Fast Real Time Research Articles

Design of Fast Real Time Controller for the SSSC Based on Takagi-Sugeno (TS) Adaptive Neuro-Fuzzy Control System

FACTS (Flexible AC Transmission Systems) technology is one aspect of the power electronics revolution that is taking place in all areas of electric energy. The power transfer capability of a transmission line can be enhanced by using power electronics based system like FACTS that offer high speed and reliable control capability. The Static Synchronous Series Compensator (SSSC) is the second generation of the FACTS controller, which is used to control the power flow in the transmission line. In this paper, a new scheme to control SSSC using adaptive neuro fuzzy logic is proposed, in this controller, Takagi-Sugeno fuzzy rules are trained using off-line neuro fuzzy system, also, instantaneous power theory is used to calculate the power system parameters due to its high accuracy and less computation. The simulation and practical results show that real time application of the proposed controller is possible and robust compared to conventional controllers previously investigated. The experiment results obtained using the dSPACE data acquisition system and Matlab real time toolbox.

Prediction of Bearing Vibration Fault State based on Fused Bi-LSTM and SVM

Machinery failure prediction and equipment health management is the key to reduce even prevent the occurrence of significant failures. In recent years, deep learning based intelligent fault diagnosis methods have become a hot topic of research in the field of machinery and equipment health management, especially the evaluation of the equipment health indicators and failure mode identification issues in complex environments. In this paper, a fused bidirectional long and short term memory (BiLSTM) and support vector machine (SVM) recurrent neural network deep learning algorithm is proposed to solve the problem of fast fault diagnosis of mechanical bearing vibration in complex environments. The algorithm uses a BiLSTM memory network as a feature extractor to capture fault features in the raw one dimensional (1-D) time series data, and then a SVM is used at the end of the network instead of the traditional softmax function as a classifier discriminator to further improve the accuracy of diagnosis. The experimental results indicate that the proposed algorithm model has higher diagnostic accuracy and faster diagnosis speed, and more suitable for fast diagnosis and real time detection of faults in complex environments.

Fast and stable real time monitoring of gaseous mercury in its catalytic oxidation using a fully modified cold-vapor atomic absorption mercury analyzer

A commercially-available cold-vapor atomic absorption mercury analyzer had many difficulties in monitoring real-time gaseous mercury (Hg0) in its oxidation over a V2O5/TiO2-based catalyst under conditions additionally containing HCl, NO and NH3. Thus we made extensive modifications to the original analyzer so that this is suitable for fast and stable real-time Hg0 detections even at low sample flow rates as well as at the harsh conditions. Our fully modified analyzer gave Hg0 signals very similar to those based upon the factory-certified permeation rate of the mercury permeation tube. Gaseous Hg0 could react, only to a small extent, with HCl over a quartz powder and the measured Hg0 oxidation activity was almost associated with the catalyst depending on concentrations of HCl fed to gas streams with NO and NH3. This study can offer useful solutions to academic and industrial research groups to attempt real-time Hg0 measurements at such chosen conditions.

Moving Object Tracking Using Multiple Cameras in Network

In real time object tracking is an important task in various surveillance application. Nowadays, surveillance system very common in offices, collage campus, shopping malls etc. In this paper, an automated video surveillance system presented. Althrough tracking and counting system are commercially available today; there is need for further reaserach to address the challenges of real world scenarios. There is lot of surveillance cameras installed around us but there are no means to monitor all of them continuously. It is necessary to develop a computer vision based technologies that automatically process those images in order to detect situations or unusual behavior. In order to solve the problem of poor real time tracking performance using convolutional neural network. This paper proposes a fast and accurate real time video detection and tracking algorithm. Keyword: - Video surveillance system, Moving object detection, Tracking, Background subtraction. I. Introduction Real time human body detection and tracking in indoor environment deals with the concept of higher level application of image processing and computer vision. The following key components of identify to path of real time tracking are extracting a feature, background image subtraction. If two similar color objects come to close the tracker of one object can jump to associated object. The problem is called hijacking problem. Drifting problem occur when an object abruptly changes its direction to reverse. In that case it’s become very difficult to track the object because the motion model does not work. An object tracking can be understood as the problem of finding the path (i.e. Trajectory).

Identifying the heat sink

<p style='text-indent:20px;'>In this paper we examine the identification problem of the heat sink for a one dimensional heat equation through observations of the solution at the boundary or through a desired temperature profile to be attained at a certain given time. We make use of pseudo-spectral methods to recast the direct as well as the inverse problem in terms of linear systems in matrix form. The resulting evolution equations in finite dimensional spaces leads to fast real time algorithms which are crucial to applied control theory.</p>

Boron Doped Diamond for Real-Time Wireless Cutting Temperature Monitoring of Diamond Coated Carbide Tools.

Among the unique opportunities and developments that are currently being triggered by the fourth industrial revolution, developments in cutting tools have been following the trend of an ever more holistic control of manufacturing processes. Sustainable manufacturing is at the forefront of tools development, encompassing environmental, economic, and technological goals. The integrated use of sensors, data processing, and smart algorithms for fast optimization or real time adjustment of cutting processes can lead to a significant impact on productivity and energy uptake, as well as less usage of cutting fluids. Diamond is the material of choice for machining of non-ferrous alloys, composites, and ultrahard materials. While the extreme hardness, thermal conductivity, and wear resistance of CVD diamond coatings are well-known, these also exhibit highly auspicious sensing properties through doping with boron and other elements. The present study focuses on the thermal response of boron-doped diamond (BDD) coatings. BDD coatings have been shown to have a negative temperature coefficient (NTC). Several approaches have been adopted for monitoring cutting temperature, including thin film thermocouples and infrared thermography. Although these are good solutions, they can be costly and become impractical for certain finishing cutting operations, tool geometries such as rotary tools, as well as during material removal in intricate spaces. In the scope of this study, diamond/WC-Co substrates were coated with BDD by hot filament chemical vapor deposition (HFCVD). Scanning electron microscopy, Raman spectroscopy, and the van der Pauw method were used for morphological, structural, and electrical characterization, respectively. The thermal response of the thin diamond thermistors was characterized in the temperature interval of 20–400 °C. Compared to state-of-the-art temperature monitoring solutions, this is a one-step approach that improves the wear properties and heat dissipation of carbide tools while providing real-time and in-situ temperature monitoring.

Immune Senescence-Related Gene Expression Profile in CD4+ T-Lymphocytes of HTLV-1 Asymptomatic Carriers and Patients with Adult T-Cell Leukemia/Lymphoma (ATLL): A Brazilian Preliminary Study

Introduction: Adult T-cell leukemia/lymphoma (ATLL) is a rare and aggressive neoplasm caused by the human T-lymphotropic virus type 1 (HTLV-1). It is estimated, worldwide, that at least 5-10 million people carry HTLV-1 and 2-5% out of them will develop ATLL. Previously, our group demonstrated an increase of cells in G0/G1 phase of cell cycle and aneuploidy in CD4+ T-cells in HTLV-1 asymptomatic carriers [1]. These findings may reflect an adverse intracellular environment, caused by genetic stress due to viral particles inserted into host DNA. Intracellular mechanisms aiming to control and prevent replication of cells carrying genetic aberrations in genes involved in cell cycle regulation, DNA repair and apoptosis could be activated to hold cell division while DNA damage is repaired. Based on this hypothesis, delay of cell cycle in G0/G1 may be a step in the process of oncogenesis [1]. Herein, we did a pilot study in order to analyze the pattern of expression of a set of genes involved in cell cycle control and senescence in CD4+ T-lymphocytes of HTLV-1 infected individuals searching for additional genetic abnormalities in this setting.Methods: Peripheral blood samples were tested obtained from five HTLV-1 asymptomatic carriers and four ATLL patients for this pilot study. T-CD4+ cells were isolated in magnetic column followed by RNA extraction. Subsequently, it was converted into cDNA for the assays of the real-time quantitative polymerase chain reaction (qRT-PCR) in microplates of 96 wells previously customized with 44 senescence related genes pursued from ThermoFischer Scientific. A pool of five samples from healthy individuals (control group) was used as a calibrator. RNA transcription was measured using 7500 Fast real time PCR system (Applied Biosystems) and data were collected by the 7500 software v2.0.5 (Applied Biosystems). The expression levels of the target genes were calculated using the Livak and Schmittgen (2001) method [2]. The mRNA expression was normalized using the β-glucuronidase (GUSB) gene (Applied Biosystems, cod. Hs99999908_m1) and those genes with expression ≥ 2x or ≤ 2x in comparison to control group were considered as differentially expressed and were chosen to be validated in a secondary cohort of thirty HTLV-1 infected individuals.Results: In HTLV-1 asymptomatic carriers the median age was 55 years (37-62 years) and 20% (1/5) of them were males, in ATLL patients: 45 years (38-66 years) and 100% (4/4) were females, while the control group had median age of 43 years (22-62 years) and 60% (3/5) were males. Among the ATLL group, 50% (2/4) were classified as smoldering, 25% (1/4) were acute and 25% (1/4) were lymphomatous, according to Shimoyama classification [3]. COL3A1, SPARC and TWIST1 genes were overexpressed and CDKN1A, ID1, IFNG and TERT were suppressed in HTLV-1 asymptomatic carriers when compared to healthy controls. HTLV-1 infected and ATLL patients showed TWIST1 and COL3A1 genes overexpressed and IFNG, CDKN1A and TERT repressed (Figure 1 and 2). The ALDH1, FN1, NOX4 and COL1A1 genes did not amplified.Conclusion: These preliminaries results showed for the first time that HTLV-1 asymptomatic carriers present a set of genes differentially expressed in T-CD4+ cells, especially SPARC, TWIST1, COL3A1, CDNK1A and IFNG. These results will be confirmed in a validation cohort. We expected that this data shed some light on the comprehension of the cell microenvironment of the T-CD4+ lymphocyte in HTLV-1 asymptomatic carriers. Furthermore, we will be able to understand potential mechanisms associated with leukemogenesis in chronic infection by this virus, explaining eventual progression to ATLL. [Display omitted] DisclosuresNo relevant conflicts of interest to declare.

IMMUNE SENESCENCE-RELATED GENE EXPRESSION PROFILE IN CD4+ T-LYMPHOCYTES OF HTLV-1 ASYMPTOMATIC CARRIERS AND PATIENTS WITH ADULT T-CELL LEUKEMIA/LYMPHOMA (ATLL): A BRAZILIAN PRELIMINARY STUDY

ATLL is a rare and aggressive neoplasm caused by the human T-lymphotropic virus type 1 (HTLV-1). It is estimated that at least 5-10 million people carry HTLV-1 and 2-5% out of them will develop ATLL. Our group demonstrated an increase of cells in G0/G1 phase of cell cycle and aneuploidy in CD4+ T-cells in HTLV-1 asymptomatic carriers. These findings may reflect an adverse intracellular environment, caused by genetic stress due to viral particles inserted into host DNA. Intracellular mechanisms aiming to control and prevent replication of cells carrying genetic aberrations in genes involved in cell cycle regulation, DNA repair and apoptosis could be activated to hold cell division while DNA damage is repaired. Based on this hypothesis, delay of cell cycle in G0/G1 may be a step in the process of oncogenesis. Herein, we did a pilot study in order to analyze the pattern of expression of a set of genes involved in cell cycle control and senescence in CD4+ T-lymphocytes of HTLV-1 infected individuals searching for additional genetic abnormalities in this setting. Peripheral blood samples were tested obtained from five HTLV-1 asymptomatic carriers and four ATLL patients. T-CD4+ cells were isolated in magnetic column followed by RNA extraction. Subsequently, it was converted into cDNA for the assays of the qRT-PCR in microplates of 96 wells customized with 44 senescence related genes. A pool of five samples from healthy individuals (control group) was used as a calibrator. RNA transcription was measured using 7500 Fast real time PCR system ( Applied Biosystems ) and data were collected by the 7500 software v2.0.5 ( Applied Biosystems ). The expression levels of the target genes were calculated using the Livak and Schmittgen (2001) method. The mRNA expression was normalized using the β-glucuronidase ( GUSB ) gene ( Applied Biosystems , cod. Hs99999908_m1) and those genes with expression ≥ 2x or ≤ 2x in comparison to control group were considered as differentially expressed and were chosen to be validated in a secondary cohort of thirty HTLV-1 infected individuals. In HTLV-1 asymptomatic carriers the median age was 55 years (37-62 years) and 20% (1/5) of them were males, in ATLL patients: 45 years (38-66 years) and 100% (4/4) were females, while the control group had median age of 43 years (22-62 years) and 60% (3/5) were males. Among the ATLL group, 50% (2/4) were classified as smoldering, 25% (1/4) were acute and 25% (1/4) were lymphomatous, according to Shimoyama classification. COL3A1, SPARC and TWIST1 genes were overexpressed and CDKN1A, ID1, IFNG and TERT were suppressed in HTLV-1 asymptomatic carriers when compared to healthy controls. HTLV-1 infected and ATLL patients showed TWIST1 and COL3A1 genes overexpressed and IFNG, CDKN1A and TERT repressed. The ALDH1, FN1, NOX4 and COL1A1 genes did not amplified. These preliminaries results showed for the first time that HTLV-1 asymptomatic carriers present a set of genes differentially expressed in T-CD4+ cells, especially SPARC, TWIST1, COL3A1, CDNK1A and IFNG . These results will be confirmed in a validation cohort. We expected that this data shed some light on the comprehension of the cell microenvironment of the T-CD4+ lymphocyte in HTLV-1 asymptomatic carriers. Furthermore, we will be able to understand potential mechanisms associated with leukemogenesis in chronic infection by this virus, explaining eventual progression to ATLL.

Comparative Study of Fast Plaque Assay and Real Time PCR for Detection of Mycobacterium tuberculosis in Pulmonary Samples

Comparative Study of Fast Plaque Assay and Real Time PCR for Detection of Mycobacterium tuberculosis in Pulmonary Samples

In Situ Thermal Inspection of Automated Fiber Placement for manufacturing induced defects

Automated Fiber Placement (AFP) manufacturing is prone to several varieties of manufacturing defects that can be detrimental to the structural integrity of the part. Detecting these defects after layup is time and labor intensive, and detection of some defect types post-cure can be difficult to infeasible due to the size of the flaws. The In Situ Thermal Inspection System (ISTIS) answers the need for fast and reliable real time inspection to enable high rate AFP manufacturing with minimal modifications or interference to the manufacturing process. This paper presents the details of the design of ISTIS and the thermal data analysis. This work presents a novel calibration and performance assessment regime which demonstrates ISTIS detecting all tested artificial manufacturing induced defects and sizing most to within 0.762 mm.

ParaDist-HMM: A Parallel Distributed Implementation of Hidden Markov Model for Big Data Analytics using Spark

Big Data is an extremely massive amount of hetero-geneous and multisource data which often requires fast processing and real time analysis. Solving big data analytics problems needs powerful platforms to handle this enormous mass of data and efficient machine learning algorithms to allow the use of big data full potential. Hidden Markov models are statistical models, rich and widely used in various fields especially for time varying data sequences modeling and analysis. They owe their success to the existence of many efficient and reliable algorithms. In this paper, we present ParaDist-HMM, a parallel distributed imple-mentation of hidden Markov model for modeling and solving big data analytics problems. We describe the development and the implementation of the improved algorithms and we propose a Spark-based approach consisting in a parallel distributed big data architecture in cloud computing environment, to put the proposed algorithms into practice. We evaluated the model on synthetic and real financial data in terms of running time, speedup and prediction quality which is measured by using the accuracy and the root mean square error. Experimental results demonstrate that ParaDist-HMM algorithms outperforms other implementations of hidden Markov models in terms of processing speed, accuracy and therefore in efficiency and effectiveness.

Secured IoT Based Health Monitoring System

Health Monitoring is the pivotal part of human well being. In Today’s world of automation the field of biomedicine is no longer a distant part. Application of Technology has gained its importance in the field of biomedicine. It has improved the total process of medication. Earlier detection of diseases is possible through continuous monitoring of the patient. Health Monitoring has gained its importance from the past decades. Health monitoring systems are about to revolutionize the life of human by fast detection and real time monitoring of the patients. Continuous Monitoring of the patient is essential for earlier detection of diseases and taking the preventive measures possible. Continuous Monitoring of the patients by doctors is not always possible. To overcome this problem an IoT based continuous monitoring system is proposed in this paper where the data i.e.; the patient parameters are collected from the patient using the sensors and the data that is collected is processed at the processor. The processed data is updated to the cloud. Utilization of IoT innovations has arranged doctors and patients for connecting them to restorative regions in medicinal services environment. In this method the information collected by the wearable devices i.e.; sensors in real time are stored in database which connects doctors and people at the time of an emergency for the right information. Mostly, the health care systems concentrate on integrity and confidentiality of the data. Data Privacy, Data Integrity, Data Freshness, Authentication and Anonymity are the security requirements in IoT based health care systems. Cryptography is used to provide confidentiality to the data. In this paper we propose an Advance Encryption Standard Algorithm (AES) to provide security to the data that is updated into the cloud to finish the required prerequisites.

Collision Avoidance of Low Speed Autonomous Shuttles with Pedestrians

This paper is on a pedestrian collision avoidance system for low speed autonomous shuttles based on Vehicle-to-Pedestrian (V2P) communication. When pedestrians cannot be detected using line-of-sight sensors like camera, radar and LIDAR, V2P communication with the Dedicated Short Range Communication (DSRC) enabled pedestrian smartphone is used to detect and localize them through the in-vehicle DSRC radio used for Vehicle-to-Everything (V2X) communication. The vehicle, then, either stops or, if possible, goes around the pedestrian in a socially acceptable manner using the elastic band method for locally modifying the vehicle trajectory in real time. The elastic band method of collision avoidance is modified for fast real time execution in this paper. Along with model-in-the-loop simulations, a hardware-in-the-loop simulator using an automated driving vehicle model in the high fidelity vehicle dynamics simulation program Carsim Real Time with Sensors and Traffic with two DSRC modems emulating the vehicle and pedestrian communications is introduced and used in this paper as a prerequisite to real world experiments. Both stationary and moving pedestrians are considered in the model and hardware-in-the-loop simulations. Two real world experiments are also presented to demonstrate the V2P based avoidance of crashes between low speed autonomous shuttles and pedestrians.

Bovine Alphaherpesvirus 2 infections in Bavaria: an analysis of the current situation - several years after eradicating Bovine Alphaherpesvirus 1

BackgroundBavaria, a large federal state in Germany, has been declared free from infections with Bovine Alphaherpesvirus 1 (BoHV-1) in 2011. To maintain this status the cattle population is monitored for antibodies against BoHV-1 regularly. Several years ago, infrequent but recurrent problems in this sero-surveillance were statistically put into correlation with the presence of antibodies against Bovine Alphaherpesvirus 2 (BoHV-2). In Europe, BoHV-2 is primarily known as the agent causing bovine herpes mammillitis. However, very little information about BoHV-2 infections in Bavaria is available so far. Therefore, the aims of this study were to determine BoHV-2 seroprevalences and to detect virus genomes in potential clinical samples.Results6801 blood sera of healthy cattle from all over Bavaria were tested for antibodies against BoHV-2, revealing an overall seroprevalence of 5.51%. Interestingly, seroprevalences markedly varied between the North and the South of Bavaria, namely from 0.42 to 11.17%. Concurrently, the previously reported relation between the epidemiologically inexplicable sero-reactivities in BoHV-1 ELISAs and the presence of BoHV-2 infections were statistically corroborated in this study. To detect BoHV-2 genomes a fast and sensitive real time PCR was established. Using a multiple PCR strategy, tissue samples from skin lesions at relevant localizations, corresponding lymph nodes, and trigeminal ganglia from 111 animals, as well as nasal swabs from 918 bovines with respiratory symptoms were tested. However, BoHV-2 genomes were not detected in any of these samples.ConclusionsBoHV-2 antibodies were found in samples from bovines all over Bavaria, albeit with an explicit South-North-divide. BoHV-2 genomes, however, could not be detected in any of the analyzed samples, indicating that acute clinical cases as well as obvious virus reactivation are relatively rare. Consequently, the future spread of BoHV-2 infections throughout Bavaria, particularly, after eradicating BoHV-1, has to be further monitored.

Expression Profiling and Quantification of Interferon Gamma (IFN-Y) Gene in Sheep Experimentally Infected with Haemonchus Contortus

The present study was carried out to assess the rhythmic change in the relative expression of IFN-y and quantification in blood of sheep experimental infected with Haemonchus Contortus. The whole blood samples were collected from Garole and Sahabadi breeds of sheep from West Bengal, India. All samples collected on three occasions were tested for expression of IFN-y gene in relation to GAPDH gene for quantification by Fast Eva green-based real time PCR and relative concentration by using the ELISA based standard commercial kit.

Real-time trajectory control on a deterministic ion source

SynopsisThe major challenge to improve deterministic single ion sources is to control the position and momentum of each ion. Based on the extra information given by the electron created in a photoionization process, the trajectory of the correlated ion can be controlled and corrected using a fast real time feedback system. In this work, we report on a proof-of-principle experiment that demonstrates the performance of this feedback control with individual cesium ions.

The use of ultrasound as a research tool in acupunture: a literature review

Abstract Background and Aims Ultrasound is a non-invasive test which enables a fast real time exam, which is both dynamic and accessible. In contrast, the mechanisms of functioning of acupuncture have not been completely understood. The aim of this review was to determine the various uses assigned to ultrasound in acupuncture research. Material and Methods A literature search was performed in PubMed, Cochrane Library, PEDro and ScienceDirect databases. Manual searches were performed in the following journals: Evidence-Based Complementary and Alternative Medicine, Acupuncture Medicine, Medical Acupuncture and The Journal of Alternative and Complementary Medicine. The search terms “ultrasonography” and “Acupuncture” were used, related with AND. Research studies in humans were included in which ultrasound was used to assess some aspect of the acupuncture intervention. No time limit was established and the languages were limited to Spanish, English, Galician or Portuguese. The data extraction was performed by two independently blinded evaluators. Results A total of 46 studies were included for the analysis. B Mode is the most used form of imaging, followed by Doppler and elastography. In total, 18 studies performed an analysis of vascular parameters. Doppler was commonly used, with a dominance of transcranial Doppler methods, although B mode was also used to measure the transverse diameter of blood vessels. In 11 studies, B mode was used alone or combined with Doppler to obtain measures of safety, precision, location of target structures and needle position regarding sensitive structures. Seven studies used elastography. Five studies quantified tissue movement and another quantified muscle stiffness using elastography and B mode. A further study also included Doppler for the measurement of blood flow. Six studies evaluated visceral conditions. One study evaluated gastric emptying and the five remaining studies focused on the genitourinary sphere such as the rate of pregnancy, fetal position, prostate characteristics, intrapelvic venous congestion and bladder emptying. From the musculoskeletal point of view, 4 studies were located. Two studies evaluated the thickness parameter of the common extensor tendon of the epicondyle and two layers of connective tissue, respectively. One study concluded that the application of acupuncture can influence the viscoelastic properties of the tendon and one remaining study informed of the positive association between ultrasound as an assessment tool and follow up tool in acupuncture treatments. Conclusions In this field of study, ultrasound has been used to obtain objective outcomes and adopt safety guidelines related to acupuncture procedures.

P1.03-33 Analysis of Lipid Metabolism Genes in Advanced Small Cell Lung Cancer

Lung cancer is the leading cause of cancer death worldwide. Although most of the knowledge about metabolic dysregulation in cancer focuses on carbohydrates, the importance of alterations related to lipid metabolism is starting to be recognized. There is increasing data on lipid metabolism and non-small lung cancer, but much less is known about this in small cell lung cancer (SCLC). In order to improve our knowledge of these alterations we evaluated a genetic profile related to lipid metabolism and studied clinical outcomes We performed a retrospective analysis of 22 genes related to lipid metabolism in 37 tumoral tissue samples of SCLC patients and evaluated clinical features and outcomes. Advanced SCLC patients enrolled from November 1, 2008 through December 31, 2015 were included in this analysis. Clinical data were collected from medical records at the time of enrollment. The study was approved by an Ethics Committee and all patients signed an Informed Consent form. We used formalin-fixed, paraffin- embedded tumor tissue. Samples were deparaffinated and total RNA was extracted. A Taq-Man Low Density Array (Applied Biosystems) was specifically designed and gene-expression assays were performed in a HT-7900 Fast Real time PCR. RT-StatMiner software was used to detect and determine the quality control and differential expression analyses of data. We included 37 patients, 73 % males and 27 % women, with a median age of 62. 29 patients (78%) had stage IV tumor and nearly all of them (92%) were treated with platinum- based chemotherapy. 11 % (4/37) received thoracic radiotherapy and 5% (2/37) received whole brain radiotherapy. 6 patients (16%) were on chronic treatment with metformin and 15 (40%) on statins. We performed a multivariable analysis and found that overexpression of two metabolic genes (a mitochondrial enzyme and a lipid metabolism regulator) led to longer overall survival. (HR 0.13 (0.04-0.42), p 0.0019, padjusted 0.04 and HR 0.11 (0.03-0.35) p 0.0006, padjusted 0.01, respectively). These genes contribute to normal functioning and regulation of lipid metabolism and could be considered as potential prognostic biomarkers. There is no previous evidence of association between levels of expression of these genes and overall survival in SCLC. Validation in a larger series of patients is ongoing.

Recurrent inflammatory disease caused by a heterozygous mutation in CD48

Recurrent inflammatory disease caused by a heterozygous mutation in CD48

Analysis of a profile of lipid metabolism genes in advanced non-small cell lung cancer.

e20619 Background: Non- small cell lung cancer (NSCLC) is one of the tumors with the highest mortality rate. The underlying metabolic alterations involved in its carcinogenesis are becoming more interesting. According to this, the analysis of the dysregulation of genes involved in lipid metabolism (LM) is subject to a growing research. To evaluate a profile of genes involved in lipid metabolism in NSCLC, we analyzed the correlation of this gene expression profile with different clinical-pathological variables. Methods: We performed a retrospective analysis of 22 genes related to LM in samples of NSCLC as well as clinical-pathological features. Advanced NSCLC patients enrolled from 2008 through 2015 were included. Clinical and pathological data were collected from medical reports. This study was approved in our ethical committee and all patients signed the consent inform. Samples were deparaffinated and RNA was extracted using RNeasy FFPE Kit (Qiagen Gmbh, Germany). A Taq-Man Low Density Array (Applied Biosystems) was specifically designed and gene-expression assays were performed in a HT-7900 Fast Real time PCR. RT-StatMiner software (Integromics Inc., Madison, USA) was used to detect and determine the quality control and differential expression analyses of data. Quantification of gene expression was calculated with the 2–ΔCt method. The Kaplan–Meier method was used for survival probabilities, and the log-rank test was to test differences between subgroups. Results: Ninety patients with advanced NSCLC were included. Median age was 64, 68/90 (75%) were male; 46/90 (51%) were ECOG 1; 68/90 (75%) adenocarcinoma vs 22/90 (24%) squamous; 47/90 (52%) smokers and 34% former smokers; metformine intake was presented in 9/90 (10%) and statins 24/90 (27%). In retrospective RT-PCR analysis including a lipid metabolism gene profile of 22 genes, we obtained an overexpression of 2 genes (an Acyl-CoA sintetase and a adipocine encoding gene). They were significantly correlated with overall poor survival in the multivariate analysis (table). These results were confirmed in an in silico validation using 994 NSCLC patients from TCGA study. Conclusions: This is the first study demonstrating a significant relation with a poor survival between a metabolic lipid gene profile expression and survival in advanced non- small cell lung cancer [Table: see text]