Yaszemski, Michael J.

Chemically crosslinking GOa and CNTpega followed by in situ reduction fabricated a conductive rGOa–CNTpega–OPF hydrogel that strongly stimulated neurite growth.

AbstractScaffolds with porous structures are highly applicable for tissue engineering and regenerative medicine. In the present study, 3‐dimensional poly(propylene fumarate‐co‐caprolactone) [P(PF‐co‐CL)] scaffolds were fabricated from a P(PF‐co‐CL)–dioxane‐water ternary system through thermally induced phase separation (TIPS). Cloud points of P(PF‐co‐CL) in dioxane‐water solutions increased with increased solute concentration, but increased dioxane composition decreased cloud point. Among 3 polymer concentrations (4, 8, and 12 wt%), 8 wt% P(PF‐co‐CL) scaffolds exhibited the best pore interconnectivity, with large, regular sized pores. Scaffolds were formed in 3 solutions with different dioxane‐water ratios (74/26, 78/22, and 82/18 wt/wt); the 78/22 wt/wt scaffold had finger‐shaped patterns with better interconnectivity than scaffolds from the other two ratios. Higher dioxane‐water ratios resulted in a larger contact angle and thus less wettability for the fabricated scaffold, while scaffolds fabricated from higher concentrations of P(PF‐co‐CL) or high dioxane‐water ratios had better biomineralization after soaking in simulated body fluid. In vitro cell viability testing showed the scaffolds had good biocompatibility with both bone and nerve cells. The results indicate that the polymer concentration and solvents ratio significantly affect the formation of porous structures, and optimum processing parameters were found to be 8% polymer concentration and 22% to 24% water content. These porous P(PF‐co‐CL) scaffolds fabricated via TIPS may be useful in various tissue engineering applications © 2016 Wiley Periodicals, Inc. J Biomed Mater Res Part A: 105A: 226–235, 2017.

Quantitative computed tomography-based finite-element analysis (QCT/FEA) has become increasingly popular in an attempt to understand and possibly reduce vertebral fracture risk. It is known that scanning acquisition settings affect Hounsfield units (HU) of the CT voxels. Material properties assignments in QCT/FEA, relating HU to Young's modulus, are performed by applying empirical equations. The purpose of this study was to evaluate the effect of QCT scanning protocols on predicted stiffness values from finite-element models. One fresh frozen cadaveric torso and a QCT calibration phantom were scanned six times varying voltage and current and reconstructed to obtain a total of 12 sets of images. Five vertebrae from the torso were experimentally tested to obtain stiffness values. QCT/FEA models of the five vertebrae were developed for the 12 image data resulting in a total of 60 models. Predicted stiffness was compared to the experimental values. The highest percent difference in stiffness was approximately 480% (80 kVp, 110 mAs, U70), while the lowest outcome was ∼1% (80 kVp, 110 mAs, U30). There was a clear distinction between reconstruction kernels in predicted outcomes, whereas voltage did not present a clear influence on results. The potential of QCT/FEA as an improvement to conventional fracture risk prediction tools is well established. However, it is important to establish research protocols that can lead to results that can be translated to the clinical setting.

Systematic review of experimental and clinical data on the use of curcumin in the treatment of osteosarcoma is presented. The current status of curcumin’s therapeutic potential against bone cancer is analyzed in regard to using polymeric micelles (including recently developed invertible, responsive, micelles) as a platform for curcumin delivery to treat osteosarcoma. The potential of micellar assemblies from responsive macromolecules in a controlled delivery of curcumin to osteosarcoma cells, and the release using a new inversion mechanism is revealed.

The spine is the most common site for secondary bone metastases, and clinical management for fractures is based on size and geometry of the defect. About 75% of the bone needs to be damaged before lesions are detectable, so clinical tools should measure changes in both geometry and material properties. We have developed an automated, user-friendly, Spine Cancer Assessment (SCA) image-based analysis method that builds on a platform designed for clinical practice providing failure characteristics of vertebrae. The objectives of this study were to (1) validate SCA predictions with experimental failure load outcomes; (2) evaluate the planning capabilities for prophylactic vertebroplasty procedures; and (3) investigate the effect of computed tomography (CT) protocols on predicted failure loads. Twenty-one vertebrae were randomly divided into two groups: (1) simulated defect without treatment (negative control) [ n = 9] and (2) with treatment [ n = 12]. Defects were created and a polymeric biomaterial was injected into the vertebrae in the treated-defect group. Spines were scanned, reconstructed with two algorithms, and analyzed for fracture loads. To virtually plan for prophylactic intervention, vertebrae with empty lesions were simulated to be augmented with either poly(methyl methacrylate) (PMMA) or a novel bone replacement copolymer, poly(propylene fumarate-co-caprolactone) [P(PF-co-CL)]. Axial rigidities were calculated from the CT images. Failure loads, determined from the cross section with the lowest axial rigidity, were compared with experimental values. Predicted loads correlated well with experimental outcomes ( R 2 = 0.73, p < 0.0001). Predictions from negative control specimens highly correlated with measured values ( R 2 = 0.90, p < 0.0001). Although a similar correlation was obtained using both algorithms, the smooth reconstruction (B30) tended to underestimate predicted failure loads by ∼50% compared with the ∼10% underestimate of the sharp reconstruction (B70). Percent increase in failure loads after virtual vertebroplasty showed a higher increase in samples with PMMA compared with those with copolymer. The SCA method developed in this study calculated failure loads from quantitative computed tomography scans in vertebrae with simulated metastatic lytic defects, with or without treatment, facilitating clinical applicability and providing more reliable guidelines for physicians to select appropriate treatment options. Furthermore, the analysis could accommodate augmentation planning procedures that aimed to determine the optimum material that would increase vertebral body failure load.

Abstract Purpose: The objective of this study is to characterize the function of porcupine inhibitors in osteosarcoma and to determine the contribution of the porcupine enzyme to osteosarcoma cell growth. Each year, approximately 1000 children and adults in the United States are diagnosed with osteosarcoma (OS), the most common primary bone malignancy among children. Although overall survival is relatively good in OS patients, the need for aggressive surgery (often involving limb amputation) to prevent relapse significantly impacts the quality of life of survivors. OS has been well characterized to display aberrantly activated Wnt signaling. The necessity for active Wnt signaling pathways in OS patient tissue and cultured cell lines has been well established. Recently, a group of Wnt pathway inhibitors targeting the porcupine enzyme have been developed and used in treatment of pancreatic adenocarcinoma, BRAF mutant colorectal cancer and other tumors reported to exhibit aberrant Wnt signaling. Porcupine is a membrane bound O-acyl transferase which lipid-modifies the Wnt proteins prior to their secretion. This processing step regulates their release and paracrine or autocrine activity in stimulating both canonical and non-canonical Wnt signaling. These drugs have proven effective in initial studies which have applied them in vitro, in mouse models of Wnt- dependent cancers, and a recent phase 1 clinical trial. Our data show the first report of increased porcupine enzyme expression in human OS in vitro cell lines, compared to primary human osteoblasts. These findings have been confirmed by quantitative real-time PCR (qRT-PCR) analysis of PPN mRNA expression. Surprisingly, we found that inhibition of the porcupine enzyme with newly developed porcupine inhibitors significantly increased OS cell viability. While we observed only slight decreases in canonical Wnt pathway signaling with PPN inhibitor treatment (as measured by TOPflash reporter assay), we found that both NFATc1 and Cyclin D1 mRNA expression was upregulated. These data indicate that treatment with PPN inhibitors may stimulate a pro-tumorigenic response that is mediated primarily through non-canonical Wnt signaling. Continuing work is being done to establish the mechanism of action of these drugs, as well as unique roles that PPN-mediated non-canonical Wnt signaling may play in promoting OS cell growth. In conclusion, this study is aimed to provide insight into the function of a group of novel Wnt-targeting therapies in osteosarcoma, a disease which is well established to exhibit aberrant Wnt signaling. We aim to utilize these insights to rationally exploit Wnt signaling as a therapeutic measure for osteosarcoma. Methods: Western blotting was performed according to accepted methods using BioRad Criterion™ 10% gel and an antibody polyclonal to known porcupine splice variants (anti-rabbit) obtained from GeneTex. Cell viability was determined by CellTiter 96 ® (Promega) proliferation assay. C59 (Novartis) was purchased from Cayman Chemical and reconstituted in DMSO. Quantitative PCR performed using an Applied Biosystems ABI 7900HT Fast Real Time PCR system. FuGENE® HD utilized for transfection of TOPflash components. Citation Format: Carl T. Gustafson, Avudai Maran, Michael J. Yaszemski. Porcupine inhibition stimulates osteosarcoma growth and non-canonical Wnt signaling. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Pediatric Cancer Research: From Mechanisms and Models to Treatment and Survivorship; 2015 Nov 9-12; Fort Lauderdale, FL. Philadelphia (PA): AACR; Cancer Res 2016;76(5 Suppl):Abstract nr B11.