Cai Ming Liu^1,2,3, Yan Zhang^1,2,*, Zhihui Hu^1,2, Chunming Xie¹

CMC-Computers, Materials & Continua, Vol.78, No.2, pp. 2361-2389, 2024, DOI:10.32604/cmc.2023.045282

Abstract Artificial immune detection can be used to detect network intrusions in an adaptive approach and proper matching methods can improve the accuracy of immune detection methods. This paper proposes an artificial immune detection model for network intrusion data based on a quantitative matching method. The proposed model defines the detection process by using network data and decimal values to express features and artificial immune mechanisms are simulated to define immune elements. Then, to improve the accuracy of similarity calculation, a quantitative matching method is proposed. The model uses mathematical methods to train and evolve immune More >

XIAN ZHANG¹, ZHUANG ZHOU², JUNZHE WANG¹, MENGMENG HAN¹, HAN LIU¹, MEIRONG ZANG¹, JIANNING LIU¹, JIAPEI LU¹, JINQIAO ZHANG¹, GUOCHUAN ZHANG^2,*, LIXIA SUN^1,#,*

BIOCELL, Vol.48, No.2, pp. 303-311, 2024, DOI:10.32604/biocell.2023.046640

Abstract Background: Prognosis of multiple myeloma (MM) patients with extramedullary disease (EMD) remains poor. T cell dysfunction and an immunosuppressive environment have been reported in the bone marrow (BM) of MM patients. However, the immunosuppressive microenvironment and immune checkpoint receptors (ICRs) on CD8 T cells in the EMD tissue of newly diagnosed MM (NDMM) patients have not been thoroughly studied. Methods: We investigated the expression levels of T cell immunoglobulin mucin-domain-containing-3 (TIM-3) and T-cell immunoglobulin and ITIM domain (TIGIT) on CD8 T cells and the expression of their ligands (Galectin-9 and CD155) on myeloma cells in… More > Graphic Abstract

QIOU GU¹, CHUILIN LAI¹, XIAO GUAN¹, JING ZHU², TIAN ZHAN¹, JIANPING ZHANG^1,*

BIOCELL, Vol.48, No.2, pp. 253-269, 2024, DOI:10.32604/biocell.2023.028336

Abstract Objectives: Colorectal cancer (CRC) is a serious threat to human health worldwide. Oxaliplatin is a platinum analog and is widely used to treat CRC. However, resistance to oxaliplatin restricts its effectiveness and application while its target recognition and mechanism of action also remain unclear. Therefore, we aimed to develop an oxaliplatin-resistant prognostic model to clarify these aspects. Methods: We first obtained oxaliplatin-resistant and parental cell lines, and identified oxaliplatin-resistant genes using RNA sequencing (RNA-seq) and differential gene analysis. We then acquired relevant data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases.… More > Graphic Abstract

QI XIA¹, XING CHEN², QINGHUA MA³, XIANXIU WEN^2,*

BIOCELL, Vol.48, No.2, pp. 217-228, 2024, DOI:10.32604/biocell.2023.027414

Abstract Background: Breast cancer (BC) is the most common cancer and the leading cause of cancer death in women. Immune features play an important role in improving the prognosis prediction of BC. However, while previous immune signatures consisted mainly of immune genes, immune cell-based signatures have been rarely reported. Methods: In this study, we report that a novel immune cell signature is effective in improving prognostic prediction by combining M2 macrophages. We identified 17 differentially infiltrating immune cells between cancer and normal groups. Prognostic features of the four immune cells identified by LASSO COX analysis showed… More >

JIECHUAN QIU¹, TIANMIN YANG¹, YANNING SUN², KAI SUN², YINGKUN XU³, QINGHUA XIA^1,*

Oncology Research, Vol.32, No.3, pp. 545-561, 2024, DOI:10.32604/or.2023.030462

Abstract This research aims to identify the key fatty acid beta-oxidation (FAO) genes that are altered in kidney renal clear cell carcinoma (KIRC) and to analyze the role of these genes in KIRC. The Gene Expression Omnibus (GEO) and FAO datasets were used to identify these key genes. Wilcoxon rank sum test was used to assess the levels of acyl-CoA dehydrogenase medium chain (ACADM) between KIRC and non-cancer samples. The logistic regression and Wilcoxon rank sum test were used to explore the association between ACADM and clinical features. The diagnostic performance of ACADM for KIRC was… More >

Uma Ramasamy^*, Sundar Santhoshkumar

Journal of Intelligent Medicine and Healthcare, Vol.2, pp. 1-14, 2024, DOI:10.32604/jimh.2023.046995

Abstract More than 140 autoimmune diseases have distinct autoantibodies and symptoms, and it makes it challenging to construct an appropriate model using Machine Learning (ML) for autoimmune disease. Arthritis-related autoimmunity requires special attention. Although many conventional biomarkers for arthritis have been established, more biomarkers of arthritis autoimmune diseases remain to be identified. This review focuses on the research conducted using data obtained from clinical laboratory testing of real-time arthritis patients. The collected data is labelled the Arthritis Profile Data (APD) dataset. The APD dataset is the retrospective data with many missing values. We undertook a comprehensive… More >

SHUANGSHUANG ZENG^1,2, XI CHEN^1,2, QIAOLI YI^1,2, ABHIMANYU THAKUR³, HUI YANG^4,*, YUANLIANG YAN^1,2, SHAO LIU^1,2,*

Oncology Research, Vol.32, No.2, pp. 261-272, 2024, DOI:10.32604/or.2023.042345

Abstract Finding biomarkers for immunotherapy is an urgent issue in cancer treatment. Cellular retinoic acid-binding protein 2 (CRABP2) is a controversial factor in the occurrence and development of human tumors. However, there is limited research on the relationship between CRABP2 and immunotherapy response. This study found that negative correlations of CRABP2 and immune checkpoint markers (PD-1, PD-L1, and CTLA-4) were observed in breast invasive carcinoma (BRCA), skin cutaneous melanoma (SKCM), stomach adenocarcinoma (STAD) and testicular germ cell tumors (TGCT). In particular, in SKCM patients who were treated with PD-1 inhibitors, high levels of CRABP2 predicted poor… More >

HONGYUAN LIANG^1,#, YANQIU LI^2,#, YONGGANG QU³, LINGYUN ZHANG^4,*

Oncology Research, Vol.32, No.2, pp. 393-407, 2024, DOI:10.32604/or.2023.031134

Abstract Advanced LUAD shows limited response to treatment including immune therapy. With the development of sequencing omics, it is urgent to combine high-throughput multi-omics data to identify new immune checkpoint therapeutic response markers. Using GSE72094 (n = 386) and GSE31210 (n = 226) gene expression profile data in the GEO database, we identified genes associated with lung adenocarcinoma (LUAD) death using tools such as “edgeR” and “maftools” and visualized the characteristics of these genes using the “circlize” R package. We constructed a prognostic model based on death-related genes and optimized the model using LASSO-Cox regression methods.… More >

JUAN SHEN^1,#, WEIYU ZHANG^2,3,#, QINQIN JIN^2,3,#, FUYU GONG^4,#, HEPING ZHANG⁵, HONGLIANG XU⁵, JIEJIE LI^2,3, HUI YAO^2,3, XIYA JIANG^2,3, YINTING YANG^2,3, LIN HONG^2,3, JIE MEI^2,3, YANG SONG^6,*, SHUGUANG ZHOU^2,3,7,*

Oncology Research, Vol.32, No.2, pp. 339-351, 2024, DOI:10.32604/or.2023.030887

Abstract Background: Invasive breast carcinoma (BRCA) is associated with poor prognosis and high risk of mortality. Therefore, it is critical to identify novel biomarkers for the prognostic assessment of BRCA. Methods: The expression data of polo-like kinase 1 (PLK1) in BRCA and the corresponding clinical information were extracted from TCGA and GEO databases. PLK1 expression was validated in diverse breast cancer cell lines by quantitative real-time polymerase chain reaction (qRT-PCR) and western blotting. Single sample gene set enrichment analysis (ssGSEA) was performed to evaluate immune infiltration in the BRCA microenvironment, and the random forest (RF) and… More >

ZEPENG DONG, CHENYE ZHAO, SHIBO HU, KUI YANG, JUNHUI YU^*, XUEJUN SUN, JIANBAO ZHENG^*

BIOCELL, Vol.47, No.12, pp. 2735-2745, 2023, DOI:10.32604/biocell.2023.043422

Abstract Objectives: Angiogenesis plays a significant role in the occurrence and development of inflammatory bowel disease (IBD). The aim of this study is to explore potential angiogenesis related genes (ARGs) in IBD through bioinformatics analysis and in vivo experiments. Methods: GSE57945, GSE87466, and GSE36807 were obtained from the Gene Expression Omnibus database. GSE57945 was used as the training set, while GSE87466 and GSE36807 were used as the validation set. The key ARGs associated with IBD were identified using the least absolute shrinkage and selection operator (LASSO) and random forest methods. These identified ARGs were then utilized to construct… More >