Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (70)
  • Open Access

    Ring finger protein 157 is a prognostic biomarker and is associated with immune infiltrates in human breast cancer

    XIN ZHU1,2,#, BIN XIAO3,#,*, WENWU ZHANG3,4, XIAOYU SONG3, WEI GONG5, LINHAI LI3,*, XINPING CHEN1,2,*

    BIOCELL, Vol.47, No.10, pp. 2265-2281, 2023, DOI:10.32604/biocell.2023.029195

    Abstract Background: The protein encoded by ring finger protein 157 (RNF157) is known to function as an E3 ubiquitin ligase. However, whether the level of RNF157 expression in breast cancer correlates with prognosis and immune cell infiltration among breast cancer patients remains to be further explored. Methods: In this study, publicly available datasets were used for evaluating RNF157 expression in different tumors compared with normal samples. Several independent datasets were screened for investigating the relationship between RNF157 and breast cancer survival, different mutation profiles, and tumor immune cell infiltration. We conducted a pathway enrichment analysis to… More >

  • Open Access

    ARTICLE

    Novel defined N7-methylguanosine modification-related lncRNAs for predicting the prognosis of laryngeal squamous cell carcinoma

    ZHAOXU YAO*, HAIBIN MA, LIN LIU, QIAN ZHAO, LONGCHAO QIN, XUEYAN REN, CHUANJUN WU, KAILI SUN

    BIOCELL, Vol.47, No.9, pp. 1965-1975, 2023, DOI:10.32604/biocell.2023.030796

    Abstract Objective: Through integrated bioinformatics analysis, the goal of this work was to find new, characterised N7-methylguanosine modification-related long non-coding RNAs (m7G-lncRNAs) that might be used to predict the prognosis of laryngeal squamous cell carcinoma (LSCC). Methods: The clinical data and LSCC gene expression data for the current investigation were initially retrieved from the TCGA database & sanitised. Then, using co-expression analysis of m7G-associated mRNAs & lncRNAs & differential expression analysis (DEA) among LSCC & normal sample categories, we discovered lncRNAs that were connected to m7G. The prognosis prediction model was built for the training category… More >

  • Open Access

    ARTICLE

    CHRM3 is a novel prognostic factor of poor prognosis and promotes glioblastoma progression via activation of oncogenic invasive growth factors

    BIN ZHANG1,#, JIANYI ZHAO3,#, YONGZHI WANG2,#, HUA XU1, BO GAO1, GUANGNING ZHANG1, BIN HAN1, GUOHONG SONG1, JUNCHEN ZHANG1,*, WEI MENG1,*

    Oncology Research, Vol.31, No.6, pp. 917-927, 2023, DOI:10.32604/or.2023.030425

    Abstract Glioblastoma (GBM) is the most aggressive cancer of the brain and has a high mortality rate due to the lack of effective treatment strategy. Clarification of molecular mechanisms of GBM’s characteristic invasive growth are urgently needed to improve the poor prognosis. Single-nuclear sequencing of primary and recurrent GBM samples revealed that levels of M3 muscarinic acetylcholine receptor (CHRM3) were significantly higher in the recurrent samples than in the primary samples. Moreover, immunohistochemical staining of an array of GBM samples showed that high levels of CHRM3 correlated with poor prognosis, consistent with The Cancer Genome Atlas 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… More >

  • Open Access

    ARTICLE

    Comprehensive bioinformatics analysis and experimental validation: An anoikis-related gene prognostic model for targeted drug development in head and neck squamous cell carcinoma

    LIN QIU1,#, ANQI TAO1,#, XIAOQIAN SUN4,5, FEI LIU1, XIANPENG GE2,3,*, CUIYING LI1,*

    Oncology Research, Vol.31, No.5, pp. 715-752, 2023, DOI:10.32604/or.2023.029443

    Abstract We analyzed RNA-sequencing (RNA-seq) and clinical data from head and neck squamous cell carcinoma (HNSCC) patients in The Cancer Genome Atlas (TCGA) Genomic Data Commons (GDC) portal to investigate the prognostic value of anoikis-related genes (ARGs) in HNSCC and develop new targeted drugs. Differentially expressed ARGs were screened using bioinformatics methods; subsequently, a prognostic model including three ARGs (CDKN2A, BIRC5, and PLAU) was constructed. Our results showed that the model-based risk score was a good prognostic indicator, and the potential of the three ARGs in HNSCC prognosis was validated by the TISCH database, the model’s… More >

  • Open Access

    ARTICLE

    Immunogenic cell death-related long noncoding RNA influences immunotherapy against lung adenocarcinoma

    DONGJIE SUN1,2, CHI ZHANG3,*

    Oncology Research, Vol.31, No.5, pp. 753-767, 2023, DOI:10.32604/or.2023.029287

    Abstract Lung adenocarcinoma (LUAD) is the leading cause of cancer-related deaths, accounting for over a million deaths worldwide annually. Immunogenic cell death (ICD) elicits an adaptive immune response. However, the role of ICD-related long noncoding RNAs (lncRNAs) in LUAD is unknown. In this study, we investigated the characteristics of the tumor microenvironment in LUAD, the prognostic significance of ICD-related lncRNAs, and the half-maximal inhibitory concentration (IC50) of possible chemotherapeutic drugs. We sorted prognostic lncRNAs using univariate Cox regression and constructed a risk signature based on them. We then confirmed the model’s accuracy and generated a nomogram.… More > Graphic Abstract

    Immunogenic cell death-related long noncoding RNA influences immunotherapy against lung adenocarcinoma

  • 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… More >

  • Open Access

    ARTICLE

    System analysis based on the T cell exhaustion‑related genes identifies CD38 as a novel therapy target for ovarian cancer

    TIANMING SHI1,2,#, RONGRONG YAN1,2,#, MI HAN1,2,*

    Oncology Research, Vol.31, No.4, pp. 591-604, 2023, DOI:10.32604/or.2023.029282

    Abstract Ovarian cancer (OV) is highly heterogeneous tumor with a very poor prognosis. Studies increasingly show that T cell exhaustion is prognostically relevant in OV. The aim of this study was to dissect the heterogeneity of T cell subclusters in OV through single cell transcriptomic analysis. The single RNA-sequencing (scRNA-seq) data of five OV patients were analyzed, and six major cell clusters were identified after threshold screening. Further clustering of T cell-associated clusters revealed four subtypes. Pathways related to oxidative phosphorylation, G2M checkpoint, JAK-STAT and MAPK signaling were significantly activated, while the p53 pathway was inhibited… More > Graphic Abstract

    System analysis based on the T cell exhaustion‑related genes identifies CD38 as a novel therapy target for ovarian cancer

  • Open Access

    ARTICLE

    A novel prognostic gene signature, nomogram and immune landscape based on tanshinone IIA drug targets for hepatocellular carcinoma: Comprehensive bioinformatics analysis and in vitro experiments

    BOWEN PENG1, YUN GE1, GANG YIN2,3,*

    BIOCELL, Vol.47, No.7, pp. 1519-1535, 2023, DOI:10.32604/biocell.2023.027026

    Abstract Background: Tanshinone IIA, one of the main ingredients of Danshen, is used to treat hepatocellular carcinoma (HCC). However, potential targets of the molecule in the therapy of HCC are unknown. Methods: In this study, we collected the tanshinone IIA targets from public databases for investigation. We screened differentially expressed genes (DEGs) across HCC and normal tissues using mRNA expression profiles from The Cancer Genome Atlas (TCGA). Univariate Cox regression analysis and least absolute shrinkage and selection operator (LASSO) Cox regression models were used to identify and construct the prognostic gene signature. Results: Finally, we discovered common… More >

  • Open Access

    REVIEW

    Progress on diagnostic and prognostic markers of pancreatic cancer

    HONG YANG1,2, WAN LI1,2, LIWEN REN1,2, YIHUI YANG1,2, YIZHI ZHANG1,2, BINBIN GE1,2, SHA LI1,2, XIANGJIN ZHENG1,2, JINYI LIU1,2, SEN ZHANG1,2, GUANHUA DU1,2, BO TANG3, HONGQUAN WANG3, JINHUA WANG1,2,*

    Oncology Research, Vol.31, No.2, pp. 83-99, 2023, DOI:10.32604/or.2023.028905

    Abstract Pancreatic cancer is a malignant disease characterized by low survival and high recurrence rate, whose patients are mostly at the stage of locally advanced or metastatic disease when first diagnosed. Early diagnosis is particularly important because prognostic/predictive markers help guide optimal individualized treatment regimens. So far, CA19-9 is the only biomarker for pancreatic cancer approved by the FDA, but its effectiveness is limited by low sensitivity and specificity. With recent advances in genomics, proteomics, metabolomics, and other analytical and sequencing technologies, the rapid acquisition and screening of biomarkers is now possible. Liquid biopsy also occupies More > Graphic Abstract

    Progress on diagnostic and prognostic markers of pancreatic cancer

Displaying 21-30 on page 3 of 70. Per Page