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Search Results (109)
  • Open Access

    ARTICLE

    miRNA-148b-3p targeting SOCS3 inhibits macrophage M2 polarization by JAK2/STAT3 pathway in immune thrombocytopenia

    YANG YANG, LIJUAN FU, CHUNMEI CHEN, MEIWEI HU

    BIOCELL, Vol.46, No.5, pp. 1319-1328, 2022, DOI:10.32604/biocell.2022.015760

    Abstract Aberrant expression of miRNAs is significantly correlated with the occurrence of immune thrombocytopenic purpura (ITP). The immune imbalance of M1/M2 macrophage contributes to the development of ITP. However, the role of miR-148b-3p in macrophage phenotype imbalance remains unknown in ITP. In this study, we aimed to explore whether miR-148b-3p inhibits M2 macrophage polarization in ITP and to investigate the underlying mechanism. Peripheral blood from 22 ITP patients were collected, and real-time PCR confirmed that miR-148b-3p was up-regulated and Western blot analyses detected the expression of SOCS3 was down-regulated. Subsequent dual-luciferase reporter gene assay indicated that More >

  • Open Access

    ARTICLE

    Identification of a 10-pseudogenes signature as a novel prognosis biomarker for ovarian cancer

    YONGHUI YU1,#, SONGHUI XU2,#, ERYONG ZHAO3,#, YONGSHUN DONG1, JINBIN CHEN1, BOQI RAO1, JIE ZENG4, LEI YANG1, JIACHUN LU1, FUMAN QIU1,4,*

    BIOCELL, Vol.46, No.4, pp. 999-1011, 2022, DOI:10.32604/biocell.2022.017004

    Abstract The outcomes of ovarian cancer are complicated and usually unfavorable due to their diagnoses at a late stage. Identifying the efficient prognostic biomarkers to improve the survival of ovarian cancer is urgently warranted. The survival-related pseudogenes retrieved from the Cancer Genome Atlas database were screened by univariate Cox regression analysis and further assessed by least absolute shrinkage and selection operator (LASSO) method. A risk score model based on the prognostic pseudogenes was also constructed. The pseudogene-mRNA regulatory networks were established using correlation analysis, and their potent roles in the ovarian cancer progression were uncovered by… More >

  • Open Access

    ARTICLE

    Uncoupling tumor necrosis factor-α and interleukin-10 at tumor immune microenvironment of breast cancer through miR-17-5p/MALAT-1/H19 circuit

    RAGHDA A. SOLIMAN1, RANA A. YOUNESS1,2,*, TAMER M. MANIE3, EMAD KHALLAF4, MOHAMED EL-SHAZLY1, MONA ABDELMOHSEN5, HEBA HANDOUSSA1, MOHAMED Z. GAD6,*

    BIOCELL, Vol.46, No.3, pp. 769-783, 2022, DOI:10.32604/biocell.2022.016636

    Abstract Triple Negative Breast Cancer (TNBC) immunotherapy has recently shown promising approach. However, some TNBC patients presented with resistance. One of the reasons was attributed to the excessive release of cytokines at the tumor microenvironment (TME) such as Tumor necrosis factor alpha (TNF-α) and Interleukin-10 (IL-10). Fine regulation of these cytokines’ levels via non-coding RNAs (ncRNAs) might alleviate the immune quiescent nature of TME at TNBC tumors. However, the extrapolation of ncRNAs as therapeutic tools is highly challenging. Therefore, disentanglement the nature for the isolation of natural compounds that could modulate the ncRNAs and their respective… More >

  • Open Access

    ARTICLE

    WGCNA and LASSO algorithm constructed an immune infiltration-related 5-gene signature and nomogram to improve prognosis prediction of hepatocellular carcinoma

    MENG FANG1, JING GUO1, HAIPING WANG1, ZICHANG YANG2, HAN ZHAO1,*, QINGJIA CHI2

    BIOCELL, Vol.46, No.2, pp. 401-415, 2022, DOI:10.32604/biocell.2022.016989

    Abstract Hepatocellular carcinoma (HCC) is a common immunogenic malignant tumor. Although the new strategies of immunotherapy and targeted therapy have made considerable progress in the treatment of HCC, the 5-year survival rate of patients is still very low. The identification of new prognostic signatures and the exploration of the immune microenvironment are crucial to the optimization and improvement of molecular therapy strategies. We studied the potential clinical benefits of the inflammation regulator miR-93-3p and mined its target genes. Weighted gene co-expression network analysis (WGCNA), univariate and multivariate COX regression and the LASSO COX algorithm are employed… More >

  • Open Access

    REVIEW

    MicroRNA regulation and host interaction in response to Aspergillus exposure

    MANSI SHRIVASTAVA1, DIKSHA PANDEY1, POONAM SHARMA2, RAMBIR SINGH3,*

    BIOCELL, Vol.46, No.2, pp. 339-356, 2022, DOI:10.32604/biocell.2022.016822

    Abstract Aspergillus is a group of conidial fungi, isolated from soil and litter, cause serious diseases in humans and animals. This ubiquitous fungus is prevalent in the air and inhalation of fungal spores is common. Fungal diseases from Aspergillus became a major health problem and are difficult to manage because they tend to be chronic and invasive, hard to diagnose and difficult to exterminate with antifungal drugs. Although, immune responses play vital roles in monitoring the fate of fungal infections and regulation of the immune responses against fungal infections might be an effective approach for controlling and… More >

  • Open Access

    ARTICLE

    CD34+ CD38- subpopulation without CD123 and CD44 is responsible for LSC and correlated with imbalance of immune cell subsets in AML

    QIANSHAN TAO#, QING ZHANG#, HUIPING WANG, HAO XIAO, MEI ZHOU, LINLIN LIU, HUI QIN, JIYU WANG, FURUN AN, ZHIMIN ZHAI*, YI DONG*

    BIOCELL, Vol.46, No.1, pp. 159-169, 2022, DOI:10.32604/biocell.2021.014139

    Abstract Acute myeloid leukemia (AML) is regarded as a stem cell disease. However, no one unique marker is expressed on leukemia stem cells (LSC) but not on leukemic blasts nor normal hematopoietic stem cells (HSC). CD34+ CD38- with or without CD123 or CD44 subpopulations are immunophenotypically defined as putative LSC fractions in AML. Nevertheless, markers that can be effectively and simply held responsible for the intrinsical heterogeneity of LSC is still unclear. In the present study, we examined the frequency of three different LSC subtypes (CD34+ CD38-, CD34+ CD38- CD123+ , CD34+ CD38- CD44+ ) in AML at diagnosis. We then… More >

  • Open Access

    ARTICLE

    In Silico analysis and linking of metabolism-related genes with the immune landscape in head and neck squamous cell carcinoma

    JIAYU ZHANG1,2,3,#, RUOYAN CAO1,2,3,#, JIANMIN PENG1,2,3, QINCHAO HU1,2,3, JUAN XIA1,2,3,*, BIN CHENG1,2,3,*

    BIOCELL, Vol.46, No.1, pp. 111-125, 2022, DOI:10.32604/biocell.2022.016612

    Abstract Metabolic reprogramming and immunologic suppression are two critical characteristics promoting the progression of head and neck squamous cell carcinoma (HNSCC). The integrative analysis of all the metabolism-related genes (MRGs) in HNSCC is lacking and the interaction between the metabolism and the immune characteristics also requires more exploration to uncover the potential mechanisms. Therefore, this study was designed to establish a prognostic signature based on all the MRGs in HNSCC. Genes of HNSCC samples were available from the TCGA and GEO databases while the MRGs were retrieved from a previous study. Ultimately 4 prognostic MRGs were… More >

  • 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

    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

    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

    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 >

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