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  • Open Access

    REVIEW

    Dynamic Monitoring of Immunotherapy Effectiveness with Different Biomarkers in the Patients with Non-Small Cell Lung Cancer

    Sridha Ganesh1, Rui Wang1, Honglei Chen1,2

    Oncologie, Vol.23, No.3, pp. 335-350, 2021, DOI:10.32604/oncologie.2021.018610 - 26 September 2021

    Abstract Non-small cell lung cancer (NSCLC) constitutes about 84% of lung cancer. Hence, increased efforts have been fueled into immunotherapy of NSCLC with immune checkpoint inhibitors (ICIs). ICIs have recently taken off as promising immune-therapeutic methods that have slowed down the progress of NSCLC and equipped patients with survival advantages. However, the long-term respondents tally is less than 20% of the population. This low response rate warrants the need for dynamic biomarkers which will provide insight into the possible response of patients to ICIs. Biomarkers are biological molecules that predict the pathologic state of patients and… More >

  • Open Access

    ARTICLE

    Immune prognostic implications of PSMD14 and its associated genes signatures in hepatocellular carcinoma

    CHUAN TIAN1, MUBALAKE ABUDOUREYIMU1, XINRONG LIN1, HAO ZHOU2, XIAOYUAN CHU1, RUI WANG1,*

    BIOCELL, Vol.45, No.6, pp. 1527-1541, 2021, DOI:10.32604/biocell.2021.016203 - 01 September 2021

    Abstract PSMD14 played a vital role in initiation and progression of hepatocellular carcinoma (HCC). However, PSMD14 and its-related genes for the immune prognostic implications of HCC patients have rarely been analyzed. Messenger RNA expression profiles and clinicopathological data were downloaded from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) database-Liver Hepatocellular Carcinoma (LIHC). Additionally, we used multi-dimensional bioinformatics analysis to construct and validate a PSMD14-based immune prognostic signature (including RBM45, PSMD1, OLA1, CCT6A, LCAT and IVD) for HCC prognosis prediction. Patients in the high-risk group shown significantly poorer survival than patients in the More >

  • Open Access

    ARTICLE

    Feature Selection Using Artificial Immune Network: An Approach for Software Defect Prediction

    Bushra Mumtaz1, Summrina Kanwal2,*, Sultan Alamri2, Faiza Khan1

    Intelligent Automation & Soft Computing, Vol.29, No.3, pp. 669-684, 2021, DOI:10.32604/iasc.2021.018405 - 01 July 2021

    Abstract Software Defect Prediction (SDP) is a dynamic research field in the software industry. A quality software product results in customer satisfaction. However, the higher the number of user requirements, the more complex will be the software, with a correspondingly higher probability of failure. SDP is a challenging task requiring smart algorithms that can estimate the quality of a software component before it is handed over to the end-user. In this paper, we propose a hybrid approach to address this particular issue. Our approach combines the feature selection capability of the Optimized Artificial Immune Networks (Opt-aiNet) More >

  • Open Access

    ARTICLE

    Expression and prognosis analyses of Dectin-1 cluster genes in patients with lung adenocarcinoma (LUAD) and the association with immune checkpoint molecules

    LITING YOU1,#, FEIFEI NA2,#, JUAN ZHOU3, LIN JIAO3, YI ZHOU3,*, BINWU YING3,*

    BIOCELL, Vol.45, No.3, pp. 649-663, 2021, DOI:10.32604/biocell.2021.013978 - 03 March 2021

    Abstract Reviews The Dectin-1 cluster comprises seven members: CLEC-12A, CLEC-12B, CLEC-1A, CLEC-7A, CLEC- 2, CLEC-9A and OLR1. These members have been demonstrated to be involved in the tumorigenesis, progression, and metastasis of several cancers. However, little is known about their roles in human lung adenocarcinoma (LUAD). The expression patterns of the Dectin-1 cluster were analyzed via the ONCOMINE and GEPIA databases. We evaluated the prognostic value of the Dectin-1 cluster in patients with LUAD using the Kaplan-Meier plotter and GEPIA. Differential expression was validated with the EMBL-EBI database, and protein expression was analyzed with the HPA… More >

  • Open Access

    ARTICLE

    Optimal and Memristor-Based Control of A Nonlinear Fractional Tumor-Immune Model

    Amr M. S. Mahdy1,2,*, Mahmoud Higazy1,3, Mohamed S. Mohamed1,4

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3463-3486, 2021, DOI:10.32604/cmc.2021.015161 - 01 March 2021

    Abstract In this article, the reduced differential transform method is introduced to solve the nonlinear fractional model of Tumor-Immune. The fractional derivatives are described in the Caputo sense. The solutions derived using this method are easy and very accurate. The model is given by its signal flow diagram. Moreover, a simulation of the system by the Simulink of MATLAB is given. The disease-free equilibrium and stability of the equilibrium point are calculated. Formulation of a fractional optimal control for the cancer model is calculated. In addition, to control the system, we propose a novel modification of… More >

  • Open Access

    REVIEW

    CD13: A Key Player in Multidrug Resistance in Cancer Chemotherapy

    Qie Guo*, Xiao Li*, Meng-Na Cui*, Jia-Lin Sun*, Hong-Yan Ji*, Bei-Bei Ni*, Mei-Xing Yan

    Oncology Research, Vol.28, No.5, pp. 533-540, 2020, DOI:10.3727/096504020X15919605976853

    Abstract Cancer is one of the most serious diseases that are harmful to human health. Systemic chemotherapy is an optimal therapeutic strategy for the treatment of cancer, but great difficulty has been encountered in its administration in the form of multidrug resistance (MDR). As an enzyme on the outer cell surface, CD13 is documented to be involved in the MDR development of tumor cells. In this review, we will focus on the role of CD13 in MDR generation based on the current evidence. More >

  • Open Access

    ARTICLE

    Microenvironment Analysis of Prognosis and Molecular Signature of Immune-Related Genes in Lung Adenocarcinoma

    Bo Ling, Zuliang Huang, Suoyi Huang, Li Qian, Genliang Li, Qianli Tang

    Oncology Research, Vol.28, No.6, pp. 561-578, 2020, DOI:10.3727/096504020X15907428281601

    Abstract There is growing evidence on the clinical significance of tumor microenvironment (TME) cells in predicting prognosis and therapeutic effects. However, cell interactions in tumor microenvironments have not been thoroughly studied or systematically analyzed so far. In this study, 22 immune cell components in the lung adenocarcinoma (LUAD) TME were analyzed using gene expression profile from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). The TME-based molecular subtypes of LUAD were defined to evaluate further the relationship between molecular subtypes, prognosis, and clinical characteristics. A TME risk score model was constructed by using the More >

  • Open Access

    ARTICLE

    Profiles of immune status and related pathways in sepsis: evidence based on GEO and bioinformatics

    HANYU SHEN1, SHIQI REN2, WEI WANG2, CHENLIN ZHANG3, HAIYAN HAO4, QIUYAN SHEN5, YINONG DUAN1, ZIHENG WANG2,6,*, WENLIANG GE7,*

    BIOCELL, Vol.44, No.4, pp. 583-589, 2020, DOI:10.32604/biocell.2020.011345 - 24 December 2020

    Abstract Sepsis, characterized as life-threatening sequential organ failure, is caused by a dysregulated host immune response to a pathogen. Conventional practice for sepsis is to control the inflammation source and administer highgrade antibiotics. However, the mortality rate of sepsis varies from 25–30% and can reach 50% if a septic shock occurs. In our current study, we used bioinformatics technology to detect immune status profiles in sepsis at the genomic level. We downloaded and analyzed gene expression profiles of GSE28750 from the Gene Expression Omnibus (GEO) database to determine differential gene expression and immune status between sepsis… More >

  • Open Access

    ARTICLE

    Microenvironment and related genes predict outcomes of patients with cervical cancer: evidence from TCGA and bioinformatic analysis

    WENXI GAO1,2,#, QIANQIAN MA3,#, CHENYU TANG2,#, YUELI ZHAN4, YINONG DUAN2, HUIHUA NI5,*, YUNZHAO XU5,6,*

    BIOCELL, Vol.44, No.4, pp. 597-605, 2020, DOI:10.32604/biocell.2020.011328 - 24 December 2020

    Abstract Cervical cancer (CESC) is one of the most common cancers and affects the female genital tract. Consistent HPV infection status has been determined to be a vital cause of tumorigenesis. HPV infection may induce changes to the immune system and limit the host’s immune response. Immunotherapy is therefore essential to improving the overall survival of both locally advanced and recurrent CESC patients. Using 304 relevant samples from TCGA, we assessed immune cell function in CESC patients to better understand the status of both tumor micro-environment cells and immune cells in CESC. Functional enrichment analysis, pathway… More >

  • Open Access

    ARTICLE

    Expression profiling of immune cells in systemic lupus erythematosus by single-cell RNA sequencing

    XIANLIANG HOU1,2,3,#, DONGE TANG1,#, FENGPING ZHENG1,#, MINGLIN OU3, YONG XU1, HUIXUAN XU1, XIAOPING HONG4, XINZHOU ZHANG1, WEIER DAI5, DONGZHOU LIU4,*, YONG DAI1,*

    BIOCELL, Vol.44, No.4, pp. 559-582, 2020, DOI:10.32604/biocell.2020.011022 - 24 December 2020

    Abstract Systemic lupus erythematosus (SLE) is a systemic autoimmune disease characterized by abnormal cellular and humoral immune responses and excessive autoantibody production. The precise pathologic mechanism of SLE remains elusive. The advent of single-cell RNA sequencing (scRNA-seq) enables unbiased analysis of the molecular differences of cell populations at the single-cell level. We used scRNA-seq to profile the transcriptomes of peripheral blood mononuclear cells from an SLE patient compared with a healthy control (HC). A total of 16,021 cells were analyzed and partitioned into 12 distinct clusters. The marker genes of each cluster and the four major… More >

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