Autocrine Production of PDGF Stimulated by the Tenascin-C-Derived Peptide TNIIIA2 Induces Hyper-Proliferation in Glioblastoma Cells.

Expression level of tenascin-C is closely correlated to poor prognosis in glioblastoma patients, while the substantial role of tenascin-C responsible for aggressive progression in glioblastoma cells has not been clarified. We previously found that peptide TNIIIA2, which is derived from the tumor-associated tenascin-C variants, has the ability to promote cell adhesion by activating ß1-integrins. Our recent study demonstrated that potentiated activation of integrin α5ß1 by TNIIIA2 causes not only a dysregulated proliferation in a platelet-derived growth factor (PDGF)-dependent manner, but also disseminative migration in glioblastoma cells. Here, we show that TNIIIA2 enhances the proliferation in glioblastoma cells expressing PDGF-receptorß, even without exogenous PDGF. Mechanistically, TNIIIA2 induced upregulated expression of PDGF, which in turn stimulated the expression of tenascin-C, a parental molecule of TNIIIA2. Moreover, in glioblastoma cells and rat brain-derived fibroblasts, tenascin-C upregulated matrix metalloproteinase-2, which has the potential to release TNIIIA2 from tenascin-C. Thus, it was shown that autocrine production of PDGF triggered by TNIIIA2 functions to continuously generate a functional amount of PDGF through a positive spiral loop, which might contribute to hyper-proliferation in glioblastoma cells. TNIIIA2 also enhanced in vitro disseminative migration of glioblastoma cells via the PKCα signaling. Collectively, the tenascin-C/TNIIIA2 could be a potential therapeutic target for glioblastoma.

Aggressive Progression in Glioblastoma Cells through Potentiated Activation of Integrin α5ß1 by the Tenascin-C-Derived Peptide TNIIIA2.

Tenascin-C is a member of the matricellular protein family, and its expression level is correlated to poor prognosis in cancer, including glioblastoma, whereas its substantial role in tumor formation and malignant progression remains controversial. We reported previously that peptide TNIIIA2 derived from the cancer-associated alternative splicing domain of tenascin-C molecule has an ability to activate ß1-integrin strongly and to maintain it for a long time. Here, we demonstrate that ß1-integrin activation by TNIIIA2 causes acquisition of aggressive behavior, dysregulated proliferation, and migration, characteristic of glioblastoma cells. TNIIIA2 hyperstimulated the platelet-derived growth factor-dependent cell survival and proliferation in an anchorage-independent as well as -dependent manner in glioblastoma cells. TNIIIA2 also strongly promoted glioblastoma multiforme cell migration, which was accompanied by an epithelial-mesenchymal transition-like morphologic change on the fibronectin substrate. Notably, acquisition of these aggressive properties by TNIIIA2 in glioblastoma cells was abrogated by peptide FNIII14 that is capable of inducing inactivation in ß1-integrin activation. Moreover, FNIII14 significantly inhibited tumor growth in a mouse xenograft glioblastoma model. More importantly, FNIII14 sensitized glioblastoma cells to temozolomide via downregulation of O6-methylguanine-DNA methyltransferase expression. Consequently, FNIII14 augmented the antitumor activity of temozolomide in a mouse xenograft glioblastoma model. Taken altogether, the present study provides not only an interpretation for the critical role of tenascin-C/TNIIIA2 in aggressive behavior of glioblastoma cells, but also an important strategy for glioblastoma chemotherapy. Inhibition of the tenascin-C/ß1-integrin axis may be a therapeutic target for glioblastoma, and peptide FNIII14 may represent a new approach for glioblastoma chemotherapy. SIGNIFICANCE: These findings provide a proposal of new strategy for glioblastoma chemotherapy based on integrin inactivation.

A robotic C-arm cone beam CT system for image-guided proton therapy: design and performance.

OBJECTIVE: A ceiling-mounted robotic C-arm cone beam CT (CBCT) system was developed for use with a 190° proton gantry system and a 6-degree-of-freedom robotic patient positioner. We report on the mechanical design, system accuracy, image quality, image guidance accuracy, imaging dose, workflow, safety and collision-avoidance. METHODS: The robotic CBCT system couples a rotating C-ring to the C-arm concentrically with a kV X-ray tube and a flat-panel imager mounted to the C-ring. CBCT images are acquired with flex correction and maximally 360° rotation for a 53 cm field of view. The system was designed for clinical use with three imaging locations. Anthropomorphic phantoms were imaged to evaluate the image guidance accuracy. RESULTS: The position accuracy and repeatability of the robotic C-arm was high (<0.5 mm), as measured with a high-accuracy laser tracker. The isocentric accuracy of the C-ring rotation was within 0.7 mm. The coincidence of CBCT imaging and radiation isocentre was better than 1 mm. The average image guidance accuracy was within 1 mm and 1° for the anthropomorphic phantoms tested. Daily volumetric imaging for proton patient positioning was specified for routine clinical practice. CONCLUSION: Our novel gantry-independent robotic CBCT system provides high-accuracy volumetric image guidance for proton therapy. Advances in knowledge: Ceiling-mounted robotic CBCT provides a viable option than CT on-rails for partial gantry and fixed-beam proton systems with the added advantage of acquiring images at the treatment isocentre.

A novel mechanism underlying the basic defensive response of macrophages against Mycobacterium infection.

Following inhalation of Mycobacterium tuberculosis, including bacillus Calmette-Guérin (BCG), pathogens enter and grow inside macrophages by taking advantage of their phagocytic mechanisms. Macrophages often fail to eliminate intracellular M. tuberculosis, leading to the induction of host macrophage death. Despite accumulating evidence, the molecular mechanisms underlying M. tuberculosis infection-induced cell death remain controversial. In this study, we show the involvement of two distinct pathways triggered by TLR2 and ß2 integrin in BCG infection-induced macrophage apoptosis. First, BCG infection induced activation of ERK1/2, which in turn caused phosphorylation/activation of the proapoptotic protein Bim in mouse macrophage-like Raw 264.7 cells. BCG-infected Raw cells treated with U0126, an MEK/ERK inhibitor, led to the suppression of Bim phosphorylation alongside a remarkable increase in the number of viable macrophages. Small interfering RNA-mediated knockdown of Bim rescued the macrophages from the apoptotic cell death induced by BCG infection. Stimulation with Pam3CSK, a TLR2 agonist, induced macrophage apoptosis with a concomitant increase in the phosphorylation/activation of MEK/ERK and Bim. These observations indicate the important role of the TLR2/MEK/ERK/Bim pathway in BCG infection-induced macrophage apoptosis. Second, we used the ß2 integrin agonists C3bi and fibronectin to show that the ß2 integrin-derived signal was involved in BCG infection-induced apoptosis, independent of MEK/ERK activation. Interestingly, latex beads coated with Pam3CSK and C3bi were able to induce apoptosis in macrophages to the same extent and specificity as that induced by BCG. Taken together, two distinct pattern-recognition membrane receptors, TLR2 and ß2 integrin, acted as triggers in BCG infection-induced macrophage apoptosis, in which MEK/ERK activation played a crucial role following the engagement of TLR2.

A metabolomics-based approach for predicting stages of chronic kidney disease.

Chronic kidney disease (CKD) is a major epidemiologic problem and a risk factor for cardiovascular events and cerebrovascular accidents. Because CKD shows irreversible progression, early diagnosis is desirable. Renal function can be evaluated by measuring creatinine-based estimated glomerular filtration rate (eGFR). This method, however, has low sensitivity during early phases of CKD. Cystatin C (CysC) may be a more sensitive predictor. Using a metabolomic method, we previously identified metabolites in CKD and hemodialysis patients. To develop a new index of renal hypofunction, plasma samples were collected from volunteers with and without CKD and metabolite concentrations were assayed by quantitative liquid chromatography/mass spectrometry. These results were used to construct a multivariate regression equation for an inverse of CysC-based eGFR, with eGFR and CKD stage calculated from concentrations of blood metabolites. This equation was able to predict CKD stages with 81.3% accuracy (range, 73.9-87.0% during 20 repeats). This procedure may become a novel method of identifying patients with early-stage CKD.

Metabolomic analysis of human plasma from haemodialysis patients.

BACKGROUND: Urea and creatinine are widely used as biomarkers for disease. However, these parameters have been criticized as markers for several reasons. Thus, we conducted this study to identify novel biomarkers that can be used as alternatives to urea and creatinine to estimate the adequate dialysis dose by metabolomic analyses of plasma samples from patients undergoing haemodialysis. MATERIAL AND METHODS: Liquid chromatography-electrospray ionization (ESI)-time-of-flight mass spectrometry (MS) was used to analyse low molecular weight molecules present in the plasma samples of 10 patients with end-stage renal disease (ESRD) who were being treated with haemodialysis, and in 16 healthy subjects. RESULTS: In plasma samples obtained after haemodialysis, the relative quantities of 54 peaks were significantly (P < 0·05) decreased when compared with those in the plasma before haemodialysis. The candidate biomarkers were allocated to three groups. Molecules in Group A improved completely with a large variance, molecules in Group B improved partially but with a large variance, and molecules in Group C improved partially with low variance after haemodialysis. Small cohort validation study consisting of the patients with ESRD undergoing haemodialysis indicates that three candidate biomarkers in Group C would be a very useful marker to estimate adequate haemodialysis dose. CONCLUSIONS: 1-Methylinosine and two unknown molecules whose m/z at ESI-positive mode are 257·1033 and 413·1359 were found as effective candidate biomarkers to estimate adequate haemodialysis dose, which has to be confirmed in prospective studies.