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Radiation is an integral part of cancer therapy. With the emergence of oncolytic vaccinia virus immunotherapy, it is important to study the combination of radiation and vaccinia virus in cancer therapy. In this study, we investigated the anti-tumor effect of and immune mechanisms underlying the combination of high-dose hypofractionated stereotactic body radiotherapy (SBRT) and oncolytic vaccinia virus in preclinical murine models. The combination enhanced the in vivo anti-tumor effect and increased the numbers of splenic CD4+Ki-67+ helper T lymphocytes and CD8+Ki-67+ cytotoxic T lymphocytes. Combinational therapy also increased tumor-infiltrating CD3+CD4+ helper T lymphocytes and CD3+CD8+ cytotoxic T lymphocytes, but decreased tumor-infiltrating regulatory T cells. In addition, SBRT combined with oncolytic vaccinia virus enhanced in vitro cell death, partly through necroptosis, and subsequent release of damage-associated molecular patterns (DAMPs), and shifted the macrophage M1/M2 ratio. We concluded that SBRT combined with oncolytic vaccinia virus can trigger tumor cell necroptosis and modify macrophages through the release of DAMPs, and then generate potent anti-tumor immunity and effects. Thus, combined therapy is potentially an important strategy for clinical cancer therapy.

Background/Purpose: Oral cancer patients who survive for more than 5 years are supposed to have a reduced local cancer recurrence rate and survive longer. This study evaluated whether oral cancer patients who survived for more than 5 years might have reduced rates of local cancer recurrence, development of the second or third primary oral cancer, or the late regional cervical lymph node metastasis. Methods: This study analyzed the clinical outcomes of 127 oral cancer patients (101 men and 26 women; mean age, 50.8 ± 12.1 years) who survived for more than 5 years after proper treatments of the initial primary oral cancers. Results: The 127 primary oral cancers included 117 squamous cell carcinomas (SCCs), 7 mucoepidermoid carcinomas, and 3 others. Of the 127 oral cancer patients who survived for more than 5 years, 47 survived for 5–9 years, 45 for 10–14 years, 22 for 15–19 years, 10 for 20–24 years, two for 25–29 years, and one for 30 years. Ten patients had local cancer recurrence 5.4 years–13.7 years, 12 patients had a second or a third primary oral cancer 3.6 years–17.2 years, and one mucoepidermoid carcinoma patient had a late regional cervical lymph node metastasis 11.9 years after total excision of the initial primary oral cancers. Conclusion: Oral cancer patients who survive for more than 5 years may still have local cancer recurrence, the second or third primary oral cancer, or the late regional cervical lymph node metastasis but with a reduced rate. Keywords: Oral cancer, Survival, Recurrence, Second primary oral cancer, Third primary oral cancer

Background The standard treatment for epithelial ovarian carcinoma (EOC) is surgery followed by platinum/paclitaxel-based chemotherapy, but the overall survival rate is poor. The purpose of this study was to investigate the therapeutic potential of chemotherapy combined with inhibition of B and T lymphocyte attenuator (BTLA) for clinical use to treat EOC. Methods Initially, we evaluated the potential application of chemotherapy combined with anti-BTLA antibody in an animal model. We then analyzed the distribution and regulation of BTLA expression on immunocytes in vitro. Finally, we examined the correlation between BTLA expression levels in cancerous tissues and prognosis in 254 EOC cases. Results The combination of chemotherapy and anti-BTLA antibody for inhibiting BTLA significantly reduced peritoneal tumor volume and extended survival in tumor-bearing mice. In addition, BTLA could be identified mostly on B lymphocytes, especially on CD19hi B cells, rather than on T lymphocytes and natural killer cells. Under regulation of interleukins 6 and 10, more BTLA+CD19hi B lymphocytes could be induced through AKT and STAT3 signaling pathways. Detectable BTLA expression in ovarian cancerous tissues was associated with worse disease-free and overall survivals of EOC patients. Conclusions BTLA detected in cancerous tissues can predict poor outcome of EOC patients. Inhibition of BTLA combined with chemotherapy can elevate immune activation and generate potent anti-tumor effects. Thus, the combination of chemotherapy and anti-BTLA antibody may hold potential clinical application for the treatment of EOC patients. Trial registration The Trial Registration Number was NCT00854399.

The role of chitinase-3-like protein 1 (CHI3L1) in ovarian cancer and the possible mechanisms were elucidated. CHI3L1 is a secreted glycoprotein and associated with inflammation, fibrosis, asthma, extracellular tissue remodeling and solid tumors. Our previous study showed CHI3L1 could be a potential prognostic biomarker for epithelial ovarian cancer and could protect cancer cells from apoptosis. Therefore, clinical data and quantitation of CHI3L1 of ovarian cancer patients, tumor spheroid formation, side-population assays, Aldefluor and apoptotic assays, ELISA, RT-PCR, immunoblotting and animal experiments were performed in two ovarian cancer cells lines, OVCAR3 and CA5171, and their CHI3L1-overexpressing and -knockdown transfectants. High expression of CHI3L1 was associated with poor outcome and chemoresistance in ovarian cancer patients. The mRNA expression of CHI3L1 in CA5171 ovarian cancer stem-like cells was 3-fold higher than in CA5171 parental cells. CHI3L1 promoted the properties of ovarian cancer stem-like cells including generating more and larger tumor spheroids and a higher percentage of ALDH+ in tumor cells and promoting resistance to cytotoxic drug-induced apoptosis. CHI3L1 could induce both the Akt (essential) and Erk signaling pathways, and then enhance expression of β-catenin followed by SOX2, and finally promote tumor spheroid formation and other properties of ovarian cancer stem-like cells. OVCAR3 CHI3L1-overexpressing transfectants were more tumorigenic in vivo, whereas CA5171 CHI3L1-knockdown transfectants were not tumorigenic in vivo. CHI3L1 critically enhances the properties of ovarian cancer stem-like cells. CHI3L1 or CHI3L1-regulated signaling pathways and molecules could be potential therapeutic targets in ovarian cancer.

We propose CHI3L1 as a prognostic biomarker for patients with epithelial ovarian carcinoma (EOC) and also suggest possible biological functions of CHI3L1. We measured CHI3L1 expression with quantitative real time-polymerase chain reaction (qRT-PCR) in 180 women with EOC and evaluated correlations between CHI3L1 expression, clinicopathological characteristics, and the outcomes of the patients. The expression of CHI3L1 was higher in cancerous tissues than in normal tissues. The expression of CHI3L1 was also higher in patients with a serous histological type, advanced stage, and chemoresistance. Patients with high CHI3L1 expression had a shorter progression-free survival (p < 0.001) and overall survival (p < 0.001). Patients with high CHI3L1 expression also had a high risk of recurrence (p < 0.001) and death (p < 0.001). In vitro studies showed that CHI3L1 up-regulated the expression of anti-apoptotic Mcl-1 protein and hampered paclitaxel-induced apoptosis of ovarian cancer cells. These results suggest that CHI3L1 shows potential as a prognostic biomarker for EOC. CHI3L1 may promote chemoresistance via inhibition of drug-induced apoptosis by up-regulating Mcl-1.

Aside from tumor cells, ovarian cancer-related ascites contains the immune components. The aim of this study was to evaluate whether a combination of clinical and immunological parameters can predict survival in patients with ovarian cancer. Ascites specimens and medical records from 144 ovarian cancer patients at our hospital were used as the derivation group to select target clinical and immunological factors to generate a risk-scoring system to predict patient survival. Eighty-two cases from another hospital were used as the validation group to evaluate this system. The surgical status and expression levels of interleukin 17a (IL17a) and IL21 in ascites were selected for the risk-scoring system in the derivation group. The areas under the receiver operating characteristic (AUROC) curves of the overall score for disease-free survival (DFS) of the ovarian cancer patients were 0.84 in the derivation group, 0.85 in the validation group, and 0.84 for all the patients. The AUROC curves of the overall score for overall survival (OS) of cases were 0.78 in the derivation group, 0.76 in the validation group, and 0.76 for all the studied patients. Good correlations between overall risk score and survival of the ovarian cancer patients were demonstrated by sub-grouping all participants into four groups (P for trend

Finite element analysis (FEA) software is utilized to simulate and evaluate a conventional steel resolver and a 3D printed resolver (material: acrylonitrile butadiene styrene). Moreover, the magnetic flux density distribution of the resolvers is presented by the FEA software. The performances of the resolvers are discussed in time domain and frequency domain. Furthermore, a test bench is set up to prove the capabilities of resolver system.

The ovarian cancer-associated ascites is an ideal material for evaluating the interaction between the host immune system and cancer cells in the tumor micro-environment. The aim of this study was to investigate whether the selected target cytokine expression levels in ascites could serve as an immune biomarker for predicting outcomes in ovarian cancer.Eighty-eight specimens of ovarian cancer-associated ascites were evaluated to select the target cytokine by a cytokine profiling kit. The 144 total samples were subsequently analyzed for this target cytokine. The correlation between the target cytokine and clinical characteristics was analyzed.Interferon-gamma (IFN-γ) was identified as the target cytokine. Higher levels of IFN-γ in the ascites of the tumor micro-environment were associated with advanced disease (p=0.012), higher tumor histological grading (p=0.004), and sub-optimal surgical status (p=0.040). By multivariate analysis, the adjusted hazard ratios (HRs) were 2.74 (95% confidence interval (CI) 1.85-4.05, p0.001) for disease-free survival (DFS) and 1.72 (95% CI 1.01-2.93, p=0.048) for overall survival (OS) for a 10-fold increase in IFN-γ concentration in the ascites. An inverse dose-response relationship between IFN-γ level and survival was also noted (Ptrend0.001 for DFS and Ptrend0.042 for OS).Patients with ovarian cancer and higher IFN-γ expression levels in cancer-associated ascites will have shorter DFS and OS. IFN-γ levels in the ascites may be a prognostic marker and a potential reference for immunotherapy targeting IFN-γ.

In this paper, a neural network and two-dimensional (2D) wavelet transform are applied to recognize partial discharge (PD) patterns on current transformers (CTs). To avoid the discrepancy between simulated results and real experimental data, we adopted seven cast-resin CTs that were purposely fabricated with various insulation defects as the PD patterns collected samples to actually emulate the various defects incurred often during their production. All measurements are taken in a shielded lab; the commercial TE571 PD detector is adopted to measure PD patterns to ensure the reliability of the PD signals. Next, we extract the patterns' features via a 2D wavelet transform and use the features as the training set of a backpropagation neural network (BNN) to construct the recognition system for CTs' PD patterns. Finally, we add random noises to the measured PD signals to emulate the field diagnosis under a high-noise environment. The study results indicate that, under a simulated noise magnitude of 30 pC, the recognition rate of the proposed system still can reach around 80%, signifying a great potential in applying the proposed recognition system in field measurements in the future. © 2011 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

The cybersecurity consortium, which was established by DOE/NNSA’s Minority Serving Institutions Partnerships Program (MSIPP), allows students from any of the partner schools (13 HBCUs, two national laboratories, and a public school district) to have all consortia options available to them, to create career paths and to open doors to DOE sites and facilities to student members of the consortium. As a part of this year consortium activities, Sandia National Laboratories and the University of Virgin Islands conducted a week long cyber workshop that consisted of three courses; Digital Forensics and Malware Analysis, Python Programming, and ThunderBird Cup. These courses are designed to enhance cyber defense skills and promote learning within STEM related fields.

This study compares a 3D printed resolver with a conventional resolver. The advantages of the 3D printed resolver are cheap, easy manufacture and modification. The equivalent circuit, transfer function, and Bode diagram of the resolver are presented and discussed. Furthermore, a digital signal processor (DSP)-based resolver-to-digital conversion system for 3D printed resolver and conventional resolver is built to validate the performances of the proposed scheme.

In this letter, the photovoltaic characteristics of InGaN/AlGaN superlattice solar cells with In=21% and 40% in InGaN multiple quantum wells, and Al=14% and 20% in AlGaN barriers are investigated. The results obtained numerically show that an increment of 18.2% in short-circuit current density is achieved by introducing p-type doped (holenconcentration = 3×1017 cm-3) Al0.2Ga0.8N barriers in In0.4Ga0.6N superlattice solar cell when compared with undoped Al0.14Ga0.86N barriers. This improvement is mainly attributed to the increased electric field in the main absorption region, which is beneficial for the holes in the valence band to move towards the p-region. The capability of carrier transport is efficiently improved, thus increasing the carrier-collection efficiency and the conversion efficiency.

The influence of spontaneous and strain-induced piezoelectric polarizations on the photovoltaic characteristics of an Al0.14Ga0.86N/In0.21Ga0.79N superlattice (SL) solar cell is numerically investigated. The simulation results show that, compared with the conventional p-i-n structure, the Al0.14Ga0.86N/In0.21Ga0.79N SL solar cell has better photovoltaic characteristics and is less sensitive to the effect of internal polarization. Therefore, the use of an SL structure in the III-nitride solar cells is advantageous if both the polarization effect and the crystal quality are of major concern.

The impact of the polarization compensation InGaN interlayer between the heterolayers of Ga-face GaN/InGaN p-i-n solar cells is investigated numerically. Because of the enhancement of carrier collection efficiency, the conversion efficiency is improved markedly, which can be ascribed to both the reduction of the polarization-induced electric field in the InGaN absorption layer and the mitigation of potential barriers at heterojunctions. This beneficial effect is more remarkable in situations with higher polarization, such as devices with a lower degree of relaxation or devices with a higher indium composition in the InGaN absorption layer.