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  • Open Access

    REVIEW

    Role of GM3 ganglioside in the pathology of some progressive human diseases and prognostic importance of serum anti-GM3 antibodies

    VERA KOLYOVSKA1,#, SONYA IVANOVA2, DESISLAVA DRENSKA3, DIMITAR MASLAROV3,4,#, RENETA TOSHKOVA1,*

    BIOCELL, Vol.45, No.6, pp. 1485-1494, 2021, DOI:10.32604/biocell.2021.016250

    Abstract Glycosphingolipids (gangliosides) have been characterized as important biological molecules with a key role as regulators in many physiological processes on cellular, tissue, organ, and organism levels. The deviations in their normal amounts, production, and metabolism are very often related to the development of many multi-factor socially important diseases. GM3 ganglioside, as a small molecule, plays important roles in the cascade regulatory pathways in the pathology of many disorders like neurodegenerative diseases, autoimmune diseases, inflammation, diabetes, malignant transformation, and others. Ganglioside GM3 and its derivatives are membrane-bound glycosphingolipids composed of an oligosaccharide head structure containing one… More >

  • Open Access

    ARTICLE

    Immune prognostic implications of PSMD14 and its associated genes signatures in hepatocellular carcinoma

    CHUAN TIAN1, MUBALAKE ABUDOUREYIMU1, XINRONG LIN1, HAO ZHOU2, XIAOYUAN CHU1, RUI WANG1,*

    BIOCELL, Vol.45, No.6, pp. 1527-1541, 2021, DOI:10.32604/biocell.2021.016203

    Abstract PSMD14 played a vital role in initiation and progression of hepatocellular carcinoma (HCC). However, PSMD14 and its-related genes for the immune prognostic implications of HCC patients have rarely been analyzed. Messenger RNA expression profiles and clinicopathological data were downloaded from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) database-Liver Hepatocellular Carcinoma (LIHC). Additionally, we used multi-dimensional bioinformatics analysis to construct and validate a PSMD14-based immune prognostic signature (including RBM45, PSMD1, OLA1, CCT6A, LCAT and IVD) for HCC prognosis prediction. Patients in the high-risk group shown significantly poorer survival than patients in the More >

  • Open Access

    ARTICLE

    Serum Long Non-Coding RNA CCAT2 is a Potential Diagnostic and Prognostic Marker for Gastric Cancer

    Fei Han1, Jianghong Qu2, Fengyue Li1, Dapeng Zhang3, Jiangming Qu4, Guanghua Li5,*

    Oncologie, Vol.23, No.1, pp. 131-140, 2021, DOI:10.32604/Oncologie.2021.014153

    Abstract Aim: This study aims to explore the role of serum long non-coding RNA (lncRNA) colon cancer-associated transcript 2 (CCAT2) as a diagnostic marker for gastric cancer (GC). Methods: We recruited 76 patients with GC admitted to our hospital (the observation group, OG) and 83 healthy volunteers undergoing physical examinations during the same period (the control group, CG). CCAT2 expression was tested and its correlation with clinicopathological characteristics of GC was analyzed. We also explored the value of CCAT2 in assessing the treatment efficacy, predicting the fatality, and evaluating the prognosis of patients. Results: We detected higher… 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.… 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… More >

  • Open Access

    ARTICLE

    Analysis of the Effects of Different Surgical Procedures for the Treatment of Thyroid Cancer on the Expression Levels of IL-17, IL-35, and SIL-2R and the Prognostic Factors

    Chuanwei Xu1, Renju Ding2, Chuanping Xu3,*

    Oncologie, Vol.22, No.1, pp. 43-51, 2020, DOI:10.32604/oncologie.2020.012445

    Abstract To analyze the effects of different surgical procedures for the treatment of thyroid cancer on the expression levels of serum interleukin-17 (IL-17), IL-35, soluble interleukin-2 receptor (SIL-2R), and the prognostic factors. Seventy-eight patients with differentiated thyroid cancer were selected and grouped as control group (CG) (n = 39, underwent subtotal thyroidectomy) and observation group (OG) (n = 39, underwent total thyroidectomy). The serum IL-17, IL-35, and SIL- 2R expression levels; the incidence of complications; and the differentiated thyroid carcinoma (DTC) relapse rate were compared between the two groups. The serum IL-17 and SIL-2R levels were… More >

  • Open Access

    ARTICLE

    Expression Changes, Prognostic Analysis and Risk Factors of miR-625-3p and miR-449a in Osteosarcoma Patients after Surgery

    Hui Zhang, Zhan Wang, Lin Liu, Fuqiang Zhang, Yuxin Song, Yaowen Qian*

    Oncologie, Vol.22, No.1, pp. 23-33, 2020, DOI:10.32604/oncologie.2020.012493

    Abstract The expression changes of miR-625-3p and miR-449a in osteosarcoma patients after surgery is the critical study in this paper. Analysis of their prognosis and risk factors can be helpful in understanding the prognostic value for clinical purposes. Fifty-eight patients with osteosarcoma diagnosed in our hospital were considered as the research group (RG), and 52 health subjects at the same time were collected as the control group (CG). Fluorescence quantitative PCR (RTPCR) was employed to test the expression levels of miR-625-3p and miR-449a in the serum of subjects in both groups before surgery and patients in… More >

  • Open Access

    ARTICLE

    Ensemble Recurrent Neural Network-Based Residual Useful Life Prognostics of Aircraft Engines

    Jun Wu1,*, Kui Hu1, Yiwei Cheng2, Ji Wang1, Chao Deng2,*, Yuanhan Wang3

    Structural Durability & Health Monitoring, Vol.13, No.3, pp. 317-329, 2019, DOI:10.32604/sdhm.2019.05571

    Abstract Residual useful life (RUL) prediction is a key issue for improving efficiency of aircraft engines and reducing their maintenance cost. Owing to various failure mechanism and operating environment, the application of classical models in RUL prediction of aircraft engines is fairly difficult. In this study, a novel RUL prognostics method based on using ensemble recurrent neural network to process massive sensor data is proposed. First of all, sensor data obtained from the aircraft engines are preprocessed to eliminate singular values, reduce random fluctuation and preserve degradation trend of the raw sensor data. Secondly, three kinds More >

  • Open Access

    ARTICLE

    The Use of High-Performance Fatigue Mechanics and the Extended Kalman / Particle Filters, for Diagnostics and Prognostics of Aircraft Structures

    Hai-Kun Wang1,2, Robert Haynes3, Hong-Zhong Huang1, Leiting Dong2,4, Satya N. Atluri2

    CMES-Computer Modeling in Engineering & Sciences, Vol.105, No.1, pp. 1-24, 2015, DOI:10.3970/cmes.2015.105.001

    Abstract In this paper, we propose an approach for diagnostics and prognostics of damaged aircraft structures, by combing high-performance fatigue mechanics with filtering theories. Fast & accurate deterministic analyses of fatigue crack propagations are carried out, by using the Finite Element Alternating Method (FEAM) for computing SIFs, and by using the newly developed Moving Least Squares (MLS) law for computing fatigue crack growth rates. Such algorithms for simulating fatigue crack propagations are embedded in the computer program Safe- Flaw, which is called upon as a subroutine within the probabilistic framework of filter theories. Both the extended… More >

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