Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (234)
  • Open Access

    ARTICLE

    Long Noncoding RNA LINC0086 Functions as a Tumor Suppressor in Nasopharyngeal Carcinoma by Targeting miR-214

    Jie Guo*†, Jinqi Ma, Guosheng Zhao, Guocai Li, Yunfeng Fu, Yanwei Luo, Rong Gui

    Oncology Research, Vol.25, No.7, pp. 1189-1197, 2017, DOI:10.3727/096504017X14865126670075

    Abstract Nasopharyngeal carcinoma (NPC) is a distinct head and neck cancer, which is occurring at a high frequency in Southern China. Emerging studies have shown that long noncoding RNAs (lncRNAs) play a critical role in carcinogenesis and progression. In this study, we established a comprehensive lncRNA profile in NPC and found that 35 lncRNAs were differentially expressed in NPC. We found that LINC0086 was decreased in NPC patient serum samples and tissues. The Kaplan–Meier survival curve showed that patients with high LINC0086 expression had a higher survival rate than those with low LINC0086 expression. LINC0086 expression… More >

  • Open Access

    ARTICLE

    miR-126 Functions as a Tumor Suppressor by Targeting SRPK1 in Human Gastric Cancer

    Qiaorong Li*, Geng Wang, Hong Wang

    Oncology Research, Vol.26, No.9, pp. 1345-1353, 2018, DOI:10.3727/096504018X15180508535835

    Abstract The expression of miR-126 and serine–arginine protein kinase 1 (SRPK1) are linked to tumor development; nevertheless, its role in the tumor growth and invasion of gastric cancer (GC) and the underlying mechanism have not been clarified. Here the expression and role of miR-126 and SRPK1 were investigated in GC tissues and cells by in vitro assay, and then targets of miR-126 were identified by dual-luciferase reporter assay. In this study, miR-126 expression was downregulated and associated with lymph node metastasis and poor prognosis as well as SRPK1 expression. In vitro assay revealed that miR-126 obviously More >

  • Open Access

    ARTICLE

    miR-641 Functions as a Tumor Suppressor by Targeting MDM2 in Human Lung Cancer

    Qinglong Kong, Nan Shu, Jun Li, Ning Xu

    Oncology Research, Vol.26, No.5, pp. 735-741, 2018, DOI:10.3727/096504017X15021536183490

    Abstract Lung cancer is the leading cause of deaths due to cancer. Studies suggest an important role of microRNAs (miRNAs) in a variety of cancers, including lung cancer. In the present study, we evaluated the role of miR- 641 in human lung cancer A549 cells. Quantitative RT-PCR and Western blot were used to measure mRNA and protein expression, respectively. Cell viability and cell apoptosis were respectively measured by MTT assay and flow cytometry. In addition, luciferase activity assay was used to identify the target of miR-641. The expression of miR-641 was downregulated in lung cancer tissues More >

  • Open Access

    ARTICLE

    MicroRNA-520b Functions as a Tumor Suppressor in Colorectal Cancer by Inhibiting Defective in Cullin Neddylation 1 Domain Containing 1 (DCUN1D1)

    Jing Xiao*, Guang Li, Jingyu Zhou, Shalong Wang, Dongcai Liu, Guoshun Shu, Jianping Zhou, Feng Ren

    Oncology Research, Vol.26, No.4, pp. 593-604, 2018, DOI:10.3727/096504017X14920318811712

    Abstract MicroRNAs (miRs), a class of small noncoding RNAs, are important regulators for gene expression through directly binding to the 3'-untranslated region (3'-UTR) of their target mRNA. Recently, downregulation of miR-520b has been observed in several common human cancers. However, the exact role of miR-520b in colorectal cancer (CRC) has not previously been studied. In this study, our data showed that miR-520b was significantly downregulated in CRC and cell lines when compared with adjacent normal tissues and a normal intestinal epithelial cell line. Low expression of miR-520b was notably associated with the malignant progress and a… More >

  • Open Access

    ARTICLE

    miR-103 Functions as a Tumor Suppressor by Directly Targeting Programmed Cell Death 10 in NSCLC

    Dong Yang, Jian-Jun Wang, Jin-Song Li, Qian-Yu Xu

    Oncology Research, Vol.26, No.4, pp. 519-528, 2018, DOI:10.3727/096504017X15000757094686

    Abstract Non-small cell lung cancer (NSCLC) accounts for about 85% of all lung cancer cases. Absence of miR-103 has recently been identified to be associated with metastatic capacity of primary lung tumors. However, the exact role of miR-103 in NSCLC and the molecular mechanism are unclear. In the present study, we showed that miR-103 expression was reduced in NSCLC tissues and cells. miR-103 expression was negatively correlated with tumor size and stage. The overall survival was longer in patients with higher miR-103 level than in those with lower miR-103 expression. miR-103 inhibited cell proliferation in A549… More >

  • Open Access

    ARTICLE

    Long Noncoding RNA LINC01133 Functions as an miR-422a Sponge to Aggravate the Tumorigenesis of Human Osteosarcoma

    Hai-Feng Zeng*, Hai-Yan Qiu, Fa-Bo Feng

    Oncology Research, Vol.26, No.3, pp. 335-343, 2018, DOI:10.3727/096504017X14907375885605

    Abstract Long noncoding RNAs (lncRNAs) have been verified to participate in various types of malignant tumors, including osteosarcoma (OS), which is the most common primary bone tumor with outstanding morbidity. Although an increasing number of lncRNAs have been reported to mediate the occurrence of OS, the potential mechanisms are still unclear. This study intends to uncover the mechanism by which lncRNA LINC01133 functions as an miRNA sponge to mediate OS tumorigenicity. In this study, we found that the expression level of LINC01133 was statistically upregulated in OS tumor tissue and cell lines compared to noncancerous tissues More >

  • Open Access

    ARTICLE

    Development of a Three-Dimensional Multiscale Octree SBFEM for Viscoelastic Problems of Heterogeneous Materials

    Xu Xu1, Xiaoteng Wang1, Haitian Yang1, Zhenjun Yang2, Yiqian He1,3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.2, pp. 1831-1861, 2024, DOI:10.32604/cmes.2024.048199

    Abstract The multiscale method provides an effective approach for the numerical analysis of heterogeneous viscoelastic materials by reducing the degree of freedoms (DOFs). A basic framework of the Multiscale Scaled Boundary Finite Element Method (MsSBFEM) was presented in our previous works, but those works only addressed two-dimensional problems. In order to solve more realistic problems, a three-dimensional MsSBFEM is further developed in this article. In the proposed method, the octree SBFEM is used to deal with the three-dimensional calculation for numerical base functions to bridge small and large scales, the three-dimensional image-based analysis can be conveniently… More >

  • Open Access

    ARTICLE

    Artificial Neural Network Modeling for Predicting Thermal Conductivity of EG/Water-Based CNC Nanofluid for Engine Cooling Using Different Activation Functions

    Md. Munirul Hasan1, Md Mustafizur Rahman2,*, Mohammad Saiful Islam3, Wong Hung Chan4, Yasser M. Alginahi5, Muhammad Nomani Kabir6, Suraya Abu Bakar1, Devarajan Ramasamy2

    Frontiers in Heat and Mass Transfer, Vol.22, No.2, pp. 537-556, 2024, DOI:10.32604/fhmt.2024.047428

    Abstract A vehicle engine cooling system is of utmost importance to ensure that the engine operates in a safe temperature range. In most radiators that are used to cool an engine, water serves as a cooling fluid. The performance of a radiator in terms of heat transmission is significantly influenced by the incorporation of nanoparticles into the cooling water. Concentration and uniformity of nanoparticle distribution are the two major factors for the practical use of nanofluids. The shape and size of nanoparticles also have a great impact on the performance of heat transfer. Many researchers are… More > Graphic Abstract

    Artificial Neural Network Modeling for Predicting Thermal Conductivity of EG/Water-Based CNC Nanofluid for Engine Cooling Using Different Activation Functions

  • Open Access

    REVIEW

    Review of Collocation Methods and Applications in Solving Science and Engineering Problems

    Weiwu Jiang1, Xiaowei Gao1,2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.1, pp. 41-76, 2024, DOI:10.32604/cmes.2024.048313

    Abstract The collocation method is a widely used numerical method for science and engineering problems governed by partial differential equations. This paper provides a comprehensive review of collocation methods and their applications, focused on elasticity, heat conduction, electromagnetic field analysis, and fluid dynamics. The merits of the collocation method can be attributed to the need for element mesh, simple implementation, high computational efficiency, and ease in handling irregular domain problems since the collocation method is a type of node-based numerical method. Beginning with the fundamental principles of the collocation method, the discretization process in the continuous… More >

  • Open Access

    ARTICLE

    Synergistic Swarm Optimization Algorithm

    Sharaf Alzoubi1, Laith Abualigah2,3,4,5,6,7,8,*, Mohamed Sharaf9, Mohammad Sh. Daoud10, Nima Khodadadi11, Heming Jia12

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.3, pp. 2557-2604, 2024, DOI:10.32604/cmes.2023.045170

    Abstract This research paper presents a novel optimization method called the Synergistic Swarm Optimization Algorithm (SSOA). The SSOA combines the principles of swarm intelligence and synergistic cooperation to search for optimal solutions efficiently. A synergistic cooperation mechanism is employed, where particles exchange information and learn from each other to improve their search behaviors. This cooperation enhances the exploitation of promising regions in the search space while maintaining exploration capabilities. Furthermore, adaptive mechanisms, such as dynamic parameter adjustment and diversification strategies, are incorporated to balance exploration and exploitation. By leveraging the collaborative nature of swarm intelligence and More >

Displaying 1-10 on page 1 of 234. Per Page