Search

Background and ObjectivesFinancial toxicity significantly affects many patients, especially cancer survivors. We evaluated the association of unemployment as a major contributor to financial toxicity with patient-reported outcomes (PROs) assessing multiple illness experience domains in a primary CNS tumor (PCNST) cohort.MethodsPatient and disease characteristics and PROs measuring symptom burden, interference, psychologic distress, functional impairment, and health-related quality of life (HRQOL) from participants enrolled in an institutional review board–approved observational study at the US NIH's Neuro-Oncology Branch were collected between September 2016 and December 2019. Descriptive statistics, tests of association, and comparison of group mean values were used to describe and evaluate PROs.ResultsOf the 277 participants diagnosed with a PCNST, 57% were male and 43% were female. Participants reported their race as White, non-Hispanic (78%); White, Hispanic/Latino (9%); Asian (7%); Black (4%); Native Hawaiian/Pacific Islander (1%); and other (2%) with 8% missing. The median age of the overall cohort was 45 years (range 18–74). Hispanic participants in the overall sample were 2.3 times more likely, and in the brain tumor group 3.2 times more likely, to report unemployment (p= 0.043, odds ratio [OR] 2.3, 95% CI 1.0–5.4 andp= 0.008, OR 3.2, 95% CI 1.3–7.9, respectively). 77 (28%) individuals unemployed due to tumor reported more functional impairment with walking, washing, dressing, and performing usual activities and reduced HRQOL (p< 0.001). More unemployed participants in the total sample reported moderate-to-severe depressive symptoms (25%) than those employed (8%) (χ2(1) = 13.9,p< 0.001, OR 3.7, 95% CI 1.8–7.8) and more moderate-to-severe anxiety symptoms (30%) than those employed (15%) (χ2(1) = 7.8,p= 0.005, OR 2.4, 95% CI 1.3–4.5). Unemployed participants with brain tumor reported on average 3 more symptoms as moderate-to-severe compared with those employed (t(83) = −4.0, 95% CIdifference−5 to −2,p< 0.001, Hedgeg= 0.70).DiscussionBeing unemployed due to a PCNST strongly correlated with high symptom burden, functional impairment, psychological distress, and reduced HRQOL, which may be impediments to returning to work that warrant intervention. Lack of employer-based health insurance and reduced earnings are financial sequelae of unemployment superimposed on the physical, social, and cognitive effects of living with a PCNST. Innovations to screen for and address financial toxicity and its contributing factors are needed.

INTRODUCTION: Despite an increasing aging population, older adults (≥ 65 years) with primary brain tumors (PBTs) are not routinely assessed for geriatric vulnerabilities. Recent reports of geriatric assessment (GA) in patients with glioblastomas demonstrated that GA may serve as a sensitive prognosticator of overall survival. Yet, current practice does not include routine evaluation of geriatric vulnerabilities and the relevance of GA has not been previously evaluated in broader cohorts of PBT patients. The objective of this descriptive study was to assess key GA constructs in adults with PBT dichotomized into older versus younger groups. MATERIALS AND METHODS: A cross-sectional analysis of data collected from 579 participants with PBT recruited between 2016 and 2020, dichotomized into older (≥ 65 years, n = 92) and younger (≤ 64 years, n = 487) from an ongoing observational trial. GA constructs were evaluated using socio-demographic characteristics, Charlson Comorbidity Index (CCI), polypharmacy (>5 daily medications), Karnofsky Performance Status (KPS), Neurologic Function Score (NFS), and patient-reported outcome assessments including general health, functional status, symptom burden and interference, and mood. Descriptive statistics, t-tests, chi-square tests, and Pearson correlations were used to evaluate differences between age groups. RESULTS: Older participants were more likely to have problems with mobility (58% vs. 44%), usual activities (64% vs 50%) and self-care (38% vs 26%) compared to the younger participants (odds ratios [ORs] = 1.3–1.4, ps

Purpose Cancer patients experience distress and anxiety when undergoing imaging studies to monitor disease status, yet these symptoms are not always appropriately identified or well-managed. This interim analysis of a phase 2 clinical trial explored feasibility and acceptability of a virtual reality relaxation (VR) intervention for primary brain tumor (PBT) patients at the time of clinical evaluation. Methods English speaking, adult PBT patients with previous reports of distress and upcoming neuroimaging were recruited between March of 2021 and March 2022. A brief VR session was done within 2 weeks prior to neuroimaging with patient-reported outcomes (PROs) collected before and immediately post-intervention. Self-directed VR use over the next 1 month was encouraged with additional PROs assessments at 1 and 4 weeks. Feasibility metrics included enrollment, eligibility, attrition, and device-related adverse effects with satisfaction measured with qualitative phone interviews. Results Fifty-five patients were approached via email, 40 (73%) responded and 20 (50%) enrolled (9 declines, 11 screen fails). 65% of participants were ≤ 50 years, 50% were male, 90% were White/non-Hispanic, 85% had good KPS (≥ 90), and most were on active treatment. All patients completed the VR intervention, PROs questionnaires, weekly check-ins, and qualitative interview. Most (90%) reported frequent VR use and high satisfaction and only 7 mild AEs were recorded (headache, dizziness, nausea, neck pain). Conclusion This interim analysis supports feasibility and acceptability of a novel VR intervention to target psychological symptoms for PBT patients. Trial enrollment will continue to assess for intervention efficacy. Trial Registration NCT04301089 registered on 3/9/2020.

BackgroundPrecision health approaches to managing symptom burden in primary brain tumor (PBT) patients are imperative to improving patient outcomes and quality of life, but require tackling the complexity and heterogeneity of the symptom experience. Network Analysis (NA) can identify complex symptom co-severity patterns, and unsupervised clustering can unbiasedly stratify patients into clinically relevant subgroups based on symptom patterns. We combined these approaches in a novel study seeking to understand PBT patients’ clinical and demographic determinants of symptom burden.MethodsMDASI-BT symptom severity data from a two-institutional cohort of 1128 PBT patients were analyzed. Gaussian Graphical Model networks were constructed for the all-patient cohort and subgroups identified by unsupervised clustering based on co-severity patterns. Network characteristics were analyzed and compared using permutation-based statistical tests.ResultsNA of the all-patient cohort revealed 4 core dimensions that drive the overall symptom burden of PBT patients: Cognitive, physical, focal neurologic, and affective. Fatigue/drowsiness was identified as pivotal to the symptom experience based on the network characteristics. Unsupervised clustering discovered 4 patient subgroups: PC1 (n = 683), PC2 (n = 244), PC3 (n = 92), and PC4 (n = 109). Moderately accurate networks could be constructed for PC1 and PC2. The PC1 patients had the highest interference scores among the subgroups and their network resembled the all-patient network. The PC2 patients were older and their symptom burden was driven by cognitive symptoms.ConclusionsIn the future, the proposed framework might be able to prioritize symptoms for targeting individual patients, informing more personalized symptom management.

BACKGROUND PBT patients experience high levels of distress and anxiety symptoms at the time of neuroimaging, yet few non-pharmacological interventions are available. This phase 2 clinical trial interim analysis explored feasibility of a VR relaxation intervention for a PBT population. METHODS PBT patients seen at NIH were recruited to participate in this single arm trial conducted via telehealth. English-speaking, adult patients with upcoming neuroimaging who can self-report symptoms and have reported distress on previous MD Anderson Symptom Inventory-Brain Tumor assessments were eligible. Exclusion criteria include recent surgery or seizures, anxiety disorders, nausea, or visual deficits. The primary intervention consisted of a brief VR session done within 2 weeks prior to neuroimaging with patient-reported outcomes (PROs) collected before and immediately post-intervention, as well as 1 week and 4 weeks later, with self-directed VR use over 1 month. A qualitative phone interview was also completed to assess patient satisfaction. RESULTS Fifty-five patients were screened and approached with 40 (73%) responding to initial reach-out and 20 ultimately enrolling (9 declines, 11 screen fails). Decline reasons included: no distress/anxiety (30%), treatment-related toxicities (11%), and unknown (59%). Seven (64%) failed screening due to exclusionary anxiety disorders (36% GAD, 18% PTSD, 9% claustrophobia). Of those enrolled, 65% were ≤ 50 years, 50% were male, 90% were White/non-Hispanic, 85% had good KPS ( > 80), 65% had high-grade tumors, and most were on active treatment. All enrolled patients completed the VR intervention and participation period, PROs questionnaires, weekly check-ins, and qualitative interview. Most patients (90%) reported frequent VR use with 7 mild adverse effects reported (headache, dizziness, nausea, neck pain). CONCLUSION These findings suggest that this intervention is feasible for this population with high enrollment and study completion, though incidence of anxiety disorders was higher than anticipated and a comprehensive evaluation of this cohort is planned.

Glioblastoma (GBM) has a median survival of less than 18 months with infrequent long-term survival (LTS). Reports on LTS to date have not identified distinct molecular or clinical/imaging characteristic in long ( >3 years) versus short (< 3 year) survivors. We identified IDH wildtype GBM patients living ≥ 3 years post diagnosis (LTS, Nf25) and a control cohort (STS, Nf76) from our Natural History Study. Available tissue was analyzed with targeted panel sequencing (Nf25) and methylation analysis (Nf21) for classification, MGMT promoter (MGMTp) status and copy number changes. Median survival and age for LTS and STS was 54mo and 48yrs, and 16mo and 56yrs, respectively. LTS were more likely to be female (2.8x) or have a GTR (2.9x) but 83% less likely to be white. MGMTp was 10x more likely to be methylated in LTS tumors (95% CI [2.6, 39.6]), yet was unmethylated in 17%. LTS were 63% and 90% less likely to have TERTp or EGFR amplification (95% CI [0.14, 0.97] and [0.04, 0.29]). Core pathway review showed 21% of LTS had at least one alteration in p53, RB and RTK/PI3K with RTK/PI3K the most common (46%) . Methylation classifier identified 74% as GBM (STS=96%) with most the RTK II subtype (53%; STS=41%) and despite classic histologic features, indicated a non-GBM diagnosis in three cases (14%).Although uncommon, there are LTS with molecularly confirmed GBM. Remarkably, not all had MGMTp methylation, were young or had extensive tumor resection. Clinical estimates of outcome in GBM patients should consider the possibility of long-term survival even with established poor prognostic factors. Imaging characteristics in a subset of these cases are reported in a separate abstract. Additional interrogation of tumor from LTS may uncover additional determinants of response and outcomes.

Sleep-wake disturbances are among the most common and severe symptoms in primary brain tumor (PBT) patients. Currently, no studies have quantified their physiological sleep measurements or compared these assessments to established patient reported outcome measures (PROs). Smart wearable devices, such as Fitbits, continuously monitor patient behaviors at home and provide detailed physiological measurements of sleep, activity, and heart rate. We hypothesized that smart wearable devices can accurately determine physiological sleep disturbances and circadian disruptions and will complement established PROs in a PBT patient population. This observational, cross-sectional trial monitors sleep and circadian rhythm variables using Fitbit smart wearable devices worn for 1 month. Additionally, participants will answer PROs questionnaires (PROMIS Sleep Disturbance and Sleep Related Impairment-Short Forms, Sleep Hygiene Index, Morningness-Eveningness questionnaire, and Consensus Sleep Diary) at study entry and during the last week on-study. The present study is a planned interim analysis of 54 patients to assess feasibility, including evaluation of enrollment, attrition, study parameter completion and data missingness. 73 PBT patients were screened and approached. Of these patients, 54 (74%) were enrolled on study and 19 (26%) declined participation (8 lacked interest, 3 discomfort wearing watches, 3 lacked smart phone, 2 unable to wear device at work, 2 unable to attend consent calls, 1 pregnancy and 1 cognitive complication). The accrued patients were 56% male, 56%³ 50 years of age, and 81% had a KPS³ 90. Patients represented different stages of treatment: 6% of patients were newly diagnosed, 24% on active treatment (11% 1st recurrence, 13% 2nd recurrence), and 70% were on imaging surveillance. Feasibility was confirmed as there were no deviations reported and 100% of PROs and study timepoints completed. Quantified Fitbit data including percent time worn and physiologic sleep parameters will be reported. Study enrollment for efficacy measures continues.

BACKGROUND Precision health approaches to managing symptom burden in primary brain tumor (PBT) patients are imperative to improving patient outcomes and quality of life. Network Analysis (NA) identifies complex symptom co-severity patterns across large patient cohorts. Unsupervised clustering unbiasedly stratifies patients into clinically relevant subgroups based on symptom patterns. This is the first study to use NA and unsupervised clustering to explore PBT patients’ clinical and demographic determinants of symptom burden. METHODS Symptom severity data reported using the MDASI-BT from a two-institutional cohort of 1,128 PBT patients was analyzed. Gaussian Graphical Model networks were constructed for the entire cohort and for subgroups identified by unsupervised clustering. Network characteristics were analyzed and compared using permutation-based statistical tests. RESULTS NA on the entire cohort revealed that the majority of PBT patients experience symptoms on four core dimensions that drive overall symptom burden: cognitive, physical, focal neurologic, and affective. These dimensions substantially overlap with factor groupings defined during initial construct validation of the MDASI-BT. Fatigue/drowsiness scored the highest in all network centrality measures, indicating a pivotal role in the symptom experience. Unsupervised clustering identified four patient subgroups: PC1 (n = 683), PC2 (n = 244), PC3 (n = 92), and PC4 (n = 109). Moderately accurate networks could be constructed for PC1 and PC2, but not for PC3 and PC4 due to their small size. The PC1 network closely resembles the all-patient network, and these patients have the highest interference scores among the subgroups with fatigue/drowsiness as the primary driver. PC2 represents an older subgroup in which cognitive symptoms drive symptom burden. CONCLUSIONS This novel study identified clinically relevant subgroups of patients with unique symptom burdens. With further validation, our approach may inform more personalized and effective symptom management by identifying symptoms to prioritize for targeting in individual patients.

Glioblastoma (GBM) is the most aggressive primary brain malignancy with < 45% living a year beyond diagnosis which drops to 7% at five years. However, there have been reports of long-term survivors (LTS) living three to ten years beyond diagnosis. Few studies have reported on molecular factors in tumors from LTS cohorts. We identified GBM (IDH1/2 wildtype) patients living at least 3 years post diagnosis (N=25), including 16 with pre-treatment tumor tissue, from our Natural History Study. Available pre- or post-treatment tumors were analyzed with targeted panel sequencing and methylation analysis for classification, MGMT promoter status and copy number changes. Classical clinical prognostic features such as limited resection or older age did not preclude long-term survival as patients with tumor biopsy (n=1) or subtotal resection (n= 5) and patients > 60 were included in the LTS cohort. Furthermore, tumors with molecular features typically associated with poor prognosis were also in this GBM LTS group. MGMT promoter was unmethylated in 17% of tumors; EGFRvIII mutation in 13%, EGFR amplification in 33%, CDKN2A homozygous loss in 30% and complete chromosome 7 gain with 10 loss in 55%. Additionally, the methylation classifier found a higher-than-expected incidence of mesenchymal tumors (29%) and RTK II (57%). Tumors had a higher percent of TP53 mutations (44%) but lower pTERT (76%) compared to TCGA. These data suggest an individual patient’s prognosis cannot easily be predetermined based on classical clinical and molecular data. This underscores the need for further analyses to discover additional factors leading to their unexpected, prolonged survival and elucidate the role of factors typically associated with poor prognosis. Future work will include RNA-sequencing and germline whole genome sequencing to determine tumor specific gene expression and identify any possible genomic alterations that confer improved survival.

SIGNIFICANCE AND AIMS Financial toxicity (FT) after a cancer diagnosis is the consequence of decreased earnings and increased spending. In patients with primary central nervous system (PCNS) tumors, the correlation between FT and factors such as symptom burden, psychological distress, and health-related quality of life has not been extensively studied. We assessed employment status and several patient illness factors in a PCNS tumor cohort. METHODS Patient and disease characteristics and patient-reported outcomes (PROs) were collected from adults diagnosed with PCNS tumors between 9/2016-12/2019. Descriptive statistics and regression analyses were used to describe PROs. RESULTS Of 277 patients, 77 (28%) reported being unemployed due to tumor diagnosis. They reported difficulty walking (64%) and performing usual activities (64%). This group had lower general health status (p< 0.001) and higher tumor-related symptom severity (p=0.004) than employed patients. Unemployed patients reported high symptom burden with an average of 6 moderate-severe symptoms for those with brain tumors and 10 for those with spine tumors. Both brain and spine tumor patients who were unemployed reported increased mood-related interference (p=0.020), as well as moderate-severe anxiety (30%) and depression (25%) compared to employed patients (15% vs 8%, respectively). Unemployed brain tumor patients reported worse scores in cognitive and neurologic symptom subscales (p< 0.001). CONCLUSIONS AND IMPLICATIONS These data provide indirect evidence that financial toxicity that correlates with high symptom burden across several domains and lower health-related quality of life. Future research work will include the COST questionnaire to further evaluate the implications of FT in the PCNS tumor patient population.

INTRODUCTION Standard and experimental therapies for patients with rare CNS tumors are scarce. Nivolumab (PD-1 inhibitor) is approved for several non-CNS cancers. This ongoing Phase II trial (NCT03173950) will determine the efficacy of nivolumab in adults with recurrence/progression of one of 11 selected rare primary CNS tumors. Efficacy is measured by Disease Control Rate (DCR; confirmed CR/PR or durable SD for ≥ 6 months) in 2 cohorts: heavily and non-heavily pretreated patients (heavily pretreated: ≥ 3 prior therapies; non-heavily pretreated: ≤ 2). We report efficacy and safety results of a preplanned interim analysis in the heavily pretreated cohort. METHODS Eligibility includes recurrence/progression of an eligible tumor; age ≥ 18 years; tumor tissue available for histopathology, molecular and immune profiling; KPS ≥ 70; and no steroids at study entry. A total of 150 evaluable patients will be enrolled (75 to each cohort). Prior therapies include radiation and/or standard or investigational drugs. Nivolumab treatment is 240 mg IV every 2 weeks (4 doses); then 480 mg every 4 weeks (14 additional doses). Interim analysis was planned when sample size reached 32 in each cohort. RESULTS As of March 10, 2021, DCR exceeded the minimum required for interim analysis in the heavily pretreated cohort. Among 30 patients, 4 achieved SD > 6 months (medulloblastoma, anaplastic ependymoma, myxopapillary ependymoma, metastatic atypical meningioma). Safety profile (related AEs): grade 3 = 7; grade 4 = 1. Most frequent grade 3-5 AEs regardless of attribution: tumor progression (6); anemia, hydrocephalus, lymphopenia (3 each); cerebral edema, headache (2 each). CONCLUSION DCR exceeded the “go” boundary (i.e., > 2) in the heavily pretreated cohort. Nivolumab showed safety profile consistent with other studies. This cohort will continue to stage 2 and complete total accrual of 75 patients. The trial is currently being expanded to 10 additional sites across the BTTC/NCI-CONNECT consortium.

BACKGROUND Seizures are a common symptom in patients with CNS tumors. The RANO-Seizure Control Composite Index (RANO-SCCI) was developed to monitor seizures over time by patients and clinicians. We describe the use of the RANO-SCCI as part of the NCI NOB-Natural History Study. METHODS Patients completed a RANO-SCCI prior to their clinic appointment with results shared with clinicians who then completed a RANO-SCCI as part of the same appointment. Seizure reports were tallied by respondent type and further by tumor type and grade. Concordance between patient and clinician report was also investigated. RESULTS One hundred fifty-seven patients underwent 250 clinical evaluations. Participants were primarily white (82%) males (57%) with median age 47 years (range: 19 – 78). Most had high grade (60%) primary brain (86%) tumors, were in surveillance (76%), with no prior recurrence (57%) and KPS ≥ 90 (76%). Half of patients and 62% of clinicians reported the patient ever having a seizure. The 12% discordance were all where the patient did not report a seizure, but clinicians did. There was good agreement on seizure reporting since last visit (74% patients, 78% clinicians), and anti-seizure medication use (51% patients, 57% clinicians). Seizures were reported more frequently in patients with high-grade tumors (WHO Grade 3 or 4) (60% patients, 76% clinicians) versus low-grade (WHO Grade 1 or 2) (51% patients, 59% clinicians), and among patients with oligodendrogliomas (71% patients, 85% clinicians) versus non-oligodendroglioma tumors (54% patients, 68% clinicians). CONCLUSIONS The RANO-SCCI was used for self-report and clinician report of seizure activity. A higher frequency was reported among oligodendroglioma and high-grade tumors. Disparities between patient and clinician responses may reveal a limitation in the patient’s ability to recognize and assess their seizure symptoms. Further work will investigate reporting congruence and associations with clinical and demographic characteristics.

BACKGROUND Mild cognitive impairment (MCI) commonly occurs in primary CNS tumor patients (PCTP). Our group and others have reported on the Montreal Cognitive Assessment (MoCA) as an MCI screening tool. Several abbreviated MoCA protocols have been developed for telehealth administration in other neurological diseases, with varied literature on scoring and clinical utility. We compared MoCA Full and 5-minute scores to assess utility in neuro-oncology. METHODS 71 PCTP completed the MoCA Full (abnormal: < 26/30) assessing: visuospatial/executive functioning, naming, memory, attention, language, abstraction, delayed recall, and orientation. Full scores were retrospectively recoded to the Pendlebury MoCA 5-minute protocol (abnormal: < 10/12) assessing: memory, delayed recall, and orientation. Correlation was assessed using Pearson’s coefficient. Disagreements between tests were examined using t-test and chi-square test. RESULTS Patients were primarily White (83%), college-educated (71%) males (54%) diagnosed with glioblastoma (20%), with average age of 43 years (range: 19-75), KPS > 80 (57%), prior radiation treatment (78%), and imaging surveillance at time of testing (79%). MoCA Full and 5-minute mean scores were 25.3 (SD: 4.8) and 9.9 (SD: 2.3), respectively. MCI was indicated in 32% (n= 23) of patients using MoCA Full and 27% (n= 19) using MoCA 5-minute. Where the protocols disagreed, MCI was detected only by MoCA Full in 6 patients (8%), and MoCA 5-minute in 2 patients (3%). Visuospatial/executive (p= 0.025) and abstraction (p< 0.001) subdomain scores, unique to MoCA Full, were significantly associated with MCI detected only by the MoCA Full; other subdomains, patient characteristics, and total score were not significant. The MoCA versions were highly correlated (r= 0.90). CONCLUSION High correlation and agreement between MoCA Full and 5-minute scores in this neuro-oncology patient population highlight potential telehealth utility of the MoCA 5-minute. Future prospective assessment of the MoCA 5-minute is warranted to describe optimal scoring threshold and utility in neuro-oncology.

BACKGROUND The median overall survival of patients with glioblastoma (GBM) is 10-12 months and the five-year survival ranges from 5-10%. Favorable clinical and molecular prognostic markers have been described in the literature, although an individual patient’s prognosis cannot easily be predetermined on these features as shown in the NOB-LTS project by Briceno et al. (SNO 2021). Until now, no radiologic characteristics have been correlated with better patient outcomes. We reviewed eighteen MRI features to determine if these could aid the identification of long-term survivors (LTS). METHODS From the NOB-LTS cohort of our Natural History Study, 16 long-term survivals (LTS; ≥ 3 years survival post-diagnosis) were matched based on sex, age, and extent of resection to 32 control (STS, < 3 years survival post-diagnosis) patients with NGS-confirmed IDH-wt glioblastoma. Pre-surgical MRIs (T1, T1 post-contrast, T2, T2/FLAIR, DWI, ADC) were reviewed by three blinded reviewers and analyzed based on pre-set criteria. RESULTS T1 hypointensity occurred commonly in the LTS (71%) vs STS (29%) while central heterogeneous signal occurred commonly in the STS (73%) vs LTS (50%) patients. Restricted diffusion was seen in 82% of STS and 70% of LTS cases. No difference was seen in irregular enhancement, peripheral and grey matter enhancement on T1 post-contrast images. Evaluation of T2/FLAIR images showed no difference in the number of lobes involved, presence of mass effect, heterogeneity of the signal or the perilesional signal abnormality or involvement of grey matter. CONCLUSION Our results suggest that pre-surgical MRI might be a useful prognostic tool as T1 hypointensity more frequently, and T1 central heterogeneity less commonly seen in the LTS group. These imaging findings may provide additional insights regarding the differences in tumor biology between LTS and STS. Further validation and correlation with histological/molecular characteristics are planned to better predict patient outcomes with newly diagnosed glioblastoma.

Immune checkpoint inhibition (ICI) has failed to demonstrate significant efficacy in glioblastoma. With the underlying hypothesis that generation of an immune response in peripheral is necessary for a brain tumor response, we are enrolling patients with newly diagnosed glioblastoma on an ICI immunotherapy clinical trial with longitudinal monitoring of immune function. The purpose of this work is to improve patient selectivity for response to ICI treatment by identifying peripheral immunologic response via immunophenotyping and functional analyses. Currently, 10 of a planned 48 patients have been treated with combination nivolumab and ipilimumab (NCI-21-C-0015). We analyzed blood samples of the first two patients, from pretreatment through cycle 5 of combination ICI to confirm methods used in this clinical trial. Longitudinal evaluation of immunologic response using comprehensive flow cytometric analysis and an in vitro T cell stimulation paradigm with nivolumab and ipilimumab supplementation, serving as an ex vivo predictor of immune response, are reported. Immunophenotyping via flow cytometry successfully documented patients’ peripheral immune cell phenotypes, and ELISpot and in vitro stimulation assays successfully measured patients’ immune cell functional capacitance. Both patients analyzed have shown increased proportions of effector/memory phenotypes within peripheral T cells, and a decrease in peripheral lymphocyte/monocyte ratio during treatment, potentially indicating lymphocyte sequestration in bone marrow or recruitment to the tumor microenvironment. ELISpot analysis documented interferon-γ production capability of T cell is maintained during treatment. Moreover, preliminary analysis of patients’ T cell proliferative capacity in PBMC utilizing in vitro anti-CD3 stimulation indicated T cells become increased in proliferative capability during treatment. These findings support the feasibility of longitudinal assessments, demonstrating that immunologic responsiveness and functionality can be detected with these blood monitoring strategies. Additional patients’ samples will be tested to allow confirmation of trends in immunologic response, and correlations with patient outcomes will be reported at time of presentation.

Recognizing the importance of clinical outcomes assessments (COA), the RANO-PRO Working Group recommends inclusion of core symptoms/functions in clinical care/research for malignant glioma patients. This study evaluated the association between the recommended symptoms (pain, perceived cognition, seizures, aphasia, treatment-specific symptoms) and functions (physical: weakness, walking; and role/social: work, usual activities) and disease progression in these patients. MDASI-Brain Tumor and EQ-5D-3L scores, Karnofsky Performance Status (KPS), and Neurologic Function Score (NFS) were evaluated in relation to disease progression by chi-square tests, independent- and paired-samples t-tests, adjusted for multiple comparisons. Our sample included 336 patients with malignant glioma; 82% white, 64% male, median age=52 (21-79). Imaging study revealed disease progression for 46% of patients. All symptoms except seizures and difficulty concentrating were worse in the group whose imaging showed disease progression versus stable disease, as well as the functions of walking, work, activity, and self-care (0.8 < difference < 1.8). Patients with disease progression were 4 times more likely to have a poor KPS (≤ 80) and worse NFS. Among patients with disease progression (n=112), all symptoms, except seizures, worsened from first assessment to time of progression. Up to 22% of patients reported worsening mobility, self-care, and usual activity; 46% and 35% had worsened KPS and NFS, respectively. Seven symptoms and functions were each individually reported by at least 10% of patients as having worsened the most. Worsening of symptoms and functions was not observed among patients with stable disease, except in difficulty understanding. Identified core symptoms/functions worsen at the time of progression demonstrating the relationship between priority constructs and a traditional tumor response measure while highlighting the importance of longitudinal collection of COA. The pattern of worsening was observed via both patient- and clinician-reported outcomes, emphasizing the utility of COA in clinical care and clinical trials.

CNS tumor patients are highly symptomatic causing interference with activity and worse quality of life. Social distancing due to the COVID-19 pandemic increased demands on the patient, caregivers, clinicians, and the health care system. The NCI’s Neuro-Oncology Branch Natural History Study (NHS) systematically collected patient-reported outcomes (PROs) provide insight into how these challenges influenced symptom burden and interference during the COVID year. METHODS: Patient and disease characteristic as well as patient-reported symptoms and interference (MDASI-BT/-SP) and general health status (EQ-5D-3L) from 3/2020-2/2021) were compared to NHS normative sample collected prior to 3/2020. RESULTS: The sample (n = 178) was primarily White (82%), male (55%), median age of 45 (range 18 – 79) and KPS ³ 90 (51%). The majority had high-grade (70%) brain (83%) tumors (BT) with ≥ 1 prior recurrence (60%) and 25% were on active treatment. Clinical visits were primarily conducted via telehealth (64%) and 20% of all patients were diagnosed with progression at the time of assessment. Most commonly reported moderate-severe symptoms among BT patients were fatigue (30%), difficulty remembering (28%), feeling drowsy (22%). Among spinal cord tumor patients, fatigue (39%), pain (35%) and numbness/tingling in arms/legs/trunk (35%) were most frequently reported. These symptoms were reported in similar frequencies by the normative sample. Nearly half of the COVID year sample (48%) reported moderate-severe activity-related interference. Reported problems with mobility (38%), self-care (19%), pain/discomfort (40%), and usual activities (50%) were similar in both groups except for increased mood disturbance (53%) was reported during the COVID year. CONCLUSION: These findings support CNS tumor patients remained highly symptomatic with significant impact on health-related quality of life during the COVID year. Clinicians should develop timely individual care plans to help BT patients navigate their disease course. Evaluation of risk associated with more severe symptoms and functional limitations are ongoing.

Gliomatosis cerebri (GC) is a controversial entity no longer recognized as a histopathologic-defined diagnosis, characterized by diffuse, commonly bilateral infiltration of cerebral hemispheres. The purpose of this report is to describe clinical, imaging, patient-reported outcomes (PRO’s) and pathologic characteristics of clinically-defined cases from a large natural history study cohort (N=769). Of 19 patients, 10 male, 16 white, mean age at diagnosis 43 (19-70), seventeen presented as primary GC, while 2 developed GC after treatment. Ten patients were IDH-WT, 7 IDH-M, and 2 IDH undetermined. The majority (7/10) IDH-WT patients presented acutely (5 with seizures), whereas, 3 had a protracted presentation of 2 weeks-3months with 6/10 having enhancing tumors and 8/10 undergoing biopsy only. On histopathologic review, 4 were anaplastic astrocytoma (AA), 3 GBMs, 2 grade II astrocytoma, and 1 histone-mutated glioma. Nearly all (9/10) IDH-WT patients received radiation with concurrent and adjuvant temozolomide. 7/10 IDH-WT patients had a survival of only 1.5yrs or less from diagnosis. Of the 7 IDH-M patients, 4 had protracted presentations of 1 month-5 years. 6/7 had non-enhancing tumors at presentation. 4 had biopsy only and 3 underwent partial resection. 3 were AA, 2 grade II astrocytoma, 1 grade II oligodendroglioma, and 1 grade IV astrocytoma. 3/7 received radiation with concurrent and adjuvant temozolomide, 3/7 chemotherapy alone, and 1 RT alone. All 7 IDH-M patients survived 3+ years from diagnosis (range 3-10+ yrs). Both patients who developed GC later, were IDH-M, with prolonged survival (3.5yrs and the other still alive 10+yrs). PRO's at time of last clinical assessment revealed GC patients to be highly symptomatic with mean overall symptom burden, depression, and anxiety higher than our overall glioma population. GC patients have a varied clinical course mandating further investigation to enable better prognostic definition to refine treatments based on the varying clinical and molecular characteristics.

BACKGROUND Primary CNS tumors are associated with uncertainty likely contributing to mood disturbance that is common throughout the disease trajectory. The intersection of the COVID-19 pandemic with a CNS tumor diagnosis may further impact the anxiety/depression experienced in this population. This study assessed key anxiety/depression symptoms in patients with CNS tumors prior to and during the COVID year. METHODS Patient reported outcomes (PROs), including the PROMIS Anxiety and Depression Short Forms and EQ-5D-3L, were collected at the time of clinical or telehealth evaluation from the COVID year (March 2020-February 2021) and were compared to assessments through February 2020 (a NOB-normative sample), reflecting what we would typically see in our regular clinic evaluations. RESULTS The COVID sample (N = 178) was primarily White (82%), male (55%), median age of 45 (range 18–79), and KPS ³ 90 (50%). The majority had high grade (70%) brain (83%) tumors with ³ 1 prior recurrence (60%) and 25% were on active treatment. Visits were primarily conducted via telehealth (64%) and 20% had progression at assessment. Compared to the NOB-normative sample, patients reported significantly higher depression scores (moderate-severe, 17% vs. 12%, p < 0.05), but not anxiety (18% vs. 16%). Eleven percent reported both moderate-severe anxiety and depressive symptoms (8% pre-COVID). Overall health assessed by the EQ-5D-3L was similar to the normative sample in all dimensions, apart from impact of moderate/extreme mood disturbance, which was more prevalent in the COVID year (53% vs. 43%, p < 0.05%). CONCLUSION Patients with CNS tumors are at risk for significant symptoms of depression and anxiety; this risk was heightened during the COVID year. Further evaluation of clinical factors associated with risk are underway. These findings highlight the need for assessments and interventions that can be administered via telehealth to address the mental health needs of this vulnerable population. Radiobiology

SIGNIFICANCE AND AIMS Past research in PBT patients has demonstrated that minorities may have a survival advantage compared to Whites for high-grade tumors, though little is known about their illness experience given their underrepresentation in clinical trials. This study explored differences in PROs across race-ethnicity within a large PBT cohort describing associated burden and risk for minority populations where data is scarce. METHODS Demographic, clinical characteristics, MDASI-Brain Tumor, PROMIS Depression and Anxiety Short-Forms, and Neuro-QoL Cognitive Function were collected from the most recent timepoint for PBT patients enrolled on the Natural History Study. Descriptive statistics, one-way ANOVA, and linear regression were used to report results. RESULTS The sample included 562 PBT patients (58% male, median age = 50 [18-85]) comprised of 79% White, 6% African American (AA), 10% Hispanic, and 5% Asian patients per self-report. Most patients had a high-grade glioma (60%), with 28% on active treatment and 44% with good KPS (90-100). Among the most commonly reported moderate-severe symptoms were fatigue ( > 40% in all groups), difficulty remembering (30-40% of Asians, AAs, and Whites), and disturbed sleep (44% in Asians, 29% in Hispanics), while hemiparesis was common only for AA patients (37%). There were no differences between groups with respect to symptom burden and interference, mood disturbance, or cognitive function. Race/ethnicity group was not predictive of overall symptom burden or interference, but for all groups, higher KPS predicted lower symptom and interference scores (p < .001 and p = .004, respectively). CONCLUSION While some symptoms were common across ethnoracial groups, there were differences in symptom patterns, suggesting there may be other factors driving their illness experience. Future exploration of socioeconomic and cultural factors that might contribute to the symptom burden of minorities is warranted, which may allow development of targeted interventions to improve clinical outcomes in these groups.

Primary brain tumor (PBT) patients experience high symptom burden and functional limitations, which may be impacted by the economic strain and mood disturbance during the COVID-19 pandemic. We assessed financial toxicity and associated patient reported outcomes (PROs) after one year of lockdown in a cohort of PBT patients. Patient and disease characteristics and PROs including FACIT-COST, MDASI-Brain Tumor, PROMIS-Anxiety/Depression short forms, and EQ-5D-3L were collected from 7/2020 to 5/2021 from participants in our Natural History Study. Descriptive statistics, Pearson correlations, and independent samples t-tests evaluated PRO relationships. The cohort included 112 PBT patients: 57% male, 87% white, mean age = 47 (range 25 – 80). Majority were married (65%), completed ≥ 4-year college degree (73%), earned annual family income ≥ $50,000 (68%) and living with a high-grade glioma (72%) complicated by recurrence (51%). Using FACIT-COST, 56% reported some financial hardship due to illness with a mean FACIT-COST of 28.3 (SD = 11.3, range: 0 - 44). Half of patients reported feeling moderately to extremely anxious or depressed. Non-Whites and Hispanics as well as those not currently working reported worse financial toxicity compared to White non-Hispanics and individuals currently working (21.4 vs 29.8 and 25.7 vs 30.4, respectively). Worse financial toxicity scores strongly correlated with worse overall symptom burden (r = -0.55) and interference (r = -0.42), worse anxiety (r = -0.39) and depression scores (r = -0.44), and worse overall HRQOL scores (r = –0.33)[all p< .01]. This is the first report of FACIT-COST in PBT patients to our knowledge and demonstrates that non-White individuals living with high grade glioma who are not currently working due to their tumor reported worse financial toxicity which was strongly correlated with higher symptom burden and interference with lower HRQOL. Future studies to assess financial toxicity longitudinally and post-pandemic using the FACIT-COST are needed.

Cross-sectional studies indicate that patients with gliomas report significant depressive/anxiety symptoms and symptom-related interference with daily activities at diagnosis and throughout the illness trajectory. Our study aimed to explore relationships between these mood disturbances and symptom interference with respect to progressive disease (PD) in glioma patients. Demographic, clinical characteristics, MDASI-Brain Tumor (interference items), and PROMIS Anxiety and Depression Short-Forms were collected at the time of imaging surveillance, before discussing imaging results. Comparisons between patients with/without PD and respective change scores were calculated at study entry and at subsequent assessments. Independent t-tests, Chi-square tests, and paired sample t-tests were used to report results. The sample included 438 glioma patients (62% male, 84% Caucasian, 82% high-grade) with median age of 51 years (range 18-82); 42% had PD with 60% reporting past recurrence(s); 45% had poor Karnofsky Performance Status (KPS); and median time from diagnosis was 2 years (range: 0-30). On average, patients with PD on imaging at time of assessment reported significantly greater anxiety (p = 0.008), depression (p < 0.001), and symptom interference (p < 0.001) than those with stable disease. Additionally, more patients with PD reported moderate-severe anxiety (25%) and depression (22%) than patients with stable disease (15% and 12%, respectively). When evaluating change scores, patients with PD reported worse symptom interference (p < 0.001) but stable mood disturbance, while patients with stable disease reported improved depression (p = 0.018) and unchanged anxiety symptoms compared to baseline. Although mood disturbance is higher for patients with PD, some of these patients do not experience worsening, but rather a continuation of ongoing psychological symptoms, which may portend a worse illness trajectory. Identifying these patients early in this trajectory to evaluate potential biologic correlates between mood and prognosis is warranted to validate these findings.

Prior reports suggest the low prevalence of primary central nervous system (PCNS) tumors and the healthcare setting where patients seek care can contribute to diagnostic delays, potentially affecting prognosis. This descriptive report highlights findings from patient-reported data at presentation collected from a sample of 623 PCNS tumor patients. Participants were White (88%), males (56%), median age at diagnosis 41 (2-79) with high grade (HG) (66%) brain tumors (BT) (89%). Among BT patients, 30% reported ≥ 3 concurrent symptoms at presentation including headaches (40%), seizures (30%), and memory problems or difficulty with balance/walking (20% each). Over half (57%) had symptoms for < 6 months before diagnosis and 60% presented to the Emergency Room. Sixty-five percent of HG BT patients had symptoms for < 6 months prior to diagnosis compared to low grade (LG) tumors (40%) and had surgery in < 1 month from presentation (68% vs 51%, p < 0.01). More HG BT patients presented with weakness in the arms/legs than LG BT (14% vs 8%). Among spine tumor (ST) patients, 45% reported ≥ 3 concurrent symptoms at presentation including back pain (65%), sensory changes (45%), and weakness (40%). Almost half (46%) were symptomatic for > 1 year before diagnosis, presented in an outpatient clinic (64%) with 41% having surgery < 1 month from presentation. Younger (40% vs 16%) and HG ST patients (56% vs 21%) more often reported symptoms for < 6 months before diagnosis. HG ST patients more often presented to Emergency Rooms (67% vs 25%) and had surgery < 1 month from presentation (60% vs 36%). Further analysis of symptom presentation and clinical course is ongoing. Tumor location, grade, patient age and healthcare setting were associated with the time from clinical presentation to diagnosis. Development of aids providing guidance on diagnostic evaluation/treatment to front-line healthcare providers is warranted.

BACKGROUND The utility of geriatric assessment (GA) has been evaluated in older adults diagnosed with solid tumors other than primary brain tumors (PBT). We assessed several key GA domains in adults with PBT receiving tumor-directed treatment. METHODS Patient and disease characteristics and key GA domains within patient-reported outcomes (PROs) including symptom burden (MDASI-BT), Anxiety/ Depression (PROMIS-short forms) and general health status (EQ-5D-3L) were systematically and prospectively collected between 9/2016–8/2019 from adults diagnosed with PBT. Descriptive statistics and regression analyses were used to assess PROs. RESULTS Of 581 participants, 92 were 65 – 85 years old (median age = 70 years; “older”) and 489 were ≤ 64 years (median age = 46 years; “younger”). Tumor grade distribution in the older group was 74% WHO grade III/IV, 26% WHO grade I/II; tumor types included gliomas and meningiomas with no tissue diagnosis in 3 patients. Older patients were 49% less likely to receive chemotherapy and twice as likely to have KPS ≤ 80 (p=0.003, OR=0.51, OR=1.98). More older patients reported problems with mobility (57% vs 44%), self-care (38% vs 26%), and usual activities (64% vs 51%) than younger patients. Charlson Comorbidity Index mean scores were significantly higher in older patients (3.5 vs 0.6, p< 0.001). The top 3 most frequently reported moderate-to-severe symptoms were similar in older vs younger groups: fatigue (44% vs 41%), feeling drowsy (29% vs 30%) and difficulty remembering (28% vs 29%). Feeling distressed was the only symptom whose frequency differed between the age groups (11% older vs 27% younger, p=0.001). CONCLUSION Older PBT patients had lower performance status, more co-morbidities and increased functional impairments, affirming that GA is relevant. Symptom burden was similarly high in both age groups. These findings support conducting GA concurrently in future symptom intervention and therapeutic clinical trials for adults with PBT receiving tumor-directed treatment.

Karnofsky performance status (KPS) scale, a clinician-reported measure, is used to assess patients’ functional ability and as a metric for trial eligibility. Glioma patients often have a degree of neurologic deficit which can invariably affect performance status. There is little research comparing KPS, patient-reported cognitive outcomes, and objective cognitive outcomes. 273 primary brain tumor patients enrolled in the NOB Natural History Study were included in this report. We evaluated Pearson correlations between KPS (range 40-100), dichotomized as Good KPS (KPS ≥ 90) and Poor KPS (KPS ≤ 80), and MDASI-BT cognitive symptom factor, NeuroQoL Cognitive Function t-score, EQ-5D-3L index score, and objective MoCA test. The majority of patients were white (81%), male (58%) with a median 50 years of age (range 24-79). Most had high grade gliomas (74%), 22% were on active treatment, and 55% had prior tumor recurrences. Providers reported a poor KPS in 37% of patients. KPS correlated with the MDASI-BT cognitive symptoms (r = -0.32), NeuroQoL (r = 0.39), and EQ-5D-3L index score (r = 0.55) (all p < 0.01). Patients with poor KPS reported moderate-severe cognitive symptoms on the Neuro-QoL Cognitive Function (40%), moderate-severe difficulty remembering on the MDASI-BT (37%), and difficulty with usual activities on the EQ-5D-3L (83%). In a subset of 27 patients, MoCA scores were assessed but no significant correlation was found with KPS (r = 0.19, p = 0.352). Patient-reported and objective cognitive dysfunction was seen in up to 36% of those with good KPS. These data demonstrate that perceived cognitive testing is associated with poor KPS but may also occur in those with good performance status. The results underscore the need for alternative measures of cognitive functioning to further explore the impact in those with good KPS and the use of the MoCA in a larger sample.

Background The reversal agent sugammadex has been shown to be more efficacious at reversal from neuromuscular blockade (NMB) induced by the aminosteroid class of non-depolarizing muscle relaxants than the traditionally used medication neostigmine. However, whether these differences lead to significantly faster PACU discharge readiness remains unknown. Given the increased acquisition cost of sugammadex as compared to neostigmine we compared these two reversal agents in our surgical population to determine if its pharmacokinetic superiority warranted a change in current practice. Methods We conducted a single-center randomized patient and assessor blinded clinical trial. A total of 201 patients presenting for surgery requiring NMB with an estimated duration of ≤ 6 hours were included in the intention-to-treat (ITT) analysis. The primary outcome was time from reversal agent administration to PACU discharge readiness, measured by either the institutional discharge scoring tool or bedside clinical assessment by a PACU physician or advanced practice provider. Secondary outcomes included subjective assessment of recovery by the patient (pain, visual changes, speaking difficulty, swallowing difficulty, PONV, anxiety) and a simple strength assessment. Results Median time from reversal administration to PACU discharge readiness was 3.59 hours (IQR 2.49-5.09) in the neostigmine group and 3.62 hours (IQR 2.70-5.87) in the sugammadex group. Patients who received sugammadex had 8% longer reversal to PACU discharge times (exp(estimate) 1.08, 95% CI [0.87-1.34], p=0.499). Patients age 70 or older had 28% longer reversal to PACU discharge times (exp(estimate) of 1.28, 95% CI [0.91-1.80], P=0.158). In the a modified ITT analysis, sugammadex patients were estimated to be in PACU 13% longer than neostigmine arm patients (exp(estimate) 1.13, 95% CI [0.91-1.40], p=0.265) and patients older than or equal to 70 years 31% longer than patients less than 70 years old (exp(estimate) 1.31, 95% CI [0.93-1.84], p=0.121). Treatment arm was not associated with any of the secondary outcomes. Conclusion There was no significant difference in time to readiness to discharge from PACU, and there were no subjective or objective clinically relevant differences in recovery from neuromuscular blockade between the groups. Findings of this study support continued use of either agent at the anesthesiologist's discretion.

Rectal cancer patients' expectations of health and function may affect their disease- and treatment-related experience, but how patients form expectations of postsurgery function has received little study.We used a qualitative approach to explore patient expectations of outcomes related to bowel function after sphincter-preserving surgery for rectal cancer.This was a cohort study of patients who were about to undergo sphincter-preserving surgery for rectal cancer.The study was conducted through individual telephone interviews with participants.Twenty-six patients (14 men and 12 women) with clinical TNM stage I to III disease were enrolled.The semistructured interview script contained open-ended questions on patient expectations of postoperative bowel function and its perceived impact on daily function and life. Two researchers analyzed the interview transcripts for emergent themes using a grounded theory approach.Participant expectations of bowel function reflected 3 major themes: 1) information sources, 2) personal attitudes, and 3) expected outcomes. The expected outcomes theme contained references to specific symptoms and participants' descriptions of the certainty, importance, and imminence of expected outcomes. Despite multiple information sources and attempts at maintaining a positive personal attitude, participants expressed much uncertainty about their long-term bowel function. They were more focused on what they considered more important and imminent concerns about being cancer free and getting through surgery.This study was limited by context in terms of the timing of interviews (relative to the treatment course). The transferability to other contexts requires further study.Patient expectations of long-term functional outcomes cannot be considered outside of the overall context of the cancer experience and the relative importance and imminence of cancer- and treatment-related events. Recognizing the complexities of the expectation formation process offers opportunities to develop strategies to enhance patient education and appropriately manage expectations, attend to immediate and long-term concerns, and support patients through the treatment and recovery process.