MAGEA3 serves as an independent indicator for predicting the prognosis of ESCC

2021 ◽  
Vol 63 (3) ◽  
Author(s):  
Shenxiang LIU ◽  
Hongyan CHEN ◽  
Xiaolin GE ◽  
Zhenzhen GAO ◽  
Yu SHI ◽  
...  
2021 ◽  
Author(s):  
Bartlomiej Wiendlocha ◽  
Shantanu Misra ◽  
Anne Dauscher ◽  
Bertrand Lenoir ◽  
Christophe Candolfi

A novel method which allows to distinguish between resonant and non-resonant impurities in thermoelectric semiconductors is presented.


2021 ◽  

Background and purpose: There are high occurrences of abnormal electrocardio-graphic (ECG) in patients with acute subarachnoid hemorrhage (SAH). Thus, we want to determine whether any specific characteristics in ECG are associated with poor clinical outcomes in patients with SAH inhospital. Methods: A total of 145 patient who selected from 270 cases with non-traumatic SAH was included in this study. A standard surface ECG was assessed for all patients within 72 hours of SAH onset. All patients were stratified into Good or Poor outcome groups according to the in-hospital mortality or neurological worsening (World Federation of Neurological Surgeons, WFNS class) when they discharge from our hospital. Results: These patients in Poor outcome (n = 29) had significantly high heart rate (93.52± 22.23 bpm vs 78.42 ± 18 bpm, P < 0.01), prolonged QTc (458.17 ± 44.88 ms vs 436.89 ± 43.46 ms, P = 0.027) and corrected Tpeak–Tend interval (cTp-e, 106.19 ± 22.22 ms vs 93.14 ± 21.04 ms, P = 0.007) and high occurrence of ECG abnormalities including ST segment (90% vs 44%, P < 0.01) and left ventricular high voltage (28%vs 10%, P = 0.03). Multivariable logistic regression identified independent variables indicating poor outcome in-hospital including abnormal ST (OR = 2.507, 95% CI, 1.051-5.941, P = 0.037) and WFNS class (OR = 2.280, 95% CI, 1.605-3.240, P < 0.001). Conclusions: Abnormal ST segment of ECG is an independent indicator for poor inhospital outcomes regardless the severity of patients with SAH and warrant to further study their mechanism in the future.


2000 ◽  
Vol 37 (2) ◽  
pp. 389-399 ◽  
Author(s):  
F. Thomas Bruss ◽  
Davy Paindaveine

Let I1,I2,…,In be a sequence of independent indicator functions defined on a probability space (Ω, A, P). We say that index k is a success time if Ik = 1. The sequence I1,I2,…,In is observed sequentially. The objective of this article is to predict the lth last success, if any, with maximum probability at the time of its occurrence. We find the optimal rule and discuss briefly an algorithm to compute it in an efficient way. This generalizes the result of Bruss (1998) for l = 1, and is equivalent to the problem of (multiple) stopping with l stops on the last l successes. We then extend the model to a larger class allowing for an unknown number N of indicator functions, and present, in particular, a convenient method for an approximate solution if the success probabilities are small. We also discuss some applications of the results.


2010 ◽  
pp. P3-702-P3-702
Author(s):  
M L Klein ◽  
L Iazzetti ◽  
T T Simpser ◽  
M Rosenbaum ◽  
S Accacha ◽  
...  

2021 ◽  
Author(s):  
Amal ABOUDA ◽  
Yasmine BOUKHALFA ◽  
Wafa ANENE ◽  
Zied HAJJEJ ◽  
Ezzeddine GHAZOUANI ◽  
...  

Abstract Purpose: The aim of our study was to evaluate the prevalence of aPLAs among Tunisian critically-ill covid19 and non-covid19 patients and to investigate the clinical significance of aPLAs by determining the SOFA score and their respiratory failure during their ICU stay. Methods: We conducted a prospective observational cohort study including critically ill COVID-19 patients and non-COVID-19 patients with pulmonary origin sepsis, admitted to the intensive care unit. Blood samples were collected on days 1, 3, 5, 8 and 10 of hospitalization in order to measure titers of anti-cardiolipin (aCL), anti-phosphatidylserine (aPS) by chemiluminescence immunoassay. Results: We enrolled 43 COVID-19 patients and 31 non COVID-19 with pulmonary origin sepsis. In-hospital mortality rate was significantly higher (p=0.026) in COVID-19 patients (79%). 58.8% of COVID-19 patients were aPLA positive; however, only 22.5% of the non-COVID-19 were positive for aPLA (p=0.002). A significant positive correlation existed between respiratory SOFA component at days 3, 5, 8 and 10 and anti-phospholipid antibodies concentrations. Conclusion: Based on our results, for the first time, anti-phospholipid antibodies may be used as an independent indicator of respiratory organ failure in critically ill patients, to stratify and assess the prognosis of pulmonary origin sepsis and COVID-19.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 23-24
Author(s):  
Xiaomin Chen ◽  
Shuai Ren ◽  
Mengfei Ding ◽  
Yiqing Cai ◽  
Shunfeng Hu ◽  
...  

Introduction N6-methyladenosine (m6A) is the most abundant form of internal modifications in eukaryotic cells. m6A methylation is dynamically modulated by diverse types of regulators, including methyltransferases ('writers'), RNA binding proteins ('readers'), and demethylases ('erasers'). Growing evidence has shown that m6A methylation plays essential role in the development and progression of multiple cancers. However, the functions of m6A methylation in diffuse large B-cell lymphoma (DLBCL) remains undefined. Herein, we aimed to identify novel prognostic biomarker by m6A methylation regulators and explore its underlying mechanism in DLBCL. Methods The available expression data of 48 DLBCL samples and 337 normal samples and the clinical information from 928 DLBCL samples were separately extracted from three databases. The expression level of the m6A methylation regulators was analyzed and the LASSO Cox regression was employed to calculate risk score. Kaplan-Meier survival analysis, univariate and multivariate Cox regression analyses, and ROC curve analysis were conducted. GO and KEGG enrichement were applied to explore the potential function of KIAA1429 in DLBCL. The lymph node biopsies of DLBCL patients and reactive hyperplasia cases were collected with informed consent to detect the expression of KIAA1429. Results We firstly assessed the expression of m6A methylation regulators in DLBCL and found that most of them were dysregulated (p&lt;0.001; Figure 1A-B). Subsequently, we conjectured that the alteration of m6A methylation regulators ratio may be an inherent feature representing individual differences, and discovered that the proportion of diverse m6A RNA methylation regulators was weakly to strongly relevant (p&lt;0.05; Figure 1C). To evaluate the clinical prognostic value of m6A methylation regulators in DLBCL patients, 475 GCB DLBCL patients, which are intimately associated with double-hit lymphoma (DHL) were selected for further analysis. The univariate Cox regression analysis indicated that six genes were high-risk and were significantly associated with OS (p&lt;0.05, HR&gt;1; Figure 2A), including KIAA1429 (p=0.043, HR=1.743). Six genes were selected based on the minimum criteria of LASSO Cox regression to establish the risk signature (Figure 2B-C). The high-risk group had a significantly shorter OS in DLBCL patients (p&lt;0.001; Figure 2D). Furthermore, ROC curve, univariate, and multivariate Cox regression analyses showed that high m6A risk score acted as an independent indicator in DLBCL patients (p&lt;0.001; Figure 2E-G). We further evaluated the correlation between m6A methylation regulators and clinicopathological feature of DHL patients. KIAA1429 was found to be significantly associated with the IPI and DHL (p&lt;0.05; Figure 3A-B). High expression of KIAA1429 resulted in a negative correlation with OS in DHL patients (p=0.018; Figure 3C). However, no significant difference was found in the OS of non-DHL patients (Figure 3D). Univariate analyses indicated that KIAA1429 was an independent indicator in DLBCL patients (p=0.04; Figure 3E). Enhanced expression levels of KIAA1429 mRNA and protein were verified in DLBCL cell lines (Figure 3F-G). Additionally, samples from DLBCL patients also showed significantly high expression of KIAA1429 compared to the reactive hyperplasia group, with the positive rate of 93% (50 of 54) and 25% (5 of 20), respectively (Figure 3H). To investigate the underlying mechanism of KIAA1429, WGCNA was used to divide genes into different modules (Figure 4A-B). Subsequently, We selected the blue module including KIAA1429 to analyze their functions. A significant association between KIAA1429 expression and its module genes was identified (Figure 4C). GO and KEGG enrichment illuminated that KIAA1429 may act as a potential prognostic biomarker by regulating the mRNA processing and MAPK signaling pathways (Figure 4D-F). Conclusions In summary, we identified for the first time that m6A methylation regulators were dysregulated in DLBCL, and its risk score could exert as an independent prognostic indicator in GCB-DLBCL. More importantly, our study demonstrated the prognostic value of KIAA1429 in DHL patients. Further investigations on the mechanism of KIAA1429 in DLBCL may assist clinicians in achieving individualized treatment for this patient population. Keywords: m6A, KIAA1429, prognosis, mechanism, DLBCL Disclosures No relevant conflicts of interest to declare.


2008 ◽  
Vol 49 ◽  
Author(s):  
Santiago Basabe Serrano

RESUMEN: El estudio del comportamiento, dinámicas e interacciones de los jueces es un campo de la Ciencia Política que, a pesar de su fertilidad, ha sido analizado residualmente en América Latina. Frente a ello, este trabajo propone un modelo formal sobre el comportamiento de los vocales del Tribunal Constitucional de Ecuador (TC) a través del que se argumenta que las preferencias políticas de los jueces influyen en la dirección que asumen sus votos. Analizado en un amplio período de actividades del TC (1999-2003), y recurriendo a una base de datos de 441 observaciones, el modelo de regresión lineal produce resultados que verifican empíricamente la hipótesis propuesta. Recurriendo a una metodología múltiple, en la que destaca la construcción de un indicador independiente para medir la ubicación ideológica de los jueces, el trabajo concluye sugiriendo criterios a partir de los que se abona el terreno para la posterior exploración, no sólo del voto judicial sino también de las lógicas que conducen los procesos de toma de decisiones en cortes y tribunales de justicia.ABSTRACT: The study of the behavior, dynamic and interactions of the judges, is a field of the Political Science that, in spite of its fertility, has been analyzed residually in Latin America. As opposed to it, this work proposes an formal model of the behavior of the judges of the Constitutional Court of Ecuador (TC) in which is argued that the political preferences of the judges influence in the direction who assume their votes. Tested in an ample period of activities of the  TC (1999-2003), and resorting to a data base of 441 observations, the model of linear regression produces results that verify the propose explanatory hypothesis empirically. Resorting to a multiple methodology, in which it emphasizes the construction of an independent indicator to measure the ideological location of the judges, the work also concludes suggesting criteria from whom the land for the later exploration is paid, not only of the judicial vote but of the logics that the processes of decision making in courts of justice lead.


2016 ◽  
Vol 49 (3) ◽  
pp. 345-352 ◽  
Author(s):  
Kirian van der Weg ◽  
Mohamed Majidi ◽  
Joost D.E. Haeck ◽  
Jan G.P. Tijssen ◽  
Cynthia L. Green ◽  
...  

Author(s):  
Denis Gruzenkin ◽  
◽  
Aleksandr Kuznetsov ◽  
Igor Seleznev ◽  
◽  
...  

In the process of designing a production plan, one of the important steps is scheduling the execution of technological operations. The schedule can be created either manually or by using software. If the schedule is compiled by software, then several schedule generation algorithms are used to eliminate possible errors. A set of such algorithms is called a "batch". It is advisable that only different algorithms should be included in the batch. This is necessary to eliminate errors of the same type. Therefore, the search for clones of algorithms in the batch is an urgent production task. To solve it a diversity metric of algorithms was developed in the course of this work. Such a metric numerically (as a percentage) determines how much the algorithms differ. This metric is based on the properties of the algorithm execution. Algorithm traces are constructed in the N-dimensional space using the obtained points. The coordinates of the trace points are the values with which the algorithm works at each step of its execution or each of the control points of the algorithm execution. An experiment was performed to confirm the correctness of this metric. Within this experiment, the trace properties of three sorting algorithms were calculated. Based on the properties obtained, indicators were determined for comparing algorithms in the metric space. The experiment confirmed the effectiveness of using the diversity metric to find clones in the algorithms batch. The scope of this metric is not limited to clone searches. It can be used as an independent indicator of software quality.


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