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Search Results (12)
  • Open Access

    ARTICLE

    Bioinformatic analysis and in vivo validation of angiogenesis related genes in inflammatory bowel disease

    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 a diagnostic model… More >

  • Open Access

    ARTICLE

    Aryl hydrocarbon receptor nuclear translocator 2 as a prognostic biomarker and immunotherapeutic indicator for clear cell renal cell carcinoma

    RENLONG ZHOU1,2,#, SHUANG LI3,#, XILIN XIAO1,*

    BIOCELL, Vol.47, No.11, pp. 2397-2408, 2023, DOI:10.32604/biocell.2023.030281

    Abstract Background: In many cancer types, aryl hydrocarbon receptor nuclear translocator 2 (ARNT2) has been found to be associated with tumor cell proliferation and prognosis. However, the role of ARNT2 in clear cell renal cell carcinoma (ccRCC) has not been completely elucidated. In this study, the potential role of ARNT2 in ccRCC development was characterized. Methods: A pan-cancer dataset (TCGA-TARGET-GTEx) was accessed from UCSC Xena Data Browser. ARNT2 expression in normal and tumor samples was compared. Univariate Cox regression was performed to evaluate the prognostic value of ARNT2. Single sample gene set enrichment analysis (ssGSEA) was used to estimate the enrichment… More >

  • Open Access

    ARTICLE

    Prognostic-related genes for pancreatic cancer typing and immunotherapy response prediction based on single-cell sequencing data and bulk sequencing data

    XUEFENG WANG1,#, SICONG JIANG2,#, XINHONG ZHOU3, XIAOFENG WANG4, LAN LI5, JIANJUN TANG1,*

    Oncology Research, Vol.31, No.5, pp. 697-714, 2023, DOI:10.32604/or.2023.029458

    Abstract Background: Pancreatic cancer is associated with high mortality and is one of the most aggressive of malignancies, but studies have not fully evaluated its molecular subtypes, prognosis and response to immunotherapy of different subtypes. The purpose of this study was to explore the molecular subtypes and the key genes associated with the prognosis of pancreas cancer patients and study the clinical phenotype, prognosis and response to immunotherapy using single-cell seq data and bulk RNA seq data, and data retrieved from GEO and TCGA databases. Methods: Single-cell seq data and bioinformatics methods were used in this study. Pancreatic cancer data were… More >

  • Open Access

    ARTICLE

    Comprehensive analysis of the role of immune-related PANoptosis lncRNA model in renal clear cell carcinoma based on RNA transcriptome and single-cell sequencing

    WUYAO LIU, CHANGBAO QU, XIAOLU WANG*

    Oncology Research, Vol.31, No.4, pp. 543-567, 2023, DOI:10.32604/or.2023.029563

    Abstract The high immune infiltration and heterogeneity of the microenvironment in clear cell renal cell carcinoma (ccRCC) result in the variability of prognosis and clinical response. While PANoptosis has strong immunogenicity and is worthy of further study. In this study, data from The Cancer Genome Atlas database was used to obtain immune-related PANoptosis lncRNAs with prognostic value. Subsequently, the role of these lncRNAs in cancer immunity, progression and the therapeutic response was analyzed, and a new prediction model was constructed. Additionally, we further explored the biological value of PANoptosis-related lncRNAs using single-cell data from the Gene Expression Omnibus database. PANoptosis-associated lncRNAs… More >

  • Open Access

    ARTICLE

    Transcriptome analysis reveals tumor antigen and immune subtypes of melanoma

    JIAHENG XIE1,#, MENGMENG OU1,#, PAN YU1,#, DAN WU2,#, QIKAI TANG3, YUAN CAO4, JING HANG5, LU YIN1, TINGHONG XIANG1, MING WANG1,*, JINGPING SHI1,*

    Oncology Research, Vol.31, No.3, pp. 389-403, 2023, DOI:10.32604/or.2023.029274

    Abstract Purpose: To screen potential tumor antigens for melanoma vaccine development and identify different immune subtypes. Methods: Transcriptional data (HTSEQ-FPKM) and clinical information of a 472 Melanoma cohort GDC TCGA Melanoma (SKCM) were downloaded from the UCSC XENA website (). Subsequently, transcriptome data and clinical information of 210 melanoma cohort GSE65904 were downloaded from Gene Expression Omnibus (GEO), a large global public database. All the transcriptome expression data matrices were log2 transformed for subsequent analysis. GEPIA, TIMER, and IMMPORT databases are also used for analysis. Cell function experiments were performed to validate the role of the IDO1 gene in melanoma cell… More >

  • Open Access

    ARTICLE

    Solute carrier-related signature for assessing prognosis and immunity in patients with clear-cell renal cell carcinoma

    WEI BAO1,#, QIANGUANG HAN2,#, XIAO GUAN3, ZIJIE WANG2, MIN GU1,2,*

    Oncology Research, Vol.31, No.2, pp. 181-192, 2023, DOI:10.32604/or.2023.028051

    Abstract Background: Clear-cell renal cell carcinoma (ccRCC) is the most common malignant kidney cancer. However, the tumor microenvironment and crosstalk involved in metabolic reprogramming in ccRCC are not well-understood. Methods: We used The Cancer Genome Atlas to obtain ccRCC transcriptome data and clinical information. The E-MTAB-1980 cohort was used for external validation. The GENECARDS database contains the first 100 solute carrier (SLC)-related genes. The predictive value of SLC-related genes for ccRCC prognosis and treatment was assessed using univariate Cox regression analysis. An SLC-related predictive signature was developed through Lasso regression analysis and used to determine the risk profiles of patients with… More >

  • Open Access

    ARTICLE

    SR-BI expression regulates the gastric cancer tumor immune microenvironment and is associated with poor prognosis

    YI WANG1,#, SHANGQI CHEN2,#, PENGCHENG YU1, ZHEHAN BAO1, CAN HU1, YUHANG XIA1, RUOLAN ZHANG1, LI YUAN3,4, HUA RUAN5,*, JIANCHENG SUN6,*

    BIOCELL, Vol.47, No.5, pp. 991-1002, 2023, DOI:10.32604/biocell.2023.028587

    Abstract Aim: Scavenger receptor class B, type I (SR-BI) is an integral plasma membrane protein that has been reported to be overexpressed in various malignancies, such as renal cancer, breast cancer, and prostate cancer, and is an independent prognostic factor. However, the clinical value and expression of SR-BI in GC are unknown. Our research aimed to explore the role of SR-BI in combination with immune markers as a diagnostic and prognostic marker for gastric cancer (GC). Methods: GC tissues, paracancerous tissues, and clinicopathological data of 149 patients were collected. The expression level of SR-BI, Tumor-infiltrating lymphocytes (TILs), and PD-L1 were evaluated… More >

  • Open Access

    ARTICLE

    The extracellular secretion of miR-1825 wrapped by exosomes increases CLEC5A expression: A potential oncogenic mechanism in ovarian cancer

    QIAOLING WU1,2, ZHAOLEI CUI3, HONGMEI XIA1, SHAN JIANG1, JING BAI4, ZHUO SHAO4, YANG SUN1,*

    BIOCELL, Vol.47, No.5, pp. 1039-1050, 2023, DOI:10.32604/biocell.2023.027494

    Abstract Background: Ovarian cancer (OC) is a leading cause of gynecological cancer-linked deaths worldwide. Exosomal miR-1825 and its target gene C-type lectin domain family 5 member A (CLEC5A) are associated with tumorigenesis in cancers that was further probed. Methods: Exosomal miR-1825 expression in exosomes and its impact on overall survival (OS) prediction were determined using Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) data. Target genes of miR-1825 were searched in five prediction databases and prognostically significant differentially expressed genes were identified. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were carried out. The… More >

  • Open Access

    ARTICLE

    Identification and verification of aging-related lncRNAs for prognosis prediction and immune microenvironment in patients with head and neck squamous carcinoma

    QING GAO1,#, YUJING SHI2,#, YUANYUAN SUN1,#, SHU ZHOU1, ZEYUAN LIU3, XINCHEN SUN1,*, XIAOKE DI1,*

    Oncology Research, Vol.31, No.1, pp. 35-61, 2023, DOI:10.32604/or.2022.028193

    Abstract Aging is highly associated with tumor formation and progression. However, little research has explored the association of aging-related lncRNAs (ARLs) with the prognosis and tumor immune microenvironment (TIME) of head and neck squamous cell carcinoma (HNSCC). RNA sequences and clinicopathological data of HNSCC patients and normal subjects were downloaded from The Cancer Genome Atlas. In the training group, we used Pearson correlation, univariate Cox regression, least absolute shrinkage/selection operator regression analyses, and multivariate Cox regression to build a prognostic model. In the test group, we evaluated the model. Multivariate Cox regression was done to screen out independent prognostic factors, with… More >

  • Open Access

    REVIEW

    The remodeling roles of lipid metabolism in colorectal cancer cells and immune microenvironment

    JIATENG ZHONG1,2, JINGYU GUO1, XINYU ZHANG1, SHUANG FENG1, WENYU DI2, YANLING WANG3,*, HUIFANG ZHU1,*

    Oncology Research, Vol.30, No.5, pp. 231-242, 2022, DOI:10.32604/or.2022.027900

    Abstract Lipid is a key component of plasma membrane, which plays an important role in the regulation of various cell biological behaviors, including cell proliferation, growth, differentiation and intracellular signal transduction. Studies have shown that abnormal lipid metabolism is involved in many malignant processes, including colorectal cancer (CRC). Lipid metabolism in CRC cells can be regulated not only by intracellular signals, but also by various components in the tumor microenvironment, including various cells, cytokines, DNA, RNA, and nutrients including lipids. In contrast, abnormal lipid metabolism provides energy and nutrition support for abnormal malignant growth and distal metastasis of CRC cells. In… More >

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