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The EORTC/NCIC 22981/26981 study demonstrated an improvement in median overall survival (OS) from 12.1 to 14.6 months in patients with glioblastoma (GBM) who received temozolomide with post-operative radiotherapy (RT). The current study was performed to determine if those results translated into a survival benefit in a population-based cohort. Patients diagnosed between 2000 and 2006 with a GBM who underwent surgery and post-operative RT were selected from the Surveillance, Epidemiology and End Results database. Patients were grouped into time periods: 2000–2001, 2002–2003, 2004 and 2005–2006 (which represented those treated after the EORTC/NCIC trial presentation in 2004). Relative survival (RS) was estimated by the Kaplan–Meier method, and Cox multivariable regression modeling was used to estimate proportional hazard ratios (HR). Over time, there was improvement in the median and 2-year RS of 12 months and 15% for 2000–2001, 13 months and 19% for 2002–2003, 14 months and 24% for 2004, and 15 months and 26% for 2005–2006 ( P  < 0.0001 compared to 2000–2001 and 2002–2003; P  = 0.07 compared to 2004). The estimated adjusted HR showed that patients diagnosed in 2005–2006 had significantly improved survival when compared to patients diagnosed in 2000–2001 (HR = 0.648, 95% CI 0.604–0.696). The median and 2 year RS of 15 months and 26% in 2005–2006 was similar to the median and 2 year OS of 14.6 months and 26% seen in the EORTC/NCIC phase III study. These results are encouraging and suggest that the current treatment of glioblastoma nationwide is now associated with an improved survival compared to previous time cohorts.

Low-grade gliomas affect younger adults and carry a favorable prognosis. They include a variety of biological features affecting clinical behavior and treatment. Having no guidelines on treatment established, we aim to describe clinical and treatment patterns of low-grade gliomas across the largest cancer database in the United States. We analyzed the National Cancer Database from 2004 to 2015, for adult patients with a diagnosis of World Health Organization grade II diffuse glioma. We analyzed 13,621 cases with median age of 41 years. Over 56% were male, 88.4% were white, 6.1% were black, and 7.6% Hispanic. The most common primary site location was the cerebrum (79.9%). Overall, 72.2% received surgery, 36.0% radiation, and 27.3% chemotherapy. Treatment combinations included surgery only (41.5%), chemotherapy + surgery (6.6%), chemotherapy only (3.1%), radiation + chemotherapy + surgery (10.7%), radiation + surgery (11.5%), radiation only (6.1%), and radiotherapy + chemotherapy (6.7%). Radiation was more common in treatment of elderly patients, 1p/19q co-deletion (37.3% versus 24.3%, p<0.01), and tumors with midline location. Median survival was 11 years with younger age, 1p/19q co-deletion, and cerebrum location offered survival advantage. Tumor location, 1p/19q co-deletion, and age were the main determinants of treatment received and survival, likely reflecting tumor biology differences. Any form of treatment was preferred over watchful waiting in the majority of the patients (86.1% versus 8.1%). Survival of low-grade gliomas is higher than previously reported in the majority of clinical trials and population-based analyses. Our analysis provides a real world estimation of treatment decisions, use of molecular data, and outcomes.

We evaluated the American College of Surgeon’s National Cancer Data Base (NCDB) to describe current hospital-based epidemiologic frequency, survival, and patterns of care of pediatric medulloblastoma. We analyzed NCDB 1998–2011 data on medulloblastoma for children ages 0–19 years using logistic and poisson regression, Kaplan–Meier survival estimates, and Cox proportional hazards models. 3647 cases of medulloblastoma in those aged 0–19 years were identified. Chemotherapy was received by 79 and 74% received radiation, with 65% receiving both therapies. Those who received radiation were more likely to be older than four, while those who received chemotherapy were more likely to be age four and younger. Variables associated with receipt of neither radiation nor chemotherapy included age at diagnosis of <1 year, female gender, being of race other than black or white, having no insurance, and living in a residential area with a low level of high school graduates. Better overall survival was observed as age at diagnosis increased, in females, and having received radiation. Compared to medulloblastoma, NOS, better survival was observed for those with demoplastic medulloblastoma, with worse survival in those with large cell medulloblastoma. Majority received multi- disciplinary therapy and radiation had the greatest effect on survival. Ages four and under were most likely to receive chemotherapy and least likely to receive radiation. Suboptimal treatment included 17.8% that did not receive chemotherapy, of which 11.8% received neither chemotherapy nor radiation. Disparities associated with medical access were characteristics for not receiving standard treatment, which resulted in poor outcome.

Introduction Brain tumor treatment and survival information is generally limited in large-scale cancer datasets. We provide a clinical investigation of current patterns of care and survival estimates for central nervous system (CNS) tumors treated in the United States. Methods We analyzed the National Cancer Database from 2004–2015 for all patients with diagnosis of primary CNS tumors. We describe patient demographics, treatment modality, and analyzed survival estimates. Results 512,168 patient tumor records were examined. The most common histology was meningioma (43.6%), followed by glioblastoma (22.0%), and nerve sheath tumors (10.6%). Patients had a median age of 60 years, with a female (57.9%), white (85.0%), and non-Hispanic (87.8%) predominance. Tumors were reported as World Health Organization (WHO) grade I for 55.9% of the patients, grade II for 5.9%, grade III for 4.4%, grade IV for 24.3%, and grade unknown or not applicable for 9.4%. Overall, 56% underwent surgical procedures, 30.4% received radiation, and 20.6% received chemotherapy. Radiation plus chemotherapy and surgery was the most common treatment modality in high-grade tumors (40.5% in WHO grade III and 49.3% in WHO grade IV), while surgery only or watchful waiting was preferred in low-grade tumors. Older age, male gender, non-Hispanic origin, higher number of comorbidities, and lower socioeconomic status were identified as risk factors for mortality. Conclusions Our analysis provides long-term survival estimates and initial treatment decisions for patients with CNS tumors in hospitals throughout the United States. Age, comorbidities, gender, ethnicity, and socioeconomic characteristics were determinants of survival.

Glioblastoma (GBM) presents a significant public health challenge as the deadliest and most common malignant brain tumor in adults. Despite standard-of-care treatment, which includes surgery, radiation, and chemotherapy, mortality rates are high, underscoring the critical need for advancing GBM therapy. Over the past two decades, numerous clinical trials have been performed, yet only a small fraction demonstrated a benefit, raising concerns about the predictability of current preclinical models. Traditionally, preclinical studies utilize treatment-naïve tumors, failing to model the clinical scenario where patients undergo standard-of-care treatment prior to recurrence. Recurrent GBM generally exhibits distinct molecular alterations influenced by treatment selection pressures. In this review, we discuss the impact of treatment—surgery, radiation, and chemotherapy—on GBM. We also provide a summary of treatments used in preclinical models, advocating for their integration to enhance the translation of novel strategies to improve therapeutic outcomes in GBM.

Background Cancer arises through accumulation of somatically acquired genetic mutations. An important question is to delineate the temporal order of somatic mutations during carcinogenesis, which contributes to better understanding of cancer biology and facilitates identification of new therapeutic targets. Although a number of statistical and computational methods have been proposed to estimate the temporal order of mutations, they do not account for the differences in the functional impacts of mutations and thus are likely to be obscured by the presence of passenger mutations that do not contribute to cancer progression. In addition, many methods infer the order of mutations at the gene level, which have limited power due to the low mutation rate in most genes. Results In this paper, we develop a P robabilistic A pproach for estimating the T emporal O rder of P athway mutations by leveraging functional A nnotations of mutations (PATOPA). PATOPA infers the order of mutations at the pathway level, wherein it uses a probabilistic method to characterize the likelihood of mutational events from different pathways occurring in a certain order. The functional impact of each mutation is incorporated to weigh more on a mutation that is more integral to tumor development. A maximum likelihood method is used to estimate parameters and infer the probability of one pathway being mutated prior to another. Simulation studies and analysis of whole exome sequencing data from The Cancer Genome Atlas (TCGA) demonstrate that PATOPA is able to accurately estimate the temporal order of pathway mutations and provides new biological insights on carcinogenesis of colorectal and lung cancers. Conclusions PATOPA provides a useful tool to estimate temporal order of mutations at the pathway level while leveraging functional annotations of mutations.

Background Bevacizumab is widely used and may cause life-threatening bleeding. We attempted to identify clinical characteristics associated with central nervous system (CNS) hemorrhage in a broad population. Methods We performed a retrospective review of the FDA MedWatch database of adverse events reported with bevacizumab from 11/1997 to 5/2009. Our search used keywords: bleeding, hemorrhage, cerebral, intracranial, subarachnoid, cerebellar, hemorrhagic stroke and brain. Results A total of 17,466 reports were included in the database: 154 described CNS hemorrhage in 99 patients, and 1,041 reports described non-CNS bleeds. Median age was 62 years, and the primary cancers were consistent with indications for bevacizumab. Patients received a median of three (1–36) doses of bevacizumab prior to the bleed. Thirty percent had documented history of hypertension. Sixteen patients with CNS hemorrhage were reported to have CNS metastases. Death was reported as a complication of hemorrhage in 48 %. The most common predisposing factor for CNS bleeds was use of medications associated with bleeding, followed by thrombocytopenia. Conclusion In this database, 154 of 1,195 reports of bleeding associated with bevacizumab described a CNS bleed. Although CNS bleeds were not common, they were the reported cause of death in two-thirds of cases.

Background/Objectives: Little information has been published on patients diagnosed with brain metastasis secondary to lung cancer. Correlating outcome patterns (hospice care, lost to follow-up, death before hospice care or treatment) and specific characteristics of treated and untreated patients may identify subsets of patients who may benefit from treatment. Methods: We evaluated data from the Kentucky Cancer Registry and identified 284 cases who were diagnosed with brain metastasis secondary to non-small cell lung cancer (NSCLC) between 1 August 2016, and 31 December 2019. We evaluated type and timing of treatment received, as well as focused on those patients who did not receive treatment. For those patients who did not receive treatment, various characteristics that may have impacted their decision or ability to undergo follow-up were also evaluated. This included social history, disease burden, as well as oncology treatment timelines. Lastly, due to the high smoking rate in Kentucky, we conducted an analysis of patient tobacco use. Results: Our results show that 61 cases (21.8%) never received treatment for lung cancer with brain metastasis. Further analysis of the non-treated cases demonstrated that 19 cases (31.1%) never met with an oncology team while in the hospital or after discharge; 14 of the 61 cases (23.0%) were too sick to receive treatment and died prior to having the option of treatment; and 47 of the 61 cases (77.0%) may have had the option of treatment but declined. Conclusions: Historically, patients with brain metastases have faced poor prognoses and limited treatment options. However, advancements in systemic chemoimmunotherapy and targeted therapies have introduced new treatment possibilities, offering improved symptom control and the potential for prolonged survival. This analysis is crucial for identifying potential barriers to care, optimizing resource allocation, and guiding future research.

The novel anti-mitotic based tumor treating fields (TTFields) is FDA approved for recurrent glioblastoma. Recently the phase III upfront trial combining the Novo TTF-100A device, called Optune, with temozolomide following concurrent radiation therapy and chemotherapy, demonstrated improvement in survival. Wider use of this novel therapy is expected. The most common adverse event is dermatologic, which dominates compared to the next most frequently observed adverse event of headaches, the incidence of which was even in both arms in the phase III registration trial for recurrent glioblastoma. Our case review outlines the presentation, treatment, and outcome of representative patients using TTFields. In summary, preventative strategies to inform and educate patients and operators can prevent many of these dermatological events. Skin toxicity in the setting of concurrent use of TTFields with other therapies such as bevacizumab is an unknown and will need to be closely followed.

Background Describe a single-center real-world experience with comprehensive genomic profiling (CGP) to identify genotype directed therapy (GDT) options for patients with malignancies refractory to standard treatment options. Methods Patients who had CGP by a CLIA-certified laboratory between November 2012 and December 2015 were included. The medical records were analyzed retrospectively after Institutional Review Board (IRB) approval. The treating oncologist made the decision to obtain the assay to provide potential therapeutic options. The objectives of this study were to determine the proportion of patients who benefited from GDT, and to identify barriers to receiving GDT. Results A total of 125 pediatric and adult patients with a histologically confirmed diagnosis of malignancy were included. Among these, 106 samples were from adult patients, and 19 samples were from pediatric patients. The median age was 54 years for adults. The majority had stage IV malignancy (53%) and were pretreated with 2–3 lines of therapy (45%). The median age was 8 years for pediatric patients. The majority had brain tumors (47%) and had received none or 1 line of therapy (58%) when the profiling was requested. A total of 111 (92%) patients had genomic alterations and were candidates for GDT either via on/off-label use or a clinical trial (phase 1 through 3). Fifteen patients (12%) received GDT based on these results including two patients who were referred for genomically matched phase 1 clinical trials. Three patients (2%) derived benefit from their GDT that ranged from 2 to 6 months of stable disease. Conclusions CGP revealed potential treatment options in the majority of patients profiled. However, multiple barriers to therapy were identified, and only a small minority of the patients derived benefit from GDT.