Júlio Leonardo B. Pereira
Phone: (+1) 424-2301706
Linkedin:http://www.linkedin.com/in/juliommais
Site: www.neurocirurgiabr.com
Júlio Leonardo B. Pereira
Phone: (+1) 424-2301706
Linkedin:http://www.linkedin.com/in/juliommais
Site: www.neurocirurgiabr.com
Published online before print December 28, 2012, doi: 10.3174/ajnr.A3467
AJNR 2013 34: E10-E11
A. Guptaa
aDepartment of Radiology
Weill Cornell Medical College/New-York Presbyterian Hospital
New York, New York
A. Pragerb and R.J. Youngb
bDepartment of Radiology
W. Shic
cDepartment of Epidemiology and Biostatistics
A.M.P. Omurod
dDepartment of Neurology
Memorial Sloan-Kettering Cancer Center
New York, New York
J.J. Grabere
eDepartment of Neurology
Montefiore Medical Center
New York, New York
Methylation of the DNA repair enzyme O6-methylguanine-DNA-methyltransferase (MGMT) has been well described as one the most significant biomarkers of glioblastoma (GBM) patient prognosis and response to standard first-line chemotherapy treatment with temozolomide.1 As such, we read with great interest the recent study published in AJNR in May 2011 entitled "Apparent Diffusion Coefficient Histogram Analysis Stratifies Progression-Free Survival in Newly Diagnosed Bevacizumab-Treated Glioblastoma" by Dr. Pope and colleagues.2
A significant conclusion of this study was that "lower ADC is associated with tumor MGMT promoter methylation." This is a finding of significant interest to radiologists and oncologists alike as it suggests that ADC measures can potentially function as both a prognostic and predictive imaging biomarker and thereby act as a surrogate for the reference standard pathologic determination of MGMT methylation status. The authors arrived at this conclusion based on a pixel-by-pixel ADC histogram analysis with bi-modal curve fitting of enhancing tumor in 89 patients with GBM with pathologically confirmed methylation status. This analysis showed a mean ADC of 1071 × 10−6mm2/s for 36 methylated tumors versus 1183 × 10−6mm2/s for 53 unmethylated tumors, with a P value of .01 between the groups.
To assess the applicability of these findings to our own patients, we retrospectively performed blinded quantitative ADC measurements in 105 treatment naïve, preoperative patients with GBM with pathologically confirmed MGMT promoter methylation status determined through real-time methylation specific polymerase chain reaction. Our goal was to build on the work of Pope et al2 by using an ADC quantification technique readily available from a popular vendor and applicable to daily clinical practice. We performed region of interest analysis by using an off-line commercially available workstation (Advantage; GE Healthcare, Milwaukee, Wisconsin) and software (FuncTools 9.04b; GE Healthcare) to calculate quantititative ADC metrics. We drew ROIs around the contrast enhancing tumor and derived ADCmean, ADCmin, and ADCmax values. In addition, by using a validated and commonly used standardized technique,3,4 we manually placed 4 small circular ROIs (30–50 mm2) in the enhancing tumor to select the region of maximal ADC hypointensity and recorded this minimum value as ADCregion of interest. We also obtained ADCratios by dividing ADCregion of interest by ADCnormal with a region of interest placed in normal contralateral brain. Results after Wilcoxon rank-sum tests are summarized in the Table.
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Unlike Pope et al, 2 in our slightly larger series (n = 105 versus n = 89) by using more widely available postprocessing tools (ADC region of interest analysis on commercially available software versus ADC histogram analysis), we were not able to find a correlation between ADC values and MGMT promoter status (P values >.12). Although our divergent conclusions may in part be related to differences in methods, we suggest that the role of DWI and ADC quantification to predict glioblastoma prognosis and MGMT promoter status requires more investigation and validation before wide adoption into routine clinical practice.
The authors gratefully thank Drs. Akash D. Shah, Andrew D. Schweitzer, Jason Huse, and Zhigang Zhang for their contributions to this project.
W. Popea
aDepartment of Radiological Sciences
David Geffen School of Medicine at UCLA
Los Angeles, California
We agree that the differences in technique (2-curve histogram modeling versus minimum ADC region-of-interest analysis) may account for the discrepant conclusions, meriting further investigation in larger datasets.
In this phase II trial, we investigated the efficacy of a metronomic temozolomide schedule in the treatment of recurrent malignant gliomas (MGs).
MethodsEligible patients received daily temozolomide (50 mg/m2) continuously until progression. The primary endpoint was progression-free survival rate at 6 months in the glioblastoma cohort (N = 37). In an exploratory analysis, 10 additional recurrent grade III MG patients were enrolled. Correlative studies included evaluation of 76 frequent mutations in glioblastoma (iPLEX assay, Sequenom) aiming at establishing the frequency of potentially "drugable" mutations in patients entering recurrent MG clinical trials.
ResultsAmong glioblastoma patients, median age was 56 y; median Karnofsky Performance Score (KPS) was 80; 62% of patients had been treated for ≥2 recurrences, including 49% of patients having failed bevacizumab. Treatment was well tolerated; clinical benefit (complete response + partial response + stable disease) was seen in 10 (36%) patients. Progression-free survival rate at 6 months was 19% and median overall survival was 7 months. Patients with previous bevacizumab exposure survived significantly less than bevacizumab-naive patients (median overall survival: 4.3 mo vs 13 mo; hazard ratio = 3.2; P = .001), but those patients had lower KPS (P = .04) and higher number of recurrences (P < .0001). Mutations were found in 13 of the 38 MGs tested, including mutations of EGFR (N = 10), IDH1 (N = 5), and ERBB2 (N = 1).
ConclusionsIn spite of a heavily pretreated population, including nearly half of patients having failed bevacizumab, the primary endpoint was met, suggesting that this regimen deserves further investigation. Results in bevacizumab-naive patients seemed particularly favorable, while results in bevacizumab-failing patients highlight the need to develop further treatment strategies for advanced MG.
Clinical trials.gov identifierNCT00498927 (available at http://clinicaltrials.gov/ct2/show/NCT00498927)
Cancer patients and their oncologists often report differing perceptions of consultation discussions and discordant expectations regarding treatment outcomes. CONNECT, a computer-based communication aid, was developed to improve communication between patients and oncologists.
CONNECT includes assessment of patient values, goals, and communication preferences; patient communication skills training; and a preconsultation physician summary report. CONNECT was tested in a 3-arm, prospective, randomized clinical trial. Prior to the initial medical oncology consultation, adult patients with advanced cancer were randomized to the following arms: 1) control; 2) CONNECT with physician summary; or 3) CONNECT without physician summary. Outcomes were assessed with postconsultation surveys.
Of 743 patients randomized, 629 completed postconsultation surveys. Patients in the intervention arms (versus control) felt that the CONNECT program made treatment decisions easier to reach (P = .003) and helped them to be more satisfied with these decisions (P < .001). In addition, patients in the intervention arms reported higher levels of satisfaction with physician communication format (P = .026) and discussion regarding support services (P = .029) and quality of life concerns (P = .042). The physician summary did not impact outcomes. Patients with higher levels of education and poorer physical functioning experienced greater benefit from CONNECT.
This prospective randomized clinical trial demonstrates that computer-based communication skills training can positively affect patient satisfaction with communication and decision-making. Measurable patient characteristics may be used to identify subgroups most likely to benefit from an intervention such as CONNECT. Cancer 2013. © 2013 American Cancer Society.
Glioblastoma multiforme (GBM) is a highly invasive brain tumour that is unvaryingly fatal in humans despite even aggressive therapeutic approaches such as surgical resection followed by chemotherapy and radiotherapy. Unconventional treatment options such as gene therapy provide an intriguing option for curbing glioma related deaths. To date, gene therapy has yielded encouraging results in preclinical animal models as well as promising safety profiles in phase I clinical trials, but has failed to demonstrate significant therapeutic efficacy in phase III clinical trials. The most widely studied antiglioma gene therapy strategies are suicide gene therapy, genetic immunotherapy and oncolytic virotherapy, and we have attributed the challenging transition of these modalities into the clinic to four major roadblocks: (1) anatomical features of the central nervous system, (2) the host immune system, (3) heterogeneity and invasiveness of GBM and (4) limitations in current GBM animal models. In this review, we discuss possible ways to jump these hurdles and develop new gene therapies that may be used alone or in synergy with other modalities to provide a powerful treatment option for patients with GBM.
Glioblastoma multiforme (GBM) is a highly invasive brain tumour that is unvaryingly fatal in humans despite even aggressive therapeutic approaches such as surgical resection followed by chemotherapy and radiotherapy. Unconventional treatment options such as gene therapy provide an intriguing option for curbing glioma related deaths. To date, gene therapy has yielded encouraging results in preclinical animal models as well as promising safety profiles in phase I clinical trials, but has failed to demonstrate significant therapeutic efficacy in phase III clinical trials. The most widely studied antiglioma gene therapy strategies are suicide gene therapy, genetic immunotherapy and oncolytic virotherapy, and we have attributed the challenging transition of these modalities into the clinic to four major roadblocks: (1) anatomical features of the central nervous system, (2) the host immune system, (3) heterogeneity and invasiveness of GBM and (4) limitations in current GBM animal models. In this review, we discuss possible ways to jump these hurdles and develop new gene therapies that may be used alone or in synergy with other modalities to provide a powerful treatment option for patients with GBM.
Young age is a favorable prognostic factor for patients with glioblastoma multiforme (GBM). We reviewed the outcomes and molecular tumor characteristics of adolescent and young adult patients with GBM treated in 2 Austrian centers.
Patients and MethodsData on patients with histologically proven primary GBM diagnosed from 18 through 40 years of age were retrospectively analyzed. All patients were treated with standard first-line therapy. The primary end points were overall survival (OS) and time to progression (TTP). IDH1-R132H mutation status was analyzed using immunohistochemistry, and MGMT promoter methylation was assessed using methylation-specific polymerase chain reaction.
ResultsWe included 70 patients (36 men and 34 women) with a median age of 33 years. IDH1-R132H mutations were detected in 22 (39.3%) of 56 cases and MGMT promoter methylation in 33 (61.1%) of 54 cases with available tissue samples. In patients with wild-type IDH, median TTP was 8.2 months and median OS was 24 months, compared with 18 months and 44 months, respectively, observed in patients with mutated IDH. Neither IDH1 nor MGMT status showed a statistically significant association with TTP or OS. Of note, the social and economical situation of the young patients with GBM was alarming, because only 17% succeeded in staying employed after receiving the diagnosis.
ConclusionsWe found a high frequency of IDH1 mutations and MGMT promoter methylation among young adult patients with primary GBM that may contribute to the generally favorable outcome associated with young age. The social and economic coverage of patients with glioma remains an unsolved socio-ethical problem.
No depression screening tool is validated for use in cases of cerebral glioma. To address this, we studied the operating characteristics of the Hospital Anxiety and Depression Scale (Depression subscale) (HAD-D), the Patient Health Questionnaire–9 (PHQ-9), and the Distress Thermometer (DT) in glioma patients.We conducted a twin-center prospective observational cohort study of major depressive disorder (MDD), according to the Diagnostic and Statistical Manual, 4th edition, in adults with a new diagnosis of cerebral glioma receiving active management or "watchful waiting." At each of 3 interviews over a 6-month period, patients completed the screening questionnaires and received a structured clinical interview to diagnose MDD. Internal consistency, area under the receiver operating characteristics curve (AUC), sensitivity, specificity, positive predictive value, and positive likelihood ratio were calculated. A maximum of 154 patients completed the DT, 133 completed the HAD-D, and 129 completed the PHQ-9. The HAD-D and PHQ-9 showed good internal consistency (α ≥ 0.77 at all timepoints). Median AUCs were 0.931 ± 0.074 for the HAD-D and 0.915 ± 0.055 for the PHQ-9. The optimal threshold was 7+ for the HAD-D, but 8+ had similar operating characteristics. There was no consistently optimal PHQ-9 threshold, but 10+ was optimal in the largest sample. The DT was inferior to the multi-item instruments. Clinicians can screen for depression in well-functioning glioma patients using the HAD-D at the existing recommended lower threshold of 8+, or the PHQ-9 at a threshold of 10+. Due to a modest positive predictive value of either instrument, patients scoring above these thresholds need a clinical assessment to diagnose or exclude depression.
The purpose of the trial was to determine the survival and incidence of secondary tumors in children with medulloblastoma receiving radiotherapy plus chemotherapy. Three hundred seventy-nine eligible patients with nondisseminated medulloblastoma between the ages of 3 and 21 years were treated with 2340 cGy of craniospinal and 5580 cGy of posterior fossa irradiation. Patients were randomized between postradiation cisplatin and vincristine plus either CCNU or cyclophosphamide. Survival, pattern of relapse, and occurrence of secondary tumors were assessed. Five- and 10-year event-free survivals were 81 ± 2% and 75.8 ± 2.3%; overall survivals were 87 ± 1.8% and 81.3 ± 2.1%. Event-free survival was not impacted by chemotherapeutic regimen, sex, race, age at diagnosis, or gender. Seven patients had disease relapse beyond 5 years after diagnosis; relapse was local in 4 patients, local plus supratentorial in 2, and supratentorial alone in 1. Fifteen patients experienced secondary tumors as a first event at a median time of 5.8 years after diagnosis (11 >5 y postdiagnosis). All non-CNS solid secondary tumors (4) occurred in regions that had received radiation. Of the 6 high-grade gliomas, 5 occurred >5 years postdiagnosis. The estimated cumulative 10-year incidence rate of secondary malignancies was 4.2% (1.9%–6.5%). Few patients with medulloblastoma will relapse ≥5 years postdiagnosis; relapse will occur predominantly at the primary tumor site. Patients are at risk for development of secondary tumors, many of which are malignant gliomas. This may become an increasing issue as more children survive.
The subventricular zone (SVZ) lines the lateral ventricles and represents the origin of neural and some cancer stem cells. Tumors contacting the SVZ may be more invasive with higher potential to recruit migratory progenitor cells. Our specific aim was to determine whether SVZ involvement in glioblastoma multiforme (GBM) is associated with a higher recurrence rate and shorter overall survival. MR imaging and clinical data from 91 patients with GBM treated at our institution were retrospectively reviewed. Tumors were classified as type I if the contrast-enhancing lesion contacted both the SVZ and cortex on pre-operative MRI, type II if only the SVZ was involved, type III if only cortex was involved, and type IV if the lesion did not contact either the SVZ or cortex. Progression-free survival (PFS) and overall survival were estimated based on Kaplan-Meier calculations. When comparing type I tumors with types II-IV, only 39% of patients with type I tumors were free of recurrence and alive at 6 months, significantly fewer than for all other types combined (67%; P = .01). PFS at 6 months was also less, at only 47% among patients with SVZ-positive tumors, compared with 69% in the SVZ-negative group (P = .002). Patients with SVZ involvement also demonstrated a more rapid time to progression, compared with those not involving the SVZ (P = .003). Patients with GBM involving the SVZ have decreased overall survival and PFS, which may have prognostic and therapeutic implications.
Pilocytic astrocytoma (PA) is a World Health Organization grade I glioma that occurs most commonly in children and young adults. Specific genetic alterations have been described in PA, but the pathogenesis remains poorly understood. We studied microRNA (miRNA) alterations in a large cohort of patients with PA. A total of 43 PA, including 35 sporadic grade I PA, 4 neurofibromatosis-1 (NF1)–associated PA, and 4 PA with pilomyxoid features, as well as 5 nonneoplastic brain controls were examined. BRAF fusion status was assessed in most cases. RNA was examined using the Agilent Human miRNA Microarray V3 platform. Expression of miRNA subsets was validated using quantitative real-time PCR (qRT-PCR) with Taqman probes. Validation of predicted protein targets was performed on tissue microarrays with the use of immunohistochemistry. We identified a subset of miRNAs that were differentially expressed in pediatric PAs versus normal brain tissue: 13 miRNAs were underexpressed, and 20 miRNAs were overexpressed in tumors. Differences were validated by qRT-PCR in a subset, with mean fold change in tumor versus brain of -17 (miR-124), -15 (miR-129), and 19.8 (miR-21). Searching for predicted protein targets in Targetscan, we identified a number of known and putative oncogenes that were predicted targets of miRNA sets relatively underexpressed in PA. Predicted targets with increased expression at the mRNA and/or protein level in PA included PBX3, METAP2, and NFIB. A unique miRNA profile exists in PA, compared with brain tissue. These miRNAs and their targets may play a role in the pathogenesis of PA.
The individualized care of glioma patients ought to benefit from imaging biomarkers as precocious predictors of therapeutic efficacy. Contrast enhanced MRI and [18F]-fluorodeoxyglucose (FDG)–PET are routinely used in clinical settings; their ability to forecast the therapeutic response is controversial. The objectives of our preclinical study were to analyze sensitive µMRI and/or µPET imaging biomarkers to predict the efficacy of anti-angiogenic and/or chemotherapeutic regimens. Human U87 and U251 orthotopic glioma models were implanted in nude rats. Temozolomide and/or bevacizumab were administered. µMRI (anatomical, diffusion, and microrheological parameters) and µPET ([18F]-FDG and [18F]-fluoro-l-thymidine [FLT]–PET) studies were undertaken soon (t1) after treatment initiation compared with late anatomical µMRI evaluation of tumor volume (t2) and overall survival. In both models, FDG and FLT uptakes were attenuated at t1 in response to temozolomide alone or with bevacizumab. The distribution of FLT, reflecting intratumoral heterogeneity, was also modified. FDG was less predictive for treatment efficacy than was FLT (also highly correlated with outcome, P < .001 for both models). Cerebral blood volume was significantly decreased by temozolomide + bevacizumab and was correlated with survival for rats with U87 implants. While FLT was highly predictive of treatment efficacy, a combination of imaging biomarkers was superior to any one alone (P < .0001 in both tumors with outcome). Our results indicate that FLT is a sensitive predictor of treatment efficacy and that predictability is enhanced by a combination of imaging biomarkers. These findings may translate clinically in that individualized glioma treatments could be decided in given patients after PET/MRI examinations.
Newly diagnosed glioblastoma is now commonly treated with surgery, if feasible, or biopsy, followed by radiation plus concomitant and adjuvant temozolomide. The treatment of recurrent glioblastoma continues to be a moving target as new therapeutic principles enrich the standards of care for newly diagnosed disease. We reviewed PubMed and American Society of Clinical Oncology abstracts from January 2006 to January 2012 to identify clinical trials investigating the treatment of recurrent or progressive glioblastoma with nitrosoureas, temozolomide, bevacizumab, and/or combinations of these agents. At recurrence, a minority of patients are eligible for second surgery or reirradiation, based on appropriate patient selection. In temozolomide-pretreated patients, progression-free survival rates at 6 months of 20%–30% may be achieved either with nitrosoureas, temozolomide in various dosing regimens, or bevacizumab. Combination regimens among these agents or with other drugs have not produced evidence for superior activity but commonly produce more toxicity. More research is needed to better define patient profiles that predict benefit from the limited therapeutic options available after the current standard of care has failed.