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Search Results (22)
  • Open Access

    ARTICLE

    AGPAT3 Regulates Immune Microenvironment in Osteosarcoma via Lysophosphatidic Acid Metabolism

    Shenghui Su, Yu Zeng, Jiaxin Chen, Xieping Dong*

    Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.070558 - 30 December 2025

    Abstract Background: Recent studies have shown glycerolipid metabolism played an essential role in multiple tumors, however, its function in osteosarcoma is unclear. This study aimed to explore the role of glycerolipid metabolism in osteosarcoma. Methods: We conducted bioinformatics analysis using data from the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) database and single-cell RNA sequencing. Least Absolute Shrinkage and Selection Operator (LASSO) regression was used to identify the Glycerolipid metabolism-related genes associated with the clinical outcome of osteosarcoma. Tumor-associated macrophages (TAMs) and their interactions with immune cells were examined through single-cell analysis and co-culture experiments.… More >

  • Open Access

    ARTICLE

    STC2+ Malignant Cell State Associated with EMT, Tumor Microenvironment Remodeling, and Poor Prognosis Revealed by Single-Cell and Spatial Transcriptomics in Colorectal Cancer

    Kai Gui1,#, Tianyi Yang1,#, Chengying Xiong1, Yue Wang1, Zhiqiang He1, Wuxian Li2,3,*, Min Tang1,*

    Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.070143 - 30 December 2025

    Abstract Objectives: The mechanism by which specific tumor subsets in colorectal cancer (CRC) use alternative metabolic pathways, particularly those modulated by hypoxia and fructose, to alter the tumor microenvironment (TME) remains unclear. This study aimed to identify these malignant subpopulations and characterize their intercellular signaling networks and spatial organization through an integrative multi-omics approach. Methods: Leveraging bulk datasets, single-cell RNA sequencing, and integrative spatial transcriptomics, we developed a prognostic model based on hypoxia-and fructose metabolism-related genes (HFGs) to delineate tumor cell subpopulations and their intercellular signaling networks. Results: We identified a specific subset of stanniocalcin-2 positive (STC2+)… More > Graphic Abstract

    STC2+ Malignant Cell State Associated with EMT, Tumor Microenvironment Remodeling, and Poor Prognosis Revealed by Single-Cell and Spatial Transcriptomics in Colorectal Cancer

  • Open Access

    ARTICLE

    Single-Cell Transcriptomic Profiling Reveals KRAS/TP53-Driven Neutrophil Reprogramming in Luad: A Multi-Gene Prognostic Model and Therapeutic Targeting of RHOV

    Yinghui Ye1,#, Yulou Luo2,#, Yutian Sun3, Yujie Zhang1, Jiaxin Lin4, Ziling Yang5, Anping Xu6,*, Bei Xue1,*

    Oncology Research, Vol.33, No.6, pp. 1383-1404, 2025, DOI:10.32604/or.2025.062584 - 29 May 2025

    Abstract Objectives: The tumorigenic progression of Lung adenocarcinoma (LUAD), the predominant NSCLC subtype, is predominantly driven by co-occurring mutations in KRAS proto-oncogene (KRAS)/Tumor protein p53 (TP53). However, their impact on tumor microenvironment (TME) heterogeneity, particularly neutrophil dynamics, remains poorly understood. This present study aims to elucidate how KRAS/TP53 mutations reprogram the TME and develop a neutrophil-centric prognostic signature for LUAD. Methods: Leveraging single-cell RNA sequencing data and transcriptome data, neutrophil subpopulations were identified using Seurat and CellChat R packages, with trajectory analysis via Monocle2 R package. High-dimensional weighted gene co-expression network analysis (hdWGCNA), univariate Cox regression,… More >

  • Open Access

    ARTICLE

    Integrated Bioinformatics Analysis Identifies Vascular Endothelial Cell-Related Biomarkers for Hypertrophic Cardiomyopathy

    Ying Wang1, Weijun Zhang1, Fei Cai1, Yong Tao2,*

    Congenital Heart Disease, Vol.19, No.6, pp. 653-669, 2024, DOI:10.32604/chd.2025.060406 - 27 January 2025

    Abstract Background: Previous studies combined integrated scRNA-seq with bulk RNA data to screen biomarkers for cardiomyopathy. This study extended this approach to identify biomarkers specific for hypertrophic cardiomyopathy (HCM). Methods: Datasets GSE36961, GSE130036, GSE249925 and GSE203274 were analyzed in this study. ScRNA-seq analysis was employed to identify distinct cell populations. Differentially expression analysis was conducted to screen vascular endothelial cells (VECs)-related feature genes. After calculating VECs score, WGCNA was used to correlate gene modules with the VECs score. Key HCM biomarkers were determined using random forest analysis, and LASSO regression analyses to construct a diagnostic model… More >

  • Open Access

    REVIEW

    Revolutionizing stem cell research: unbiased insights through single-cell sequencing

    HAO WU#, NA HUO#, SITUO WANG, ZIWEI LIU, YI JIANG*, QUAN SHI*

    BIOCELL, Vol.48, No.11, pp. 1531-1542, 2024, DOI:10.32604/biocell.2024.054278 - 07 November 2024

    Abstract Stem cells have shown great application potential in wound repair, tissue regeneration, and disease treatment. Therefore, a full understanding of stem cells and their related regulatory mechanisms in disease treatment is conducive to improving the therapeutic effect of stem cells. However, thus far, there are still many unsolved mysteries in the field of stem cells due to technical limitations, which hinder the in-depth exploration of stem cells and their wide clinical application. Single-cell sequencing (SCS) has provided very powerful and unbiased insights into cell gene expression profiles at the single-cell level, bringing exciting results to More >

  • Open Access

    ARTICLE

    Single-cell transcriptomics reveals T-cell heterogeneity and immunomodulatory role of CD4+ T native cells in Candida albicans infection

    KERAN JIA1, YANHAO ZHANG1, MENGYU JIANG2, MENGGE CUI2, JIA WANG2, JIAJIA ZHANG2, HUIHAI ZHAO2, MENGYAN LI2, HUA WANG2, QUANMING ZOU1,#,*, HAO ZENG1,#,*

    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 >

  • Open Access

    ARTICLE

    Identification of TMEM159 as a biomarker of glioblastoma progression based on immune characteristics

    JI SHI1,2, YE ZHANG2, YI CHEN2, TANGJUN GUO3,*, HAOZHE PIAO2,*

    BIOCELL, Vol.48, No.8, pp. 1241-1263, 2024, DOI:10.32604/biocell.2024.051049 - 02 August 2024

    Abstract Background: Glioblastoma multiforme (GBM) is the most general malignancy of the primary central nervous system that is characterized by high aggressiveness and lethality. Transmembrane protein 159 (TMEM159) is an endoplasmic reticulum protein that can form oligomers with seipin. The TMEM159-seipin complex decides the site of lipid droplet (LD) formation, and the formation of LDs is a marker of GBM. However, the role of TMEM159 in the progression of GBM has not been investigated to date. Methods: In this study, we examined the genes that may be associated with patient prognosis in GBM by bioinformatics analyses,… More >

  • Open Access

    REVIEW

    Clinical implications of single cell sequencing for bladder cancer

    REZA YADOLLAHVANDMIANDOAB1,#, MEHRSA JALALIZADEH1,#, FRANCIELE APARECIDA VECHIA DIONATO1, KEINI BUOSI1, PATRÍCIA A. F. LEME1, LUCIANA S. B. DAL COL1, CRISTIANE F. GIACOMELLI1, ALEX DIAS ASSIS1, NASIM BASHIRICHELKASARI1, LEONARDO OLIVEIRA REIS1,2,*

    Oncology Research, Vol.32, No.4, pp. 597-605, 2024, DOI:10.32604/or.2024.045442 - 20 March 2024

    Abstract Bladder cancer (BC) is the 10th most common cancer worldwide, with about 0.5 million reported new cases and about 0.2 million deaths per year. In this scoping review, we summarize the current evidence regarding the clinical implications of single-cell sequencing for bladder cancer based on PRISMA guidelines. We searched PubMed, CENTRAL, Embase, and supplemented with manual searches through the Scopus, and Web of Science for published studies until February 2023. We included original studies that used at least one single-cell technology to study bladder cancer. Forty-one publications were included in the review. Twenty-nine studies showed… More > Graphic Abstract

    Clinical implications of single cell sequencing for bladder cancer

  • Open Access

    ARTICLE

    Glycogen metabolism-mediated intercellular communication in the tumor microenvironment influences liver cancer prognosis

    YANG ZHANG1,2,#, NANNAN QIN5,#, XIJUN WANG6,#, RUI LIANG7, QUAN LIU4, RUOYI GENG8, TIANXIAO JIANG8, YUNFEI LIU8,*, JINWEI LI3,4,*

    Oncology Research, Vol.32, No.3, pp. 563-576, 2024, DOI:10.32604/or.2023.029697 - 06 February 2024

    Abstract Glycogen metabolism plays a key role in the development of hepatocellular carcinoma (HCC), but the function of glycogen metabolism genes in the tumor microenvironment (TME) is still to be elucidated. Single-cell RNA-seq data were obtained from ten HCC tumor samples totaling 64,545 cells, and 65 glycogen metabolism genes were analyzed by a nonnegative matrix factorization (NMF). The prognosis and immune response of new glycogen TME cell clusters were predicted by using HCC and immunotherapy cohorts from public databases. HCC single-cell analysis was divided into fibroblasts, NT T cells, macrophages, endothelial cells, and B cells, which… More >

  • Open Access

    ARTICLE

    Single-Cell RNA Sequencing Reveals Potential for Endothelial-to-Mesenchymal Transition in Tetralogy of Fallot

    Aisa Zulibiya1,2,#, Jing Wen3,#, Huiqing Yu3,#, Xiaoming Chen3, Lei Xu3, Xiao Ma1,2, Baojian Zhang1,2,*

    Congenital Heart Disease, Vol.18, No.6, pp. 611-625, 2023, DOI:10.32604/chd.2023.047689 - 19 January 2024

    Abstract Background: Tetralogy of Fallot (TOF) is a very common cyanotic congenital heart disease. Endothelial-to-mesenchymal transition (EndoMT) is recognized as a physiological mechanism involved in embryonic heart development and endothelial formation. However, there is still a gap in the reports related to the mechanism of EndoMT development in TOF. Methods: First, transcriptomic data of single cell nuclei of TOF and Donor were obtained based on the Gene Expression Omnibus (GEO) database, and the data were normalized and clustered by dimensionality reduction using the Seurat package. Subsequently, differentially expressed genes (DEGs) between TOF and Donor were screened… More >

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