Rose Lai

Rituximab, Methotrexate, Procarbazine, and Vincristine Followed by Consolidation Reduced-Dose Whole-Brain Radiotherapy and Cytarabine in Newly Diagnosed Primary CNS Lymphoma: Final Results and Long-Term Outcome

PURPOSE A multicenter phase II study was conducted to assess the efficacy of rituximab, methotrexate, procarbazine, and vincristine (R-MPV) followed by consolidation reduced-dose whole-brain radiotherapy (rdWBRT) and cytarabine in primary CNS lymphoma. PATIENTS AND METHODS Patients received induction chemotherapy with R-MPV (five to seven cycles); those achieving a complete response (CR) received rdWBRT (23.4 Gy), and otherwise, standard WBRT was offered (45 Gy). Consolidation cytarabine was given after the radiotherapy. The primary end point was 2-year progression-free survival (PFS) in patients receiving rdWBRT. Exploratory end points included prospective neuropsychological evaluation, analysis of magnetic resonance imaging (MRI) white matter changes using the Fazekas scale, and evaluation of the apparent diffusion coefficient (ADC) as a prognostic factor. RESULTS Fifty-two patients were enrolled, with median age of 60 years (range, 30 to 79 years) and median Karnofsky performance score of 70 (range, 50 to 100). Thirty-one patients (60%) achieved a CR after R-MPV and received rdWBRT. The 2-year PFS for this group was 77%; median PFS was 7.7 years. Median overall survival (OS) was not reached (median follow-up for survivors, 5.9 years); 3-year OS was 87%. The overall (N = 52) median PFS was 3.3 years, and median OS was 6.6 years. Cognitive assessment showed improvement in executive function (P < .01) and verbal memory (P < .05) after chemotherapy, and follow-up scores remained relatively stable across the various domains (n = 12). All examined MRIs (n = 28) displayed a Fazekas score of ≤ 3, and no patient developed scores of 4 to 5; differences in ADC values did not predict response (P = .15), PFS (P = .27), or OS (P = .33). CONCLUSION R-MPV combined with consolidation rdWBRT and cytarabine is associated with high response rates, long-term disease control, and minimal neurotoxicity.

Treatment-induced leukoencephalopathy in primary CNS lymphoma A clinical and autopsy study

Background: Treatment-related leukoencephalopathy is the leading toxicity after successful treatment of primary CNS lymphoma (PCNSL). Its mechanism is poorly understood and there are no autopsy data available on such patients. Methods: From a database of immunocompetent patients with PCNSL diagnosed between 1985 and 2001, the authors identified five autopsied patients who died of leukoencephalopathy. The authors reviewed their clinical records, MRI, and autopsy findings. Results: The median age was 74 years (range 41 to 79) at PCNSL diagnosis. Symptoms of neurotoxicity developed a median of 1 month after treatment completion, and median survival was 30 months (range 22 to 68 months) after neurotoxicity onset. All had white matter hyperintensity on T2-weighted MRI, and two developed enhancing lesions 5 and 14 months following completion of treatment. At autopsy no PCNSL was identified. Myelin and axonal loss, gliosis, pallor, spongiosis, and rarefaction of the white matter were found in all; two patients had tissue necrosis that correlated with the enhancement on MRI, and one had fibrinoid necrosis of vessels. Four of the five patients had atherosclerosis of large cerebral vessels in the circle of Willis and all had small vessel disease; two had recent strokes at autopsy. Conclusions: Treatment-induced leukoencephalopathy is not a late delayed consequence of neurotoxic treatment but can be seen very early in some patients. Vascular disease may be a component of this white matter injury.

Primary CNS lymphoma A whole-brain disease?

Background: Autopsy studies reveal that most primary CNS lymphomas (PCNSL) extensively infiltrate the brain. To date, there has been no correlation of autopsy findings with a modern neuroimaging assessment of tumor burden. Objective: To correlate autopsy findings in PCNSL to MRI findings. Method: From the authors’ database of immunocompetent patients with PCNSL diagnosed between 1985 and 2001, 10 patients who died and had PCNSL at autopsy were identified. Their pathology was compared to MR scans obtained shortly before death. Results: The median patient age was 60 years (range 44 to 80 years). There were six men and four women. Scans were performed within 4 weeks of death in seven patients, within 3 months in two patients, and within 4 months in one. Seven had enhancing lesions consistent with recurrence, and two of the three had focal T2 abnormalities. All had periventricular white matter abnormalities on T2 MR images. At autopsy, all 10 patients had widespread lymphoma throughout the CNS, but no tumor was found systemically. All had tumor infiltration in CNS regions that were normal radiographically, including T2 sequences. Conclusions: MRI underestimates the tumor burden of PCNSL. Bulky disease is seen as a contrast-enhancing lesion because of disruption of the blood–brain barrier, but microscopic tumor infiltration may lead to T2 hyperintensity or be completely normal radiographically.

Germline mutations in shelterin complex genes are associated with familial glioma

Gliomas are the most common brain tumor, with several histological subtypes of various malignancy grade. The genetic contribution to familial glioma is not well understood. Using whole exome sequencing of 90 individuals from 55 families, we identified two families with mutations in POT1 (p.G95C, p.E450X), a member of the telomere shelterin complex, shared by both affected individuals in each family and predicted to impact DNA binding and TPP1 binding, respectively. Validation in a separate cohort of 264 individuals from 246 families identified an additional mutation in POT1 (p.D617Efs), also predicted to disrupt TPP1 binding. All families with POT1 mutations had affected members with oligodendroglioma, a specific subtype of glioma more sensitive to irradiation. These findings are important for understanding the origin of glioma and could have importance for the future diagnostics and treatment of glioma.

Circular RNA profile in gliomas revealed by identification tool UROBORUS.

Recent evidence suggests that many endogenous circular RNAs (circRNAs) may play roles in biological processes. However, the expression patterns and functions of circRNAs in human diseases are not well understood. Computationally identifying circRNAs from total RNA-seq data is a primary step in studying their expression pattern and biological roles. In this work, we have developed a computational pipeline named UROBORUS to detect circRNAs in total RNA-seq data. By applying UROBORUS to RNA-seq data from 46 gliomas and normal brain samples, we detected thousands of circRNAs supported by at least two read counts, followed by successful experimental validation on 24 circRNAs from the randomly selected 27 circRNAs. UROBORUS is an efficient tool that can detect circRNAs with low expression levels in total RNA-seq without RNase R treatment. The circRNAs expression profiling revealed more than 476 circular RNAs differentially expressed in control brain tissues and gliomas. Together with parental gene expression, we found that circRNA and its parental gene have diversified expression patterns in gliomas and control brain tissues. This study establishes an efficient and sensitive approach for predicting circRNAs using total RNA-seq data. The UROBORUS pipeline can be accessed freely for non-commercial purposes at http://uroborus.openbioinformatics.org/.

Quality of Randomized Controlled Trials Reporting in the Primary Treatment of Brain Tumors

PURPOSE To assess the reporting quality of randomized controlled trials (RCTs) in the primary treatment of brain tumors and to identify significant predictors of quality. PATIENTS AND METHODS Two investigators searched MEDLINE, EMBASE, and bibliographies of retrieved articles for RCTs in the primary treatment of brain tumors published between January 1990 and December 2004. We assessed the quality of overall reporting and key methodologic factors reporting (allocation concealment, blinding, and intention to treat [ITT]). Two investigators also rated articles independently using items from the revised Consolidated Standards of Reporting Trials statement. A generalized estimated equation was used to generate regression models that identified significant factors associated with quality of reporting. RESULTS We retrieved 74 relevant RCTs that randomly assigned 14,498 brain tumor patients. The quality of overall reporting has improved during the last 15 years, but eight of the 15 methodologic items were reported in less than 50% of trials. In the appraisal of the reporting quality of key methodologies, allocation concealment, blinding, and adherence to the ITT principle were reported in less than 30% of articles. Multivariable regression models revealed that an impact factor more than 1.66, publication after 1995, and sample size more than 280 were significant factors associated with better overall reporting, whereas complete industrial funding, impact factors more than 2.64, and positive primary outcomes were predictors of higher ratings of the three most important methodologic qualities. CONCLUSION Despite improvement in general reporting quality, key methodologies that safeguard against biases may still benefit from better description. Significant factors associated with better reporting may act as surrogates for other characteristics.

GLIOGENE—an International Consortium to Understand Familial Glioma

Evidence for familial aggregation of glioma has been documented in both case-control and cohort studies and occurs apart from the well-described rare inherited genetic syndromes involving glioma: neurofibromatosis type 1 and 2, tuberous sclerosis, Turcots syndrome, and Li-Fraumeni syndrome. Nonsyndromic glioma families have been studied but no genes have been identified in the two published linkage studies of familial glioma probably due to the small number of families. Because glioma is a rare but devastating cancer, and a family history of glioma has been observed in ∼5% of the cases, we initiated an international consortium to identify glioma families not affected by syndromes to better understand the inherited factors related to this disease. The international consortium GLIOGENE is an acronym for “glioma gene” and includes 15 research groups in North America, Europe, and Israel to study familial glioma. The overarching goal is to characterize genes in glioma families using a genome-wide single-nucleotide polymorphism approach and conducting linkage analysis to identify new genomic regions or loci that could harbor genes important for gliomagenesis. Here, we review the rationale for studying familial glioma and our proposed strategy for the GLIOGENE study. (Cancer Epidemiol Biomarkers Prev 2007;16(9):1730–4)

Genetic polymorphisms of glutathione S-transferases and the risk of adult brain tumors: a meta-analysis.

Background: Studies investigating the association between genetic polymorphisms of glutathione S-transferases (GST) and risk of adult brain tumors have reported conflicting results. The rationale of this meta-analysis was to determine whether GST variants increase the susceptibility of adult brain tumors by pooling data. Methods: Two investigators independently searched the HuGENet database, MEDLINE, EMBASE, conference articles, and manually reviewed bibliographies of retrieved articles. Papers were included if they were observational studies investigating the influence of GSTM1, GSTT1, GSTP1 I105V, or GSTP1 A114V on the development of adult brain cancers. Potential sources of heterogeneity between studies were explored in a meta-regression. Results: We identified eight eligible studies, which included 1,630 cases of glioma, 245 cases of meningioma, and 7,151 controls. Using the random effects model, there was no association between any of the GST variants and the risk of glioma [overall odds ratio (OR), 1.08; 95% confidence interval (95% CI), 0.95-1.22]. Subgroup analyses also showed no relationship between GST variants and histopathologic groups; the overall ORs were 1.13 (95% CI, 0.88-1.43) for high-grade glioma and 1.08 (95% CI, 0.76-1.55) for low-grade glioma. A random effects meta-regression suggested that the use of in-hospital controls produced larger effect estimates in glioma than the use of population controls (overall OR, 1.30; 95% CI, 1.03-1.65). The T1 null genotype was significantly associated with a risk of meningioma (OR, 1.95; 95% CI, 1.02-3.76), but the M1 variant was not. Conclusion: This study did not suggest any relationship between GST variants and risks of glioma; the T1 null genotype may influence the susceptibility of meningioma, but larger studies are needed to substantiate this relationship.

Survival of Patients With Adult Medulloblastoma : A Population-based Study

Adult medulloblastoma accounts for less than 1% of adult intracranial tumors. Previous survival studies have been inconclusive because of small sample sizes and patient ascertainment bias.

Genome-wide association study of glioma subtypes identifies specific differences in genetic susceptibility to glioblastoma and non-glioblastoma tumors.

Genome-wide association studies (GWAS) have transformed our understanding of glioma susceptibility, but individual studies have had limited power to identify risk loci. We performed a meta-analysis of existing GWAS and two new GWAS, which totaled 12,496 cases and 18,190 controls. We identified five new loci for glioblastoma (GBM) at 1p31.3 (rs12752552; P = 2.04 × 10−9, odds ratio (OR) = 1.22), 11q14.1 (rs11233250; P = 9.95 × 10−10, OR = 1.24), 16p13.3 (rs2562152; P = 1.93 × 10−8, OR = 1.21), 16q12.1 (rs10852606; P = 1.29 × 10−11, OR = 1.18) and 22q13.1 (rs2235573; P = 1.76 × 10−10, OR = 1.15), as well as eight loci for non-GBM tumors at 1q32.1 (rs4252707; P = 3.34 × 10−9, OR = 1.19), 1q44 (rs12076373; P = 2.63 × 10−10, OR = 1.23), 2q33.3 (rs7572263; P = 2.18 × 10−10, OR = 1.20), 3p14.1 (rs11706832; P = 7.66 × 10−9, OR = 1.15), 10q24.33 (rs11598018; P = 3.39 × 10−8, OR = 1.14), 11q21 (rs7107785; P = 3.87 × 10−10, OR = 1.16), 14q12 (rs10131032; P = 5.07 × 10−11, OR = 1.33) and 16p13.3 (rs3751667; P = 2.61 × 10−9, OR = 1.18). These data substantiate that genetic susceptibility to GBM and non-GBM tumors are highly distinct, which likely reflects different etiology.