Gadopentetate dimeglumine (Gd-DTPA)-based dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is considered to be a useful method for characterizing the vascularity of tumors. However, detailed studies of experimental tumors comparing DCE-MRI-derived parametric images with images of the morphology and function of the microvascular network have not been reported. In this communication, we describe a novel MR-compatible mouse dorsal window chamber and report comparative DCE-MRI and intravital microscopy studies of A-07-GFP tumors xenografted to BALB/c nu/nu mice. Blood supply time (BST) images (i.e., images of the time from when arterial blood enters a tumor through the supplying artery until it reaches a vessel segment within the tumor) and morphologic images of the microvascular network were produced by intravital microscopy. Images of E.F (E is the initial extraction fraction of Gd-DTPA and F is perfusion) were produced by subjecting DCE-MRI series to Kety analysis. The E.F images mirrored the morphology (microvascular density) and the function (BST) of the microvascular networks well. Tumor regions showing high E.F values colocalized with tumor regions showing high microvascular density and low BST values. Significant correlations were found between E.F and microvascular density and between E.F and BST, both within and among tumors.
PurposeInterstitial fluid pressure (IFP) is highly elevated in many solid tumors. High IFP has been associated with low radiocurability and high metastatic frequency in human melanoma xenografts and with poor survival after radiation therapy in cervical cancer patients. Abnormalities in tumor vascular networks have been identified as an important cause of elevated tumor IFP. The aim of this study was to investigate the relationship between tumor IFP and the functional and morphological properties of tumor vascular networks.Materials and MethodsA-07-GFP and R-18-GFP human melanomas growing in dorsal window chambers in BALB/c nu/nu mice were used as preclinical tumor models. Functional and morphological parameters of the vascular network were assessed from first-pass imaging movies and vascular maps recorded after intravenous bolus injection of 155-kDa tetramethylrhodamine isothiocyanate-labeled dextran. IFP was measured in the center of the tumors using a Millar catheter. Angiogenic profiles of A-07-GFP and R-18-GFP cells were obtained with a quantitative PCR array.ResultsHigh IFP was associated with low growth rate and low vascular density in A-07-GFP tumors, and with high growth rate and high vascular density in R-18-GFP tumors. A-07-GFP tumors showed chaotic and highly disorganized vascular networks, while R-18-GFP tumors showed more organized vascular networks with supplying arterioles in the tumor center and draining venules in the tumor periphery. Furthermore, A-07-GFP and R-18-GFP cells differed substantially in angiogenic profiles. A-07-GFP tumors with high IFP showed high geometric resistance to blood flow due to high vessel tortuosity. R-18-GFP tumors with high IFP showed high geometric resistance to blood flow due to a large number of narrow tumor capillaries.ConclusionsHigh IFP in A-07-GFP and R-18-GFP human melanoma xenografts was primarily a consequence of high blood flow resistance caused by tumor-line specific vascular abnormalities.
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has been suggested to be a valuable method for characterizing the physiological microenvironment of tumors and thus a promising method for individualizing cancer treatment. The aim of this study was to test the hypothesis that valid parametric images of the tumor microenvironment can be obtained by pharmacokinetic analysis of DCE-MRI series. Cells of four human melanoma xenograft lines (A-07, D-12, R-18 and T-22) were used as preclinical models of human cancer. DCE-MRI was performed at 1.5 T at a spatial resolution of 0.23 x 0.47 x 2.0 mm(3) and a time resolution of 14 s. Gadolinium diethylene-triamine penta-acetic acid (Gd-DTPA) was used as contrast agent. The DCE-MRI data were analyzed on a voxel-by-voxel basis by using a pharmacokinetic model recommended for analysis of clinical DCE-MRI series. Parametric DCE-MR images were compared with tumor blood perfusion measured by the (86)Rb uptake method, and fractional volume of the extravascular extracellular space assessed by analysis of histological preparations. Parametric images reflecting tumor blood perfusion and fractional volume of the extravascular extracellular space were obtained. The numerical values of the DCE-MRI-derived parameters were not significantly different from the absolute values of tumor blood perfusion or fractional volume of the extravascular extracellular space in any of the tumor lines. This study shows that DCE-MRI can provide valid quantitative parametric images of the tumor microenvironment in preclinical cancer models and thus supports the suggestion that DCE-MRI may be developed to be a clinically useful method for individualization of microenvironment-based cancer treatment, a possibility that merits increased clinical interest.
Interstitial fluid pressure (IFP) has been shown to be an independent prognostic parameter for disease-free survival in cervical carcinoma patients treated with radiation therapy. However, the underlying mechanisms are not fully understood. The main aims of this study were to investigate whether tumor radiocurability may be associated with IFP and, if so, to identify possible mechanisms. Human melanoma xenografts transplanted intradermally or in window chamber preparations in BALB/c nu/nu mice were used as preclinical tumor models. Radiation dose resulting in 50% local tumor control was higher by a factor of 1.19 +/- 0.06 in tumors with IFP > or = 9 mm Hg than in tumors with IFP < or = 7 mm Hg. Tumor IFP was positively correlated to vessel segment length and vessel tortuosity and was inversely correlated to vessel density. Compared with tumors with low IFP, tumors with high IFP showed high resistance to blood flow, high frequency of Po(2) fluctuations, and high fractions of acutely hypoxic cells, whereas the fraction of radiobiologically hypoxic cells and the fraction of chronically hypoxic cells did not differ between tumors with high and tumors with low IFP. IFP showed a significant correlation to the fraction of acutely hypoxic cells, probably because both parameters were determined primarily by the microvascular resistance to blood flow. Therefore, the observed association between tumor radiocurability and IFP was most likely an indirect consequence of a strong relationship between IFP and the fraction of acutely hypoxic cells.
PurposeThe aggressiveness of pancreatic ductal adenocarcinoma (PDAC) is highly dependent on the level of differentiation and the composition of the stroma. In this preclinical study, we investigated the potential of diffusion-weighted magnetic resonance imaging (DW-MRI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) as noninvasive methods for providing information on the differentiation and the stroma of PDACs.MethodsXenografted tumors initiated from four PDAC cell lines (BxPC-3, Capan-2, MIAPaCa-2, and Panc-1) were included in the study. DW-MRI and DCE-MRI were carried out on a 7.05-T MR scanner, and tumor images of ADC (the apparent diffusion coefficient), Ktrans (the volume transfer constant of Gd-DOTA), and ve (the fractional distribution volume of Gd-DOTA) were produced. The level of differentiation and the amount and structure of collagen I and collagen IV were determined by examining histological preparations.ResultsDifferentiated tumors showed lower levels of collagen I and collagen IV than non-differentiated tumors. Significant correlations were found between ADC and ve, and both parameters differentiated clearly between collagen-rich non-differentiated tumors and differentiated tumors containing less collagen.ConclusionDifferentiated PDAC xenografts show higher ADC values and higher ve values than their non-differentiated counterparts. This observation supports the application of parametric MR images as tumor biomarkers in PDAC. Patients showing low values of ADC and ve most likely have non-differentiated tumors with extensive stroma and, hence, poor prognosis.Electronic supplementary materialThe online version of this article (doi:10.1186/s12967-016-0920-y) contains supplementary material, which is available to authorized users.
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