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Search Results (49)
  • 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

    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

    Reversal of tamoxifen resistance by artemisinin in ER+ breast cancer: bioinformatics analysis and experimental validation

    ZHILI ZHUO#, DONGNI ZHANG#, WENPING LU*, XIAOQING WU, YONGJIA CUI, WEIXUAN ZHANG, MENGFAN ZHANG

    Oncology Research, Vol.32, No.6, pp. 1093-1107, 2024, DOI:10.32604/or.2024.047257

    Abstract Breast cancer is the leading cause of cancer-related deaths in women worldwide, with Hormone Receptor (HR)+ being the predominant subtype. Tamoxifen (TAM) serves as the primary treatment for HR+ breast cancer. However, drug resistance often leads to recurrence, underscoring the need to develop new therapies to enhance patient quality of life and reduce recurrence rates. Artemisinin (ART) has demonstrated efficacy in inhibiting the growth of drug-resistant cells, positioning art as a viable option for counteracting endocrine resistance. This study explored the interaction between artemisinin and tamoxifen through a combined approach of bioinformatics analysis and experimental… More > Graphic Abstract

    Reversal of tamoxifen resistance by artemisinin in ER+ breast cancer: bioinformatics analysis and experimental validation

  • Open Access

    ARTICLE

    Bioinformatics comprehensive analysis confirmed the potential involvement of SLC22A1 in lower-grade glioma progression and prognosis

    JING HUI1,2, NANA SUN3, YONG LIU4, CHUNBO YU1,2, YONG KE4, YONG CAO4, ANXIAO YU4, QINGHONG KONG1,2,*, YUN LIU1,2,4,*

    BIOCELL, Vol.48, No.5, pp. 803-815, 2024, DOI:10.32604/biocell.2024.047122

    Abstract Background: Although it has been established that the human Solute Carrier Family 22 (SLC22) functions as a cationic transporter, influencing cellular biological metabolism by modulating the uptake of various cations, its impact on cancer prognosis remains unclear. Methods: We conducted a comprehensive analysis utilizing data from The Cancer Genome Atlas (TCGA) and other databases to assess the prognostic value and functional implications across various tumors. Silence of SLC22A1 RNA in glioma U251 cells was performed to access the impact of SLC22A1 on lower-grade glioma (LGG) progression. Results: Our findings demonstrated a significant correlation between SLC22A1 expression… More >

  • 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

    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 >

  • Open Access

    ARTICLE

    Machine learning and bioinformatics to identify biomarkers in response to Burkholderia pseudomallei infection in mice

    YAO FANG1,2,#, FEI XIA1,#, FEIFEI TIAN3, LEI QU1, FANG YANG1, JUAN FANG1,2, ZHENHONG HU1,*, HAICHAO LIU1,*

    BIOCELL, Vol.48, No.4, pp. 613-621, 2024, DOI:10.32604/biocell.2024.031539

    Abstract Objective: In the realm of Class I pathogens, Burkholderia pseudomallei (BP) stands out for its propensity to induce severe pathogenicity. Investigating the intricate interactions between BP and host cells is imperative for comprehending the dynamics of BP infection and discerning biomarkers indicative of the host cell response process. Methods: mRNA extraction from BP-infected mouse macrophages constituted the initial step of our study. Employing gene expression arrays, the extracted RNA underwent conversion into digital signals. The percentile shift method facilitated data processing, with the identification of genes manifesting significant differences accomplished through the application of the t-test. Subsequently,… More >

  • Open Access

    ARTICLE

    Development of a cell adhesion-based prognostic model for multiple myeloma: Insights into chemotherapy response and potential reversal of adhesion effects

    QIAN HU, MENGYAO WANG, JINJIN WANG, YALI TAO, TING NIU*

    Oncology Research, Vol.32, No.4, pp. 753-768, 2024, DOI:10.32604/or.2023.043647

    Abstract Multiple myeloma (MM) is a hematologic malignancy notorious for its high relapse rate and development of drug resistance, in which cell adhesion-mediated drug resistance plays a critical role. This study integrated four RNA sequencing datasets (CoMMpass, GSE136337, GSE9782, and GSE2658) and focused on analyzing 1706 adhesion-related genes. Rigorous univariate Cox regression analysis identified 18 key prognosis-related genes, including KIF14, TROAP, FLNA, MSN, LGALS1, PECAM1, and ALCAM, which demonstrated the strongest associations with poor overall survival (OS) in MM patients. To comprehensively evaluate the impact of cell adhesion on MM prognosis, an adhesion-related risk score (ARRS)… More >

  • Open Access

    ARTICLE

    Bioinformatics analysis and experimental validation of cystathionine-gamma-lyase as a potential prognosis biomarker in hepatocellular carcinoma

    YANAN MA1, SHANSHAN WANG2,*, HUIGUO DING1,*

    BIOCELL, Vol.48, No.3, pp. 463-471, 2024, DOI:10.32604/biocell.2024.048244

    Abstract Background: Hepatocellular carcinoma (HCC) is a common malignant tumor with poor prognosis and high mortality worldwide. Although cystathionine-gamma-lyase (CSE) plays an important role in the development of multiple tumors, the clinical implication and potential mechanisms of CSE in HCC development remain elusive. Methods: In our study, the CSE expression in HCC was analyzed in Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) datasets and further confirmed by RT-qPCR and immunohistochemistry assays in HCC samples. Furthermore, the associations between CSE expression and HCC malignancy as well as survival were analyzed in GSE14520 and validated… More >

  • Open Access

    ARTICLE

    Bioinformatic analysis and in vivo validation of angiogenesis related genes in inflammatory bowel disease

    ZEPENG DONG, CHENYE ZHAO, SHIBO HU, KUI YANG, JUNHUI YU*, XUEJUN SUN, JIANBAO ZHENG*

    BIOCELL, Vol.47, No.12, pp. 2735-2745, 2023, DOI:10.32604/biocell.2023.043422

    Abstract Objectives: Angiogenesis plays a significant role in the occurrence and development of inflammatory bowel disease (IBD). The aim of this study is to explore potential angiogenesis related genes (ARGs) in IBD through bioinformatics analysis and in vivo experiments. Methods: GSE57945, GSE87466, and GSE36807 were obtained from the Gene Expression Omnibus database. GSE57945 was used as the training set, while GSE87466 and GSE36807 were used as the validation set. The key ARGs associated with IBD were identified using the least absolute shrinkage and selection operator (LASSO) and random forest methods. These identified ARGs were then utilized to construct… More >

  • 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,… More > Graphic Abstract

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

  • Open Access

    ARTICLE

    Identification of tumor-suppressor genes in lung squamous cell carcinoma through integrated bioinformatics analyses

    HENG LI1,#, YOUMING LEI3,#, GAOFENG LI1, YUNCHAO HUANG2,*

    Oncology Research, Vol.32, No.1, pp. 187-197, 2024, DOI:10.32604/or.2023.030656

    Abstract Lung cancer is a prevalent malignancy, and fatalities of the disease exceed 400,000 cases worldwide. Lung squamous cell carcinoma (LUSC) has been recognized as the most common pathological form of lung cancer. The comprehensive understanding of molecular features related to LUSC progression has great significance in LUSC prognosis assessment and clinical management. In this study, we aim to identify a panel of signature genes closely associated with LUSC, which can provide novel insights into the progression of LUSC. Gene expression profiles were retrieved from public resources including gene expression omnibus (GEO) and the cancer genome… More >

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