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Search Results (216)
  • Open Access

    ARTICLE

    Leveraging diverse cell-death patterns to predict the clinical outcome of immune checkpoint therapy in lung adenocarcinoma: Based on muti-omics analysis and vitro assay

    HONGYUAN LIANG1,#, YANQIU LI2,#, YONGGANG QU3, LINGYUN ZHANG4,*

    Oncology Research, Vol.32, No.2, pp. 393-407, 2024, DOI:10.32604/or.2023.031134

    Abstract Advanced LUAD shows limited response to treatment including immune therapy. With the development of sequencing omics, it is urgent to combine high-throughput multi-omics data to identify new immune checkpoint therapeutic response markers. Using GSE72094 (n = 386) and GSE31210 (n = 226) gene expression profile data in the GEO database, we identified genes associated with lung adenocarcinoma (LUAD) death using tools such as “edgeR” and “maftools” and visualized the characteristics of these genes using the “circlize” R package. We constructed a prognostic model based on death-related genes and optimized the model using LASSO-Cox regression methods. By calculating the cell death… More >

  • Open Access

    ARTICLE

    Polo-like kinase 1 as a biomarker predicts the prognosis and immunotherapy of breast invasive carcinoma patients

    JUAN SHEN1,#, WEIYU ZHANG2,3,#, QINQIN JIN2,3,#, FUYU GONG4,#, HEPING ZHANG5, HONGLIANG XU5, JIEJIE LI2,3, HUI YAO2,3, XIYA JIANG2,3, YINTING YANG2,3, LIN HONG2,3, JIE MEI2,3, YANG SONG6,*, SHUGUANG ZHOU2,3,7,*

    Oncology Research, Vol.32, No.2, pp. 339-351, 2024, DOI:10.32604/or.2023.030887

    Abstract Background: Invasive breast carcinoma (BRCA) is associated with poor prognosis and high risk of mortality. Therefore, it is critical to identify novel biomarkers for the prognostic assessment of BRCA. Methods: The expression data of polo-like kinase 1 (PLK1) in BRCA and the corresponding clinical information were extracted from TCGA and GEO databases. PLK1 expression was validated in diverse breast cancer cell lines by quantitative real-time polymerase chain reaction (qRT-PCR) and western blotting. Single sample gene set enrichment analysis (ssGSEA) was performed to evaluate immune infiltration in the BRCA microenvironment, and the random forest (RF) and support vector machine (SVM) algorithms… More >

  • Open Access

    ARTICLE

    Enhancing Breast Cancer Diagnosis with Channel-Wise Attention Mechanisms in Deep Learning

    Muhammad Mumtaz Ali, Faiqa Maqsood, Shiqi Liu, Weiyan Hou, Liying Zhang, Zhenfei Wang*

    CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 2699-2714, 2023, DOI:10.32604/cmc.2023.045310

    Abstract Breast cancer, particularly Invasive Ductal Carcinoma (IDC), is a primary global health concern predominantly affecting women. Early and precise diagnosis is crucial for effective treatment planning. Several AI-based techniques for IDC-level classification have been proposed in recent years. Processing speed, memory size, and accuracy can still be improved for better performance. Our study presents ECAM, an Enhanced Channel-Wise Attention Mechanism, using deep learning to analyze histopathological images of Breast Invasive Ductal Carcinoma (BIDC). The main objectives of our study are to enhance computational efficiency using a Separable CNN architecture, improve data representation through hierarchical feature aggregation, and increase accuracy and… More >

  • Open Access

    ARTICLE

    Regulation of RNA methylation and immune infiltration patterns by m5C regulators in head and neck squamous cell carcinoma

    SHIDA HOU1,#, TIANJUN LAN2,#, YAOCHENG YANG3,#, PEISHENG LIANG1, XIN LIU4,5, JUNJIE WANG6, ZHIFENG CHEN7, RONGSHENG ZENG1,*, ZIJING HUANG8,*

    BIOCELL, Vol.47, No.12, pp. 2641-2660, 2023, DOI:10.32604/biocell.2023.043291

    Abstract Background: 5-Methylcytosine (m5C) methylation contributes to the development and progression of various malignant tumors. This study aimed to explore the potential role of m5C methylation regulators (m5CMRs) in head and neck squamous cell carcinoma (HNSCC). Methods: The transcription data of HNSCC samples were obtained from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. Subsequently, the m5C patterns in HNSCC were evaluated based on 14 m5CMRs. Then, the m5Cscore was developed to quantify m5C patterns by using principal component analysis (PCA) algorithms. Two single-cell RNA sequencing datasets and various methods were employed to assess the prognostic value… More >

  • Open Access

    ARTICLE

    Evaluation of combined detection of nuclear factor erythroid 2-related factor 2 and glutathione peroxidase 4 in primary hepatic carcinoma and preliminary exploration of pathogenesis

    JIE DUAN, AIDONG GU*, WEI CHEN, CHANGHAO CHEN, FANGNAN SONG, FAXI CHEN, FANGFANG JIANG, HUIWEN XING

    BIOCELL, Vol.47, No.12, pp. 2609-2615, 2023, DOI:10.32604/biocell.2023.042472

    Abstract Objective: This study aims to analyze the clinical significance and mechanism of nuclear factor erythroid 2-related factor 2 (NRF2) and glutathione peroxidase 4 (GPX4) in primary hepatic carcinoma (PHC). Methods: The expression of NRF2 and GPX4 in peripheral blood of patients with PHC was determined to analyze the diagnostic value of the two combined for PHC. The prognostic significance of NRF2 and GPX4 was evaluated by 3-year follow-up. Human liver epithelial cells THLE-2 and human hepatocellular carcinoma cells HepG2 were purchased, and the expression of NRF2 and GPX4 in the cells was determined. NRF2 and GPX4 aberrant expression vectors were… More > Graphic Abstract

    Evaluation of combined detection of nuclear factor erythroid 2-related factor 2 and glutathione peroxidase 4 in primary hepatic carcinoma and preliminary exploration of pathogenesis

  • Open Access

    ARTICLE

    SIRT2 interacts with DDX24 to promote nasopharyngeal carcinoma growth

    HAIYING YUE, CHUNHUI WANG, HUIJUN ZHU, QINGHUA DU, JIAN LI, XUE OU, XIANGDE LI, QIULU ZHONG, YITING XIE, DANJING LUO, YIHE LI, CHUNXIAO LIANG, XUEMEI XU, SONGNAN DU, WENQI LIU*

    BIOCELL, Vol.47, No.11, pp. 2445-2452, 2023, DOI:10.32604/biocell.2023.042512

    Abstract Background: Nasopharyngeal carcinoma (NPC) is one of the most prevalent cancers in Southeast Asia. Sirtuin 2 (SIRT2) is a member of the NAD+-dependent deacetylase family and has been shown to play important roles in numerous biological processes. However, Its function in NPC remains uncertain. The primary aim of this study is to clarify the role of SIRT2 in NPC. Methods: In this research, we examined the effect of SIRT2 silencing on NPC cell proliferation and colony formation using vitro NPC cell lines. Co-immunoprecipitation and mass spectrometry was applied to identify SIRT2-interacting proteins in NPC cells. Results: In comparison to nasopharyngeal… More > Graphic Abstract

    SIRT2 interacts with DDX24 to promote nasopharyngeal carcinoma growth

  • Open Access

    ARTICLE

    FGD5 as a novel prognostic biomarker and its association with immune infiltrates in lung adenocarcinoma

    ZHONGXIANG TANG1,2, LILI WANG1,2, GUOJUN WU1,2, LING QIN1,2,*, YURONG TAN1,2,*

    BIOCELL, Vol.47, No.11, pp. 2503-2516, 2023, DOI:10.32604/biocell.2023.031565

    Abstract Background: Non-small cell lung cancer (NSCLC) has a poor prognosis with a low 5-year survival rate. Lung adenocarcinoma (LUAD) accounts for 50%. Facio-genital dysplasia-5 (FGD5), a member of a subfamily of Rho GTP-GDP exchange factors, may be a good molecular biomarker for diagnosis and prognosis. Objective: To explore the clinical application of FGD5, the study was designed to investigate the prognosis value of FGD5 expression and its correlation with immune infiltrates in LUAD patients. Methods: Through the Wilcoxon signed-rank test and logistic regression, the correlation between clinical characteristics and FGD5 expression was analyzed. Kaplan–Meier plotter analysis, Cox regression, and a… More > Graphic Abstract

    FGD5 as a novel prognostic biomarker and its association with immune infiltrates in lung adenocarcinoma

  • Open Access

    ARTICLE

    Aryl hydrocarbon receptor nuclear translocator 2 as a prognostic biomarker and immunotherapeutic indicator for clear cell renal cell carcinoma

    RENLONG ZHOU1,2,#, SHUANG LI3,#, XILIN XIAO1,*

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

    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 used to estimate the enrichment… More >

  • Open Access

    ARTICLE

    Analysis of functional hub genes indicates DLGAP5 is linked to lung adenocarcinoma prognosis

    HAOSHENG ZHENG1,#, RUIJUN LIN2,#, WEIJIE CAI1, YUZHEN ZHENG1, XINGPING YANG1, ZUI LIU1, FEI QIN1, YONGJIE CAI3, XIANYU QIN1,*, HONGYING LIAO1,*

    BIOCELL, Vol.47, No.11, pp. 2453-2469, 2023, DOI:10.32604/biocell.2023.030032

    Abstract Introduction: The difficulty in treating lung adenocarcinoma (LUAD) is caused by a shortage of knowledge about the biological mechanisms and a lack of treatment choices. Objectives: The aim of this study was to identify a valuable molecular target for the treatment of LUAD. Methods: Using multiple databases, we screened for hub genes in LUAD using Cytoscape and explored the expression and prognosis of DLG associated protein 5 (DLGAP5) in LUAD. We investigated the genetic variation, functional enrichment, and epigenetic activity of DLGAP5. Furthermore, we evaluated the relationship between the tumor microenvironment (TME) and DLGAP5. Results: Our study identified 10 hub… More > Graphic Abstract

    Analysis of functional hub genes indicates DLGAP5 is linked to lung adenocarcinoma prognosis

  • Open Access

    REVIEW

    New perspectives on biology, disease progression, and therapy response of head and neck cancer gained from single cell RNA sequencing and spatial transcriptomics

    GERWIN HELLER1,*, THORSTEN FUEREDER1, ALEXANDER MICHAEL GRANDITS1, ROTRAUD WIESER1,2,*

    Oncology Research, Vol.32, No.1, pp. 1-17, 2024, DOI:10.32604/or.2023.044774

    Abstract Head and neck squamous cell carcinoma (HNSCC) is one of the most frequent cancers worldwide. The main risk factors are consumption of tobacco products and alcohol, as well as infection with human papilloma virus. Approved therapeutic options comprise surgery, radiation, chemotherapy, targeted therapy through epidermal growth factor receptor inhibition, and immunotherapy, but outcome has remained unsatisfactory due to recurrence rates of ~50% and the frequent occurrence of second primaries. The availability of the human genome sequence at the beginning of the millennium heralded the omics era, in which rapid technological progress has advanced our knowledge of the molecular biology of… More >

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