Li Wan¹, Lin Zhang¹, Kai Fan, Zai-Xing Cheng, Quan-Chao Sun, Jian-Jun Wang

Oncology Research, Vol.24, No.3, pp. 161-170, 2016, DOI:10.3727/096504016X14618564639178

Abstract As a newly identified oncogenic long noncoding RNA (lncRNA), prostate cancer-associated transcript 6 (PCAT6) promoted cellular proliferation and colony formation of prostate cancer. However, the biological function of PCAT6 in lung cancer is still largely unknown. In this study, we found that PCAT6 is significantly increased in cancer tissues compared to normal tissues and positively correlates with metastasis of lung cancer in patients. We then examined PCAT6 expression in lung cancer cell lines and identified that PCAT6 expression was significantly elevated in lung cancer cells compared to normal human bronchial epithelial (NHBE) cells, especially in… More >

Boda Ying^*, Hong Huang^†, Hongfei Li^*, Meng Song^*, Sizhan Wu^*, Hongliang Ying^†

Oncology Research, Vol.25, No.9, pp. 1463-1470, 2017, DOI:10.3727/096504017X14878518291077

Abstract Procaine (PCA) is a conventional chemotherapeutic agent for osteosarcoma. Recent studies have proposed that the growth-inhibitory effect of PCA is through regulation of microRNAs (miRNAs). miR-133b has been proven to be a tumor suppressor in osteosarcoma, but whether it is involved in the antitumor effects of PCA on osteosarcoma has not been investigated. In this study, we aimed to explore the effects of PCA on osteosarcoma MG63 cells by regulation of miR-133b, as well as its underlying mechanisms. MG63 cells were treated with different concentrations of PCA, and cell viability, apoptosis, and miR-133b expression were… More >

Junkai Chang^*1, Weibo Xu^*1, Guangchao Liu^†, Xinyi Du^*, Xiaodong Li^*

Oncology Research, Vol.25, No.2, pp. 241-248, 2017, DOI:10.3727/096504016X14742891049118

Abstract Rab23, a novel member of the Rab GTPase family, was found to be implicated in the progression of some human cancers. However, what role Rab23 plays in prostate cancer (PCa) remains to be illustrated. In the present study, we investigated the expression pattern and roles of Rab23 in PCa. The study results showed that Rab23 was upregulated in PCa tissues and cell lines. Moreover, downregulation of Rab23 remarkably suppressed the proliferation, migration, and invasion of PCa cells. In addition, downregulation of Rab23 significantly downregulated the protein expression levels of Shh and Gli1. Furthermore, we found More >

Yu Sun¹, Kai Xu¹, Miao He, Guilian Fan, Hongming Lu

Oncology Research, Vol.26, No.4, pp. 565-572, 2018, DOI:10.3727/096504017X15044461944385

Abstract Glypican 5 (GPC5) belongs to the family of heparan sulfate proteoglycans (HSPGs). It was initially known as a regulator of growth factors and morphogens. Recently, there have been reports on its correlation with the tumorigenic process in the development of some cancers. However, little is known about its precise role in prostate cancer (PCa). In the present study, we explored the expression pattern and biological functions of GPC5 in PCa cells. Our results showed that GPC5 was lowly expressed in PCa cell lines. Upregulation of GPC5 significantly inhibited PCa cell proliferation and invasion in vitro More >

Chang Li^*, Shuohui Gao^*, Xiaoping Li^†, Chang Li^‡, Lianjun Ma^§

Oncology Research, Vol.26, No.2, pp. 209-217, 2018, DOI:10.3727/096504017X14944585873622

Abstract Colon cancer is one of the most lethal varieties of cancer. Chemotherapy remains as one of the principal treatment approaches for colon cancer. The anticancer activity of procaine (PCA), which is a local anesthetic drug, has been explored in different studies. In our study, we aimed to explore the anticancer effect of PCA on colon cancer and its underlying mechanism. The results showed that PCA significantly inhibited cell viability, increased the percentage of apoptotic cells, and decreased the expression level of RhoA in HCT116 cells in a dose-dependent manner (p<0.05 or p<0.01). Moreover, PCA increased the… More >

Yizhao Wang^*

CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.3, pp. 3029-3045, 2024, DOI:10.32604/cmes.2024.046270

Abstract Near-fault impulsive ground-shaking is highly destructive to engineering structures, so its accurate identification ground-shaking is a top priority in the engineering field. However, due to the lack of a comprehensive consideration of the ground-shaking characteristics in traditional methods, the generalization and accuracy of the identification process are low. To address these problems, an impulsive ground-shaking identification method combined with deep learning named PCA-LSTM is proposed. Firstly, ground-shaking characteristics were analyzed and ground-shaking the data was annotated using Baker’s method. Secondly, the Principal Component Analysis (PCA) method was used to extract the most relevant features related More >

Xuecheng Yu¹, Yan Huang², Yu Zhang¹, Mingyang Song¹, Zhenhong Jia^1,3,*

CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 473-492, 2024, DOI:10.32604/cmc.2023.044999

Abstract With the increasing dimensionality of network traffic, extracting effective traffic features and improving the identification accuracy of different intrusion traffic have become critical in intrusion detection systems (IDS). However, both unsupervised and semisupervised anomalous traffic detection methods suffer from the drawback of ignoring potential correlations between features, resulting in an analysis that is not an optimal set. Therefore, in order to extract more representative traffic features as well as to improve the accuracy of traffic identification, this paper proposes a feature dimensionality reduction method combining principal component analysis and Hotelling’s T² and a multilayer convolutional bidirectional… More >

Jaimon Dennis Quadros¹, Sher Afghan Khan², Abdul Aabid^3,*, Muneer Baig³

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2331-2352, 2023, DOI:10.32604/cmes.2023.028925

Abstract The application of abruptly enlarged flows to adjust the drag of aerodynamic vehicles using machine learning models has not been investigated previously. The process variables (Mach number (M), nozzle pressure ratio (η), area ratio (α), and length to diameter ratio (γ )) were numerically explored to address several aspects of this process, namely base pressure (β) and base pressure with cavity (β_cav). In this work, the optimal base pressure is determined using the PCA-BAS-ENN based algorithm to modify the base pressure presetting accuracy, thereby regulating the base drag required for smooth flow of aerodynamic vehicles. Based… More > Graphic Abstract

Okba Taouali^1,*, Sawcen Bacha², Khaoula Ben Abdellafou¹, Ahamed Aljuhani¹, Kamel Zidi³, Rehab Alanazi¹, Mohamed Faouzi Harkat⁴

Computer Systems Science and Engineering, Vol.47, No.2, pp. 1593-1609, 2023, DOI:10.32604/csse.2023.039984

Abstract Introducing IoT devices to healthcare fields has made it possible to remotely monitor patients’ information and provide a proper diagnosis as needed, resulting in the Internet of Medical Things (IoMT). However, obtaining good security features that ensure the integrity and confidentiality of patient’s information is a significant challenge. However, due to the computational resources being limited, an edge device may struggle to handle heavy detection tasks such as complex machine learning algorithms. Therefore, designing and developing a lightweight detection mechanism is crucial. To address the aforementioned challenges, a new lightweight IDS approach is developed to… More >

Siyu Lu¹, Ligao Cai¹, Zhixin Liu², Shan Liu¹, Bo Yang¹, Lirong Yin³, Mingzhe Liu⁴, Wenfeng Zheng^1,*

Computer Systems Science and Engineering, Vol.47, No.2, pp. 1881-1899, 2023, DOI:10.32604/csse.2023.034853

Abstract With the development of Internet technology, the explosive growth of Internet information presentation has led to difficulty in filtering effective information. Finding a model with high accuracy for text classification has become a critical problem to be solved by text filtering, especially for Chinese texts. This paper selected the manually calibrated Douban movie website comment data for research. First, a text filtering model based on the BP neural network has been built; Second, based on the Term Frequency-Inverse Document Frequency (TF-IDF) vector space model and the doc2vec method, the text word frequency vector and the More >