Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy for Pseudomyxoma Peritonei of Appendiceal Origin - 801 Cases from a Single Institution in China

Aim: As more and more centers has published their treatment results ofpseudomyxoma peritonei (PMP) with cytoreductive surgery (CRS) andhyperthermic intraperitoneal chemotherapy (HIPEC), the data from Chinais missing. Myxoma Department of Aerospace Hospital is the biggestcenter treating PMP in China. The purpose of this study is to report theearly and long-term outcomes for PMP from this single center. Methods:801 appendix-derived PMP out of 1008 consecutive patients treated inMyxoma Department of Aerospace Hospital between 2008 and 2019 wereretrospectively analyzed. Results: Complete cytoreductive surgery (CCRS)was achieved in 240 (30%) patients with median PCI of 14(1~39), andthe rest had maximal tumor debulking (MTD), HIPEC was implementedin 96.3% of CCRS and 78.6% of MTD. The major morbidity (gradeIII/IV) was 11.4% and the 30-day operative mortality is 0.7%. The 5-and 10-year OS of CCRS was 76.9% and 64.1%, which is significantlyhigher than MTD (5-, 10-year OS as 36.1%, 27.1%; p20, MTD, high pathologic grade and without HIPECwere independent factors predicting poorer prognosis. Conclusions: CCRS+HIPEC can benefit PMP well with controllable risks. MTD+HIPEC maybenefit PMP as well when CCRS cannot be achieved after fully asscessmentby an experienced peritoneal maglignacy center, but the surgery should beperformed as limited as possible

Primary adenomyoepithelioma of tonsil

We present a case of adenomyoepithlioma (AME) arising from the tonsil. AME is an uncommon tumor that typically arises in breast, but rarely found in salivary glands, lung, and skin. Its biological features have not been thoroughly characterized. Here we describe a primary AME originating from the tonsil. The pathologic changes were characterized by hypercellularity, the dominance of both epithelial and myoepithelial cells. Malignancy was evidenced by the presence of a high mitotic rate and invasive growth. The epithelial cells express high levels of cytokeratin and epithelial membrane antigen (EMA). The myoepithelial cells show positive staining for calponin, p63, vimentin, and S-100. A thorough review of the literature indicates that this is likely the first reported case of AME from the tonsil. Following descriptions of the diagnosis, treatment, and prognosis of this specific case, pathologic and clinical characteristics of AME from other tissues are also compiled and discussed

Highly frequent PIK3CA amplification is associated with poor prognosis in gastric cancer

<p>Abstract</p> <p>Background</p> <p>The phosphoinositide 3-kinase (PI3K)/Akt pathway plays a fundamental role in cell proliferation and survival in human tumorigenesis, including gastric cancer. <it>PIK3CA </it>mutations and amplification are two major causes of overactivation of this pathway in human cancers. However, until this work, there was no sound investigation on the association of <it>PIK3CA </it>mutations and amplification with clinical outcome in gastric cancer, particularly the latter.</p> <p>Methods</p> <p>Using direct sequencing and real-time quantitative PCR, we examined <it>PIK3CA </it>mutations and amplification, and their association with clinicopathological characteristics and clinical outcome of gastric cancer patients.</p> <p>Results</p> <p><it>PIK3CA </it>mutations and amplification were found in 8/113 (7.1%) and 88/131 (67%) gastric cancer patients, respectively. <it>PIK3CA </it>amplification was closely associated with increased phosphorylated Akt (p-Akt) level. No relationship was found between <it>PIK3CA </it>mutations and clinicopathological characteristics and clinical outcome in gastric cancer. <it>PIK3CA </it>amplification was significantly positively associated with cancer-related death. Importantly, Kaplan-Meier survival curves revealed that the patients with <it>PIK3CA </it>amplification had significantly shorter survival times than the patients without <it>PIK3CA </it>amplification.</p> <p>Conclusions</p> <p>Our data showed that <it>PIK3CA </it>mutations were not common, but its amplification was very common in gastric cancer and may be a major mechanism in activating the PI3K/Akt pathway in gastric cancer. Importantly, Kaplan-Meier survival curves revealed that <it>PIK3CA </it>amplification was significantly positively associated with poor survival of gastric cancer patients. Collectively, the PI3K/Akt signaling pathway may be an effective therapeutic target in gastric cancer.</p

Leukadherin-1-Mediated Activation of CD11b Inhibits LPS-Induced Pro-inflammatory Response in Macrophages and Protects Mice Against Endotoxic Shock by Blocking LPS-TLR4 Interaction

Dysregulation of macrophage has been demonstrated to contribute to aberrant immune responses and inflammatory diseases. CD11b, expressed on macrophages, plays a critical role in regulating pathogen recognition, phagocytosis, and cell survival. In the present study, we explored the effect of leukadherin-1 (LA1), an agonist of CD11b, on regulating LPS-induced pro-inflammatory response in macrophages and endotoxic shock. Intriguingly, we found that LA1 could significantly reduce mortalities of mice and alleviated pathological injury of liver and lung in endotoxic shock. In vivo studies showed that LA1-induced activation of CD11b significantly inhibited the LPS-induced pro-inflammatory response in macrophages of mice. Moreover, LA1-induced activation of CD11b significantly inhibited LPS/IFN-γ-induced pro-inflammatory response in macrophages by inhibiting MAPKs and NF-κB signaling pathways in vitro. Furthermore, the mice injected with LA1-treated BMDMs showed fewer pathological lesions than those injected with vehicle-treated BMDMs in endotoxic shock. In addition, we found that activation of TLR4 by LPS could endocytose CD11b and activation of CD11b by LA1 could endocytose TLR4 in vitro and in vivo, subsequently blocking the binding of LPS with TLR4. Based on these findings, we concluded that LA1-induced activation of CD11b negatively regulates LPS-induced pro-inflammatory response in macrophages and subsequently protects mice from endotoxin shock by partially blocking LPS-TLR4 interaction. Our study provides a new insight into the role of CD11b in the pathogenesis of inflammatory diseases

Equalization control strategy of medium voltage direct hanging energy storage system

The medium voltage direct hanging energy storage system has been widely used in high capacity applications, which gets rid of power frequency transformer and is of high conversion efficiency. This paper introduces the medium voltage direct hanging energy storage system topology scheme. In order to improve the battery life and capacity utilization, the in-phase and inter-phase battery equalization control strategies are studied. Finally, the simulation results on medium voltage direct hanging energy storage system prove the correctness and effectiveness of the equalization control strategy

Aggregate Node Placements in Sensor Networks

In this paper we consider the design issue of sensor networks by placing a few powerful aggregate nodes into a dense sensor network such that the network lifetime is significantly prolonged when performing data gathering. Specifically, the problem is to place K aggregate nodes into a dense sensor network of n sensor nodes with K « n such that the lifetime of the resulting network is maximized, subject to the constraints that both the maximum transmission range of an aggregate node and the maximum transmission delay between an aggregate node and a sensor node covered by the aggregate node are met. Clearly, this is a joint optimization problem of aggregate node placement and the communication structure, which is NP-hard. We approach the problem by devising a fast and scalable heuristic algorithm. We also conduct experiments by simulation to evaluate its performance, and the experimental results show that the proposed algorithm outperforms a commonly equal distance placement schema significantly

Constraint Satisfied Model Predictive Control Strategy for MMC Energy Storage System Based on Super Capacitor

With the continuous development of power electronics technology and the large-scale access of new energy power generation, the stable operation of the power grid is facing huge challenges. The MMC energy storage system has attracted more and more attention due to its strong ability to support the grid. However, the MMC energy storage system has a complex structure and contains many devices, and the research on high-performance control technology has always been a difficult point. In response to the above problems, this article proposes a constraint satisfaction model predictive control method for MMC energy storage system based on super capacitor. In the article, the operation mechanism of MMC energy storage system is analyzed, and the discrete domain mathematical model of MMC-ESSC is established. The article studies the prediction method of the future internal and external variables of the system, the rolling optimization mechanism and the method of establishing the objective function, and finally carries on the experiments verification. The analysis of experimental results shows that proposed control technology has high dynamic characteristics and efficiency

Fault ride-through control strategy of H-bridge cascaded energy storage system

The cascaded energy storage system has received extensive attention in areas such as new energy consumption, maintaining stable operation of the power grid, and supporting black start due to its advantages such as high access voltage level, large single unit capacity, and fast dynamic response rate. This paper aimed to improve the fault ride-through capability of the cascaded energy storage system, and proposed a fault ride-through control method. Firstly, the mathematical model of the cascaded energy storage system was established, and then the rapid detection method of the abnormal state of the power grid and the fault ride-through method were analyzed, and finally the simulation analysis was performed. The feasibility and correctness of the control method can be seen from the experiments

A Propagator Method for Bistatic Coprime EMVS-MIMO Radar

In this paper, a novel two-dimensional (2D) direction-of-departure (DOD) and 2D direction-of-arrival (DOA) estimate algorithm is proposed for bistatic multiple-input multiple-output (MIMO) radar system equipped with coprime electromagnetic vector sensors (EMVS) arrays. Firstly, we construct the propagator to obtain the signal subspace. Then, the ambiguous angles are estimated by using rotation invariant technique. Based on the characteristic of coprime array, the unambiguous angles estimation is achieved. Finally, all azimuth angles estimation is followed via vector cross product. Compared to the existing uniform linear array, coprime MIMO radar is occupying large array aperture, and the proposed algorithm does not need to obtain signal subspace by eigendecomposition. In contrast to the state-of-the-art algorithms, the proposed algorithm shows better estimation performance and simpler computation performance. The proposed algorithm’s effectiveness is proved by simulation results

Where2Stand: Toward a Framework for Portrait Position Recommendation in Photography

Composition layout is crucial in the portrait location recommendation of photography. The existing studies require both landscape background images and portrait foreground images, which limits the scope of practical applications. In this paper, we propose an end-to-end portrait location recommendation model, which mainly consists of three sub-networks: the first sub-networks is the portrait generation network, which generates relatively real portrait foreground images based on random input noise; the second sub-networks is the spatial transformation network, which mainly changes the size and location of the generated portrait based on the input landscape image; The third sub-networks is the compose network to generate a realistic portrait landscape image, which considers not only the correlation between the portrait foreground and the landscape background but also the overall composition aesthetics. Last, the proper standing position is obtained by computing the difference between the generated and input landscape images. We also construct a portrait landscape photo dataset PLDataset to train and verify our method. The experimental results on our dataset show that our proposed method can recommend a relatively reasonable standing position by only providing a landscape image in portrait landscape photography, which greatly increases the availability