RUI ZHANG^1,2,#, PENG ZHOU^1,3,#, XIA OU⁴, PEIZHU ZHAO², XIJING GUO², MIAN XI^5,*, CHEN QING^1,*

Oncology Research, Vol.31, No.6, pp. 887-897, 2023, DOI:10.32604/or.2023.030184

Abstract Esophageal squamous cell carcinoma (ESCC) is among the most prevalent causes of cancer-related death in patients worldwide. Resistance to immunotherapy and chemotherapy results in worse survival outcomes in ESCC. It is urgent to explore the underlying molecular mechanism of immune evasion and chemoresistance in ESCC. Here, we conducted RNA-sequencing analysis in ten ESCC tissues from cisplatin-based neoadjuvant chemotherapy patients. We found that DMRTA1 was extremely upregulated in the non-pathologic complete response (non-pCR) group. The proliferation rate of esophageal squamous carcinoma cells was markedly decreased after knockdown of DMRTA1 expression, which could increase cisplatin sensitivity in ESCC. Additionally, suppression of DMRTA1… More >

FANGMEI XIE^1,#, NAITE XI^1,#, ZEPING HAN^1,#, WENFENG LUO¹, JIAN SHEN¹, JINGGENG LUO², XINGKUI TANG², TING PANG¹, YUBING LV¹, JIABING LIANG¹, LIYIN LIAO¹, HAOYU ZHANG¹, YONG JIANG¹, YUGUANG LI^3,*, JINHUA HE^1,*

Oncology Research, Vol.31, No.6, pp. 877-885, 2023, DOI:10.32604/or.2023.029494

Abstract Spatial omics technology integrates the concept of space into omics research and retains the spatial information of tissues or organs while obtaining molecular information. It is characterized by the ability to visualize changes in molecular information and yields intuitive and vivid visual results. Spatial omics technologies include spatial transcriptomics, spatial proteomics, spatial metabolomics, and other technologies, the most widely used of which are spatial transcriptomics and spatial proteomics. The tumor microenvironment refers to the surrounding microenvironment in which tumor cells exist, including the surrounding blood vessels, immune cells, fibroblasts, bone marrow-derived inflammatory cells, various signaling molecules, and extracellular matrix. A… More >

BIN ZHANG^1,#, JIANYI ZHAO^3,#, YONGZHI WANG^2,#, HUA XU¹, BO GAO¹, GUANGNING ZHANG¹, BIN HAN¹, GUOHONG SONG¹, JUNCHEN ZHANG^1,*, WEI MENG^1,*

Oncology Research, Vol.31, No.6, pp. 917-927, 2023, DOI:10.32604/or.2023.030425

Abstract Glioblastoma (GBM) is the most aggressive cancer of the brain and has a high mortality rate due to the lack of effective treatment strategy. Clarification of molecular mechanisms of GBM’s characteristic invasive growth are urgently needed to improve the poor prognosis. Single-nuclear sequencing of primary and recurrent GBM samples revealed that levels of M3 muscarinic acetylcholine receptor (CHRM3) were significantly higher in the recurrent samples than in the primary samples. Moreover, immunohistochemical staining of an array of GBM samples showed that high levels of CHRM3 correlated with poor prognosis, consistent with The Cancer Genome Atlas database. Knockdown of CHRM3 inhibited… More >

Shu Li^1,*, Yan Li¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.09078

Abstract In this paper, two-dimensional (2D) orthotropic augmented finite element method (A-FEM) is applied to account for progressive failure of composite laminates under transverse loading, which considers all major cracking modes (delamination, fiber kinking/rupture matrix cracking). High-fidelity simulations of different stacking composite laminates under transverse loading are implemented. Both predicted load−deflection curves and damage evolution are in good agreement with that of experimental results, which demonstrates the numerical capability of A-FEM. In addition, the influence of stacking sequence on the failure mechanism is also studied by predicted damage evolution of laminates with different stacking sequence. Results show that the tensile matrix… More >

Liang Wang^1,*, Haibo Su¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09107

Abstract This work proposes a novel multi-phase-field formulation to characterize the distinct damage mechanisms and quasi-brittle fracture behaviors in FRC. The phase field driving forces for each failure mechanisms are first defined based on an anisotropic energy split scheme. Then, the PF degradation functions pertinent to each failure mode are properly defined with corresponding material fracture quantities, which enables the derivation of embedded Hashin failure criteria for fiber- and matrix failures respectively. Furthermore, the material damaged stiffness is redefined within the anisotropic CDM framework, and a linear CZM is mathematically derived for each of the typical failure mechanisms. Finally, the model… More >

Peng Hu^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09880

Abstract Shallow water hydro-sediment-morphodynamic modelling plays significant role in several aspects (e.g., river and estuarine engineering). In response to climate change and intense human activities, there have been dramatic changes in river water and sediment flux conditions, and thus sediment transport intensity and bed morphological evolution differs from traditional characteristics. These necessitates fully coupled shallow water hydro-sediment-morphodynamic modelling, which however may damage the computational efficiency. Here we report some progresses in developing a computationally efficient version of fully coupled shallow water hydro-sediment-morphodynamic model and its preliminary applications in bottle-neck navigational waterways of the Yangtze river. More >

CARL RANDALL HARREL¹, VALENTIN DJONOV², ANA VOLAREVIC³, DRAGICA PAVLOVIC⁴, VLADISLAV VOLAREVIC^4,5,*

BIOCELL, Vol.47, No.8, pp. 1757-1769, 2023, DOI:10.32604/biocell.2023.028567

Abstract Exosomes derived from mesenchymal stem cells (MSC-Exos) are nano-sized extracellular vesicles enriched with bioactive molecules, such as microRNAs, enzymes, cytokines, chemokines, immunomodulatory, trophic, and growth factors. These molecules regulate the survival, phenotype, and function of malignant and tumor-infiltrated immune cells. Due to their nano-size and bilayer lipid envelope, MSC-Exos can easily bypass biological barriers and may serve as drug carriers to deliver chemotherapeutics directly into the tumor cells. Here, we summarize current knowledge regarding molecular mechanisms responsible for MSC-Exos-dependent modulation of tumor progression and discuss insights regarding the therapeutic potential of MSC-Exos in the treatment of malignant diseases. More > Graphic Abstract

Ruifeng Zhao¹, Zhijun Wu^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.1, pp. 1-2, 2023, DOI:10.32604/icces.2023.09814

Abstract The combined finite-discrete element method (FDEM) can effectively simulate the continuousdiscontinuous failure process of rocks, and is now widely adopted to investigate the issues related to rock mechanics and engineering. The conventional FDEM requires pre-defines constitutive models to calculate the element stress from element deformations [1]. However, the constitutive model used in conventional FDEM is obtained by empirical fitting of rock mechanics test data, and large amount of rock physical and mechanical information present in the test data, such as the nonlinear properties of rock presented in the initial compaction stage, are lost in the process of fitting test data… More >

Heba S. Mohammed¹, Mazen Nassar^2,3, Refah Alotaibi¹, Ahmed Elshahhat^4,*

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2761-2793, 2023, DOI:10.32604/cmes.2023.028826

Abstract A new extended exponential lifetime model called Harris extended-exponential (HEE) distribution for data modelling with increasing and decreasing hazard rate shapes has been considered. In the reliability context, researchers prefer to use censoring plans to collect data in order to achieve a compromise between total test time and/or test sample size. So, this study considers both maximum likelihood and Bayesian estimates of the Harris extended-exponential distribution parameters and some of its reliability indices using a progressive Type-II censoring strategy. Under the premise of independent gamma priors, the Bayesian estimation is created using the squared-error and general entropy loss functions. Due… More >

Junling Qiu^*, Huihui Sun, Shuya Wang

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2077-2109, 2023, DOI:10.32604/cmes.2023.027353

Abstract As indispensable components of superconducting circuit-based quantum computers, Josephson junctions determine how well superconducting qubits perform. Reverse Monte Carlo (RMC) can be used to recreate Josephson junction’s atomic structure based on experimental data, and the impact of the structure on junctions’ properties can be investigated by combining different analysis techniques. In order to build a physical model of the atomic structure and then analyze the factors that affect its performance, this paper briefly reviews the development and evolution of the RMC algorithm. It also summarizes the modeling process and structural feature analysis of the Josephson junction in combination with different… More >