Brain tumor biobanking in the precision medicine era: building a high-quality resource for translational research in neuro-oncology.

The growth of precision medicine has made access to biobanks with high-quality, well-annotated neuro-oncology biospecimens critical. Developing and maintaining neuro-oncology biobanks is best accomplished through multidisciplinary collaboration between clinicians and researchers. Balancing the needs and leveraging the skills of all stakeholders in this multidisciplinary effort is of utmost importance. Collaboration with a multidisciplinary team of clinicians, health care team members, and institutions, as well as patients and their families, is essential for access to participants in order to obtain informed consent, collect samples under strict standard operating procedures, and accurate and relevant clinical annotation. Once a neuro-oncology biobank is established, development and implementation of policies related to governance and distribution of biospecimens (both within and outside the institution) is of critical importance for sustainability. Proper implementation of a governance process helps to ensure that the biospecimens and data can be utilized in research with the largest potential benefit. New NIH and peer-reviewed journal policies related to public sharing of 'omic' data generated from stored biospecimens create new ethical challenges that must be addressed in developing informed consents, protocols, and standard operating procedures. In addition, diversification of sources of funding for the biobanks is needed for long-term sustainability.

Years of life lived with disease and years of potential life lost in children who die of cancer in the United States, 2009.

Incidence and survival rates are commonly reported statistics, but these may fail to capture the full impact of childhood cancers. We describe the years of potential life lost (YPLL) and years of life lived with disease (YLLD) in children and adolescents who died of cancer in the United States to estimate the impact of childhood cancer in the United States in 2009. We examined mortality data in 2009 among children and adolescents <20 years old in both the National Vital Statistics System (NVSS) and the Surveillance, Epidemiology, and End Results (SEER) datasets. YPLL and YLLD were calculated for all deaths due to cancer. Histology-specific YPLL and YLLD of central nervous system (CNS) tumors, leukemia, and lymphoma were estimated using SEER. There were 2233 deaths and 153,390.4 YPLL due to neoplasm in 2009. CNS tumors were the largest cause of YPLL (31%) among deaths due to cancer and were the cause of 1.4% of YPLL due to all causes. For specific histologies, the greatest mean YPLL per death was due to atypical teratoid/rhabdoid tumor (78.0 years lost). The histology with the highest mean YLLD per death in children and adolescents who died of cancer was primitive neuroectodermal tumor (4.6 years lived). CNS tumors are the most common solid malignancy in individuals <20 years old and have the highest YPLL cost of all cancers. This offers the first histology-specific description of YPLL in children and adolescents and proposes a new measure of cancer impact, YLLD, in individuals who die of their disease. YPLL and YLLD complement traditional indicators of mortality and help place CNS tumors in the context of other childhood malignancies.

Alex's Lemonade Stand Foundation Infant and Childhood Primary Brain and Central Nervous System Tumors Diagnosed in the United States in 2007-2011.

The CBTRUS Statistical Report: Alex's Lemonade Stand Foundation Infant and Childhood Primary Brain and Central Nervous System Tumors Diagnosed in the United States in 2007­2011 comprehensively describes the current population-based incidence of primary malignant and non-malignant brain and CNS tumors in children ages 0­14 years, collected and reported by central cancer registries covering approximately 99.8% of the United States population (for 2011 only, data were available for 50 out of 51 registries). Overall, brain and CNS tumors are the most common solid tumor, the most common cancer, and the most common cause of cancer death in infants and children 0­14 years. This report aims to serve as a useful resource for researchers, clinicians, patients, and families.

The descriptive epidemiology of atypical teratoid/rhabdoid tumors in the United States, 2001-2010.

BACKGROUND: Atypical teratoid/rhabdoid tumor is a rare malignant CNS tumor that most often affects children ≤ 3 years old. The Central Brain Tumor Registry of the United States contains the largest aggregation of population-based incidence data for primary CNS tumors in the US. Its data were used to describe the incidence, associated trends, and relative survival after diagnosis of atypical teratoid/rhabdoid tumor. METHODS: Using data from 50 cancer registries between 2001 and 2010, age-adjusted incidence rates per 100 000 and 95% CIs were calculated by sex, race, Hispanic ethnicity, age at diagnosis, and location of tumor in the CNS for children aged 0 to 19 years. Relative survival rates and 95% CIs were also calculated. RESULTS: The average annual age-adjusted incidence rate was 0.07 (95% CI: 0.07, 0.08). Incidence rates did not significantly vary by sex, race, or ethnicity. Age had a strong effect on incidence rate, with highest incidence among children <1 year, and decreasing incidence with increasing age. The 6-month, 1-year, and 5-year relative survival rates for all ages were 65.0%, 46.8%, and 28.3%, respectively. Atypical teratoid/rhabdoid tumor can occur anywhere in the CNS, but supratentorial tumors were more common with increasing age. CONCLUSION: We confirm differences in survival by age at diagnosis, treatment pattern, and location of tumor in the brain. This contributes to our understanding of these tumors and may stimulate research leading to improved treatment of this devastating childhood disease.

Descriptive epidemiology of pituitary tumors in the United States, 2004-2009.

OBJECT: Pituitary tumors are abnormal growths that develop in the pituitary gland. The Central Brain Tumor Registry of the United States (CBTRUS) contains the largest aggregation of population-based data on the incidence of primary CNS tumors in the US. These data were used to determine the incidence of tumors of the pituitary and associated trends between 2004 and 2009. METHODS: Using incidence data from 49 population-based state cancer registries, 2004-2009, age-adjusted incidence rates per 100,000 population for pituitary tumors with ICD-O-3 (International Classification of Diseases for Oncology, Third Edition) histology codes 8040, 8140, 8146, 8246, 8260, 8270, 8271, 8272, 8280, 8281, 8290, 8300, 8310, 8323, 9492 (site C75.1 only), and 9582 were calculated overall and by patient sex, race, Hispanic ethnicity, and age at diagnosis. Corresponding annual percent change (APC) scores and 95% confidence intervals were also calculated using Joinpoint to characterize trends in incidence rates over time. Diagnostic confirmation by subregion of the US was also examined. The overall annual incidence rate increased from 2.52 (95% CI 2.46-2.58) in 2004 to 3.13 (95% CI 3.07-3.20) in 2009. Associated time trend yielded an APC of 4.25% (95% CI 2.91%-5.61%). When stratifying by patient sex, the annual incidence rate increased from 2.42 (95% CI 2.33-2.50) to 2.94 (95% CI 2.85-3.03) in men and 2.70 (95% CI 2.62-2.79) to 3.40 (95% CI 3.31-3.49) in women, with APCs of 4.35% (95% CI 3.21%-5.51%) and 4.34% (95% CI 2.23%-6.49%), respectively. When stratifying by race, the annual incidence rate increased from 2.31 (95% CI 2.25-2.37) to 2.81 (95% CI 2.74-2.88) in whites, 3.99 (95% CI 3.77-4.23) to 5.31 (95% CI 5.06-5.56) in blacks, 1.77 (95% CI 1.26-2.42) to 2.52 (95% CI 1.96-3.19) in American Indians or Alaska Natives, and 1.86 (95% CI 1.62-2.13) to 2.03 (95% CI 1.80-2.28) in Asians or Pacific Islanders, with APCs of 3.91% (95% CI 2.88%-4.95%), 5.25% (95% CI 3.19%-7.36%), 5.31% (95% CI -0.11% to 11.03%), and 2.40% (95% CI -3.20% to 8.31%), respectively. When stratifying by Hispanic ethnicity, the annual incidence rate increased from 2.46 (95% CI 2.40-2.52) to 3.03 (95% CI 2.97-3.10) in non-Hispanics and 3.12 (95% CI 2.91-3.34) to 4.01 (95% CI 3.80-4.24) in Hispanics, with APCs of 4.15% (95% CI 2.67%-5.65%) and 5.01% (95% CI 4.42%-5.60%), respectively. When stratifying by age at diagnosis, the incidence of pituitary tumor was highest for those 65-74 years old and lowest for those 15-24 years old, with corresponding overall age-adjusted incidence rates of 6.39 (95% CI 6.24-6.54) and 1.56 (95% CI 1.51-1.61), respectively. CONCLUSIONS: In this large patient cohort, the incidence of pituitary tumors reported between 2004 and 2009 was found to increase. Possible explanations for this increase include changes in documentation, changes in the diagnosis and registration of these tumors, improved diagnostics, improved data collection, increased awareness of pituitary diseases among physicians and the public, longer life expectancies, and/or an actual increase in the incidence of these tumors in the US population.

Methylation markers of malignant potential in meningiomas.

OBJECT: Although most meningiomas are benign, about 20% are atypical (Grade II or III) and have increased mortality and morbidity. Identifying tumors with greater malignant potential can have significant clinical value. This validated genome-wide methylation study comparing Grade I with Grade II and III meningiomas aims to discover genes that are aberrantly methylated in atypical meningiomas. METHODS: Patients with newly diagnosed meningioma were identified as part of the Ohio Brain Tumor Study. The Infinium HumanMethylation27 BeadChip (Illumina, Inc.) was used to interrogate 27,578 CpG sites in 14,000 genes per sample for a discovery set of 33 samples (3 atypical). To verify the results, the Infinium HumanMethylation450 BeadChip (Illumina, Inc.) was used to interrogate 450,000 cytosines at CpG loci throughout the genome for a verification set containing 7 replicates (3 atypical), as well as 12 independent samples (6 atypical). A nonparametric Wilcoxon exact test was used to test for difference in methylation between benign and atypical meningiomas in both sets. Heat maps were generated for each set. Methylation results were validated for the 2 probes with the largest difference in methylation intensity by performing Western blot analysis on a set of 20 (10 atypical) samples, including 11 replicates. RESULTS: The discovery array identified 95 probes with differential methylation between benign and atypical meningiomas, creating 2 distinguishable groups corresponding to tumor grade when visually examined on a heat map. The validation array evaluated 87 different probes and showed that 9 probes were differentially methylated. On heat map examination the results of this array also suggested the existence of 2 major groups that corresponded to histological grade. IGF2BP1 and PDCD1, 2 proteins that can increase the malignant potential of tumors, were the 2 probes with the largest difference in intensity, and for both of these the atypical meningiomas had a decreased median production of protein, though this was not statistically significant (p = 0.970 for IGF2BP1 and p = 1 for PDCD1). CONCLUSIONS: A genome-wide methylation analysis of benign and atypical meningiomas identified 9 genes that were reliably differentially methylated, with the strongest difference in IGF2BP1 and PDCD1. The mechanism why increased methylation of these sites is associated with an aggressive phenotype is not evident. Future research may investigate this mechanism, as well as the utility of IGF2BP1 as a marker for pathogenicity in otherwise benign-appearing meningiomas.

Family history of cancer in benign brain tumor subtypes versus gliomas.

PURPOSE: Family history is associated with gliomas, but this association has not been established for benign brain tumors. Using information from newly diagnosed primary brain tumor patients, we describe patterns of family cancer histories in patients with benign brain tumors and compare those to patients with gliomas. METHODS: Newly diagnosed primary brain tumor patients were identified as part of the Ohio Brain Tumor Study. Each patient was asked to participate in a telephone interview about personal medical history, family history of cancer, and other exposures. Information was available from 33 acoustic neuroma (65%), 78 meningioma (65%), 49 pituitary adenoma (73.1%), and 152 glioma patients (58.2%). The association between family history of cancer and each subtype was compared with gliomas using unconditional logistic regression models generating odds ratios (ORs) and 95% confidence intervals. RESULTS: There was no significant difference in family history of cancer between patients with glioma and benign subtypes. CONCLUSION: The results suggest that benign brain tumor may have an association with family history of cancer. More studies are warranted to disentangle the potential genetic and/or environmental causes for these diseases.