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  • Open Access

    ARTICLE

    Exosomal microRNA let-7c-5p enhances cell malignant characteristics by inhibiting TAGLN in oral cancer

    YI LI1, TIANYI WANG1, HAORAN DING1, SHIYONG ZHUANG1, XIAOBO DAI1, BING YAN1,2,*

    Oncology Research, Vol.32, No.10, pp. 1623-1635, 2024, DOI:10.32604/or.2024.048191 - 18 September 2024

    Abstract Background: Oral cancer, a malignancy that is prevalent worldwide, is often diagnosed at an advanced stage. MicroRNAs (miRNAs) in circulating exosomes have emerged as promising cancer biomarkers. The role of miRNA let-7c-5p in oral cancer remains underexplored, and its potential involvement in tumorigenesis warrants comprehensive investigation. Methods: Serum samples from 30 patients with oral cancer and 20 healthy controls were used to isolate exosomes and quantify their RNA content. Isolation of the exosomes was confirmed through transmission electron microscopy. Quantitative PCR was used to assess the miRNA profiles. The effects of let-7c-5p and TAGLN overexpression… More >

  • Open Access

    ARTICLE

    NCAPD2 serves as a potential prognostic biomarker for lung adenocarcinoma and promotes cell proliferation, migration, invasion and cell cycle in vitro

    PEILING WU#, LIFANG ZHAO#, HONGYAN ZHANG, YUEYAN LOU, DONGFANG CHEN, SHAN XUE, XUEQING LIU*, HANDONG JIANG*

    Oncology Research, Vol.32, No.9, pp. 1439-1452, 2024, DOI:10.32604/or.2024.047490 - 23 August 2024

    Abstract Objectives: The pro-oncogenic effects of NCAPD2 have been extensively studied across various tumor types; however, its precise role within the context of lung adenocarcinoma (LUAD) remains elusive. This study aims to elucidate the biological functions of NCAPD2 in LUAD and unravel the underlying mechanistic pathways. Methods: Utilizing bioinformatics methodologies, we explored the differential expression of NCAPD2 between normal and tumor samples, along with its correlations with clinical-pathological characteristics, survival prognosis, and immune infiltration. Results: In the TCGA-LUAD dataset, tumor samples demonstrated significantly elevated levels of NCAPD2 expression compared to normal samples (p < 0.001). Clinically, higher… More >

  • Open Access

    ARTICLE

    COL4A2 enhances thyroid cancer cell proliferation through the AKT pathway

    LIANG HE1,2, WEI HAN1,3, KAI YUE1, XUDONG WANG1,*

    Oncology Research, Vol.32, No.9, pp. 1467-1478, 2024, DOI:10.32604/or.2024.047382 - 23 August 2024

    Abstract Objectives: Thyroid cancer (THCA) is the most common malignant tumor in endocrine system and the incidence has been increasing worldwide. And the number of patients dying from THCA has also gradually risen because the incidence continues to increase, so the mechanisms related to effective targets is necessary to improve the survival. This study was to preliminarily investigate the effects of the COL4A2 gene on the regulation of thyroid cancer (THCA) cell proliferation and the associated pathways. Methods: Bioinformatics analysis revealed that COL4A2 was closely associated with cancer development. COL4A2 expression in THCA tissues was analyzed… 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

    ARTICLE

    Fibroblast activation protein (FAP) as a prognostic biomarker in multiple tumors and its therapeutic potential in head and neck squamous cell carcinoma

    RUIFANG LI1, XINRONG NAN2,*, MING LI3,*, OMAR RAHHAL3

    Oncology Research, Vol.32, No.8, pp. 1323-1334, 2024, DOI:10.32604/or.2024.046965 - 17 July 2024

    Abstract Background: Fibroblast activation protein (FAP), a cell surface serine protease, plays roles in tumor invasion and immune regulation. However, there is currently no pan-cancer analysis of FAP. Objective: We aimed to assess the pan-cancer expression profile of FAP, its molecular function, and its potential role in head and neck squamous cell carcinoma (HNSC). Methods: We analyzed gene expression, survival status, immune infiltration, and molecular functional pathways of FAP in The Cancer Genome Atlas (TCGA) and Genotype Tissue Expression (GTEx) tumors. Furthermore, to elucidate the role of FAP in HNSC, we performed proliferation, migration, and invasion assays… More >

  • Open Access

    REVIEW

    Non-coding RNA as future target for diagnose and treatment of perineural invasion in cancers

    BINGJIE LI1,#, WENBO CAO1,2,3,#, JINJING XIAO1, YIXIAO CHEN1, QIYING WEI1, MINGJIN YUE4, SAIJUN MO1,2,3,*

    BIOCELL, Vol.48, No.6, pp. 923-934, 2024, DOI:10.32604/biocell.2024.049160 - 10 June 2024

    Abstract Perineural invasion (PNI), a particularly insidious form of tumor metastasis distinct from hematogenous or lymphatic spread, has the capacity to extend well beyond the primary tumor site, infiltrating distant regions devoid of lymphatic or vascular structures. PNI often heralds a decrease in patient survival rates and is recognized as an indicator of an unfavorable prognosis across a variety of cancers. Despite its clinical significance, the underlying molecular mechanisms of PNI remain elusive, complicating the development of specific and efficacious diagnostic and therapeutic strategies. In the realm of cancer research, non-coding RNAs (ncRNAs) have attracted considerable… More >

  • Open Access

    REVIEW

    MicroRNAs in thyroid cancer with focus on medullary thyroid carcinoma: potential therapeutic targets and diagnostic/prognostic markers and web based tools

    ELHAM SHAKIBA1, SETI BOROOMAND2, SIMA KHERADMAND KIA3, MEHDI HEDAYATI4,*

    Oncology Research, Vol.32, No.6, pp. 1011-1019, 2024, DOI:10.32604/or.2024.049235 - 23 May 2024

    Abstract This review aimed to describe the inculpation of microRNAs (miRNAs) in thyroid cancer (TC) and its subtypes, mainly medullary thyroid carcinoma (MTC), and to outline web-based tools and databases for bioinformatics analysis of miRNAs in TC. Additionally, the capacity of miRNAs to serve as therapeutic targets and biomarkers in TC management will be discussed. This review is based on a literature search of relevant articles on the role of miRNAs in TC and its subtypes, mainly MTC. Additionally, web-based tools and databases for bioinformatics analysis of miRNAs in TC were identified and described. MiRNAs can… More > Graphic Abstract

    MicroRNAs in thyroid cancer with focus on medullary thyroid carcinoma: potential therapeutic targets and diagnostic/prognostic markers and web based tools

  • Open Access

    ARTICLE

    Knockdown of HE4 suppresses tumor growth and invasiveness in lung adenocarcinoma through regulation of EGFR signaling

    YUE ZHANG1,#, WENYU YANG1,#, XIAOWANG HAN1,#, YUE QIAO1, HAITAO WANG2, TING CHEN1, TIANYING LI1, WEN-BIN OU1,*

    Oncology Research, Vol.32, No.6, pp. 1119-1128, 2024, DOI:10.32604/or.2024.045025 - 23 May 2024

    Abstract It has been shown that the high expression of human epididymis protein 4 (HE4) in most lung cancers is related to the poor prognosis of patients, but the mechanism of pathological transformation of HE4 in lung cancer is still unclear. The current study is expected to clarify the function and mechanism of HE4 in the occurrence and metastasis of lung adenocarcinoma (LUAD). Immunoblotting evaluated HE4 expression in lung cancer cell lines and biopsies, and through analysis of The Cancer Genome Atlas (TCGA) dataset. Frequent HE4 overexpression was demonstrated in LUAD, but not in lung squamous… More >

  • Open Access

    ARTICLE

    CARD11 serves as a therapeutic biomarker for the drug therapies of ccRCC

    KAIWEN TIAN#, HANZHONG CHEN#, QIANQIAN WANG, FENGLIAN JIANG, CHUNXIANG FENG, TENG LI, XIAOYONG PU, YANLIN TANG*, JIUMIN LIU*

    BIOCELL, Vol.48, No.5, pp. 817-834, 2024, DOI:10.32604/biocell.2024.048737 - 06 May 2024

    Abstract Background: The incidence of clear cell renal cell carcinoma (ccRCC) is globally high; however, despite the introduction of innovative drug therapies, there remains a lack of effective biomarkers for evaluating treatment response. Recently, Caspase recruiting domain-containing protein 11 (CARD11) has garnered attention due to its significant association with tumor development and the immune system. Methods: The expression of CARD11 mRNA and protein in ccRCC were analyzed by public database and immunohistochemistry. The focus of this study is on the epigenomic modifications of CARD11, its expression of ccRCC immunophenotype, and its correlation with response to immunotherapy… More > Graphic Abstract

    CARD11 serves as a therapeutic biomarker for the drug therapies of ccRCC

  • Open Access

    ARTICLE

    Enhancing Cancer Classification through a Hybrid Bio-Inspired Evolutionary Algorithm for Biomarker Gene Selection

    Hala AlShamlan*, Halah AlMazrua*

    CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 675-694, 2024, DOI:10.32604/cmc.2024.048146 - 25 April 2024

    Abstract In this study, our aim is to address the problem of gene selection by proposing a hybrid bio-inspired evolutionary algorithm that combines Grey Wolf Optimization (GWO) with Harris Hawks Optimization (HHO) for feature selection. The motivation for utilizing GWO and HHO stems from their bio-inspired nature and their demonstrated success in optimization problems. We aim to leverage the strengths of these algorithms to enhance the effectiveness of feature selection in microarray-based cancer classification. We selected leave-one-out cross-validation (LOOCV) to evaluate the performance of both two widely used classifiers, k-nearest neighbors (KNN) and support vector machine… More >

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