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Search Results (99)
  • 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 identify signaling pathways associated with… 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 using univariate & multivariate COX… More >

  • Open Access

    ARTICLE

    Designing a risk prognosis model based on natural killer cell-linked genes to accurately evaluate the prognosis of gastric cancer

    GAOZHONG LI, FUXIN LI, NING WEI, QING JIA*

    BIOCELL, Vol.47, No.9, pp. 2081-2099, 2023, DOI:10.32604/biocell.2023.029986

    Abstract Background: This study was aimed at identifying natural killer (NK) cell-related genes to design a risk prognosis model for the accurate evaluation of gastric cancer (GC) prognosis. Methods: We obtained NK cell-related genes from various databases, followed by Cox regression analysis and molecular typing to identify prognostic genes. Various immune algorithms and enrichment analyses were used to investigate the mutations, immune status, and pathway variations among different genotypes. The key prognostic genes were assessed using the least absolute shrinkage and selection operator (Lasso) regression analysis and univariate Cox regression analysis. Thereafter, the risk score (RS) prognosis model was constructed based… More > Graphic Abstract

    Designing a risk prognosis model based on natural killer cell-linked genes to accurately evaluate the prognosis of gastric cancer

  • Open Access

    ARTICLE

    Characterization of prognosis and immune infiltration by a novel glutamine metabolism-related model in cutaneous melanoma

    MENGQIN ZHU1,2,3,4,#, TIANYI XU5,#, HAN ZHANG3,4, XIN FAN3,4, YULAN WANG6, JIAJIA ZHANG3,4, FEI YU1,2,3,4,*

    BIOCELL, Vol.47, No.9, pp. 1931-1945, 2023, DOI:10.32604/biocell.2023.028968

    Abstract Glutamine metabolism (GM) plays an important role in tumor growth and proliferation. Skin cutaneous melanoma (SKCM) is a glutamine-dependent cancer. However, the molecular characteristics and action mechanism of GM on SKCM remain unclear. Therefore, we aimed to explore the effects of GM-related genes on survival, clinicopathological characteristics, and the tumor microenvironment in SKCM. In this study, 682 SKCM samples were obtained from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Consensus clustering was used to classify SKCM samples into distinct subtypes based on 41 GM-related genes. Differences in survival, immune infiltration, clinical characteristics, and Kyoto Encyclopedia of… More > Graphic Abstract

    Characterization of prognosis and immune infiltration by a novel glutamine metabolism-related model in cutaneous melanoma

  • Open Access

    ARTICLE

    Polo-like kinase 1 suppresses lung adenocarcinoma immunity through necroptosis

    PENGCHENG ZHANG1,#,*, XINGLONG ZHANG2,#, YONGFU ZHU3, YIYI CUI1, JING XU4, WEIPING ZHANG1,*

    Oncology Research, Vol.31, No.6, pp. 937-953, 2023, DOI:10.32604/or.2023.030933

    Abstract Polo-like kinase 1 (PLK1) plays a crucial role in cell mitosis and has been associated with necroptosis. However, the role of PLK1 and necroptosis in lung adenocarcinoma (LA) remains unclear. In this study, we analyzed The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression databases to evaluate the prognostic value and mechanistic role of PLK1 in LA. PLK1 was found to be highly expressed in LA and was positively associated with advanced disease staging and poor survival outcomes. Functional enrichment analysis showed that PLK1 was involved in cell mitosis, neurotransmitter transmission, and drug metabolism. Further analysis using single-sample gene set enrichment… More > Graphic Abstract

    Polo-like kinase 1 suppresses lung adenocarcinoma immunity through necroptosis

  • 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 database. Knockdown of CHRM3 inhibited… More >

  • Open Access

    ARTICLE

    Hemodynamic Profiling Using a Cardiac Index–Systemic Vascular Resistance Plot in Patients with Fontan Circulation

    Yuki Kawasaki1,*, Takeshi Sasaki1, Daisuke Kobayashi2

    Congenital Heart Disease, Vol.18, No.4, pp. 431-445, 2023, DOI:10.32604/chd.2023.030910

    Abstract Background: Elevated Fontan pressure (FP) alone cannot fully predict clinical outcomes. We hypothesized that hemodynamic profiling using a cardiac index (CI)-systemic vascular resistance (SVR) plot could characterize clinical features and predict the prognosis of post-Fontan patients. Methods: We included post-Fontan patients who underwent cardiac catheterization at age < 10 years. Patients were classified into four categories: A, CI  ≥ 3, SVR index (SVRI) ≥ 20; B, CI < 3, SVRI ≥ 20; C, CI ≥ 3, SVRI < 20; and D, CI < 3, SVRI < 20. The primary outcome was freedom from the combined endpoint: new onset of protein-losing enteropathy or plastic bronchitis, heart transplant, and death. Clinical and hemodynamic variables and freedom from… More > Graphic Abstract

    Hemodynamic Profiling Using a Cardiac Index–Systemic Vascular Resistance Plot in Patients with Fontan Circulation

  • 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 accuracy was validated in two… More >

  • Open Access

    ARTICLE

    Elucidating the clinical and immunological value of m6A regulator-mediated methylation modification patterns in adrenocortical carcinoma

    WENHAO XU1,#, HAOMING LI2,#, YASIR HAMEED3, MOSTAFA A. ABDEL-MAKSOUD4, SAEEDAH MUSAED ALMUTAIRI4, AYMAN MUBARAK4, MOHAMMED AUFY5, WAEL ALTURAIKI6, ABDULAZIZ J. ALSHALANI6, AYMAN M. MAHMOUD7,*, CHEN LI8,*

    Oncology Research, Vol.31, No.5, pp. 819-831, 2023, DOI:10.32604/or.2023.029414

    Abstract N6-methyladenosine methylation (m6A) is a common type of epigenetic alteration that prominently affects the prognosis of tumor patients. However, it is unknown how the m6A regulator affects the tumor microenvironment (TME) cell infiltration in adrenocortical carcinoma (ACC) and how it affects the prognosis of ACC patients yet. The m6A alteration patterns of 112 ACC patients were evaluated, furthermore, the association with immune infiltration cell features was investigated. The unsupervised clustering method was applied to typify the m6A alteration patterns of ACC patients. The principal component analysis (PCA) technique was taken to create the m6A score to assess the alteration pattern… 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 >

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