Cancer vaccine strategies for the treatment of diffusely infiltrating gliomas.

Diffusely infiltrating gliomas - including glioblastoma (GBM), isocitrate dehydrogenase (IDH) mutant gliomas, and histone 3 (H3) altered gliomas - are primary brain tumors with an invariably fatal outcome. Despite advances in the understanding of their biology, standard, targeted and immune checkpoint inhibitor immunotherapies have proven ineffective in arresting their inexorable progression and associated morbidity and mortality. Recognizing the unique aspects of the immunogenicity of cancer cells, the last decade has seen the development and evaluation of vaccine-based therapies for the treatment of solid tumors, including gliomas. Here we review the current vaccine strategies for the treatment of GBM, IDH-mutant gliomas and diffuse midline glioma H3 K27M-altered. We discuss potential benefits and challenges of vaccine therapies in these specific patient populations.

Advances in Chimeric Antigen Receptor (CAR) T-Cell Therapies for the Treatment of Primary Brain Tumors.

Immunotherapy has revolutionized the care of cancer patients. A diverse set of strategies to overcome cancer immunosuppression and enhance the tumor-directed immune response are in clinical use, but have not achieved transformative benefits for brain tumor patients. Adoptive cell therapies, which employ a patient's own immune cells to generate directed anti-tumor activity, are emerging technologies that hold promise to improve the treatment of primary brain tumors in children and adults. Here, we review recent advances in chimeric antigen receptor (CAR) T-cell therapies for the treatment of aggressive primary brain tumors, including glioblastoma and diffuse midline glioma, H3 K27M-mutant. We highlight current approaches, discuss encouraging investigational data, and describe key challenges in the development and implementation of these types of therapies in the neuro-oncology setting.

Glioblastoma with Gliomatosis Cerebri Growth Pattern Presenting as Rapidly Progressive Dementia.

The differential diagnosis of rapidly progressive dementia includes neurodegenerative, toxic/metabolic, infectious, inflammatory, vascular, and malignant etiologies. This case highlights a patient with rapidly progressive cognitive decline that remained a diagnostic dilemma due to nonspecific symptoms of disorientation that progressed to persistent alteration in mental status over the span of three months. Routine laboratory testing did not help clarify the diagnosis and initial brain imaging showed only subtle abnormalities that were not commensurate with the patient's neurologic examination. As imaging findings evolved over time to reveal a multifocal process, a biopsy was pursued, with histology consistent with infiltrating glioma and molecular testing consistent with glioblastoma. Glioblastoma with gliomatosis cerebri growth pattern should be considered on the differential diagnosis of rapidly progressive dementia in patients with multifocal imaging findings.

Evaluation and management of chimeric antigen receptor (CAR) T-cell-associated neurotoxicity.

Adoptive cell therapies are a group of cancer immunotherapies that involve the infusion of engineered immune cells targeting specific tumor antigens, with chimeric antigen receptor (CAR) T cells at the vanguard of this revolution in cancer therapy. Several CAR T-cell products have been approved for the treatment of leukemia and lymphoma and many more are currently undergoing evaluation in clinical trials for the treatment of other liquid and solid malignancies. Despite their remarkable effectiveness, as with other immunotherapies, CAR T cells are frequently associated with systemic and neurologic toxicity. There has been a major effort by many institutions to develop specific protocols to guide the management of treatment-associated toxicities (eg, cytokine release syndrome [CRS]). However, neurotoxic effects of CAR T-cell therapies are more difficult to evaluate and treat, not easily lending themselves to an algorithmic approach to diagnosis and management. Given the steadily expanding use of CAR T-cell therapies for various malignancies, it is of critical importance for neuro-oncologists to be familiar with the clinical presentation and management principles of CAR T-cell-associated neurotoxicity. Here, we present key principles for the evaluation and management of patients affected by CAR T-cell-associated neurotoxicity based on the most recent evidence.

Environmental consistency determines the rate of motor adaptation.

BACKGROUND: The motor system has the remarkable ability not only to learn but also to learn how fast it should learn. However, the mechanisms behind this ability are not well understood. Previous studies have posited that the rate of adaptation in a given environment is determined by Bayesian sensorimotor integration based on the amount of variability in the state of the environment. However, experimental results have failed to support several predictions of this theory. RESULTS: We show that the rate at which the motor system adapts to changes in the environment is primarily determined not by the degree to which environmental change occurs but by the degree to which the changes that do occur persist from one movement to the next, i.e., the consistency of the environment. We demonstrate a striking double dissociation whereby feedback response strength is predicted by environmental variability rather than consistency, whereas adaptation rate is predicted by environmental consistency rather than variability. We proceed to elucidate the role of stimulus repetition in speeding up adaptation and find that repetition can greatly potentiate the effect of consistency, although unlike consistency, repetition alone does not increase adaptation rate. By leveraging this understanding, we demonstrate that the rate of motor adaptation can be modulated over a range that encompasses a 20-fold increase from lowest to highest. CONCLUSIONS: Understanding the mechanisms that determine the rate of motor adaptation could lead to the principled design of improved procedures for motor training and rehabilitation. Regimens designed to control environmental consistency and repetition during training might yield faster, more robust motor learning.

Temporal structure of motor variability is dynamically regulated and predicts motor learning ability.

Individual differences in motor learning ability are widely acknowledged, yet little is known about the factors that underlie them. Here we explore whether movement-to-movement variability in motor output, a ubiquitous if often unwanted characteristic of motor performance, predicts motor learning ability. Surprisingly, we found that higher levels of task-relevant motor variability predicted faster learning both across individuals and across tasks in two different paradigms, one relying on reward-based learning to shape specific arm movement trajectories and the other relying on error-based learning to adapt movements in novel physical environments. We proceeded to show that training can reshape the temporal structure of motor variability, aligning it with the trained task to improve learning. These results provide experimental support for the importance of action exploration, a key idea from reinforcement learning theory, showing that motor variability facilitates motor learning in humans and that our nervous systems actively regulate it to improve learning.

The binding of learning to action in motor adaptation.

In motor tasks, errors between planned and actual movements generally result in adaptive changes which reduce the occurrence of similar errors in the future. It has commonly been assumed that the motor adaptation arising from an error occurring on a particular movement is specifically associated with the motion that was planned. Here we show that this is not the case. Instead, we demonstrate the binding of the adaptation arising from an error on a particular trial to the motion experienced on that same trial. The formation of this association means that future movements planned to resemble the motion experienced on a given trial benefit maximally from the adaptation arising from it. This reflects the idea that actual rather than planned motions are assigned 'credit' for motor errors because, in a computational sense, the maximal adaptive response would be associated with the condition credited with the error. We studied this process by examining the patterns of generalization associated with motor adaptation to novel dynamic environments during reaching arm movements in humans. We found that these patterns consistently matched those predicted by adaptation associated with the actual rather than the planned motion, with maximal generalization observed where actual motions were clustered. We followed up these findings by showing that a novel training procedure designed to leverage this newfound understanding of the binding of learning to action, can improve adaptation rates by greater than 50%. Our results provide a mechanistic framework for understanding the effects of partial assistance and error augmentation during neurologic rehabilitation, and they suggest ways to optimize their use.