Phase 2 Study of Sorafenib, Valproic Acid, and Sildenafil in the Treatment of Recurrent High-Grade Glioma.

Here we report the results of a single-center phase 2 clinical trial combining sorafenib tosylate, valproic acid, and sildenafil for the treatment of patients with recurrent high-grade glioma (NCT01817751). Clinical toxicities were grade 1 and grade 2, with one grade 3 toxicity for maculopapular rash (6.4%). For all evaluable patients, the median progression-free survival was 3.65 months and overall survival (OS) 10.0 months. There was promising evidence showing clinical activity and benefit. In the 33 evaluable patients, low protein levels of the chaperone GRP78 (HSPA5) was significantly associated with a better OS (p < 0.0026). A correlation between the expression of PDGFRα and OS approached significance (p < 0.0728). Five patients presently have a mean OS of 73.6 months and remain alive. This is the first therapeutic intervention glioblastoma trial to significantly associate GRP78 expression to OS. Our data suggest that the combination of sorafenib tosylate, valproic acid, and sildenafil requires additional clinical development in the recurrent glioma population.

Disease-Based Prognostication: Neuro-Oncology.

Primary malignant and non-malignant brain and other central nervous system (CNS) tumors, while relatively rare, are a disproportionate source of morbidity and mortality. Here we provide a brief overview of approaches to modeling important clinical outcomes, such as overall survival, that are critical for clinical care. Because there are a large number of histologically distinct types of primary malignant and non-malignant brain and other CNS tumors, this chapter will provide an overview of prognostication considerations on the most common primary non-malignant brain tumor, meningioma, and the most common primary malignant brain tumor, glioblastoma. In addition, information on nomograms and how they can be used as individualized prognostication tools by clinicians to counsel patients and their families regarding treatment, follow-up, and prognosis is described. The current state of nomograms for meningiomas and glioblastomas are also provided.

tRNA Function and Dysregulation in Cancer.

Transfer RNA (tRNA) is a central component of protein synthesis and plays important roles in epigenetic regulation of gene expression in tumors. tRNAs are also involved in many cell processes including cell proliferation, cell signaling pathways and stress response, implicating a role in tumorigenesis and cancer progression. The complex role of tRNA in cell regulation implies that an understanding of tRNA function and dysregulation can be used to develop treatments for many cancers including breast cancer, colon cancer, and glioblastoma. Moreover, tRNA modifications including methylation are necessary for tRNA folding, stability, and function. In response to certain stress conditions, tRNAs can be cleaved in half to form tiRNAs, or even shorter tRNA fragments (tRF). tRNA structure and modifications, tiRNA induction of stress granule formation, and tRF regulation of gene expression through the repression of translation can all impact a cell's fate. This review focuses on how these functions of tRNAs, tiRNA, and tRFs can lead to tumor development and progression. Further studies focusing on the specific pathways of tRNA regulation could help identify tRNA biomarkers and therapeutic targets, which might prevent and treat cancers.

Working memory training for adult glioma patients: a proof-of-concept study.

BACKGROUND: CogMed Working Memory Training (CWMT) is a computer-based program shown to improve working memory (WM) among those with cognitive impairments. No study to date has investigated its feasibility, acceptability, and satisfaction in adult patients with glioma, despite the well-documented incidence of WM impairment in this population. METHODS: Twenty patients with glioma and objective and/or perceived WM deficits enrolled in the study: 52% high-grade, 60% female, Mage = 47 (range = 21-72 years). Adverse events were monitored to determine safety. Feasibility and acceptability were assessed based on established metrics. Satisfaction was explored by exit-interviews. Neurocognitive tests and psychological symptoms were analyzed at baseline and post-CWMT to estimate effect sizes. RESULTS: Of 20 enrolled patients, 16 completed the intervention (80% retention rate). Reasons for withdrawal included time burden (n = 2); tumor-related fatigue (n = 1) or loss to follow-up (n = 1). No adverse events were determined to be study-related. Adherence was 69% with reasons for nonadherence similar to those for study withdrawal. The perceived degree of benefit was only moderate. Baseline to post-CWMT assessments showed medium to large effects on neurocognitive tasks. Psychological symptoms remained stable throughout the study period. CONCLUSIONS: CWMT was found to be safe and acceptable in adult patients with glioma. Enrollment, retention rates, and treatment adherence were all adequate and comparable to studies recruiting similar populations. Only moderate perceived benefit was reported despite demonstrated improvements in objectively-assessed WM. This may indicate that the time commitment and intervention intensity (5 weeks of 50-min training sessions on 5 days/week) outweighed the perceived benefits of the program. (Trial Registration Number: NCT03323450 registered on 10/27/2017).

Anti-N-Methyl-D-Aspartate Receptor Encephalitis: A Review and Neuropsychological Case Study.

OBJECTIVE: Anti-N-Methyl-d-Aspartate Receptor (NMDAR) Encephalitis is an autoimmune-mediated encephalitis, which may be associated with a tumor, which occurs when antibodies bind central NMDA receptors. Although typically diagnosed in women, approximately 20% of cases have been males. Due to the challenges with identification, imaging, and diverse symptom presentation, this syndrome is often misdiagnosed. Accurate diagnosis may provide an opportunity for introduction of disease-modifying therapies, which may alter disease trajectory. Moreover, neuropsychology has yet to fully clarify the pattern of impairments expected with this disorder. METHODS: This manuscript reviews a single case study of a 42-year-old male diagnosed with NMDAR encephalitis. Neuropsychological evaluation was completed subsequent to diagnosis, treatment, and rehabilitation. Ongoing patient complaints, approximately six months post diagnosis, included reduced sustained attention, poor word retrieval, and daily forgetfulness. Adaptive skills were improved following rehabilitation. RESULTS: Direct testing revealed mildly impaired sustained attention, processing speed, oral word fluency, and executive functioning. All other cognitive domains were within estimated premorbid range, low average to average. CONCLUSIONS: Neuropsychological deficits were consistent with mild frontal brain dysfunction and continued recovery. This case illustrates the need for medical and psychological practitioners to understand NMDAR encephalitis, its symptom presentation, and related neuropsychological impact; particularly with the potential for misdiagnosis.

Precise ex vivo histological validation of heightened cellularity and diffusion-restricted necrosis in regions of dark apparent diffusion coefficient in 7 cases of high-grade glioma.

BACKGROUND: Recent conflicting reports have found both brain tumor hypercellularity and necrosis in regions of restricted diffusion on MRI-derived apparent diffusion coefficient (ADC) images. This study precisely compares ADC and cell density voxel by voxel using postmortem human whole brain samples. METHODS: Patients with meningioma were evaluated to determine a normative ADC distribution within benign fluid attenuated inversion recovery (FLAIR) T2/hyperintensity surrounding tumor. This distribution was used to calculate a minimum ADC threshold to define regions of ADC-FLAIR mismatch (AFMM), where restricted diffusion presented in conjunction with T2/FLAIR hyperintensity. Contrast-enhancing voxels were excluded from this analysis. AFMM maps were generated using imaging acquired prior to death in 7 patients with high-grade glioma who eventually donated their brains upon death. Histological samples were taken from numerous regions of abnormal FLAIR and AFMM. Each sample was computationally processed to determine cell density. Custom software was then used to downsample coregistered microscopic histology to the more coarse MRI resolution. A voxel-by-voxel evaluation comparing ADC and cellularity was then performed. RESULTS: An ADC threshold of 0.929 × 10(-3) mm(2)/s was calculated from meningioma-induced edema and was used to define AFMM. Regions of AFMM showed significantly greater cell density in 6 of 7 high-grade glioma cases compared with regions of hyperintense FLAIR alone (P < .0001). Two patients had small regions of diffusion-restricted necrosis that had significantly lower ADC than nearby hypercellularity. CONCLUSIONS: Regions of AFMM contain hypercellularity except for regions with extremely restricted diffusion, where necrosis is present.

Comprehensive characterization of glioblastoma tumor tissues for biomarker identification using mass spectrometry-based label-free quantitative proteomics.

Cancer is a complex disease; glioblastoma (GBM) is no exception. Short survival, poor prognosis, and very limited treatment options make it imperative to unravel the disease pathophysiology. The critically important identification of proteins that mediate various cellular events during disease is made possible with advancements in mass spectrometry (MS)-based proteomics. The objective of our study is to identify and characterize proteins that are differentially expressed in GBM to better understand their interactions and functions that lead to the disease condition. Further identification of upstream regulators will provide new potential therapeutic targets. We analyzed GBM tumors by SDS-PAGE fractionation with internal DNA markers followed by liquid chromatography-tandem mass spectrometry (MS). Brain tissue specimens obtained for clinical purposes during epilepsy surgeries were used as controls, and the quantification of MS data was performed by label-free spectral counting. The differentially expressed proteins were further characterized by Ingenuity Pathway Analysis (IPA) to identify protein interactions, functions, and upstream regulators. Our study identified several important proteins that are involved in GBM progression. The IPA revealed glioma activation with z score 2.236 during unbiased core analysis. Upstream regulators STAT3 and SP1 were activated and CTNNα was inhibited. We verified overexpression of several proteins by immunoblot to complement the MS data. This work represents an important step towards the identification of GBM biomarkers, which could open avenues to identify therapeutic targets for better treatment of GBM patients. The workflow developed represents a powerful and efficient method to identify biomarkers in GBM.

Dynamic-susceptibility contrast agent MRI measures of relative cerebral blood volume predict response to bevacizumab in recurrent high-grade glioma.

BACKGROUND: The anti-VEGF antibody, bevacizumab, is standard treatment for patients with recurrent glioblastoma. In this setting, traditional anatomic MRI methods such as post-contrast T1-weighted and T2-weighted imaging are proving unreliable for monitoring response. Here we evaluate the prognostic significance of pre- and posttreatment relative cerebral blood volume (rCBV) derived from dynamic susceptibility contrast MRI to predict response to bevacizumab. METHODS: Thirty-six participants with recurrent high-grade gliomas who underwent rCBV imaging 60 days before and 20-60 days after starting bevacizumab treatment were enrolled. Tumor regions of interest (ROIs) were determined from deltaT1 maps computed from the difference between standardized post and precontrast T1-weighted images. Both pre- and posttreatment rCBV maps were corrected for leakage and standardized (stdRCBV) to a consistent intensity scale. The Kaplan-Meier method was used to determine if either the pre- or post-bevacizumab stdRCBV within the tumor ROI was predictive of overall survival (OS) or progression free survival (PFS). RESULTS: The OS was significantly longer if either the pre- (380d vs 175d; P=.0024) or posttreatment stdRCBV (340d vs 186d; P = .0065) was <4400. The posttreatment stdRCBV was also predictive of PFS (167d vs 78d; P = .0006). When the stdRCBV values were both above versus both below threshold, the OS was significantly worse (100.5d vs 395d; P < .0001). With a 32.5% decrease in stdRCBV, the risk of death was reduced by about 68% but increased by 140% with a 29% increase in stdRCBV. CONCLUSIONS: Standardized rCBV is predictive of OS and PFS in patients with recurrent high-grade brain tumor treated with bevacizumab.

Effects of perfusion on diffusion changes in human brain tumors.

PURPOSE: To characterize the influence of perfusion on the measurement of diffusion changes over time when ADC is computed using standard two-point methods. MATERIALS AND METHODS: Functional diffusion maps (FDMs), which depict changes in diffusion over time, were compared with rCBV changes in patients with brain tumors. The FDMs were created by coregistering and subtracting ADC maps from two time points and categorizing voxels where ADC significantly increased (iADC), decreased (dADC), or did not change (ncADC). Traditional FDMs (tFDMs) were computed using b = 0,1000 s/mm(2). Flow-compensated FDMs (fcFDMs) were calculated using b = 500,1000 s/mm(2). Perfusion's influence on FDMs was determined by evaluating changes in rCBV in areas where the ADC change significantly differed between the two FDMs. RESULTS: The mean ΔrCBV in voxels that changed from iADC (dADC) on the tFDM to ncADC on the fcFDM was significantly greater (less) than zero. In addition, mean ΔrCBV in iADC (dADC) voxels on the tFDM was significantly higher (lower) than in iADC (dADC) voxels on the fcFDM. CONCLUSION: The ability to accurately identify changes in diffusion on traditional FDMs is confounded in areas where perfusion and diffusion changes are colocalized. Flow-compensated FDMs, which use only non-zero b-values, should therefore be the standard approach.

Vascular change measured with independent component analysis of dynamic susceptibility contrast MRI predicts bevacizumab response in high-grade glioma.

BACKGROUND: Standard pre- and postcontrast (T1 + C) anatomical MR imaging is proving to be insufficient for accurately monitoring bevacizumab treatment response in recurrent glioblastoma (GBM). We present a novel imaging biomarker that detects abnormal tumor vasculature exhibiting both arterial and venous perfusion characteristics. We hypothesized that a decrease in the extent of this abnormal vasculature after bevacizumab treatment would predict treatment efficacy and overall survival. METHODS: Dynamic susceptibility contrast perfusion MRI was gathered in 43 patients with high-grade glioma. Independent component analysis separated vasculature into arterial and venous components. Voxels with perfusion characteristics of both arteries and veins (ie, arterio-venous overlap [AVOL]) were measured in patients with de novo untreated GBM and patients with recurrent high-grade glioma before and after bevacizumab treatment. Treated patients were separated on the basis of an increase or decrease in AVOL volume (+/-ΔAVOL), and overall survival following bevacizumab onset was then compared between +/-ΔAVOL groups. RESULTS: AVOL in untreated GBM was significantly higher than in normal vasculature (P < .001). Kaplan-Meier survival curves revealed a greater median survival (348 days) in patients with GBM with a negative ΔAVOL after bevacizumab treatment than in patients with a positive change (197 days; hazard ratio, 2.51; P < .05). Analysis of patients with combined grade III and IV glioma showed similar results, with median survivals of 399 days and 153 days, respectively (hazard ratio, 2.71; P < .01). Changes in T1+C volume and ΔrCBV after treatment were not significantly different across +/-ΔAVOL groups, and ΔAVOL was not significantly correlated with ΔT1+C or ΔrCBV. CONCLUSIONS: The independent component analysis dynamic susceptibility contrast-derived biomarker AVOL adds additional information for determining bevacizumab treatment efficacy.

Spatially quantifying microscopic tumor invasion and proliferation using a voxel-wise solution to a glioma growth model and serial diffusion MRI.

The purpose of this study was to develop a voxel-wise analytical solution to a glioma growth model using serial diffusion MRI. These cell invasion, motility, and proliferation level estimates (CIMPLE maps) provide quantitative estimates of microscopic tumor growth dynamics. After an analytical solution was found, noise simulations were performed to predict the effects that perturbations in apparent diffusion coefficient values and the time between apparent diffusion coefficient map acquisitions would have on the accuracy of CIMPLE maps. CIMPLE maps were then created for 53 patients with gliomas with WHO grades of II-IV. MR spectroscopy estimates of the choline-to-N-acetylaspartate ratio were compared to cell proliferation estimates in CIMPLE maps using Pearson's correlation analysis. Median differences in cell proliferation and diffusion rates between WHO grades were compared. A strong correlation (R(2) = 0.9714) and good spatial correspondence were observed between MR spectroscopy measurements of the choline-to-N-acetylaspartate ratio and CIMPLE map cell proliferation rate estimates. Estimates of cell proliferation and diffusion rates appear to be significantly different between low- (WHO II) and high-grade (WHO III-IV) gliomas. Cell diffusion rate (motility) estimates are highly dependent on the time interval between apparent diffusion coefficient map acquisitions, whereas cell proliferation rate estimates are additionally influenced by the level of noise present in apparent diffusion coefficient maps.

A phase I trial of tipifarnib with radiation therapy, with and without temozolomide, for patients with newly diagnosed glioblastoma.

PURPOSE: To determine the maximum tolerated dose (MTD) of tipifarnib in combination with conventional radiotherapy for patients with newly diagnosed glioblastoma. The MTD was evaluated in three patient cohorts, stratified based on concurrent use of enzyme-inducing antiepileptic drugs (EIAED) or concurrent treatment with temozolomide (TMZ): Group A: patients not receiving EIAED and not receiving TMZ; Group A-TMZ: patients not receiving EIAED and receiving treatment with TMZ; Group B: any patients receiving EIAED but not TMZ. PATIENTS AND METHODS: After diagnostic surgery or biopsy, treatment with tipifarnib started 5 to 9 days before initiating radiotherapy, twice daily, in 4-week cycles using discontinuous dosing (21 out of 28 days), until toxicity or progression. For Group A-TMZ, patients also received TMZ daily during radiotherapy and then standard 5/28 days dosing after radiotherapy. Dose-limiting toxicity (DLT) was determined over the first 10 weeks of therapy for all cohorts. RESULTS: Fifty-one patients were enrolled for MTD determination: 10 patients in Group A, 21 patients in Group A-TMZ, and 20 patients in Group B. In the Group A and Group A-TMZ cohorts, patients achieved the intended MTD of 300 mg twice daily (bid) with DLTs including rash and fatigue. For Group B, the MTD was determined as 300 mg bid, half the expected dose. The DLTs included rash and one intracranial hemorrhage. Thirteen of the 20 patients evaluated in Group A-TMZ were alive at 1 year. CONCLUSION: Tipifarnib is well tolerated at 300 mg bid given discontinuously (21/28 days) in 4-week cycles, concurrently with standard chemo/radiotherapy. A Phase II study should evaluate the efficacy of tipifarnib with radiation and TMZ in patients with newly diagnosed glioblastoma and not receiving EIAED.

Volumetric analysis of functional diffusion maps is a predictive imaging biomarker for cytotoxic and anti-angiogenic treatments in malignant gliomas.

Anti-angiogenic agents targeting brain tumor neovasculature may increase progression-free survival in patients with recurrent malignant gliomas. However, when these patients do recur it is not always apparent as an increase in enhancing tumor volume on MRI, which has been the standard of practice for following patients with brain tumors. Therefore alternative methods are needed to evaluate patients treated with these novel therapies. Furthermore, a method that can also provide useful information for the evaluation of conventional therapies would provide an important advantage for general applicability. Diffusion-weighted magnetic resonance imaging (DWI) has the potential to serve as a valuable biomarker for these purposes. In the current study, we explore the prognostic ability of functional diffusion maps (fDMs), which examine voxel-wise changes in the apparent diffusion coefficient (ADC) over time, applied to regions of fluid-attenuated inversion recovery (FLAIR) abnormalities in patients with malignant glioma, treated with either anti-angiogenic or cytotoxic therapies. Results indicate that the rate of change in fDMs is an early predictor of tumor progression, time to progression and overall survival for both treatments, suggesting the application of fDMs in FLAIR abnormal regions may be a significant advance in brain tumor biomarker technology.

Validation of functional diffusion maps (fDMs) as a biomarker for human glioma cellularity.

PURPOSE: To present comprehensive examinations of the assumptions made in functional diffusion map (fDM) analyses and provide a biological basis for fDM classification. MATERIALS AND METHODS: Sixty-nine patients with gliomas were enrolled in this study. To determine the sensitivity of apparent diffusion coefficients (ADCs) to cellularity, cell density from stereotactic biopsy specimens was correlated with preoperative ADC maps. For definition of ADC thresholds used for fDMs, the 95% confidence intervals (CI) for changes in voxel-wise ADC measurements in normal appearing tissue was analyzed. The sensitivity and specificity to progressing disease was examined using both radiographic and neurological criteria. RESULTS: Results support the hypothesis that ADC is inversely proportional to cell density with a sensitivity of 1.01 x 10(-7) [mm(2)/s]/[nuclei/mm(2)]. The 95% CI for white matter = 0.25 x 10(-3) mm(2)/s, gray matter = 0.31 x 10(-3) mm(2)/s, a mixture of white and gray matter = 0.40 x 10(-3) mm(2)/s, and a mixture of white matter, gray matter, and cerebrospinal fluid = 0.75 x 10(-3) mm(2)/s. Application of these measurements as ADC thresholds produce varying levels of sensitivity and specificity to disease progression, which were all significantly better than chance. CONCLUSION: This study suggests fDMs are valid biomarkers for brain tumor cellularity.

Utility of functional diffusion maps to monitor a patient diagnosed with gliomatosis cerebri.

Diffusion-weighted magnetic resonance imaging (DWI) is a sensitive imaging biomarker for tumor cellularity. Functional diffusion maps (fDMs), which examine voxel-by-voxel changes in the apparent diffusion coefficient (ADC) calculated from serial DWIs, have previously been applied to regions of contrast-enhancement; however, application of fDMs to non-enhancing brain tumors has not been pursued. In this case study we demonstrate the utility of applying fDMs to regions of abnormal FLAIR signal intensity in a patient diagnosed with gliomatosis cerebri: a relatively rare, infiltrative, non-enhancing brain tumor. The absolute volume of hypercellularity extracted from fDMs was useful in tracking tumor growth, which correlated in time with a progressive decline in neurological status despite no change in traditional magnetic resonance images. Results of this study demonstrate the value of fDMs, applied to regions of FLAIR abnormal signal intensity, for localizing regions of hypercellularity and for monitoring overall tumor status.

Environmental risk factors for brain tumors.

Primary brain tumors, whether malignant or nonmalignant, have devastating consequences. Unfortunately, few known causes exist. Despite decades of epidemiologic research to identify environmental causes of brain tumors, very little progress has been made. The purpose of this paper is to review the most recent studies in the epidemiology of brain tumors. Popular topics of interest in adult brain tumor epidemiology include electromagnetic fields (particularly cellular phones), occupational exposures, nitroso-containing compounds (especially smoking), hair products, and allergic and immunologic factors. Some of these topics are also applicable to the etiology of childhood brain tumors, but additional areas of interest in the pediatric population focus on parental exposure prior to conception, maternal exposure during pregnancy, and childhood exposure to infectious agents. After an extensive review of the literature since 2001, we present the most relevant studies. Although there are many proposed associations with brain tumors, none possess the statistical significance to confidently ascribe causation. However, new findings and associations, particularly those in allergy and immunology, will present interesting opportunities for further development.

Phase I dose escalation clinical trial of phenylbutyrate sodium administered twice daily to patients with advanced solid tumors.

BACKGROUND: Phenylbutyrate (PBA), and its metabolite phenylacetate (PAA), induce growth inhibition and cellular differentiation in multiple tumor models. However, despite their potential anti-cancer properties, several pharmacodynamic aspects remain unknown. METHODS: We conducted a dose escalating trial to evaluate twice-daily intravenous PBA infusions for two consecutive weeks (Monday through Friday) every month at five dose levels (60-360 mg/kg/day). Twenty-one patients with the following malignancies were treated: colon carcinoma 4, non-small cell lung carcinoma 4; anaplastic astrocytoma 3, glioblastoma multiforme 3, bladder carcinoma 2, sarcoma 2, and ovarian carcinoma, rectal hemangiopericytoma, and pancreatic carcinoma 1 each. RESULTS: Conversion of PBA to PAA and phenylacetylglutamine (PAG) was documented without catabolic saturation. Plasma content of PBA > or =1 mM was documented for only 3 h following each dose at the top two dosages. The therapy was well tolerated overall. Common adverse effects included grade 1 nausea/vomiting, fatigue, and lightheadedness. Dose limiting toxicities were short-term memory loss, sedation, confusion, nausea, and vomiting. Two patients with anaplastic astrocytoma and a patient with glioblastoma remained stable without tumor progression for 5, 7, and 4 months respectively. CONCLUSIONS: Administration of PBA in a twice-daily infusion schedule is safe. The maximum tolerated dose is 300 mg/kg/day. Study designs with more convenient treatment schedules and specific molecular correlates may help to further delineate the mechanism of action of this compound. Future studies evaluating PBA's ability to induce histone acetylation and cell differentiation alone or in combination with other anti-neoplastics are recommended.

Systemic high-dose intravenous methotrexate for central nervous system metastases.

BACKGROUND: Treatment options for patients with recurrent central nervous system (CNS) metastases are limited. Rapid infusion of high-dose intravenous methotrexate (HD IV MTX) penetrates the blood-brain barrier (BBB) and has reported activity in leptomeningeal metastases. METHODS: Medical records were reviewed for all patients treated with HD IV MTX (3.5 g/m2) for CNS parenchymal or leptomeningeal metastases. Radiographic response rate, survival, and toxicity were determined. RESULTS: Thirty-one women and one man with a median age of 52 years (range 33-76) were treated with a total of 141 cycles (median 4, range 1-13). Twenty-nine patients had breast cancer, and one each had cancer of unknown primary (CUP), squamous cell carcinoma of the head and neck, and non-small cell lung cancer (NSCLC). An objective radiographic response and stable disease were each observed in nine patients (28%), and 13 (44%) patients progressed. Prior treatment with low-dose MTX for systemic disease did not affect response (P = 0.8). The median overall survival (n = 32) was 19.9 weeks (range 2.9-135.4+) with one patient alive at 135.4 weeks. Myelosuppression and elevated serum hepatic transaminases were the most common acute toxicities (21% and 9% of HD IV MTX cycles, respectively). CONCLUSIONS: HD IV MTX is effective in the treatment of CNS metastases with disease control (response or stable) as a best response in 56% of assessable patients. Further study is warranted.

The risk of central nervous system metastases after trastuzumab therapy in patients with breast carcinoma.

BACKGROUND: Trastuzumab, which is a large monoclonal antibody that is efficacious in the treatment of patients with HER-2/neu-overexpressing, metastatic breast carcinoma, does not penetrate the blood-brain barrier and, thus, may allow the brain to become a sanctuary site for micrometastases. Few studies have compared the risk of central nervous system (CNS) metastases in patients treated with or without trastuzumab. METHODS: The authors conducted a retrospective cohort study that compared 264 patients who did not receive trastuzumab therapy with 79 patients who received trastuzumab therapy. The study was powered to detect an effect size of 0.3, which was deemed clinically significant to change future management. RESULTS: CNS metastases developed in 48.1% of patients on trastuzumab-based therapy and in 46.6% of patients on nontrastuzumab-based therapy. The association between trastuzumab therapy and subsequent CNS metastases (either brain or leptomeningeal) was not significant, with a multivariate-adjusted odds ratio of 0.91 (95% confidence interval, 0.64-1.88; P = 0.79). Similarly, there was no evidence of an association between trastuzumab and brain metastases alone (P = 0.67) or leptomeningeal metastases alone (P = 0.14). The median overall survival after the diagnosis of all CNS metastases was 26.3 months for patients who did not receive trastuzumab and 24.9 months for patients who received trastuzumab (P = 0.7). A multivariate logistic regression model found that patient age at diagnosis (P < 0.05), positive lymph node status at presentation (P < 0.01), and liver metastases (P < 0.01) were significant predictors of CNS metastases. Lung metastases showed a borderline significant P value (0.056). CONCLUSIONS: Despite the impression of many oncologists, the results of this study did not support an association between trastuzumab therapy and an increased risk of CNS metastases.