Optimization of Immune Checkpoint Blockade via a Multiscale Model System [0.03%]
利用多尺度模型系统优化免疫检查点阻断疗法
Anne M Talkington,Anthony J Kearsley
Anne M Talkington
Cancer progresses when cancer cells selectively bind to inhibitory receptors on a T cell surface, downregulating tumor immune response. One standard-of-care strategy to combat this process is immune checkpoint blockade. Immune checkpoint bl...
Inference on spatial heterogeneity in tumor microenvironment using spatial transcriptomics data [0.03%]
基于空间转录组学数据推断肿瘤微环境中的空间异质性
Antara Biswas,Bassel Ghaddar,Gregory Riedlinger et al.
Antara Biswas et al.
In the tumor microenvironment (TME), functional interactions among tumor, immune, and stromal cells and the extracellular matrix play key roles in tumor progression, invasion, immune modulation, and response to treatment. Intratumor heterog...
SITH: An R package for visualizing and analyzing a spatial model of intratumor heterogeneity [0.03%]
SITH：一个用于可视化和分析肿瘤内异质性空间模型的R语言包
Phillip B Nicol,Dániel L Barabási,Kevin R Coombes et al.
Phillip B Nicol et al.
Cancer progression, including the development of intratumor heterogeneity, is inherently a spatial process. Mathematical models of tumor evolution may be a useful starting point for understanding the patterns of heterogeneity that can emerg...
A validated mathematical model of FGFR3-mediated tumor growth reveals pathways to harness the benefits of combination targeted therapy and immunotherapy in bladder cancer [0.03%]
一个经验证的数学模型揭示了FGFR3介导的肿瘤生长在膀胱癌中结合靶向治疗和免疫治疗的途径
Kamaldeen Okuneye,Daniel Bergman,Jeffrey C Bloodworth et al.
Kamaldeen Okuneye et al.
Bladder cancer is a common malignancy with over 80,000 estimated new cases and nearly 18,000 deaths per year in the United States alone. Therapeutic options for metastatic bladder cancer had not evolved much for nearly four decades, until r...
Computational immune infiltration analysis of pediatric high-grade gliomas (pHGGs) reveals differences in immunosuppression and prognosis by tumor location [0.03%]
儿童高级别胶质瘤(pHGG)的计算免疫浸润分析揭示了肿瘤位置不同的免疫抑制和预后差异
Cavan P Bailey,Ruiping Wang,Mary Figueroa et al.
Cavan P Bailey et al.
Immunotherapy for cancer has moved from pre-clinical hypothesis to successful clinical application in the past 15 years. However, not all cancers have shown response rates in clinical trials for these new agents, high-grade gliomas in parti...
Predicting Time to Relapse in Acute Myeloid Leukemia through Stochastic Modeling of Minimal Residual Disease Based on Clonality Data [0.03%]
通过基于克隆性数据的随机模型预测急性髓细胞性白血病的最小残留疾病复发时间
Khanh N Dinh,Roman Jaksik,Seth J Corey et al.
Khanh N Dinh et al.
Event-free and overall survival remain poor for patients with acute myeloid leukemia. Chemoresistant clones contributing to relapse arise from minimal residual disease (MRD) or newly-acquired mutations. However, the dynamics of clones compr...
Computational systems-biology approaches for modeling gene networks driving epithelial-mesenchymal transitions [0.03%]
计算系统生物学方法在构建上皮间质转化基因调控网络模型中的应用研究
Ataur Katebi,Daniel Ramirez,Mingyang Lu
Ataur Katebi
Epithelial-mesenchymal transition (EMT) is an important biological process through which epithelial cells undergo phenotypic transitions to mesenchymal cells by losing cell-cell adhesion and gaining migratory properties that cells use in em...
Are all models wrong? [0.03%]
所有的模型都是错的吗？
Heiko Enderling,Olaf Wolkenhauer
Heiko Enderling