Strength of spatial correlation between gray matter connectivity and patterns of proto-oncogene and neural network construction gene expression is associated with diffuse glioma survival.

Introduction: Like other forms of neuropathology, gliomas appear to spread along neural pathways. Accordingly, our group and others have previously shown that brain network connectivity is highly predictive of glioma survival. In this study, we aimed to examine the molecular mechanisms of this relationship via imaging transcriptomics. Methods: We retrospectively obtained presurgical, T1-weighted MRI datasets from 669 adult patients, newly diagnosed with diffuse glioma. We measured brain connectivity using gray matter networks and coregistered these data with a transcriptomic brain atlas to determine the spatial co-localization between brain connectivity and expression patterns for 14 proto-oncogenes and 3 neural network construction genes. Results: We found that all 17 genes were significantly co-localized with brain connectivity (p < 0.03, corrected). The strength of co-localization was highly predictive of overall survival in a cross-validated Cox Proportional Hazards model (mean area under the curve, AUC = 0.68 +/- 0.01) and significantly (p < 0.001) more so for a random forest survival model (mean AUC = 0.97 +/- 0.06). Bayesian network analysis demonstrated direct and indirect causal relationships among gene-brain co-localizations and survival. Gene ontology analysis showed that metabolic processes were overexpressed when spatial co-localization between brain connectivity and gene transcription was highest (p < 0.001). Drug-gene interaction analysis identified 84 potential candidate therapies based on our findings. Discussion: Our findings provide novel insights regarding how gene-brain connectivity interactions may affect glioma survival.

ONC201 (Dordaviprone) in Recurrent H3 K27M-Mutant Diffuse Midline Glioma.

PURPOSE: Histone 3 (H3) K27M-mutant diffuse midline glioma (DMG) has a dismal prognosis with no established effective therapy beyond radiation. This integrated analysis evaluated single-agent ONC201 (dordaviprone), a first-in-class imipridone, in recurrent H3 K27M-mutant DMG. METHODS: Fifty patients (pediatric, n = 4; adult, n = 46) with recurrent H3 K27M-mutant DMG who received oral ONC201 monotherapy in four clinical trials or one expanded access protocol were included. Eligible patients had measurable disease by Response Assessment in Neuro-Oncology (RANO) high-grade glioma (HGG) criteria and performance score (PS) ≥60 and were ≥90 days from radiation; pontine and spinal tumors were ineligible. The primary end point was overall response rate (ORR) by RANO-HGG criteria. Secondary end points included duration of response (DOR), time to response (TTR), corticosteroid response, PS response, and ORR by RANO low-grade glioma (LGG) criteria. Radiographic end points were assessed by dual-reader, blinded independent central review. RESULTS: The ORR (RANO-HGG) was 20.0% (95% CI, 10.0 to 33.7). The median TTR was 8.3 months (range, 1.9-15.9); the median DOR was 11.2 months (95% CI, 3.8 to not reached). The ORR by combined RANO-HGG/LGG criteria was 30.0% (95% CI, 17.9 to 44.6). A ≥50% corticosteroid dose reduction occurred in 7 of 15 evaluable patients (46.7% [95% CI, 21.3 to 73.4]); PS improvement occurred in 6 of 34 evaluable patients (20.6% [95% CI, 8.7 to 37.9]). Grade 3 treatment-related treatment-emergent adverse events (TR-TEAEs) occurred in 20.0% of patients; the most common was fatigue (n = 5; 10%); no grade 4 TR-TEAEs, deaths, or discontinuations occurred. CONCLUSION: ONC201 monotherapy was well tolerated and exhibited durable and clinically meaningful efficacy in recurrent H3 K27M-mutant DMG.

Characterization of patients with brain metastases referred to palliative care.

PURPOSE: In this study, we aimed to assess the clinical characteristics, reasons for referral, and outcomes of patients with brain metastases (BM) referred to the supportive care center. METHODS: Equal numbers of patients with melanoma, breast cancer, and lung cancer with (N = 90) and without (N = 90) BM were retrospectively identified from the supportive care database for study. Descriptive statistics were used to analyze demographic, disease, and clinical data. Kaplan Meier method was used to evaluate survival outcomes. RESULTS: While physical symptom management was the most common reason for referral to supportive care for both patients with and without BM, patients with BM had significantly lower pain scores on ESAS at time of referral (p = 0.002). They had greater interaction with acute care in the last weeks of life, with higher rates of ICU admission, emergency room visits, and hospitalizations after initial supportive care (SC) visit. The median survival time from referral to Supportive Care Center (SCC) was 0.90 years (95% CI 0.73, 1.40) for the brain metastasis group and 1.29 years (95% CI 0.91, 2.29) for the group without BM. CONCLUSIONS: Patients with BM have shorter survival and greater interaction with acute care in the last weeks of life. This population also has distinct symptom burdens from patients without BM. Strategies to optimize integration of SC for patients with BM warrant ongoing study.

Strength of spatial correlation between structural brain network connectivity and brain-wide patterns of proto-oncogene and neural network construction gene expression is associated with diffuse glioma survival.

Like other forms of neuropathology, gliomas appear to spread along neural pathways. Accordingly, our group and others have previously shown that brain network connectivity is highly predictive of glioma survival. In this study, we aimed to examine the molecular mechanisms of this relationship via imaging transcriptomics. We retrospectively obtained presurgical, T1-weighted MRI datasets from 669 adult patients, newly diagnosed with diffuse glioma. We measured brain connectivity using gray matter networks and coregistered these data with a transcriptomic brain atlas to determine the spatial co-localization between brain connectivity and expression patterns for 14 proto-oncogenes and 3 neural network construction genes. We found that all 17 genes were significantly co-localized with brain connectivity (p < 0.03, corrected). The strength of co-localization was highly predictive of overall survival in a cross-validated Cox Proportional Hazards model (mean area under the curve, AUC = 0.68 +/- 0.01) and significantly (p < 0.001) more so for a random forest survival model (mean AUC = 0.97 +/- 0.06). Bayesian network analysis demonstrated direct and indirect causal relationships among gene-brain co-localizations and survival. Gene ontology analysis showed that metabolic processes were overexpressed when spatial co-localization between brain connectivity and gene transcription was highest (p < 0.001). Drug-gene interaction analysis identified 84 potential candidate therapies based on our findings. Our findings provide novel insights regarding how gene-brain connectivity interactions may affect glioma survival.

Clinical Efficacy of ONC201 in H3K27M-Mutant Diffuse Midline Gliomas Is Driven by Disruption of Integrated Metabolic and Epigenetic Pathways.

Patients with H3K27M-mutant diffuse midline glioma (DMG) have no proven effective therapies. ONC201 has recently demonstrated efficacy in these patients, but the mechanism behind this finding remains unknown. We assessed clinical outcomes, tumor sequencing, and tissue/cerebrospinal fluid (CSF) correlate samples from patients treated in two completed multisite clinical studies. Patients treated with ONC201 following initial radiation but prior to recurrence demonstrated a median overall survival of 21.7 months, whereas those treated after recurrence had a median overall survival of 9.3 months. Radiographic response was associated with increased expression of key tricarboxylic acid cycle-related genes in baseline tumor sequencing. ONC201 treatment increased 2-hydroxyglutarate levels in cultured H3K27M-DMG cells and patient CSF samples. This corresponded with increases in repressive H3K27me3 in vitro and in human tumors accompanied by epigenetic downregulation of cell cycle regulation and neuroglial differentiation genes. Overall, ONC201 demonstrates efficacy in H3K27M-DMG by disrupting integrated metabolic and epigenetic pathways and reversing pathognomonic H3K27me3 reduction. SIGNIFICANCE: The clinical, radiographic, and molecular analyses included in this study demonstrate the efficacy of ONC201 in H3K27M-mutant DMG and support ONC201 as the first monotherapy to improve outcomes in H3K27M-mutant DMG beyond radiation. Mechanistically, ONC201 disrupts integrated metabolic and epigenetic pathways and reverses pathognomonic H3K27me3 reduction. This article is featured in Selected Articles from This Issue, p. 2293.

Neurologic Complications of Cancer Immunotherapy.

Immunotherapy has revolutionized cancer treatment over the past decade. As it is increasingly introduced into routine clinical practice, immune-related complications have become more frequent. Accurate diagnosis and treatment are essential, with the goal of reduced patient morbidity. This review aims to discuss the various clinical manifestations, diagnosis, treatments, and prognosis of neurologic complications associated with the use of immune checkpoint inhibitors, adoptive T-cell therapies, and T-cell redirecting therapies. We also outline a suggested clinical approach related to the clinical use of these agents.

Characterization of industry relationships in oncology.

BACKGROUND: Collaborative relationships between academic oncology and industry (pharmaceutical, biotechnology, "omic," and medical device companies) are essential for therapeutic development in oncology; however, limited research on engagement in and perceptions of these relationships has been done. METHODS: Survey questions were developed to evaluate relationships between academic oncology and industry. An electronic survey was delivered to 1000 randomly selected members of the American Society of Clinical Oncology, a professional organization for oncologists, eliciting respondents' views around oncology-industry collaborations. The responses were analyzed according to prespecified plans. RESULTS: There were 225 survey respondents. Most were from the United States (70.0%), worked at an academic institution (60.1%), worked in medical oncology (81.2%), and had an active relationship with industry (85.8%). One quarter (26.7%) of respondents reported difficulty establishing a relationship with industry collaborators, and most respondents (75%) did not report having had mentorship in developing these relationships. The majority (85.3%) of respondents considered these collaborations important to their careers. Respondents generally thought that scientific integrity was preserved (92%), and most respondents (95%) had little concern over the quality of the collaborative product. Many (60%) shared concerns over potential conflict of interest if an individual with a compensated relationship promoted an industry product for clinical care/research, yet most respondents (67%) stated these relationships did not shape their interactions with patients. CONCLUSIONS: This study provides novel data characterizing the nature of collaborative relationships between clinicians, researchers, and industry in oncology. Although respondents considered these collaborations an important part of clinical and academic oncology, formal education or mentorship around these relationships was rare. Conflicting findings around conflict of interest highlight the importance of more dedicated research in this area. PLAIN LANGUAGE SUMMARY: Business enterprises in health care play a central role in cancer research and care, driving the development of new medical testing, drugs, and devices. Effective working relationships among clinicians, researchers, and these industry partners can promote innovative research and enhance patient care. Study of these collaborations has been limited to date. Through distribution of a questionnaire to cancer clinicians and researchers, we found that most participants consider these relationships valuable, though they find establishing such relationships challenging partly because of gaps in educational programs in this area. Our findings also highlight the need for further policy around the potential bias these relationships can introduce.

Characterization of recurrence patterns and outcomes of medulloblastoma in adults: The University of Texas MD Anderson Cancer Center experience.

Background: Medulloblastoma in adults is rare and treatment decisions are largely driven from pediatric literature. We sought to characterize recurrent medulloblastoma in adults. Methods: From a single-institution dataset of 200 adult patients diagnosed with medulloblastoma during 1978-2017, those with recurrence were analyzed for clinical features, treatment, and outcome. Results: Of the 200 patients, 82 (41%) with median age of 29 years (18-59) had recurrence after a median follow-up time of 8.4 years (95% CI = 7.1, 10.3). Of these, 30 (37%) were standard-risk, 31 (38%) were high-risk, and 21 (26%) had unknown-risk diseases at the time of initial diagnosis. Forty-eight (58%) presented with recurrence outside the posterior fossa, of whom 35 (43%) had distant recurrence only. Median Progression-free survival (PFS) and OS from initial surgery were 33.5 and 62.4 months, respectively. Neither PFS nor OS from initial diagnosis differed between the standard-risk and high-risk groups in those who experience recurrence (P = .505 and .463, respectively). Median OS from first recurrence was 20.3 months, also with no difference between the standard-risk and high-risk groups (P = .518). Recurrences were treated with combinations of re-resection (20 patients; 25%), systemic chemotherapy (61 patients; 76%), radiation (29 patients; 36%), stem cell transplant (6 patients; 8%), and intrathecal chemotherapy (4 patients; 5%). Patients who received radiation at recurrence had better OS (32.9 months) than those who did not (19.2 months) (P = .034). Conclusions: Recurrent medulloblastoma in adults has a poor prognosis irrespective of initial risk stratification. Recurrence commonly arises outside the posterior fossa years after initial diagnosis.

Predicting overall survival in diffuse glioma from the presurgical connectome.

Diffuse gliomas are incurable brain tumors, yet there is significant heterogeneity in patient survival. Advanced computational techniques such as radiomics show potential for presurgical prediction of survival and other outcomes from neuroimaging. However, these techniques ignore non-lesioned brain features that could be essential for improving prediction accuracy. Gray matter covariance network (connectome) features were retrospectively identified from the T1-weighted MRIs of 305 adult patients diagnosed with diffuse glioma. These features were entered into a Cox proportional hazards model to predict overall survival with 10-folds cross-validation. The mean time-dependent area under the curve (AUC) of the connectome model was compared with the mean AUCs of clinical and radiomic models using a pairwise t-test with Bonferroni correction. One clinical model included only features that are known presurgery (clinical) and another included an advantaged set of features that are not typically known presurgery (clinical +). The median survival time for all patients was 134.2 months. The connectome model (AUC 0.88 ± 0.01) demonstrated superior performance (P < 0.001, corrected) compared to the clinical (AUC 0.61 ± 0.02), clinical + (AUC 0.79 ± 0.01) and radiomic models (AUC 0.75 ± 0.02). These findings indicate that the connectome is a feasible and reliable early biomarker for predicting survival in patients with diffuse glioma. Connectome and other whole-brain models could be valuable tools for precision medicine by informing patient risk stratification and treatment decision-making.

A first-in-human Phase I trial of the oral p-STAT3 inhibitor WP1066 in patients with recurrent malignant glioma.

Aim: To ascertain the maximum tolerated dose (MTD)/maximum feasible dose (MFD) of WP1066 and p-STAT3 target engagement within recurrent glioblastoma (GBM) patients. Patients & methods: In a first-in-human open-label, single-center, single-arm 3 + 3 design Phase I clinical trial, eight patients were treated with WP1066 until disease progression or unacceptable toxicities. Results: In the absence of significant toxicity, the MFD was identified to be 8 mg/kg. The most common adverse event was grade 1 nausea and diarrhea in 50% of patients. No treatment-related deaths occurred; 6 of 8 patients died from disease progression and one was lost to follow-up. Of 8 patients with radiographic follow-up, all had progressive disease. The longest response duration exceeded 3.25 months. The median progression-free survival (PFS) time was 2.3 months (95% CI: 1.7 months-NA months), and 6-month PFS (PFS6) rate was 0%. The median overall survival (OS) rate was 25 months (95% CI: 22.5 months-NA months), with an estimated 1-year OS rate of 100%. Pharmacokinetic (PK) data demonstrated that at 8 mg/kg, the T1/2 was 2-3 h with a dose dependent increase in the Cmax. Immune monitoring of the peripheral blood demonstrated that there was p-STAT3 suppression starting at a dose of 1 mg/kg. Conclusion: Immune analyses indicated that WP1066 inhibited systemic immune p-STAT3. WP1066 had an MFD identified at 8 mg/kg which is the target allometric dose based on prior preclinical modeling in combination with radiation therapy and a Phase II study is being planned for newly diagnosed MGMT promoter unmethylated glioblastoma patients.

Assessing Student Readiness to Work with People Who Use Drugs: Development of a Multi-disciplinary Addiction Educational Survey.

BACKGROUND: As health profession schools implement addiction curricula, they need survey instruments to evaluate the impact of the educational interventions. However, existing measures do not use current non-stigmatizing language and fail to capture core concepts. OBJECTIVE: To develop a brief measure of health profession student readiness to work with people who use drugs (PWUDs) and establish its content validity. METHODS: We conducted a literature review of existing instruments and desired clinical competencies related to providing care to PWUD and used results and expert feedback to create and revise a pool of 72 items. We conducted cognitive interviews with ten pre-clinical health profession students from various US schools of nursing, pharmacy, and medicine to ensure the items were easy to understand. Finally, we used a modified Delphi process with twenty-four health professions educators and addiction experts (eight each from nursing, pharmacy, and medicine) to select items for inclusion in the final scale. We analyzed expert ratings of individual items and interdisciplinary agreement on ratings to decide how to prioritize items. We ultimately selected 12 attitudes and 12 confidence items to include in the REadiness to Discuss Use, Common Effects, and HArm Reduction Measure (REDUCE-HARM). Experts rated their overall assessment of the final scale. RESULTS: Twenty-two of twenty-four experts agreed or strongly agreed that the attitudes scale measures student attitudes that impact readiness to work with PWUDs. Twenty-three of twenty-four experts agreed or strongly agreed that the confidence scale measures student self-efficacy in competencies that impact readiness to work with PWUDs. Seven of 72 initial items and none of the 24 selected items had statistically significant differences between disciplines. CONCLUSIONS: The REDUCE-HARM instrument has strong content validity and may serve as a useful tool in evaluating addiction education. Additional research is needed to establish its reliability, construct validity, and responsiveness to change.

Aggressiveness of care at end of life in patients with high-grade glioma.

BACKGROUND: Patients with high-grade glioma (HGG) face unique challenges toward the end of life (EoL), given their aggressive trajectory and neurologic deterioration. Aggressiveness of medical care at EoL has been identified as an important quality metric for oncology patients. At this time, limited data exist around the nature of EoL care of patients with HGG. METHODS: Patients with HGG and palliative care (PC) referral seen between 2010 and 2015 were identified (N = 80). Of these, N = 52 met inclusion criteria. Random selections of patients with (1) HGG not referred to PC (n = 80), and (2) non-CNS cancers with PC referral (n = 80) were identified for comparison. A composite score of aggressiveness of medical care at EoL was calculated for each patient from predetermined variables. A time of eligibility for PC was defined for each patient when predetermined criteria based on symptom burden, functional status, and prognosis were met. RESULTS: Among the patients analyzed with HGG referred to PC, 59.6% (N = 31) were referred as inpatients, and 53.8% (N = 28) were referred within the last 12 weeks of life. Patients with HGG had similar aggressiveness of care at EoL regardless of PC referral, and HGG patients had less aggressive care at EoL than patients with non-CNS cancers (p = 0.007). Care was more aggressive at EoL in HGG patients who received late versus early PC referrals (p = 0.012). Motor weakness at time of eligibility (OR = 2.55, p = 0.002) and more disease progressions (OR = 1.25, p = 0.043) were associated with less aggressive care at EoL. CONCLUSIONS: Early clinical- and disease-related features predict the aggressiveness of medical care at EoL in patients with HGG. Formal PC consultation is used infrequently and suboptimally in patients with HGG. Our data suggest that the role of PC in improving EoL outcomes in HGG warrants further evaluation.

Neurocognitive Impairment After Hematopoietic Stem Cell Transplant for Hematologic Malignancies: Phenotype and Mechanisms.

Hematopoietic stem cell transplant (HSCT) plays a central role in the treatment of hematologic cancers. With the increasing survival of patients after HSCT, survivorship issues experienced by this population have become an important outcome. Cognitive impairment is an established sequela of HSCT, with studies to date establishing its presence, associated risk factors, and clinical phenotype. There are multiple potential contributors to cognitive impairment after HSCT. Efforts are ongoing to further characterize its clinical phenotype, associated biomarkers, and biologic underpinnings. A fundamental knowledge of post-HSCT cognitive impairment is of value for all clinicians who interface with this population, and further academic efforts are needed to more fully understand the impact of this cancer treatment on brain health. IMPLICATIONS FOR PRACTICE: As survival outcomes after hematopoietic stem cell transplant (HSCT) improve, an awareness of the post-treatment challenges faced by this population has become central to its care. HSCT can have a sustained and broad impact on brain health, causing cognitive dysfunction, fatigue, disturbed mood, and sleep. In affected patients, autonomy, return to work, relationships, and quality of life may all be affected. A fundamental fluency in this area is important for clinicians interfacing with HSCT survivors, facilitating the identification and management of cognitive dysfunction and concurrent symptom clusters, and stimulating interest in these sequelae as areas for future clinical research.

SNO and EANO practice guideline update: Anticonvulsant prophylaxis in patients with newly diagnosed brain tumors.

OBJECTIVE: To update the 2000 American Academy of Neurology (AAN) practice parameter on anticonvulsant prophylaxis in patients with newly diagnosed brain tumors. METHODS: Following the 2017 AAN methodologies, a systematic literature review utilizing PubMed, EMBASE Library, Cochrane, and Web of Science databases was performed. The studies were rated based on the AAN therapeutic or causation classification of evidence (class I-IV). RESULTS: Thirty-seven articles were selected for final analysis. There were limited high-level, class I studies and mostly class II and III studies. The AAN affirmed the value of these guidelines. RECOMMENDATIONS: In patients with newly diagnosed brain tumors who have not had a seizure, clinicians should not prescribe antiepileptic drugs (AEDs) to reduce the risk of seizures (level A). In brain tumor patients undergoing surgery, there is insufficient evidence to recommend prescribing AEDs to reduce the risk of seizures in the peri- or postoperative period (level C). There is insufficient evidence to support prescribing valproic acid or levetiracetam with the intent to prolong progression-free or overall survival (level C). Physicians may consider the use of levetiracetam over older AEDs to reduce side effects (level C). There is insufficient evidence to support using tumor location, histology, grade, molecular/imaging features when deciding whether or not to prescribe prophylactic AEDs (level U).

The association of genetic polymorphisms with neuroconnectivity in breast cancer patients.

Genetic polymorphisms in select genes, including APOE (apolipoprotein E), COMT (Catechol-O-Methyltransferase), MDR1 (multi-drug resistance 1), BDNF (brain derived neurotrophic factor), and GST (glutathione-S-transferase), have been associated with vulnerability to cognitive impairment. In this study, we evaluated the relationship of these genetic variants to measures of brain health in patients with breast cancer, including neurocognitive testing and functional connectome analysis. Women with breast cancer (n = 83) and female healthy controls (n = 53) were evaluated. They underwent resting-state functional MRI scans and neurocognitive testing. Polymerase chain reaction (PCR) was performed on saliva samples to identify single nucleotide polymorphisms (SNPs) in candidate genes: APOE, COMT, MDR1, BDNF, and GST. Breast cancer patients treated with chemotherapy had slower processing speed (p = 0.04) and poorer reported executive function (p < 0.0001) than healthy controls. Those chemotherapy-treated patients that were APOE e4 carriers had significantly slower processing speed. A greater number of risk-related alleles was associated with poorer connectivity in the regions of the left cuneus and left calcarine. While breast cancer patients that are APOE e4 carriers may have a select vulnerability to processing speed impairments, other risk-related alleles were not found to influence cognitive test performance in this population. Conversely, regions of impaired functional connectivity appeared to be related to risk-related genetic polymorphisms in breast cancer patients. This suggests that a cancer patient's SNPs in candidate genes may influence the risk of neurotoxicity. Further study evaluating the impact of genotype on biomarkers of brain health in cancer survivors is warranted.

Patterns of care for pediatric patients with newly-diagnosed grade II gliomas.

PURPOSE: We describe large-scale demographic, initial treatment, and outcomes data for pediatric grade II gliomas included in the National Cancer Database from 2004 to 2014. METHODS: Our cohort included cases less than 21 years of age with pathology-confirmed disease. Logistic regressions were used to evaluate the use of chemotherapy (CT) and radiation therapy (RT). Overall survival (OS) rates were determined using Kaplan-Meier estimates and the log-rank test. RESULTS: We identified 803 cases with astrocytoma (56.2%), oligodendroglioma (26.0%), and mixed glioma/glioma NOS (17.8%) histologies. Most cases underwent surgical resection (n = 661). Whereas cases 16 to 21 years of age were more likely than cases 0 to 5 years to receive RT (OR = 7.38, 95% CI 3.58-15.21, p < 0.001), they were less likely to receive CT (OR = 0.34, 95% CI 0.22-0.52, p < 0.001). The 5-year OS rates for all cases, cases that underwent surgical resection, and cases managed with biopsy were 87.5%, 92.7%, and 63.6%, respectively. CONCLUSION: In one of the largest series of pediatric grade II gliomas, astrocytoma was the most common histology. Patterns of care and OS outcomes were similar to grade I gliomas, with surgical resection being the most common initial treatment and associated with a favorable rate of OS. Younger patients were more likely to receive post-operative CT and the use of RT increased with age.

Neurologic Toxicities of Immunotherapy.

Immunotherapy has revolutionized treatment of cancer over the past two decades. The antitumor effects of immunotherapy approaches are at the expense of growing spectrum of immune-related adverse events (irAEs) due to cross-reactivity between the tumor and normal host tissue. These adverse events can happen in any organ and range from mild to severe and even life-threatening conditions. While neurological irAEs associated with immune checkpoint inhibitors (CPIs) are rare, they pose a significant challenge in management as the clinical phenotypes are heterogenous and frequently necessitate cessation of therapy and systemic immune suppression and lead to transient functional decline. On the other hand, immune effector cell-associated neurotoxicity (ICANS) is common, frequently occurs in conjunction with cytokine release syndrome (CRS), and poses a significant clinical challenge to the development and widespread use of these effective therapies. Early recognition of these neurological syndromes, timely diagnosis, and thoughtful management are key for further clinical development of these effective therapies in cancer patients. Here, we describe clinical phenotypes of CPI-induced neurological complications and ICANS and discuss steps in clinical monitoring, diagnosis, and effective management.

Neurologic Toxicities of Cancer Immunotherapies: a Review.

PURPOSE OF REVIEW: This review provides clinical characterization and approach to management of neurotoxicities associated with checkpoint inhibitor therapy and chimeric antigen receptor T cell (CAR T cell) therapy. RECENT FINDINGS: Immuno-oncology has revolutionized cancer treatment. The immunomodulatory effect of these treatments extends beyond the targeted cancers; however, with a range of immune-mediated toxicities being associated with these therapies. Both the peripheral and central nervous system are vulnerable to these toxicities, with several distinct clinical syndromes strongly associated with specific immunotherapies. Neurologic immune-related adverse events are significant sequelae of both checkpoint inhibitors and CAR T cell therapy. In addition to clinical characterization of these syndromes, an understanding of the biologic underpinnings of these sequelae is essential. This will facilitate identification of patients at risk of these toxicities, develop treatments to prevent them and identify more effective clinical treatment when they occur.