Risk factors for glioblastoma are shared by other brain tumor types.

The reported risk factors for glioblastoma (GBM), i.e., ionizing radiation, Li-Fraumeni syndrome, Neurofibromatosis I, and Turcot syndrome, also increase the risk of other brain tumor types. Risk factors for human GBM are associated with different oncogenic mutation profiles. Pedigreed domestic dogs with a shorter nose and flatter face (brachycephalic dogs) display relatively high rates of glioma formation. The genetic profiles of canine gliomas are also idiosyncratic. The association of putatively different mutational patterns in humans and canines with GBM suggests that different oncogenic pathways can result in GBM formation. Strong epidemiological evidence for an association between exposure to chemical carcinogens and an increased risk for development of GBM is currently lacking. Ionizing radiation induces point mutations, frameshift mutations, double-strand breaks, and chromosomal insertions or deletions. Mutational profiles associated with chemical exposures overlap with the broad mutational patterns seen with ionizing radiation. Weak statistical associations between chemical exposures and GBM reported in epidemiology studies are biologically plausible. Molecular approaches comparing reproducible patterns seen in spontaneous GBM with analogous patterns found in GBMs resected from patients with known significant exposures to potentially carcinogenic chemicals can address difficulties presented by traditional exposure assessment.

Brain tumors in United States military veterans.

BACKGROUND: Comprehensive analysis of brain tumor incidence and survival in the Veteran population has been lacking. METHODS: Veteran data were obtained from the Veterans Health Administration (VHA) Medical Centers via VHA Corporate Data Warehouse. Brain tumor statistics on the overall US population were generated from the Central Brain Tumor Registry of the US data. Cases were individuals (≥18 years) with a primary brain tumor, diagnosed between 2004 and 2018. The average annual age-adjusted incidence rates (AAIR) and 95% confidence intervals were estimated per 100 000 population and Kaplan-Meier survival curves evaluated overall survival outcomes among Veterans. RESULTS: The Veteran population was primarily white (78%), male (93%), and between 60 and 64 years old (18%). Individuals with a primary brain tumor in the general US population were mainly female (59%) and between 18 and 49 years old (28%). The overall AAIR of primary brain tumors from 2004 to 2018 within the Veterans Affairs cancer registry was 11.6. Nonmalignant tumors were more common than malignant tumors (AAIR:7.19 vs 4.42). The most diagnosed tumors in Veterans were nonmalignant pituitary tumors (AAIR:2.96), nonmalignant meningioma (AAIR:2.62), and glioblastoma (AAIR:1.96). In the Veteran population, survival outcomes became worse with age and were lowest among individuals diagnosed with glioblastoma. CONCLUSIONS: Differences between Veteran and US populations can be broadly attributed to demographic composition differences of these groups. Prior to this, there have been no reports on national-level incidence rates and survival outcomes for Veterans. These data provide vital information that can drive efforts to understand disease burden and improve outcomes for individuals with primary brain tumors.

Association of Traumatic Brain Injury and Glioblastoma Multiforme: A Case Series.

Glioblastoma multiforme (GBM) is an aggressive variant of central nervous system gliomas that carries a dismal prognosis. Although GBM is the most frequently occurring and malignant type of glioma accounting for more than 60% of all brain tumors in adults, its overall incidence is rare, occurring at a rate of 3.21 per 100,000 persons. Little is known about the etiology of GBM, but one proposed theory is that GBM pathogenesis may be linked to a chronic inflammatory course initiated by traumatic injury to the brain. Limited case reports have suggested an association between GBMs and traumatic brain injury (TBI), but larger case-control and epidemiologic studies have been inconclusive. We present three service members (two active duty and one retired) who developed GBM near the original site of prior head trauma. Each service member's military occupation was in the special operations community and shared a common theme of TBI following head trauma/injury. The current research on the association between TBI and GBM is limited and conflicting, predominantly due to the low incidence of the disease in the general population. Evidence has indicated that TBI should be considered a chronic disease with long-term health impacts, including long-term disability, dementia, epilepsy, mental health conditions, and cardiovascular diseases. With the addition of our patients, as well as a recently published study proposing a molecular association between trauma and GBM, further research is needed to better understand the potential relationship.

County-level disparities in care for patients with glioblastoma.

OBJECTIVE: Racial and socioeconomic disparities in neuro-oncological care for patients with brain tumors remain underexplored. This study aimed to analyze county-level disparities in glioblastoma (GBM) care in the United States, focusing on access to surgery and the use of adjuvant temozolomide chemotherapy and radiation therapy. METHODS: Using repeated cross-sectional data from the Surveillance, Epidemiology, and End Results 17 database; the Area Health Resources File; and the American Community Survey, from 2010 to 2019, the authors performed multivariate regression analyses to understand the associations between county-level racial and socioeconomic characteristics, as well as the rates of surgery performed, delays in surgery, and use of adjuvant chemotherapy and radiation therapy for newly diagnosed GBM. RESULTS: In total, 29,609 GBM patients from 602 different US counties over a decade were included in this study. Counties with lower rates of surgery for GBM were associated with a higher percentage of Black residents (coefficient [CE] -0.001, 95% CI -0.002 to 0; p < 0.05) and being located in the Midwest (CE -0.132, 95% CI -0.195 to -0.069; p < 0.001) or West (CE -0.127, 95% CI -0.189 to -0.065; p < 0.001) relative to the Northeast. Counties with delayed surgical treatment were more likely to lack neurosurgeons (adjusted OR [aOR] 2.52, 95% CI 1.77-3.60; p < 0.001), have a higher percentage of Black residents (aOR 1.011, 95% CI 1.00-1.02; p < 0.05), and be located in the Midwest (aOR 3.042, 95% CI 1.12-8.24; p < 0.05) or West (aOR 3.175, 95% CI 1.12-8.97 p < 0.05). Counties with high rates of adjuvant radiation therapy were less likely to have higher percentages of Black residents (aOR 0.987, 95% CI 0.980-0.995; p < 0.01) and uninsured individuals (aOR 0.962, 95% CI 0.937-0.987; p < 0.01). CONCLUSIONS: Counties without neurosurgeons and those with a higher percentage of Black patients have delays in surgical care and demonstrate lower overall rates of surgery and adjuvant therapy for GBM. This study underscores the need for targeted interventions and policies that address structural barriers in healthcare access, improve equitable distribution of the neurosurgery workforce, and ensure timely and comprehensive GBM care to all populations.

Risk of developing glioblastoma following non-CNS primary cancer: a SEER analysis between 2000 and 2018.

BACKGROUND: Patients with a prior malignancy are at elevated risk of developing subsequent primary malignancies (SPMs). However, the risk of developing subsequent primary glioblastoma (SPGBM) in patients with a prior cancer history is poorly understood. METHODS: We used the Surveillance, Epidemiology, and End Results (SEER) database and identified patients diagnosed with non-CNS malignancy between 2000 and 2018. We calculated a modified standardized incidence ratio (M-SIR), defined as the ratio of the incidence of SPGBM among patients with initial non-CNS malignancy to the incidence of GBM in the general population, stratified by sex latency, and initial tumor location. RESULTS: Of the 5,326,172 patients diagnosed with a primary non-CNS malignancy, 3559 patients developed SPGBM (0.07%). Among patients with SPGBM, 2312 (65.0%) were men, compared to 2,706,933 (50.8%) men in the total primary non-CNS malignancy cohort. The median age at diagnosis of SPGBM was 65 years. The mean latency between a prior non-CNS malignancy and developing a SPGBM was 67.3 months (interquartile range [IQR] 27-100). Overall, patients with a primary non-CNS malignancy had a significantly elevated M-SIR (1.13, 95% CI 1.09-1.16), with a 13% increased incidence of SPGBM when compared to the incidence of developing GBM in the age-matched general population. When stratified by non-CNS tumor location, patients diagnosed with primary melanoma, lymphoma, prostate, breast, renal, or endocrine malignancies had a higher M-SIR (M-SIR ranges: 1.09-2.15). Patients with lung cancers (M-SIR 0.82, 95% CI 0.68-0.99), or stomach cancers (M-SIR 0.47, 95% CI 0.24-0.82) demonstrated a lower M-SIR. CONCLUSION: Patients with a history of prior non-CNS malignancy are at an overall increased risk of developing SPGBM relative to the incidence of developing GBM in the general population. However, the incidence of SPGBM after prior non-CNS malignancy varies by primary tumor location, with some non-CNS malignancies demonstrating either increased or decreased predisposition for SPGBM depending on tumor origin. These findings merit future investigation into whether these relationships represent treatment effects or a previously unknown shared predisposition for glioblastoma and non-CNS malignancy.

Risk of Death from Alzheimer's Disease Associated with Brain Tumor, Glioma, and Glioblastoma.

BACKGROUND: No study has compared the risk of Alzheimer's disease (AD) in patients with brain tumors, gliomas, or glioblastomas with the risk in patients with other tumors. OBJECTIVE: To determine whether, compared with other tumors, brain tumors, gliomas, and glioblastomas increase the risk of AD. METHODS: This study identified a case group of 24,441 patients from the Surveillance, Epidemiology, and End Results (SEER) database who were diagnosed with only one primary tumor at age > 20 years in 1975-2019 and died from AD at age > 65 years as case group. The control group comprised 122,205 subjects from the SEER database who died from causes other than AD but otherwise had the same conditions as those in the case group. RESULTS: There was a significantly lower prevalence of glioma (0.074% versus 0.14%, p = 0.007) and glioblastoma (0.0082% versus 0.074%, p = 0.001) in patients who died from AD than in those who died from other causes, while brain tumors were not significantly associated with AD death (p = 0.227). When adjusted for factors including age at death, sex, race, tumor behavior, radiation therapy and tumor-directed surgery, glioblastoma was related to a significantly lower AD risk than other tumors (odds ratio: 0.19, 95% CI: 0.05-0.77). Additionally, patients who were older, female, American Indian/Alaska Native, had a benign tumor, radiation therapy and tumor-directed surgery had a significantly higher risk of dying from AD. CONCLUSION: Gliomas and glioblastomas were associated with a significantly lower risk of death from AD than other tumors.

Status epilepticus in patients with glioblastoma: Clinical characteristics, risk factors, and epileptological outcome.

PURPOSE: Epilepsy is a common comorbidity in patients with glioblastoma, however, clinical data on status epilepticus (SE) in these patients is sparse. We aimed to investigate the risk factors associated with the occurrence and adverse outcomes of SE in glioblastoma patients. METHODS: We retrospectively analysed electronic medical records of patients with de-novo glioblastoma treated at our institution between 01/2006 and 01/2020 and collected data on patient, tumour, and SE characteristics. RESULTS: In the final cohort, 292/520 (56.2 %) patients developed seizures, with 48 (9.4 % of the entire cohort and 16.4 % of patients with epilepsy, PWE) experiencing SE at some point during the course of their disease. SE was the first symptom of the tumour in 6 cases (1.2 %) and the first manifestation of epilepsy in 18 PWE (6.2 %). Most SE episodes occurred postoperatively (n = 37, 77.1 %). SE occurrence in PWE was associated with postoperative seizures and drug-resistant epilepsy. Adverse outcome (in-house mortality or admission to palliative care, 10/48 patients, 20.8 %), was independently associated with higher status epilepticus severity score (STESS) and Charlson Comorbidity Index (CCI), but not tumour progression. 32/48 SE patients (66.7 %) were successfully treated with first- and second-line agents, while escalation to third-line agents was successful in 6 (12.5 %) cases. CONCLUSION: Our data suggests a link between the occurrence of SE, postoperative seizures, and drug-resistant epilepsy. Despite the dismal oncological prognosis, SE was successfully treated in 79.2 % of the cases. Higher STESS and CCI were associated with adverse SE outcomes.

Deep Learning Approaches for Glioblastoma Prognosis in Resource-Limited Settings: A Study Using Basic Patient Demographic, Clinical, and Surgical Inputs.

BACKGROUND: Glioblastoma (GBM) is the most common brain tumor in the United States, with an annual incidence rate of 3.21 per 100,000. It is the most aggressive type of diffuse glioma and has a median survival of months after treatment. This study aims to assess the accuracy of different novel deep learning models trained on a set of simple clinical, demographic, and surgical variables to assist in clinical practice, even in areas with constrained health care infrastructure. METHODS: Our study included 37,095 patients with GBM from the SEER (Surveillance Epidemiology and End Results) database. All predictors were based on demographic, clinicopathologic, and treatment information of the cases. Our outcomes of interest were months of survival and vital status. Concordance index (C-index) and integrated Brier scores (IBS) were used to evaluate the performance of the models. RESULTS: The patient characteristics and the statistical analyses were consistent with the epidemiologic literature. The models C-index and IBS ranged from 0.6743 to 0.6918 and from 0.0934 to 0.1034, respectively. Probabilistic matrix factorization (0.6918), multitask logistic regression (0.6916), and logistic hazard (0.6916) had the highest C-index scores. The models with the lowest IBS were the probabilistic matrix factorization (0.0934), multitask logistic regression (0.0935), and logistic hazard (0.0936). These models had an accuracy (1-IBS) of 90.66%; 90.65%, and 90.64%, respectively. The deep learning algorithms were deployed on an interactive Web-based tool for practical use available via https://glioblastoma-survanalysis.herokuapp.com/. CONCLUSIONS: Novel deep learning algorithms can better predict GBM prognosis than do baseline methods and can lead to more personalized patient care regardless of extensive electronic health record availability.

Glioblastoma and Other Primary Brain Malignancies in Adults: A Review.

Importance: Malignant primary brain tumors cause more than 15 000 deaths per year in the United States. The annual incidence of primary malignant brain tumors is approximately 7 per 100 000 individuals and increases with age. Five-year survival is approximately 36%. Observations: Approximately 49% of malignant brain tumors are glioblastomas, and 30% are diffusely infiltrating lower-grade gliomas. Other malignant brain tumors include primary central nervous system (CNS) lymphoma (7%) and malignant forms of ependymomas (3%) and meningiomas (2%). Symptoms of malignant brain tumors include headache (50%), seizures (20%-50%), neurocognitive impairment (30%-40%), and focal neurologic deficits (10%-40%). Magnetic resonance imaging before and after a gadolinium-based contrast agent is the preferred imaging modality for evaluating brain tumors. Diagnosis requires tumor biopsy with consideration of histopathological and molecular characteristics. Treatment varies by tumor type and often includes a combination of surgery, chemotherapy, and radiation. For patients with glioblastoma, the combination of temozolomide with radiotherapy improved survival when compared with radiotherapy alone (2-year survival, 27.2% vs 10.9%; 5-year survival, 9.8% vs 1.9%; hazard ratio [HR], 0.6 [95% CI, 0.5-0.7]; P < .001). In patients with anaplastic oligodendroglial tumors with 1p/19q codeletion, probable 20-year overall survival following radiotherapy without vs with the combination of procarbazine, lomustine, and vincristine was 13.6% vs 37.1% (80 patients; HR, 0.60 [95% CI, 0.35-1.03]; P = .06) in the EORTC 26951 trial and 14.9% vs 37% in the RTOG 9402 trial (125 patients; HR, 0.61 [95% CI, 0.40-0.94]; P = .02). Treatment of primary CNS lymphoma includes high-dose methotrexate-containing regimens, followed by consolidation therapy with myeloablative chemotherapy and autologous stem cell rescue, nonmyeloablative chemotherapy regimens, or whole brain radiation. Conclusions and Relevance: The incidence of primary malignant brain tumors is approximately 7 per 100 000 individuals, and approximately 49% of primary malignant brain tumors are glioblastomas. Most patients die from progressive disease. First-line therapy for glioblastoma is surgery followed by radiation and the alkylating chemotherapeutic agent temozolomide.

Racial disparities in recommendations for surgical resection of primary brain tumours: a registry-based cohort analysis.

BACKGROUND: Disparities in treatment and outcomes disproportionately affect minority ethnic and racial populations in many surgical fields. Although substantial research in racial disparities has focused on outcomes, little is known about how surgeon recommendations can be influenced by patient race. The aim of this study was to investigate racial and socioeconomic disparities in the surgical management of primary brain tumors. METHODS: In this registry-based cohort study, we used data from the Surveillance, Epidemiology, and End Results (SEER) database (1975-2016) and the American College of Surgeons National Cancer Database (NCDB) in the USA for independent analysis. Adults (aged ≥20 years) with a new diagnosis of meningioma, glioblastoma, pituitary adenoma, vestibular schwannoma, astrocytoma, and oligodendroglioma, with information on tumour size and surgical recommendation were included in the analysis. The primary outcome of this study was the odds of a surgeon recommending against surgical resection at diagnosis of primary brain neoplasms. This outcome was determined using multivariable logistic regression with clinical, demographic, and socioeconomic factors. FINDINGS: This study included US national data from the SEER (1975-2016) and NCDB (2004-17) databases of adults with a new diagnosis of meningioma (SEER n=63 674; NCDB n=222 673), glioblastoma (n=35 258; n=104 047), pituitary adenoma (n=27 506; n=87 772), vestibular schwannoma (n=11 525; n=30 745), astrocytoma (n=5402; n=10 631), and oligodendroglioma (n=3977; n=9187). Independent of clinical and demographic factors, including insurance status and rural-urban continuum code, Black patients had significantly higher odds of recommendation against surgical resection of meningioma (adjusted odds ratio 1·13, 95% CI 1·06-1·21, p<0·0001), glioblastoma (1·14, 1·01-1·28, p=0·038), pituitary adenoma (1·13, 1·05-1·22, p<0·0001), and vestibular schwannoma (1·48, 1·19-1·84, p<0·0001) when compared with White patients in the SEER dataset. Additionally, patients of unknown race had significantly higher odds of recommendation against surgical resection for pituitary adenoma (1·80, 1·41-2·30, p<0·0001) and vestibular schwannoma (1·49, 1·10-2·04, p=0·011). Performing a validation analysis using the NCDB dataset confirmed these significant results for Black patients with meningioma (1·18, 1·14-1·22, p<0·0001), glioblastoma (1·19, 1·12-1·28, p<0·0001), pituitary adenoma (1·21, 1·16-1·25, p<0·0001), and vestibular schwannoma (1·19, 1·04-1·35, p=0·0085), and indicated and indicated that the findings are independent of patient comorbidities. When further restricted to the most recent decade in SEER, these inequities held true for Black patients, except those with glioblastoma (meningioma [1·18, 1·08-1·28, p<0·0001], pituitary adenoma [1·20, 1·09-1·31, p<0·0001], and vestibular schwannoma [1·54, 1·16-2·04, p=0·0031]). INTERPRETATION: Racial disparities in surgery recommendations in the USA exist for patients with primary brain tumours, independent of potential confounders including clinical, demographic, and select socioeconomic factors. Further studies are needed to understand drivers of this bias and enhance equality in surgical care. FUNDING: None.

[Increment of the incidence of glioblastoma following decrease in the incidence of brain tumors in 2000-2020: a population-based registry study]. / Rost zabolevaemosti glioblastomoi na fone umen'sheniya chastoty opukholei golovnogo mozga v 2000­2020 gg.: populyatsionnoe registrovoe issledovanie.

BACKGROUND: Prevalence and dynamics of certain morphological variants of neuroglial brain malignancies (ICD-10 C71) are unknown in the Russian Federation. OBJECTIVE: To assess the incidence of neuroglial brain malignancies in 2000-2020 considering individual records of morphologically verified cases in the cancer registry of the Arkhangelsk region. MATERIAL AND METHODS: We analyzed overall and age-adjusted incidence of neuroglial brain malignancies in 2000-2020 considering morphological subtypes of tumor. Incidence of morphologically verified glioblastoma was assessed in detail taking into account gender, age and place of residence. Segmented regression analysis was used to assess the dynamics and significance of linear trends. RESULTS: In total, there were 1699 brain malignancies for the period from 2000 to 2020. Morphological verification was obtained in 1289 (76%) patients including 467 (27%), 92 (5%) and 307 (18%) ones with glioblastoma, anaplastic G3 glioma and G2 glioma, respectively. Percentage of glioblastoma and anaplastic gliomas increased from 23.4% and 3.9% in 2000 to 55.3% and 9.2% in 2020, respectively. Age-adjusted incidence for the entire C71 group decreased from 5.2 to 3.2 cases per 100,000 after 2015 (annual decline 7.1%). However, incidence of glioblastoma monotonously increased from 1.0 to 2.1 per 100,000 (annual increment 6.2%). Incidence was similar in men and women. Age-adjusted incidence was 50-70% higher among rural population. CONCLUSION: Significant increase (>2 times) in the incidence of glioblastoma was found over the past twenty years. Probably, it is associated with improved diagnosis and registration of this disease. In-depth analysis of morbidity and survival of patients with rare neuroglial tumors is required.

Refined efficacy and outcome estimates of surgical treatment in oldest-old patients with glioblastomas based on competing risk model and conditional survival analysis: A surveillance, epidemiology, and end results population-based study.

BACKGROUND AND PURPOSE: To determine the refined estimates of the surgical effects on the short- and long-term prognoses of oldest-old patients (aged ≥80 years) with glioblastomas. MATERIALS AND METHODS: Using the Surveillance, Epidemiology, and End Results registry, we identified the oldest-old patients with glioblastomas between 2005 and 2016. Propensity score matching, Kaplan-Meier analysis, Cox regression analysis, and competing risk model were used to assess the curative efficacy of the surgical treatments. Stratification and interaction analysis were performed to explore the potential interaction effects. The conditional survival rates were calculated to explore the longitudinal change in the survival probability over time. RESULTS: This study enrolled 3309 patients with a median overall survival of 3 months. The overall survival differed significantly among the different surgical groups. Considering the gross total resection as reference, subtotal resection presented adjusted subdistribution hazard ratio (95% confidence interval) of 1.197 (1.052-1.362; p < 0.001); biopsy/partial resection, 1.242 (1.083-1.424; p = 0.002); and no surgery, 1.309 (1.145-1.497; p < 0.006). Age ≥ 83 years, widowed/other status, tumor size 4-5 cm, and temporal tumors showed significant interaction effects. The adjusted subdistribution hazard ratio of radical resection was 0.729 (0.645-0.825; p < 0.001). Based on disease-specific survival, the 1-year survival rate was 18% and 26% for the non-radical and radical surgery groups, respectively. The 1-year conditional survival rates in the second year were 54% and 39% in the non-radical and radical surgery groups, respectively. The 3-year survival rates were 10% in both the groups. CONCLUSIONS: Radical surgery may have short-term benefits in the oldest-old patients with glioblastoma, with a significant increase in the 1-year survival rate. However, its contribution in the long-term outcome is limited due to decreased conditional survival rates from the second year after surgery. Prudent patient selection and improved postoperative management may be needed to promote the therapeutic efficacy of tumor resection synergistically.

Glioblastoma multiforme in patients with human immunodeficiency virus: an integrated review and analysis.

INTRODUCTION: As lifespans for persons living with HIV (PLWH) have improved over the last decade, there has been a simultaneous increase in non-AIDS-related cancer in that group. However, there is a paucity of data regarding the incidence of glioblastoma multiforme (GBM) in PLWH. Better understanding of the oncogenesis, natural history, and treatment outcomes of GBM in PLWH should lead to improved treatment strategies. METHODS: We performed a comprehensive literature search of six electronic databases to identify eligible cases of GBM among PLWH. Kaplan-Meier estimates, Fisher's exact test, and logistic regression were used to interrogate the data. Epidemiologic data on global HIV prevalence was obtained from the 2016 UNAIDS incidence report, and CNS cancer incidence was obtained from the GDB 2016 Brain and Other CNS Cancer Collaborators. RESULTS: There is an inverse relationship between the incidence of HIV and CNS cancer globally. Median overall survival (OS) from GBM diagnosis was 8 months. Estimates for survival at 1 and 2 years were 28 and 5%, respectively. There were no statistically significant predictors of OS in this setting. There was a significant difference (p < 0.01) in OS in PLWH and GBM when compared to TCGA age matched cohorts. CONCLUSION: The diagnosis of GBM in PLWH is severely underreported in the literature. Despite maximal treatment, OS in this patient population is significantly less than in HIV-negative people. There was a poor prognosis of GBM in PLWH, which is inconsistent with previous reports. Further investigation is required for PLWH and concomitant GBM. Analyses must consider if HAART is maintained in PLWH during GBM treatment.

Prognostic significance of STAT3 gene expression in patients with glioblastoma tumors: a study from Western India.

OBJECTIVE: Glioblastoma Multiforme (GBM), a devastating the most common primary malignant intracranial brain tumors. In India, the incidence of this malignancy is escalating, however, there are very few studies on this tumor entity from Indian population. The present study sought to investigate the prevalence and prognostic significance of Signal Transducer and Activator of Transcription 3 (STAT3) gene expression in GBM patients from Western India. METHOD: STAT3 gene expression using real-time PCR was detected in total 55 GBM patients. The impact of STAT3 aberrant expression on progression-free survival (PFS) and overall (OS) was analysed using univariate and multivariate survival analysis. The data were analysed using SPSS statistical software and p value ≤0.05 was considered as significant. RESULTS: The aberrant STAT3 expression was found in 85% (47/55) of patients with -1.12 fold change down-regulation in 49% (23/47) and 3.36 fold change up-regulation was noted in 51% (24/47) of patients. In wild type IDH tumors (n=30), down regulation and up regulation of STAT3 was noted in 63% and 27% of patients, respectively, whereas, for IDH mutant GBM tumors (n=25), the incidence of low expression and high expression of STAT3 was noted in 16% and 68% of patients, respectively. Thus, we found that incidence of STAT3 down regulation was significantly high in patients with IDH wild type tumors, whereas, in IDH mutant GBM tumors, the incidence of up-regulated STAT3 was significantly high (P=0.021, χ2=12.81, r=+0.310). In Kaplan-Meier univariate survival analysis, a part from age (P=0.006), tumor location (P=0.025), and KPS score (P=0.002), co-detection of STAT3 up regulation and presence of IDH mutation (P=0.030) remained significant prognostic factors for PFS and OS. In multivariate survival analysis also, co-detection of STAT3 high expression and presence of IDH mutation remained independent prognosticators for PFS (HR=6.45, 95% CI=1.32-31.40, P=0.021) and OS (HR=8.69, 95% CI=1.66-45.51, P=0.010). CONCLUSION: For GBM tumors, STAT3 up-regulation and presence of IDH mutations together predicts better survival. This reflects unique molecular etiology for GBM patients. Therefore, they would be useful in the future for targeted therapy and for clinicians they would be useful for better patient management. However, study on a larger sample size is required for validation.

Predicting access to postoperative treatment after glioblastoma resection: an analysis of neighborhood-level disadvantage using the Area Deprivation Index (ADI).

PURPOSE: Social determinants of health (SDoH)-socioeconomic and environmental factors-impact outcomes. The Area Deprivation Index (ADI), a composite of seventeen SDoH factors, has been correlated with poorer outcomes. We aimed to compare outcomes and treatment access for glioblastoma, a universally fatal malignant brain tumor, in patients more (ADI 34-100%) versus less disadvantaged (ADI 0-33%). METHODS: A 5-year retrospective study of Rhode Island Hospital and Mayo Clinic databases was conducted from 2012 to 2017 for patients ≥ 18 years with glioblastoma. Patient addresses were matched to ADI percentiles and grouped into more (top 66% ADI) and less disadvantaged. Adjusted multivariable regressions were used to compare outcomes between groups. RESULTS: A total of 434 patients met inclusion; 92.9% were insured, 56.2% were more disadvantaged (n = 244), and the more disadvantaged cohort was younger on average (62 years). After adjustment, the more disadvantaged group had decreased odds of receiving gross total resection (adjusted odds ratio (aOR) 0.43, 95% CI [0.27-0.68]; p < 0.001). This cohort also had decreased odds of undergoing chemotherapy (aOR 0.51[0.26-0.98]), radiation (aOR 0.39[0.20-0.77]), chemoradiation (aOR 0.42[0.23-0.77]), tumor-treating fields (aOR 0.39[0.16-0.93]), and clinical trial participation (aOR 0.47[0.25-0.91]). No differences in length of survival or postoperative Karnofsky Performance Status Scale were observed. CONCLUSION: More disadvantaged glioblastoma patients had decreased odds of receiving gross total resection. They also exhibited decreased odds of receiving standard of care like chemoradiation as well as participating in a clinical trial, compared to the less disadvantaged group. More research is needed to identify modifiable SDoH barriers to post-operative treatment in disadvantaged patients with glioblastoma.

Venous thromboembolic events in glioblastoma patients: An epidemiological study.

BACKGROUND AND PURPOSE: Venous thromboembolic events (VTEs) are a major complication in cancer patients, and therefore, also in brain cancer patients, anticoagulants are considered appropriate in the treatment of VTEs. METHODS: Frequency, risk factors, and treatment of VTEs, as well as associated complications, were assessed in a population-based cohort of glioblastoma patients in the Canton of Zurich, Switzerland. Correlations between clinical data and survival were retrospectively analyzed using the log-rank test and Cox regression models. RESULTS: Four hundred fourteen glioblastoma patients with isocitrate dehydrogenase wild-type status were identified. VTEs were documented in 65 patients (15.7%). Median time from tumor diagnosis to the occurrence of a VTE was 1.8 months, and 27 patients were diagnosed with VTEs postoperatively (within 35 days; 42.2%). History of a prior VTE was more common in patients who developed VTEs than in those who did not (p = 0.004). Bevacizumab treatment at any time during the disease course was not associated with occurrence of VTEs (p = 0.593). Most patients with VTEs (n = 61, 93.8%) were treated with therapeutic anticoagulation. Complications occurred in 14 patients (23.0%), mainly intracranial hemorrhages (n = 7, 11.5%). Overall survival did not differ between patients diagnosed with VTEs and those who had no VTE (p = 0.139). Tumor progression was the major cause of death (n = 283, 90.7%), and only three patients (1.0%) died in association with acute VTEs. CONCLUSIONS: Venous thromboembolic events occurred early in the disease course, suggesting that the implementation of primary venous thromboembolism prophylaxis during first-line chemoradiotherapy could be explored in a randomized setting.