FDG-PET to glucose metabolic rate (MRGlu) and standardised uptake value (SUV), respectively. Tumour biopsies were obtained and stained using immunohistochemistry for the expression of Glut-1, -3, Hex I and II. Relationships between variables were studied using Spearman's rank correlation test. Results showed that the expression of Glut-1, Glut-3, Hex I and Hex II varied between and within the tumour samples. The mean of MRGlu was 0.2 (range 0.09-0.25) micromol/min/ml and that of SUV was 4.2 (range 3.2-5.2). There were no significant relationships among the tumour expression of any of the proteins studied with either MRGlu or SUV (p>0.21 for all). In conclusion, the lack of relationship between the immunohistochemical expression of Glut-1, -3, Hex I or II and glucose metabolism measured using [18F]FDG-PET in patients with high-grade glioma may be due to the tissue heterogeneity and presence of necrosis in high-grade tumours.
Use of multiple biological markers in radiotherapy-treated head and neck cancer.OBJECTIVE: Management of patients with head and neck squamous cell carcinoma is often based on clinical parameters, with little appreciation of the underlying tumour biology. Single biological marker studies fail to acknowledge the complexity of these tumours. Our aim was to define a profile of biological markers associated with outcome. DESIGN: This retrospective study involved consecutive patients with oropharyngeal squamous cell carcinoma treated with primary radiotherapy between 1996 and 2001. Pre-treatment biopsies were used to study the immunohistochemical expression of nine biological markers. Markers were chosen to reflect biologically relevant pathways. RESULTS: Following analysis of nine markers, a profile of two markers was derived (carbonic anhydrase 9 and major vault protein), the co-expression of which conferred a significantly poor probability of locoregional control. The prognostic effect of these biomarkers in combination was greater than their effect individually. CONCLUSION: Biomarker profiles can be established which highlight large differences in locoregional control. Identifying tumours that express both carbonic anhydrase 9 and major vault protein may facilitate patient selection for more aggressive treatment.