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  • Open Access

    ARTICLE

    Elevated nuclear phospho-eIF4E body levels are associated with tumor progression and poor prognosis for acute myeloid leukemia

    HONG ZHOU1,*, XIAOFENG JIA1,2, FAN YANG1

    BIOCELL, Vol.45, No.3, pp. 711-722, 2021, DOI:10.32604/biocell.2021.014193

    Abstract Uncontrolled proliferation is a hallmark of cancer cells, yet the molecular mechanisms that contribute to this proliferation are unclear. Therapeutic treatment of cancer is suboptimal in many cases, with no accurate index by which to evaluate the success of treatment or patient prognosis. In this study, we explored the protein levels of nuclear phosphoeIF4E in acute myeloid leukemia (AML) cell lines and primary leukemia samples by Western blot and immunofluorescence and as well analyzed transcriptomes by RNA-seq. We found nuclear phospho-eIF4E, an exporter of oncogenic mRNAs, to be abundant in AML. Further, nuclear phospho-eIF4E abundance was significantly associated with tumor… More >

  • Open Access

    ARTICLE

    The Prognostic Value of Myocardial Deformation in Patients with Congenital Aortic Stenosis

    Roderick W. J. van Grootel, Allard T. van den Hoven, Dan Bowen, Tijmen Ris, Jolien W. Roos-Hesselink, Annemien E. van den Bosch*

    Congenital Heart Disease, Vol.16, No.3, pp. 221-232, 2021, DOI:10.32604/CHD.2021.013793

    Abstract Aims: To assess the prognostic value of left ventricular (LV) global longitudinal strain (GLS) and global longitudinal early diastolic strain rate (GLSre) with regard to cardiovascular events, as congenital aortic stenosis (AoS) is associated with significant mortality and morbidity but predictors for clinical outcome are scarce. Strain analysis provides a robust and reproducible method for early detection of LV dysfunction, which might be of prognostic value. Methods: This prospective study, included clinically stable patients with congenital AoS between 2011–2013. LV GLS and GLSre was performed in the apical 4, 3 and 2-chamber views using Tomtec software. The endpoint was a… More >

  • Open Access

    ARTICLE

    Prediction Models for COVID-19 Integrating Age Groups, Gender, and Underlying Conditions

    Imran Ashraf1, Waleed S. Alnumay2, Rashid Ali3, Soojung Hur1, Ali Kashif Bashir4, Yousaf Bin Zikria1,*

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3009-3044, 2021, DOI:10.32604/cmc.2021.015140

    Abstract The COVID-19 pandemic has caused hundreds of thousands of deaths, millions of infections worldwide, and the loss of trillions of dollars for many large economies. It poses a grave threat to the human population with an excessive number of patients constituting an unprecedented challenge with which health systems have to cope. Researchers from many domains have devised diverse approaches for the timely diagnosis of COVID-19 to facilitate medical responses. In the same vein, a wide variety of research studies have investigated underlying medical conditions for indicators suggesting the severity and mortality of, and role of age groups and gender on,… More >

  • Open Access

    ARTICLE

    Microenvironment and related genes predict outcomes of patients with cervical cancer: evidence from TCGA and bioinformatic analysis

    WENXI GAO1,2,#, QIANQIAN MA3,#, CHENYU TANG2,#, YUELI ZHAN4, YINONG DUAN2, HUIHUA NI5,*, YUNZHAO XU5,6,*

    BIOCELL, Vol.44, No.4, pp. 597-605, 2020, DOI:10.32604/biocell.2020.011328

    Abstract Cervical cancer (CESC) is one of the most common cancers and affects the female genital tract. Consistent HPV infection status has been determined to be a vital cause of tumorigenesis. HPV infection may induce changes to the immune system and limit the host’s immune response. Immunotherapy is therefore essential to improving the overall survival of both locally advanced and recurrent CESC patients. Using 304 relevant samples from TCGA, we assessed immune cell function in CESC patients to better understand the status of both tumor micro-environment cells and immune cells in CESC. Functional enrichment analysis, pathway enrichment analysis, and PPI network… More >

  • Open Access

    ARTICLE

    LncRNA-ATB Can Be a Biomarker for Diagnosis and Prognosis Evaluation of Non-Small Cell Lung Cancer

    Nan Geng1, Wenxia Hu1, Zhikun Liu2, Jingwei Su2, Wenyu Sun3, Shaonan Xie4, Cuimin Ding1,*

    Oncologie, Vol.22, No.4, pp. 245-254, 2020, DOI:10.32604/oncologie.2020.014125

    Abstract Objective: This study was set out to inquire into the expression and clinical significance of lncRNA activated by transforming growth factor β (LncRNA-ATB) and in cancer tissues of patients with non-small cell lung cancer (NSCLC). Methods: LncRNA-ATB in cancer tissues and adjacent tissues of 89 NSCLC patients was detected by quantitative real-time polymerase chain reaction (qRT-PCR), and its clinical diagnostic value in NSCLC was determined by receiver operating characteristic (ROC) curves. Based on the median expression of LncRNAATB in NSCLC tissues, 89 patients were allocated into high- and low-expression groups. The 3-year survival rate was calculated using Kaplan-Meier method and… More >

  • Open Access

    ARTICLE

    Prognostic and Predictive Significance of Eukaryotic Elongation Factor 1D (eEF1D) in Breast Cancer: A Potential Marker of Response to Endocrine Therapy

    Burcu BİTERGE SÜT1,*, Ayşe İKİNCİ KELEŞ2

    Oncologie, Vol.22, No.3, pp. 147-154, 2020, DOI:10.32604/oncologie.2020.014449

    Abstract Components of the protein synthesis machinery are subjected to alterations in cancer cells. eEF1D gene, which lies within the frequently amplified 8q24 locus, is one of the subunits of the human eukaryotic elongation factor complex. This study aimed to evaluate the prognostic and predictive significance of eEF1D in breast cancer using in silico analysis tools. For this purpose, we analyzed genomic alterations of the eEF1D gene using TCGA datasets via cBioPortal. Histopathological analysis was performed on patient tissue images obtained from cBioPortal and the Human Protein Atlas. Survival analysis was carried out using the KM Plotter and the prediction of… More >

  • Open Access

    ARTICLE

    FogMed: A Fog-Based Framework for Disease Prognosis Based Medical Sensor Data Streams

    Le Sun1,*, Qiandi Yu1, Dandan Peng1, Sudha Subramani2, Xuyang Wang1

    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 603-619, 2021, DOI:10.32604/cmc.2020.012515

    Abstract Recently, an increasing number of works start investigating the combination of fog computing and electronic health (ehealth) applications. However, there are still numerous unresolved issues worth to be explored. For instance, there is a lack of investigation on the disease prediction in fog environment and only limited studies show, how the Quality of Service (QoS) levels of fog services and the data stream mining techniques influence each other to improve the disease prediction performance (e.g., accuracy and time efficiency). To address these issues, we propose a fog-based framework for disease prediction based on Medical sensor data streams, named FogMed. This… More >

  • Open Access

    ARTICLE

    Clinical Significance of CA-199 and LINC01197 in Pancreatic Cancer

    Dan Zhang1, Shengyong Fu2,*, Jie Xu3, Xia Sun1

    Oncologie, Vol.22, No.2, pp. 95-105, 2020, DOI:10.32604/oncologie.2020.012439

    Abstract This study aimed to explore the expression and clinical significance of LINC01197 in the serum of patients with pancreatic cancer (PC). Methods: A total of 50 PC patients (patient group) treated in our hospital from March 2012 to April 2014 were collected, and another 50 healthy people (normal group) were collected for physical examination. The expression of LINC01197 in the serum of the two groups was detected by qRT-PCR method, and the expression of CA-199 in serum was detected by Roche automatic biochemistry. The expression and diagnostic values of CA-199 and LINC01197 in PC were analyzed, and the relationship between… More >

  • Open Access

    ARTICLE

    Contemporary outcomes and mortality risks of Ebstein anomaly: A single-center experience in Thailand

    Varisara Pornprasertchai, Chodchanok Vijarnsorn, Supaluck Kanjanauthai, Paweena Chungsomprasong, Prakul Chanthong, Kritvikrom Durongpisitkul, Jarupim Soongswang

    Congenital Heart Disease, Vol.14, No.4, pp. 619-627, 2019, DOI:10.1111/chd.12759

    Abstract Background: The increasing number of patients with Ebstein anomaly (EA) surviving into adulthood implies improvements in the treatments for the complex lesion. We revisited the clinical outcomes of patients with EA to demonstrate their “real world” survival.
    Objectives: To identify the survival and predictors of mortality in patients with EA who underwent medical or surgical management in the present era.
    Methods: All patients who had EA with atrioventricular concordance between 1994 and 2016 were retrospectively reviewed. Baseline characteristics, initial echocardio‐ graphic findings, treatments, and outcomes were explored. The survival analysis was performed at the end of 2017. A multivariate analysis… More >

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