KERAN JIA¹, YANHAO ZHANG¹, MENGYU JIANG², MENGGE CUI², JIA WANG², JIAJIA ZHANG², HUIHAI ZHAO², MENGYAN LI², HUA WANG², QUANMING ZOU^1,#,*, HAO ZENG^1,#,*

BIOCELL, Vol.48, No.9, pp. 1355-1368, 2024, DOI:10.32604/biocell.2024.051383 - 04 September 2024

Abstract Objective: Candida albicans is a common fungal pathogen that triggers complex host defense mechanisms, including coordinated innate and adaptive immune responses, to neutralize invading fungi effectively. Exploring the immune microenvironment has the potential to inform the development of therapeutic strategies for fungal infections. Methods: The study analyzed individual immune cell profiles in peripheral blood mononuclear cells from Candida albicans-infected mice and healthy control mice using single-cell transcriptomics, fluorescence quantitative PCR, and Western blotting. We investigated intergroup differences in the dynamics of immune cell subpopulation infiltration, pathway enrichment, and differentiation during Candida albicans infection. Results: Our findings indicate that infiltration… More >

XUEJIA ZHAI^1,2,3,4,#, JIE LIU^2,3,4,#, JINWEI XIAO^2,3,4, TAO ZHANG^2,3,4, JUN WANG^2,3,4,5, JIANJUN LI^1,*, SHICANG YU^2,3,4,5,*

BIOCELL, Vol.48, No.8, pp. 1223-1239, 2024, DOI:10.32604/biocell.2024.050803 - 02 August 2024

Abstract Background: Protein lactylation is a new way for the “metabolic waste” lactic acid to perform novel functions. Nevertheless, our understanding of the contribution of protein lactylation to both tumor progression and therapeutic interventions remains imited. The construction of a scoring system for lactylation to predict the prognosis of pan-cancer patients and to evaluate the tumor immune microenvironment (TIME) would improve our understanding of the clinical significance of lactylation. Methods: Consensus clustering analysis of lactylation-related genes was used to cluster 177 pancreatic adenocarcinoma (PAAD) patients. Subsequently, a scoring system was developed using the least absolute shrinkage… More >

KUN FENG^1,#, HAO PENG^2,#, QINGPENG LV¹, YEWEI ZHANG^1,*

Oncology Research, Vol.32, No.6, pp. 1063-1078, 2024, DOI:10.32604/or.2024.047078 - 23 May 2024

Abstract Hepatocellular carcinoma (HCC) is a malignancy known for its unfavorable prognosis. The dysregulation of the tumor microenvironment (TME) can affect the sensitivity to immunotherapy or chemotherapy, leading to treatment failure. The elucidation of PHLDA2’s involvement in HCC is imperative, and the clinical value of PHLDA2 is also underestimated. Here, bioinformatics analysis was performed in multiple cohorts to explore the phenotype and mechanism through which PHLDA2 may affect the progression of HCC. Then, the expression and function of PHLDA2 were examined via the qRT-PCR, Western Blot, and MTT assays. Our findings indicate a substantial upregulation of… More >

ZHEN LIU^1,#, LIANGWANG YANG^2,#, ZHENGXING XIE¹, HUI YU³, TIANYI GU³, DAOMING SHI⁴, NING CAI^1,*, SHENGHUA ZHUO^2,*

Oncology Research, Vol.32, No.5, pp. 965-981, 2024, DOI:10.32604/or.2024.045769 - 23 April 2024

Abstract Clinical data indicates that glioma patients have poor treatment outcomes and clinical prognosis. The role of olfactory signaling pathway-related genes (OSPRGs) in glioma has not been fully elucidated. In this study, we aimed to investigate the role and relationship between OSPRGs and glioma. Univariate and multivariate Cox regression analyses were performed to assess the relationship between OSPRGs and the overall survival of glioma based on public cohorts, and the target gene (G Protein Subunit Alpha L, GNAL) was screened. The association of GNAL expression with clinicopathological characteristics, gene mutation landscape, tumor immune microenvironment (TIME), deoxyribonucleic acid… 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 - 27 December 2023

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 >

RENLONG ZHOU^1,2,#, SHUANG LI^3,#, XILIN XIAO^1,*

BIOCELL, Vol.47, No.11, pp. 2397-2408, 2023, DOI:10.32604/biocell.2023.030281 - 27 November 2023

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… More >

XUEFENG WANG^1,#, SICONG JIANG^2,#, XINHONG ZHOU³, XIAOFENG WANG⁴, LAN LI⁵, JIANJUN TANG^1,*

Oncology Research, Vol.31, No.5, pp. 697-714, 2023, DOI:10.32604/or.2023.029458 - 21 July 2023

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… More >

WUYAO LIU, CHANGBAO QU, XIAOLU WANG^*

Oncology Research, Vol.31, No.4, pp. 543-567, 2023, DOI:10.32604/or.2023.029563 - 25 June 2023

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… More >

JIAHENG XIE^1,#, MENGMENG OU^1,#, PAN YU^1,#, DAN WU^2,#, QIKAI TANG³, YUAN CAO⁴, JING HANG⁵, LU YIN¹, TINGHONG XIANG¹, MING WANG^1,*, JINGPING SHI^1,*

Oncology Research, Vol.31, No.3, pp. 389-403, 2023, DOI:10.32604/or.2023.029274 - 22 May 2023

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… More >

WEI BAO^1,#, QIANGUANG HAN^2,#, XIAO GUAN³, ZIJIE WANG², MIN GU^1,2,*

Oncology Research, Vol.31, No.2, pp. 181-192, 2023, DOI:10.32604/or.2023.028051 - 10 April 2023

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… More >