Jieren Cheng^1,3, Jimei Li^1,3,*, Faqiang Zeng^1,3, Zhicong Tao^1,3, Yue Yang^2,3

CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 281-298, 2024, DOI:10.32604/cmc.2024.051816

Abstract Contrastive learning is a significant research direction in the field of deep learning. However, existing data augmentation methods often lead to issues such as semantic drift in generated views while the complexity of model pre-training limits further improvement in the performance of existing methods. To address these challenges, we propose the Efficient Clustering Network based on Matrix Factorization (ECN-MF). Specifically, we design a batched low-rank Singular Value Decomposition (SVD) algorithm for data augmentation to eliminate redundant information and uncover major patterns of variation and key information in the data. Additionally, we design a Mutual Information-Enhanced More >

MINGYUE HUANG^1,#, JUNFEI DAI^1,#, XIANLIANG ZHONG², JIN WANG², JIANZHONG XU², BO DU^2,*

BIOCELL, Vol.48, No.6, pp. 889-896, 2024, DOI:10.32604/biocell.2024.050097

Abstract Chronic subdural hematoma (CSDH) is a disease characterized by capsuled blood products that progressively occupy the intracranial space, causing intracranial hypertension and compression in the brain. CSDH frequently occurs in all demographics, especially in the elderly, but the pathogenesis of CSDH remains unclear. In this review, we discuss the origin, development, and current treatment strategies of CSDH. For the first time, we analyzed the cellular and molecular compositions of hematoma membranes with a focus on neomembrane formation, a complex early-stage interactive event in hematoma pathogenesis. We hypothesize that in patients with CSDH, dural border cells… More >

Shengchao Zhang, Jun Yuan, Ruheng Zheng

Oncology Research, Vol.24, No.4, pp. 263-269, 2016, DOI:10.3727/096504016X14666990347392

Abstract Recently, deubiquitinating enzymes (DUBs) are emerging as new regulators in cancer progression. However, understanding of the involvement of DUBs in non-small cell lung cancer (NSCLC) is just beginning. In this study, we investigated the expression and biological function of ubiquitin-specific peptidase 17 (USP17) in NSCLC progression in vitro and in vivo. We found that the expression of USP17 was higher than in a normal control. We further efficiently depleted USP17 expression in two different NSCLC cells, A549 and H1299. The anchorage-independent growth ability of these cells, estimated by soft agar colony formation assay, was significantly More >

Wenliang Tan^*†1, Sicong Zhu^*†1, Jun Cao^*†, Lei Zhang^*†, Wenda Li^*†, Kairui Liu^*†, Jinyi Zhong^†, Changzhen Shang^*†, Yajin Chen^*†

Oncology Research, Vol.25, No.9, pp. 1543-1553, 2017, DOI:10.3727/096504017X14886444100783

Abstract Sorafenib has been globally approved as the standard treatment for patients with advanced hepatocellular carcinoma (HCC). However, the response rate of HCC patients to sorafenib is limited because of tumor recurrence and metastasis. Therefore, seeking combined therapeutic strategies with sorafenib is necessary to improve the antitumor efficiency. Here we demonstrated that expression of MMP-2 is positively correlated with the migration ability of HCC cells. Cells with a higher MMP-2 expression (SK-HEP-1 cells) were less sensitive to sorafenib than those with lower MMP-2 expression (HepG2 cells). Cotreatment of cells with SB-3CT and sorafenib more strongly inhibited… More >

Yan Zhen^*1, Jia Liu^*†1, Yujie Huang^*†1, Yajun Wang^*, Wen Li^*†, Jun Wu^*†

Oncology Research, Vol.25, No.7, pp. 1109-1116, 2017, DOI:10.3727/096504016X14800889609439

Abstract Although increasing evidence indicates that the deregulation of microRNAs (miRNAs) contributes to tumorigenesis and invasion, little is known about the role of miR-133b in human non-small cell lung cancer (NSCLC). In the present study, we revealed that the introduction of miR-133b dramatically suppressed NSCLC cell growth, migration, and invasion in vitro. On the contrary, miR-133b inhibitors promoted cell growth, migration, and invasion in vitro. Further studies revealed that matrix metallopeptidase 9 (MMP9) is a direct target gene of miR-133b. Silencing MMP9 inhibited cell growth, migration, and invasion of NSCLC cells, which was consistent with the More >

Paweena Dana^*†‡, Ryusho Kariya^‡, KulthidaVaeteewoottacharn^*†, Kanlayanee Sawanyawisuth^*†, Wunchana Seubwai^†§, Kouki Matsuda^‡, Seiji Okada^‡, Sopit Wongkham^*†

Oncology Research, Vol.25, No.7, pp. 1047-1059, 2017, DOI:10.3727/096504016X14813899000565

Abstract CD147 is a transmembrane protein that can induce the expression and activity of matrix metalloproteinases (MMPs). Expression of CD147 has been shown to potentiate cell migration, invasion, and metastasis of cancer. In this study, the critical role of CD147 in metastasis was elucidated using CD147-overexpressing cholangiocarcinoma (CCA) cells in vitro and in vivo. The molecular mechanism, demonstrated herein, supported the hypothesis that metastasis increased in CD147-overexpressing cells. Five CD147-overexpressing clones (Ex-CD147) were established from a low CD147-expressing CCA cell line, KKU-055, using lentivirus containing pReceiver-Lenti-CD147. The metastatic capability was determined using the tail vein injection… More >

Xinyang Liu^*1, Zhichao Wang^†1, Guoliang Zhang^‡1, Qikun Zhu^‡, Hui Zeng^‡, Tao Wang^‡, Feng Gao^‡, Zhan Qi^‡, Jinwen Zhang^§, Rui Wang^‡

Oncology Research, Vol.25, No.4, pp. 485-493, 2017, DOI:10.3727/096504016X14749340314441

Abstract Esophageal cancer is one of the most common types of cancer, and it has a poor prognosis. The molecular mechanisms of esophageal cancer progression remain largely unknown. In this study, we aimed to investigate the clinical significance and biological function of tumor necrosis factor receptor-associated factor 6 (TRAF6) in esophageal cancer. Expression of TRAF6 in esophageal cancer was examined, and its correlation with clinicopathological factors and patient prognosis was analyzed. A series of functional and mechanism assays were performed to further investigate the function and underlying mechanisms in esophageal cancer. Expression of TRAF6 was highly… More >

Ying Liu^*†, Hui Lv^‡, Xiaoying Wu^*§, Jun Zhou^¶, Ying Shi^#, Jifang Wen^*†

Oncology Research, Vol.25, No.3, pp. 445-454, 2017, DOI:10.3727/096504016X14747368729786

Abstract Breast cancer is the leading cause of cancer deaths in females all over the world, mainly resulting from metastasis. Previous studies have revealed that repressor element-1 (RE-1) silencing transcription (REST) acted as a tumor suppressor in breast cancer. However, the mechanism by which REST is regulated remains unknown, and its role in the metastasis in breast cancer cells remains unclear. In the present study, we showed that the expression of REST was lower in breast cancer samples than that of adjacent samples by immunohistochemical analysis, which may be due to hypermethylation of the REST promoter.… More >

Leila Safari-Monjeghtapeh¹, Mansour Esmaeilpour^2,*

Computer Systems Science and Engineering, Vol.48, No.3, pp. 705-721, 2024, DOI:10.32604/csse.2024.044892

Abstract Path-based clustering algorithms typically generate clusters by optimizing a benchmark function. Most optimization methods in clustering algorithms often offer solutions close to the general optimal value. This study achieves the global optimum value for the criterion function in a shorter time using the minimax distance, Maximum Spanning Tree “MST”, and meta-heuristic algorithms, including Genetic Algorithm “GA” and Particle Swarm Optimization “PSO”. The Fast Path-based Clustering “FPC” algorithm proposed in this paper can find cluster centers correctly in most datasets and quickly perform clustering operations. The FPC does this operation using MST, the minimax distance, and… More >

Di Wang, Yuefei Zhu, Jinlong Fei^*, Maohua Guo

CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 2253-2276, 2024, DOI:10.32604/cmc.2024.049504

Abstract Website fingerprinting, also known as WF, is a traffic analysis attack that enables local eavesdroppers to infer a user’s browsing destination, even when using the Tor anonymity network. While advanced attacks based on deep neural network (DNN) can perform feature engineering and attain accuracy rates of over 98%, research has demonstrated that DNN is vulnerable to adversarial samples. As a result, many researchers have explored using adversarial samples as a defense mechanism against DNN-based WF attacks and have achieved considerable success. However, these methods suffer from high bandwidth overhead or require access to the target… More >