256 research outputs found

    Table1_Establishment of a Novel Prognostic Prediction Model for Gastric Cancer Based on Necroptosis-Related Genes.docx

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    Background: Necroptosis plays a crucial role in the progression of multiple types of cancer. However, the role of necroptosis in gastric cancer (GC) remains unclear. The aim of this study is to establish a necroptosis-related prediction model, which could provide information for treatment monitoring.Methods: The TCGA-STAD cohort was employed to establish a prognostic prediction signature and the GEO dataset was employed for external validation. The correlation between the risk score and the immune landscape, tumor mutational burden (TMB), microsatellite instability (MSI), as well as therapeutic responses of different therapies were analyzed.Results: We constructed a prognostic model based on necroptosis-associated genes (NAGs), and its favorable predictive ability was confirmed in an external cohort. The risk score was confirmed as an independent determinant, and a nomogram was further established for prognosis. A high score implies higher tumor immune microenvironment (TIME) scores and more significant TIME cell infiltration. High-risk patients presented with lower TMB, and low-TMB patients had worse overall survival (OS). Meanwhile, Low-risk scores are characterized by MSI-high (MSI-H), lower Tumor Immune Dysfunction and Exclusion (TIDE) score, and higher immunogenicity in immunophenoscore (IPS) analysis.Conclusion: The developed NAG score provides a novel and effective method for predicting the outcome of GC as well as potential targets for further research.</p

    Effect of estimates of combination of wet cupping and other interventions versus other interventions alone on numbers of cured patients of herpes zoster.

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    <p>Effect of estimates of combination of wet cupping and other interventions versus other interventions alone on numbers of cured patients of herpes zoster.</p

    Effect of estimates of cupping combined with other interventions versus other interventions alone on numbers of cured patients with facial paralysis.

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    <p>Effect of estimates of cupping combined with other interventions versus other interventions alone on numbers of cured patients with facial paralysis.</p

    Reporting of quality components in 135 included randomized clinical trials on cupping therapy.

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    <p>Reporting of quality components in 135 included randomized clinical trials on cupping therapy.</p

    Effect of estimates of cupping for acne in 6 RCTs.

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    <p>Effect of estimates of cupping for acne in 6 RCTs.</p

    Funnel plot assessing outcomes of cured patients reported in 39 randomized controlled trials on 4 diseases.

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    <p>Funnel plot assessing outcomes of cured patients reported in 39 randomized controlled trials on 4 diseases.</p

    Effect of estimates of wet cupping versus medication on numbers of cured patients with herpes zoster.

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    <p>Effect of estimates of wet cupping versus medication on numbers of cured patients with herpes zoster.</p

    Constituent ratios of types of cupping therapy.

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    <p>Constituent ratios of types of cupping therapy.</p

    DataSheet1_Establishment of a Novel Prognostic Prediction Model for Gastric Cancer Based on Necroptosis-Related Genes.docx

    No full text
    Background: Necroptosis plays a crucial role in the progression of multiple types of cancer. However, the role of necroptosis in gastric cancer (GC) remains unclear. The aim of this study is to establish a necroptosis-related prediction model, which could provide information for treatment monitoring.Methods: The TCGA-STAD cohort was employed to establish a prognostic prediction signature and the GEO dataset was employed for external validation. The correlation between the risk score and the immune landscape, tumor mutational burden (TMB), microsatellite instability (MSI), as well as therapeutic responses of different therapies were analyzed.Results: We constructed a prognostic model based on necroptosis-associated genes (NAGs), and its favorable predictive ability was confirmed in an external cohort. The risk score was confirmed as an independent determinant, and a nomogram was further established for prognosis. A high score implies higher tumor immune microenvironment (TIME) scores and more significant TIME cell infiltration. High-risk patients presented with lower TMB, and low-TMB patients had worse overall survival (OS). Meanwhile, Low-risk scores are characterized by MSI-high (MSI-H), lower Tumor Immune Dysfunction and Exclusion (TIDE) score, and higher immunogenicity in immunophenoscore (IPS) analysis.Conclusion: The developed NAG score provides a novel and effective method for predicting the outcome of GC as well as potential targets for further research.</p
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