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  • 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

    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 and targeted therapy. Furthermore, to… 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

    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 (SVM), on high-dimensional cancer microarray… 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, a comprehensive analysis… More >

  • Open Access

    ARTICLE

    IQGAP3 promotes the progression of glioma as an immune and prognostic marker

    XIAOFENG GAO1,2,3,4, JUANJUAN GE3, XUZHENG GAO1,3, NA MEI1,3, YANTING SU3, SHIGANG SHAN3, WENBIN QIAN3, JIANGHENG GUAN5, ZHENWANG ZHANG1,3,*, LONG WANG2,3,4,*

    Oncology Research, Vol.32, No.4, pp. 659-678, 2024, DOI:10.32604/or.2023.046712

    Abstract Background: IQGAP3 plays a crucial role in regulating cell proliferation, division, and cytoskeletal organization. Abnormal expression of IQGAP3 has been linked to various tumors, but its function in glioma is not well understood. Methods: Various methods, including genetic differential analysis, single-cell analysis, ROC curve analysis, Cox regression, Kaplan-Meier analysis, and enrichment analysis, were employed to analyze the expression patterns, diagnostic potential, prognostic implications, and biological processes involving IQGAP3 in normal and tumor tissues. The impact of IQGAP3 on immune infiltration and the immune microenvironment in gliomas was evaluated using immunofluorescence. Additionally, the cBioPortal database was used to analyze copy number… More > Graphic Abstract

    IQGAP3 promotes the progression of glioma as an immune and prognostic marker

  • Open Access

    ARTICLE

    Investigation of the feasibility of NRAV as a biomarker for hepatocellular carcinoma

    JUN LIU1,2,3,#, WENLI LI3, RUYUE LU1,2, JIAQING XU1,2, CHUNHUI JIANG4, JUNLIN DUAN3, LINGZHI ZHANG1,#,*, GUANFU WANG1, JIAXI CHEN1,2,#,*

    Oncology Research, Vol.32, No.4, pp. 717-726, 2024, DOI:10.32604/or.2023.043575

    Abstract The long non-coding RNA, Negative Regulator of Antiviral Response (NRAV) has been identified as a participant in both respiratory virus replication and immune checkpoints, however, its involvement in pan-cancer immune regulation and prognosis, particularly those of hepatocellular carcinoma (HCC), remains unclear. To address this knowledge gap, we analyzed expression profiles obtained from The Cancer Genome Atlas (TCGA) database, comparing normal and malignant tumor tissues. We found that NRAV expression is significantly upregulated in tumor tissues compared to adjacent nontumor tissues. Kaplan-Meier (K-M) analysis revealed the prognostic power of NRAV, wherein overexpression was significantly linked to reduced overall survival in a… More >

  • Open Access

    ARTICLE

    Identifying and validating MMP family members (MMP2, MMP9, MMP12, and MMP16) as therapeutic targets and biomarkers in kidney renal clear cell carcinoma (KIRC)

    KUNLUN LI1, DANDAN LI2, BARBOD HAFEZ3,*, MOUNIR M. SALEM BEKHIT4, YOUSEF A. BIN JARDAN4, FARS KAED ALANAZI4, EHAB I. TAHA4, SAYED H. AUDA4, FAIQAH RAMZAN5,*, MUHAMMAD JAMIL6

    Oncology Research, Vol.32, No.4, pp. 737-752, 2024, DOI:10.32604/or.2023.042925

    Abstract Kidney Renal Clear Cell Carcinoma (KIRC) is a malignant tumor that carries a substantial risk of morbidity and mortality. The MMP family assumes a crucial role in tumor invasion and metastasis. This study aimed to uncover the mechanistic relevance of the MMP gene family as a therapeutic target and diagnostic biomarker in Kidney Renal Clear Cell Carcinoma (KIRC) through a comprehensive approach encompassing both computational and molecular analyses. STRING, Cytoscape, UALCAN, GEPIA, OncoDB, HPA, cBioPortal, GSEA, TIMER, ENCORI, DrugBank, targeted bisulfite sequencing (bisulfite-seq), conventional PCR, Sanger sequencing, and RT-qPCR based analyses were used in the present study to analyze MMP… More >

  • Open Access

    REVIEW

    LncRNAs unraveling their sponge role in glioblastoma and potential therapeutic applications

    CAIJUAN LIU, XINGHAO LI, YUXUAN WU, JINHUI YANG, MENGHAN WANG, YUNQI MA*

    BIOCELL, Vol.48, No.3, pp. 387-401, 2024, DOI:10.32604/biocell.2024.048791

    Abstract Glioblastoma multiforme (GBM), the most common and aggressive primary brain tumor in adults, is the most malignant and still has no cure. However, the novel role of long non-coding RNAs (lncRNAs) in the pathogenesis of glioblastoma is attracting extensive attention. LncRNAs are transcribed RNA molecules over 200 nucleotides long that do not encode proteins. Unlike small non-coding RNAs, such as microRNAs (miRNAs), lncRNAs have more complex secondary and tertiary structures that enable them to interact with DNA, RNA, and proteins and perform multiple regulatory functions. LncRNAs act as molecular sponges, absorbing and sequestering other biomolecules, particularly miRNAs, thereby preventing these… More > Graphic Abstract

    LncRNAs unraveling their sponge role in glioblastoma and potential therapeutic applications

  • 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 in HCC patients. Finally, the… More >

  • Open Access

    ARTICLE

    Contributions of Remote Sensing and GIS to the Inventory and Mapping of Colonial Geodetic Markers in the Katangese Copper Belt

    John Tshibangu Wa Ilunga1,*, Donatien Kamutanda Kalombo1, Olivier Ngoie Inabanza1, Dikumbwa N’landu1,2, Joseph Mukalay Muamba1,3, Patrice Amisi Mwana1, Urcel Kalenga Tshingomba1, Junior Muyumba Munganga1, Catherine Nsiami Mabiala1

    Revue Internationale de Géomatique, Vol.33, pp. 15-35, 2024, DOI:10.32604/rig.2024.046629

    Abstract The mutation of spaces observed in the Katangese Copper Belt (KCB) causes significant topographical changes. Some colonial geodetic markers are easily noticeable on many of the hills making up the KCB. These hills are subject to mining which ruins the completeness of the network of triangulations: geometric and trigonometric Katangese. In order to keep control of the latter, the study shows on the one hand the possibility of using SRTM data (Shuttle Radar Topography Mission) in the monitoring of the macro-change of the reliefs, from 442 positions, and on the other hand, an indirect (remote) inventory method of the existing… More >

  • Open Access

    ARTICLE

    Screen for autophagy-related biomarkers in osteoarthritis based on bioinformatic analysis

    CHAO LIU*

    BIOCELL, Vol.48, No.2, pp. 339-351, 2024, DOI:10.32604/biocell.2023.047044

    Abstract Introduction: Osteoarthritis (OA) is still an important health problem, and understanding its pathological mechanisms is essential for its diagnosis and treatment. There is evidence that autophagy may play a role in OA progression, but the exact mechanism remains unclear. Methods: In this study, we adopted a multi-prong approach to systematically identify the key autophagy-related genes (ARGs) associated with OA. Through weighted gene co-expression network analysis, we initially identified significant gene modules associated with OA. Subsequent differential gene analysis performed on normal and OA specimens. Further analysis later using the MCC algorithm highlighted hub ARGs. These genes were then incorporated into… More >

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