Citations

Adult gliomas are aggressive brain tumours associated with low patient survival rates and limited life expectancy. The most important hallmark of this type of tumour is its invasive behaviour, characterized by a markedly phenotypic plasticity, infiltrative tumour morphologies and the ability of malignant progression from low- to high-grade tumour types. Indeed, the widespread infiltration of healthy brain tissue by glioma cells is largely responsible for poor prognosis and the difficulty of finding curative therapies. Meanwhile, mathematical models have been established to analyse potential mechanisms of glioma invasion. In this review, we start with a brief introduction to current biological knowledge about glioma invasion, and then critically review and highlight future challenges for mathematical models of glioma invasion.

The Institute of Medicine and US Food and Drug Administration (FDA) recognize that activating clinical trials in the United States is lengthy and inefficient. Downstream consequences include increased expense, suboptimal accrual, move of clinical trials overseas, and delayed availability of treatments for patients. An in‐tandem processing initiative is here highlighted that transformed the activation of clinical trials (TACT), reduced the activation time by 70%, and offers a paradigm for enhanced translational readiness.

Abstract Patient-derived tumor xenograft (PDX) mouse models have emerged as an important oncology research platform to study tumor evolution, mechanisms of drug response and resistance, and tailoring chemotherapeutic approaches for individual patients. The lack of robust standards for reporting on PDX models has hampered the ability of researchers to find relevant PDX models and associated data. Here we present the PDX models minimal information standard (PDX-MI) for reporting on the generation, quality assurance, and use of PDX models. PDX-MI defines the minimal information for describing the clinical attributes of a patient's tumor, the processes of implantation and passaging of tumors in a host mouse strain, quality assurance methods, and the use of PDX models in cancer research. Adherence to PDX-MI standards will facilitate accurate search results for oncology models and their associated data across distributed repository databases and promote reproducibility in research studies using these models. Cancer Res; 77(21); e62–66. ©2017 AACR.

Archival data were used to examine the feasibility of a 5-day, clinic-based, intensive exposure–based cognitive-behavioral group therapy for childhood anxiety disorders (CADs) and obsessive-compulsive disorder (OCD). Participants were 143 children (82 girls) aged 6 to 19 years ( M = 13.93 years, SD = 2.9 years) with CADs or OCD (or both) in 28 consecutive groups. Repeated-measures ANOVA in the subsample ( n = 57) with complete treatment data indicated positive change on all variables from pretreatment to posttreatment with few differences between CADs and OCD patients. Effect sizes were moderate to large for anxiety symptoms (parent reported = 0.74, child reported = 0.65) and impairment (parent reported = 1.02, child reported = 0.69). The intensive group protocol required fewer sessions and 36% fewer therapist-hours per patient than the individually administered protocol. The program increased treatment availability for families from diverse geographic areas ( M distance traveled to clinic = 407 miles, SD = 786.4 miles). These findings support further, well-controlled examination of the 5-day intensive group treatment protocol’s efficacy and potential to increase availability of evidence-based exposure therapy.