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  • Open Access

    ARTICLE

    SPP1 and the risk score model to improve the survival prediction of patients with hepatocellular carcinoma based on multiple algorithms and back propagation neural networks

    WENLI ZENG1, FENG LING2, KAINUO DANG3, QINGJIA CHI3,*

    BIOCELL, Vol.47, No.3, pp. 581-592, 2023, DOI:10.32604/biocell.2023.025957

    Abstract Hepatocellular carcinoma (HCC) is associated with poor prognosis and fluctuations in immune status. Although studies have found that secreted phosphoprotein 1 (SPP1) is involved in HCC progression, its independent prognostic value and immune-mediated role remain unclear. Using The Cancer Genome Atlas and Gene Expression Omnibus data, we found that low expression of SPP1 is significantly associated with improved survival of HCC patients and that SPP1 expression is correlated with clinical characteristics. Univariate and multivariate Cox regression confirmed that SPP1 is an independent prognostic factor of HCC. Subsequently, we found that T cell CD4 memory-activated monocytes, M0 macrophages, and resting mast… More >

  • Open Access

    ARTICLE

    PD-1 Relevant Genes Predict the Prognosis of Breast Cancer and Their Prediction Effect in Tumor Response to Immunotherapy

    Yu Xiao1,2,#, Jianping Jiang3,#, Yan Chen1,4, Yi Huang1, Changyuan Wei1,*

    Oncologie, Vol.24, No.4, pp. 729-742, 2022, DOI:10.32604/oncologie.2022.026118

    Abstract Background: Immunotherapy is becoming a powerful approach in the treatment of breast cancer. However, high response rates in the majority of breast cancer patients have yet to be achieved. Materials and Methods: Based on public data sources, we identified 22 genes that are correlated with PD-1 expression as well as differentially expressed between tumor tissues and normal tissues, and high expression of all the key genes was correlated with a superior survival outcome. Using the least absolute shrinkage and selection operator Cox regression model, a risk score was constructed. Results: A multivariate Cox analysis showed that the constructed risk score… More >

  • Open Access

    ARTICLE

    Predicting long-term mortality after Fontan procedures: A risk score based on 6707 patients from 28 studies

    Tarek Alsaied1, Jouke P. Bokma2, Mark E. Engel3, Joey M. Kuijpers2, Samuel P. Hanke1, Liesl Zuhlke4, Bin Zhang5, Gruschen R. Veldtman6

    Congenital Heart Disease, Vol.12, No.4, pp. 393-398, 2017, DOI:10.1111/chd.12468

    Abstract Background: Reported long-term outcome measures vary greatly between studies in Fontan patients making comprehensive appraisal of mortality hazard challenging. We sought to create a clinical risk score to assist monitoring of Fontan patients in the outpatient setting.
    Methods: A systematic review was conducted to evaluate risk factors for long-term (beyond the first postoperative year) mortality in Fontan patients. Studies were eligible for inclusion if ≥90 patients were included or ≥20 long-term mortalities we reported. Risk factors for long-term mortality were determined. The pooled hazard ratios were used to create components of a clinical score for long-term mortality using meta-analysis techniques.
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