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Search Results (15)
  • 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

    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 that this technology can identify… 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

    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 were separately divided into new… 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

    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 using the “FindMarkers” function, and… 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

    Construction of the panoptosis-related gene model and characterization of tumor microenvironment infiltration in hepatocellular carcinoma

    XINRUI SHI1, XIA GAO1, WENCONG LIU2, XUEJIAO TANG1, JIAYI LIU1, DONGCHEN PAN1, XUEQING DUAN1, YUQING JIN1, WEIYAN REN1, LEI YANG1,*, WENXUAN LIU1,*

    Oncology Research, Vol.31, No.4, pp. 569-590, 2023, DOI:10.32604/or.2023.028964

    Abstract Hepatocellular carcinoma (HCC) is the most common fatal cancer worldwide, patients with HCC have a high mortality rate and poor prognosis. PANoptosis is a novel discovery of programmed cell death associated with cancer development. However, the role of PANoptosis in HCC remains obscure. In this study, we enrolled 274 PANoptosisrelated genes (PANRGs) and screened 8 genes to set up a prognostic model. A previous scoring system calculated PANscore was utilized to quantify the individual risk level of each HCC patient, and the reliability of the prognostic model has been validated in an external cohort. Nomogram constructed with PANscore and clinical… More >

  • Open Access

    ARTICLE

    Single-cell sequencing analysis reveals the molecular mechanism of promotion of SCAP proliferation upon AZD2858 treatment

    YIFAN XU1,#, DONGMEI CHENG1,#, LEI HU1, XIN DONG2, LIYING LV2, CHEN ZHANG2, JIAN ZHOU1,3,4,*

    BIOCELL, Vol.47, No.4, pp. 825-836, 2023, DOI:10.32604/biocell.2023.026122

    Abstract The Wnt/β-catenin signaling pathway is the main target of tooth regeneration regulation. Treatment of cells with AZD2858 stimulates the Wnt/β-catenin signaling pathway, yet the function of this pathway in tooth regeneration remains unclear. Here, we found that AZD2858 promotes the accumulation of β-catenin in the nuclei of stem cells from the apical papilla (SCAPs) and enhances cell proliferation. Single-cell sequencing was performed on SCAPs treated with AZD2858. Eight clusters were identified, namely SCAPs-CNTNAP2, SCAPs-DTL, SCAPs-MYH11, SCAPs-MKI67, SCAPs-CXCL8, SCAPs-TPM2, SCAPs-IFIT2 and SCAPs-NEK10. The pseudo-time trajectory analysis showed that AZD2858 enhanced the evolution of SCAPs from SCAPs-TMP2 clusters to SCAPs-MYH11, SCAPs-CNTNAPs and… More >

  • Open Access

    ARTICLE

    Expression and Clinical Significance of ACTA2 in Osteosarcoma Tissue

    Lina Tang1,2, Haiyan Hu2, Yan Zhou2, Yujing Huang2, Yonggang Wang2, Yawen Zhang2, Jinrong Liang2, Zhenxin Wang1,*

    Oncologie, Vol.24, No.4, pp. 913-925, 2022, DOI:10.32604/oncologie.2022.026296

    Abstract Objective: To investigate the expression of alpha–smooth muscle actin (ACTA2) in osteosarcoma tissues and its relationship with prognosis. Methods: Prognostic analysis of lung metastasis–related genes in osteosarcoma using the TCGA database. Single-cell sequencing detected the expression of ACTA2 in 11 osteosarcoma tissues. Paraf- fin-embedded tissues of 74 osteosarcoma patients treated at the Sixth People’s Hospital of Shanghai Jiao Tong University from 2014 to 2019 were collected, and tissue microarrays were prepared. ACTA2 expression was detected and scored by immunohistochemistry. According to the median value of the ACTA2 histochemical score, 74 patients were divided into two groups, the high-expression group and… More >

  • Open Access

    ARTICLE

    Free Vibration Analysis of RC Box-Girder Bridges Using FEM

    Preeti Agarwal*, Priyaranjan Pal, Pradeep Kumar Mehta

    Sound & Vibration, Vol.56, No.2, pp. 105-125, 2022, DOI:10.32604/sv.2022.014874

    Abstract The free vibration analysis of simply supported box-girder bridges is carried out using the finite element method. The fundamental frequency is determined in straight, skew, curved and skew-curved box-girder bridges. It is important to analyse the combined effect of skewness and curvature because skew-curved box-girder bridge behaviour cannot be predicted by simply adding the individual effects of skewness and curvature. At first, an existing model is considered to validate the present approach. A convergence study is carried out to decide the mesh size in the finite element method. An exhaustive parametric study is conducted to determine the fundamental frequency of… More >

  • Open Access

    VIEWPOINT

    Synergy of single-cell sequencing analyses and in vivo lineage-tracing approaches: A new opportunity for stem cell biology

    YUKI MATSUSHITA, WANIDA ONO, NORIAKI ONO*

    BIOCELL, Vol.46, No.5, pp. 1157-1162, 2022, DOI:10.32604/biocell.2022.018960

    Abstract Single-cell sequencing technologies have rapidly progressed in recent years, and been applied to characterize stem cells in a number of organs. Somatic (postnatal) stem cells are generally identified using combinations of cell surface markers and transcription factors. However, it has been challenging to define micro-heterogeneity within “stem cell” populations, each of which stands at a different level of differentiation. As stem cells become defined at a single-cell level, their differentiation path becomes clearly defined. Here, this viewpoint discusses the potential synergy of single-cell sequencing analyses with in vivo lineage-tracing approaches, with an emphasis on practical considerations in stem cell biology. More >

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