MIAOMIAO LI^1,#, DANYANG CHEN^2,#, JUNYI KE¹, RUILIN ZHENG², JINGYAO SU², ZILIN ZHENG¹, JIEYI LUO¹, HANRAN MAI¹, FAN JIANG¹, YANXIA QU¹, XIAOQIONG GU¹, BING ZHU², YINGHUA LI^2,*, LIANDONG ZUO^1,*

BIOCELL, Vol.47, No.2, pp. 401-408, 2023, DOI:10.32604/biocell.2023.025154

Abstract A H₂O₂-induced oxidative stress injury cell model was established to investigate the antioxidant effect of nano-selenium on mouse spermatocyte lines and the regulation mechanism of the expression level and activity of selenium-containing antioxidant enzymes induced by oxidative stress. A safe and effective nano-drug system of functionalized selenium-containing nanoparticles (SeNPs) was developed with lentinan (LNT) (SeNPs@LNT). Mice spermatocyte line GC2-spg cells were treated with SeNPs@LNT (1, 2, 4, 8, 16, 32 μM) for 24–72 h to evaluate the cytotoxicity of selenium. GC2-spg cells were randomly divided into the following groups: control, hydrogen peroxide (H₂O₂), SeNPs@LNT, and H₂O₂+SeNPs@LNT groups. H₂O₂+SeNPs@LNT group was… More >

Xiaorui Zhang^1,2,3,*, Feng Xu², Wei Sun^3,4, Yan Jiang², Yi Cao⁵

Computer Systems Science and Engineering, Vol.45, No.2, pp. 1695-1709, 2023, DOI:10.32604/csse.2023.031506

Abstract 3D reconstruction based on single view aims to reconstruct the entire 3D shape of an object from one perspective. When existing methods reconstruct the mesh surface of complex objects, the surface details are difficult to predict and the reconstruction visual effect is poor because the mesh representation is not easily integrated into the deep learning framework; the 3D topology is easily limited by predefined templates and inflexible, and unnecessary mesh self-intersections and connections will be generated when reconstructing complex topology, thus destroying the surface details; the training of the reconstruction network is limited by the large amount of information attached… More >

Binhui Tang^1,3, Junfeng Wang^2,*, Huanran Qiu³, Jian Yu², Zhongkun Yu², Shijia Liu^2,4

CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 235-252, 2023, DOI:10.32604/cmc.2023.029135

Abstract The continuous improvement of the cyber threat intelligence sharing mechanism provides new ideas to deal with Advanced Persistent Threats (APT). Extracting attack behaviors, i.e., Tactics, Techniques, Procedures (TTP) from Cyber Threat Intelligence (CTI) can facilitate APT actors’ profiling for an immediate response. However, it is difficult for traditional manual methods to analyze attack behaviors from cyber threat intelligence due to its heterogeneous nature. Based on the Adversarial Tactics, Techniques and Common Knowledge (ATT&CK) of threat behavior description, this paper proposes a threat behavioral knowledge extraction framework that integrates Heterogeneous Text Network (HTN) and Graph Convolutional Network (GCN) to solve this… More >

Lihua Jiang^*1, Wenchuan Yang^*1, Weishi Bian^†, Hailin Yang^*, Xia Wu^*, Yuhua Li^*, Wen Feng^*, Xuejian Liu^*

Oncology Research, Vol.27, No.1, pp. 19-27, 2019, DOI:10.3727/096504018X15193469240508

Abstract The dysregulation of microRNAs (miRNAs) plays an important function in the onset and progression of gastric cancer (GC). In addition, aberrantly expressed miRNAs affect the chemosensitivity of GC cells to chemotherapeutic drugs. Hence, miRNA-based targeted therapy might be applied to treat patients with GC exhibiting chemotherapeutic resistance. In this study, miRNA-623 (miR-623) expression was downregulated in GC tissues and cell lines. Functional analysis showed that the restored miR-623 expression could inhibit the proliferation of GC cells and enhance their chemosensitivity to 5-FU via the cell apoptosis pathway. Cyclin D1 (CCND1) was identified as a direct target gene of miR-623 in… More >

Jianye Li^*, Bin Zhang^†, Jizhao Cui^‡, Zhen Liang^§, Kexia Liu^*

Oncology Research, Vol.27, No.7, pp. 789-799, 2019, DOI:10.3727/096504018X15444387696532

Abstract Many studies have shown that downregulated miR-203 level is in a variety of cancers including gastric cancer (GC). However, the precise molecule mechanisms of miR-203 in GC have not been well clarified. In the current study, we investigated the biological functions and molecular mechanisms of miR-203 in GC cell lines. We found that miR-203 is downregulated in GC tissues and cell lines. Moreover, the low level of miR-203 was associated with increased expression of annexin A4 in GC tissues and cell lines. The invasion and EMT of GC cells were suppressed by overexpression of miR-203. However, downregulation of miR-203 promoted… More >

Chao Liu^*†, Min Jian^‡, Hong Qi^†, Wei-Zheng Mao^†

Oncology Research, Vol.27, No.3, pp. 389-397, 2019, DOI:10.3727/096504018X15223159811838

Abstract Recently, microRNAs (miRNAs) have been reported to participate in multiple biological processes. However, the effects of miR-495 on gastric cancer (GC) remain unclear. The purpose of this study was to explore the functions of miR-495 in GC cell proliferation, metastasis, and apoptosis. SGC-7901 and BGC-823 cell lines were transfected with miR-495 mimic, miR-495 inhibitor, and negative controls (mimic control and inhibitor control). The expressions of miR-495, cell viability, migration, apoptosis, and apoptosis-related factors were examined by qRT-PCR, trypan blue staining, Transwell, flow cytometry, and Western blot, respectively. Simultaneously, key factor expression levels of EMT were detected by qRT-PCR and Western… More >

Xingliang Feng^*1, Meng Zhang^*†1, Jialin Meng^*, Yongqiang Wang^†, Yi Liu^*, Chaozhao Liang^*, Song Fan^*

Oncology Research, Vol.28, No.3, pp. 285-297, 2020, DOI:10.3727/096504020X15791676105394

Abstract We aimed to investigate the potential mechanisms of progression and identify novel prognosis-related biomarkers for papillary renal cell carcinoma (PRCC) patients. The related data were derived from The Cancer Genome Atlas (TCGA) and then analyzed by weighted gene coexpression network analysis (WGCNA). The correlation between each module and the clinical traits were analyzed by Pearson’s correlation analysis. Pathway analysis was conducted to reveal potential mechanisms. Hub genes within each module were screened by intramodule analysis, and visualized by Cytoscape software. Furthermore, important hub genes were validated in an external dataset and clinical samples. A total of 5,839 differentially expressed genes… More >

Huifang Lv, Honglin Hou, Huijun Lei, Caiyun Nie, Beibei Chen, Liangyu Bie, Lili Han, Xiaobing Chen

Oncology Research, Vol.28, No.3, pp. 225-236, 2020, DOI:10.3727/096504019X15753718797664

Abstract S100 binding protein A16 (S100A16) expression levels are closely associated with microRNA (miRNA) processing. Higher levels of S100A16 are reported during the progression of many cancers. Our study mainly explored the interaction between S100A16 and miR-6884-5p in gastric cancer (GC). Quantitative real-time polymerase chain reaction (qRT-PCR) was used to determine the level of S100A16 and miR-6884-5p in GC tissues and cell lines. The si-S100A16, pcDNA-S100A16, miR-6884-5p mimic or inhibitor was transfected into GC cells, and the effects of S100A16 and miR-6884-5p on the proliferation, invasion, and epithelial–mesenchymal transition (EMT) were explored by qRT-PCR and Western blot assays. Luciferase assays were… More >

Hongde Li^*†‡, Yueshuo Li^*†‡, Jianmin Hu^*†‡, Sufang Liu^§, Xiangjian Luo^*†‡¶, Min Tang^*†‡, Ann M. Bode^#, Zigang Dong^#**, Xinqi Liu^††, Weihua Liao^‡‡, Ya Cao^{*†‡¶ §§¶¶}

Oncology Research, Vol.28, No.7-8, pp. 763-778, 2020, DOI:10.3727/096504021X16135618512563

Abstract Epstein–Barr virus (EBV)-encoded latent membrane protein 1 (LMP1) plays an important oncogenic role in the viral latent infection. Recently, increasing evidence indicates that the high expression of LMP1 during EBV lytic cycle is related to the viral lytic replication. However, the mechanism by which LMP1 regulates EBV lytic replication remains unclear. (−)-Epigallocatechin-3-gallate (EGCG) prevents carcinogenesis by directly targeting numerous membrane proteins and effectively inhibits EBV lytic cascade. Here, we demonstrated that LMP1 promotes EBV lytic replication through the downstream signal molecules MAPKs, including ERKs, p38, and JNKs. LMP1 induces the phosphorylation of p53 through MAPKs to enhance the ability of… More >

Pihua Han^*†1, Haiming Yang^‡1, Xiang Li^*1, Jie Wu^*, Peili Wang^§, Dapeng Liu^*, Guodong Xiao^¶, Xin Sun^*, Hong Ren^*

Oncology Research, Vol.28, No.7-8, pp. 715-729, 2020, DOI:10.3727/096504020X16037124605559

Abstract The aim of this study was to identify a novel cancer stemness-related ceRNA regulatory axis in lung adenocarcinoma (LUAD) via weighted gene coexpression network analysis of a stemness index. The RNA sequencing expression profiles of 513 cancer samples and 60 normal samples were obtained from the TCGA database. Differentially expressed mRNAs (DEmRNAs), lncRNAs (DElncRNAs), and miRNAs (DEmiRNAs) were identified with R software. Functional enrichment analysis was conducted using DAVID 6.8. The ceRNA network was constructed via multiple bioinformatics analyses, and the correlations between possible ceRNAs and prognosis were analyzed using Kaplan–Meier plots. WGCNA was then applied to distinguish key genes… More >