检索结果-南通市图书馆

Predictive biomarkers for immune checkpoint blockade and opportunities for combination therapies

Genes & Diseases 2019年第3期6卷 232-246页

作者： Hongxing Shen Eddy Shih-Hsin Yang Marty Conry John Fiveash carlo contreras James A.Bonner Lewis Zhichang Shi Department of Radiation Oncology The University of Alabama at Birmingham School of MedicineBirminghamAL35233USA O’Neal Comprehensive Cancer Center The University of Alabama at Birmingham School of MedicineBirminghamAL35233USA Department of Medical Oncology The University of Alabama at Birmingham School of MedicineBirminghamAL35233USA Department of Surgical Oncology The University of Alabama at Birmingham School of MedicineBirminghamAL35233USA Department of Microbiology The University of Alabama at Birmingham School of MedicineBirminghamAL35233USA Program in Immunology The University of Alabama at Birmingham School of MedicineBirminghamAL35233USA

Immune checkpoint blockade therapies(ICBs)are a prominent breakthrough in cancer immunotherapy in recent years(named the 2013“Breakthrough of the Year”by the Science magazine).Thus far,FDA-approved ICBs primarily target immune checkpoints CTLA-4,PD-1,and *** their impressive long-term therapeutic benefits,their efficacy is limited to a small subset of cancer *** addition,ICBs induce inadvertent immune-related adverse events(irAEs)and can be costly for long-term *** overcome these limitations,two strategies are actively being pursued:identification of predictive biomarkers for clinical response to ICBs and multi-pronged combination *** will allow clinicians to practice a precision medicine approach in ICBs(biomarker-based patient selection)such as treating triple-negative breast cancer patients that exhibit PD-L1 staining of tumor-infiltrating immune cells in1%of the tumor area with nanoparticle albumin-bound(nab)epaclitaxel plus anti-PD-L1 and treating patients of MSI-H or MMR deficient unresectable or metastatic solid tumors with pembrolizumab(anti-PD-1).Importantly,the insights gained from these biomarker studies can guide rational combinatorial strategies such as CDK4/6 inhibitor/fractionated radiotherapy/HDACi in conjunction with ICBs to maximize therapeutic ***,with the rapid technological advents(e.g.,ATCT-Seq),we predict more reliable biomarkers will be identified,which in turn will inspire more promising combination therapies.

关键词： IFN-γ Immune checkpoint Microbiota Microsatellite instability Neoantigen PD-L1 Radiotherapy

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Slope reliability and back analysis of failure with geotechnical parameters estimated using Bayesian inference

引用

Journal of Rock Mechanics and Geotechnical Engineering 2019年第3期11卷 628-643页

作者： Luis-Fernando contreras Edwin T.Brown The University of Queensland St Lucia Campus

A Bayesian approach is proposed for the inference of the geotechnical parameters used in slope *** methodology involves the construction of posterior probability distributions that combine prior information on the parameter values with typical data from laboratory tests and site investigations used in *** posterior distributions are often complex,multidimensional functions whose analysis requires the use of Markov chain Monte carlo(MCMC)*** procedures are used to draw representative samples of the parameters investigated,providing information on their best estimate values,variability and *** paper describes the methodology to define the posterior distributions of the input parameters for slope design and the use of these results for evaluation of the reliability of a slope with the first order reliability method(FORM).The reliability analysis corresponds to a forward stability analysis of the slope where the factor of safety(FS)is calculated with a surrogate model from the more likely values of the input *** Bayesian model is also used to update the estimation of the input parameters based on the back analysis of slope *** this case,the condition FS?1 is treated as a data point that is compared with the model prediction of *** analysis requires a sufficient number of observations of failure to outbalance the effect of the initial input *** parameters are updated according to their uncertainty,which is determined by the amount of data supporting *** methodology is illustrated with an example of a rock slope characterised with a Hoek-Brown rock mass *** example is used to highlight the advantages of using Bayesian methods for the slope reliability analysis and to show the effects of data support on the results of the updating process from back analysis of failure.

关键词： Bayesian analysis Hoek-Brown criterion Slope reliability Back analysis of failure

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：