Real-world cost- effectiveness analysis: Tumor Treating Fields for newly diagnosed glioblastoma in China.

BACKGROUND: Glioblastoma (GBM) stands as the most aggressive and prevalent primary brain malignancy. Tumor Treating Fields (TTFields), an innovative therapy complementing chemotherapy for GBM treatment, which can significantly enhance overall survival, disease progression-free survival, and patient's quality of life. However, there is a dearth of health economics evaluation on TTFields therapy both domestically and internationally. OBJECTIVE: The study aims to assess the cost-effectiveness of TTFields + temozolomide (TMZ) in comparison to TMZ alone for newly diagnosed GBM patients. The intent is to provide robust economic evidence to serve as a foundation for policymaking and decision-making processes in GBM treatment. METHODS: We estimated outcomes for newly diagnosed GBM patients over a lifetime horizon using a partitioned survival model with three states: Progression-Free Survival, Progression Disease, and Death. The survival model was derived from a real-world study in China, with long-term survival data drawn from GBM epidemiology literature. Adverse event rates were sourced from the EF-14 trial data. Cost data, validated by expert consultation, was obtained from public literature and databases. Utility values were extracted from published literature. Using Microsoft Excel, we calculated expected costs and quality-adjusted life years (QALYs) over 15 years from a health system perspective. The willingness-to-pay threshold was set at three times the Chinese per capita Gross Domestic Product (GDP) in 2022, amounting to CN¥242,928 (US$37,655) /QALY. A 5% discount rate was applied to costs and utilities. Results underwent analysis through single factor and probability sensitivity analyses. RESULTS: TTFields + TMZ demonstrated a mean increase in cost by CN¥389,326 (US$57,859) and an increase of 2.46 QALYs compared to TMZ alone. The incremental cost-effectiveness ratio (ICER) was CN¥157,979 (US$23,474) per QALY gained. The model exhibited heightened sensitivity to changes in the discount rate. Probability sensitivity analysis indicates that, under the existing threshold, the probability of TTFields + TMZ being economical is 95.60%. CONCLUSIONS: This cost-effectiveness analysis affirms that incorporating TTFields into TMZ treatment proves to be cost-effective, given a threshold three times the Chinese per capita GDP.

Cost-utility analysis of Pembrolizumab compared to other alternative immunotherapy and chemotherapy treatments for patients with advanced melanoma in Iran.

OBJECTIVES: Immunotherapy drugs like Pembrolizumab have shown significant improvements in treatment outcomes of advanced melanoma. This study aimed to evaluate the cost-utility of Pembrolizumab compared to other immunotherapy and chemotherapy drugs in the first-line treatment of advanced melanoma in Iran. METHODS: A partitioned-survival model, based on data from a recent randomized phase 3 study (KEYNOTE-006) and recent meta-analysis, was used to divide Overall survival (OS) time into Progression-free survival (PFS) and post-progression survival for Pembrolizumab, Nivolumab, Ipilimumab, Dacarbazine, Temozolomide, Carboplatin, and Paclitaxel combination. Quality Life Years (QALY) and Incremental Cost-Effectiveness Ratio (ICER) were considered as the final outcome. RESULTS: The ICER of Ipilimumab, Nivolumab, Nivolumab & Ipilimumab, and Pembrolizumab compared to Temozolomide was calculated as $40,365.53, $19,591.13, $24,578, and $47,324.2 per QALY, respectively. Scenario analysis demonstrated if the price of one vial of Nivolumab 100 is $90.51, each vial of Pembrolizumab is $119.20, and each vial of Ipilimumab is $101.54, they will be cost-effective in Iran. CONCLUSION: None of the immunotherapy drugs studied were found to be cost-effective when considering the cost-effectiveness threshold of $3,532. Therefore, a cost reduction of more than 90% in the prices of immunotherapy drugs would be necessary for them to be considered cost-effective in Iran.

The Assessment of Clinical Outcomes and Prognostic Factors in Glioblastoma Patients.

AIM: To assess the outcomes of glioblastoma patients treated in our clinic over the last 10 years using a multimodality approach and cutting-edge techniques. MATERIAL AND METHODS: In our study, we included 169 glioblastoma patients who were admitted to our clinic between 2009 and 2019 and received concurrent radiotherapy (RT) + temozolomide (TMZ) after surgery. Patients were collected retrospectively and analyzed using appropriate statistical methods. RESULTS: The average follow-up period was 19 months. The average overall survival (OS) was 20.5 months. PFS and PPS were found to be 10.8 and 8.9 months, respectively. In the multivariate analysis for prognostic factors on OS, the Karnofsky Performance Score (KPS), the extent of resection (EOR), and the use of adjuvant TMZ were significant. PFS was significantly predicted by KPS, EOR, adjuvant TMZ, and planning target volume (PTV). Acute severe lymphopenia (ASL) following RT reduced the OS and PFS. There was no statistical difference in OS, PFS, recurrence patterns, or ASL incidence between the RTOG and EORTC regimens and RT techniques (IMRT vs. 3D-CRT). The association between dose-volume parameters (V3, V5, V10, V15, and V20 and V25, V30, V40, and V60 Gy) and post-treatment ASL frequency was studied. For each parameter, threshold levels were discovered. Furthermore, patients with recurrent glioblastoma who received salvage therapies had better outcomes. CONCLUSION: A multidisciplinary, and intensive treatment approach using modern techniques improved the OS of glioblastoma patients. Furthermore, in glioblastoma patients, larger RT fields were not associated with better outcomes. As a result, lymphocytesparing RT may be more beneficial in increasing patients' compliance to adjuvant TMZ, which is an important prognostic factor of OS.

Cost-Effectiveness Analysis of a Three-Drug Regimen Containing Bevacizumab for the Treatment of Recurrent Pediatric Medulloblastoma in China: Based on a COG Randomized Phase II Screening Trial.

Background: Medulloblastoma is the most common malignant brain tumor of childhood, accounting for 6 to 7 percent of all childhood CNS tumors. The purpose of this study was to evaluate the economic efficacy of a bevacizumab combined with temozolomide + irinotecan regimen for the treatment of recurrent pediatric medulloblastoma in China. Methods: The data analyzed were from a randomized phase II screening trial that showed an improved survival benefit in child patients with recurrent medulloblastoma treated with a T+I+B combination regimen. A Markov model is constructed to estimate the incremental cost-effectiveness ratio (ICER) from the perspective of Chinese society. The uncertainty in the model is solved by one-way certainty and probabilistic sensitivity analysis. Results: Our base case analysis showed that the total costs of treatment increased from $8,786.403 to $27,603.420 with the combination bevacizumab vs. the two-agent chemotherapy regimen. Treatment with T+I+B combination therapy was associated with an increase in effectiveness of 0.280 QALYs from 0.867 to 1.147 QALYs T+I regimen. The incremental cost-effectiveness ratio was $67,203.632/QALY, which exceeded our pre-specified willingness-to-pay threshold ($38,136.26/QALY). Cost changes associated with grade 3-4 AE management, tests used, or hospitalization costs had little effect on the ICER values predicted by sensitivity analysis. Conclusions: Taken together, the results of this study suggest that the combination of bevacizumab with temozolomide and irinotecan is not a cost-effective option from the perspective of Chinese payers as a first-line treatment option for children with recurrent medulloblastoma in China.

Cost Effectiveness of 18F-FET PET for Early Treatment Response Assessment in Glioma Patients After Adjuvant Temozolomide Chemotherapy.

In light of increasing health-care costs, higher medical expenses should be justified socioeconomically. Therefore, we calculated the effectiveness and cost effectiveness of PET using the radiolabeled amino acid O-(2-18F-fluoroethyl)-l-tyrosine (18F-FET) compared with conventional MRI for early identification of responders to adjuvant temozolomide chemotherapy. A recently published study in isocitrate dehydrogenase wild-type glioma patients suggested that 18F-FET PET parameter changes predicted a significantly longer survival already after 2 cycles whereas MRI changes were not significant. Methods: To determine the effectiveness and cost effectiveness of serial 18F-FET PET imaging, we analyzed published clinical data and calculated the associated costs from the perspective of the German Statutory Health Insurance system. Based on a decision-tree model, the effectiveness of 18F-FET PET and MRI was calculated-that is, the probability to correctly identify a responder as defined by an overall survival of at least 15 mo. To determine the cost effectiveness, the incremental cost effectiveness ratio (ICER) was calculated-that is, the cost for each additionally identified responder by 18F-FET PET who would have remained undetected by MRI. The robustness of the results was tested by deterministic and probabilistic Monte Carlo sensitivity analyses. Results: Compared with MRI, 18F-FET PET increased the rate of correctly identified responders to chemotherapy by 26%; thus, 4 patients needed to be examined by 18F-FET PET to identify 1 additional responder. Considering the respective costs for serial 18F-FET PET and MRI, the ICER resulted in €4,396.83 for each additional correctly identified responder by 18F-FET PET. Sensitivity analyses confirmed the robustness of the results. Conclusion: In contrast to conventional MRI, the model suggests that 18F-FET PET is cost-effective in terms of ICER values. Considering the high cost of temozolomide, the integration of 18F-FET PET has the potential to avoid premature chemotherapy discontinuation at reasonable cost.

Prognostic value of test(s) for O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation for predicting overall survival in people with glioblastoma treated with temozolomide.

BACKGROUND: Glioblastoma is an aggressive form of brain cancer. Approximately five in 100 people with glioblastoma survive for five years past diagnosis. Glioblastomas that have a particular modification to their DNA (called methylation) in a particular region (the O6-methylguanine-DNA methyltransferase (MGMT) promoter) respond better to treatment with chemotherapy using a drug called temozolomide. OBJECTIVES: To determine which method for assessing MGMT methylation status best predicts overall survival in people diagnosed with glioblastoma who are treated with temozolomide. SEARCH METHODS: We searched MEDLINE, Embase, BIOSIS, Web of Science Conference Proceedings Citation Index to December 2018, and examined reference lists. For economic evaluation studies, we additionally searched NHS Economic Evaluation Database (EED) up to December 2014. SELECTION CRITERIA: Eligible studies were longitudinal (cohort) studies of adults with diagnosed glioblastoma treated with temozolomide with/without radiotherapy/surgery. Studies had to have related MGMT status in tumour tissue (assessed by one or more method) with overall survival and presented results as hazard ratios or with sufficient information (e.g. Kaplan-Meier curves) for us to estimate hazard ratios. We focused mainly on studies comparing two or more methods, and listed brief details of articles that examined a single method of measuring MGMT promoter methylation. We also sought economic evaluations conducted alongside trials, modelling studies and cost analysis. DATA COLLECTION AND ANALYSIS: Two review authors independently undertook all steps of the identification and data extraction process for multiple-method studies. We assessed risk of bias and applicability using our own modified and extended version of the QUality In Prognosis Studies (QUIPS) tool. We compared different techniques, exact promoter regions (5'-cytosine-phosphate-guanine-3' (CpG) sites) and thresholds for interpretation within studies by examining hazard ratios. We performed meta-analyses for comparisons of the three most commonly examined methods (immunohistochemistry (IHC), methylation-specific polymerase chain reaction (MSP) and pyrosequencing (PSQ)), with ratios of hazard ratios (RHR), using an imputed value of the correlation between results based on the same individuals. MAIN RESULTS: We included 32 independent cohorts involving 3474 people that compared two or more methods. We found evidence that MSP (CpG sites 76 to 80 and 84 to 87) is more prognostic than IHC for MGMT protein at varying thresholds (RHR 1.31, 95% confidence interval (CI) 1.01 to 1.71). We also found evidence that PSQ is more prognostic than IHC for MGMT protein at various thresholds (RHR 1.36, 95% CI 1.01 to 1.84). The data suggest that PSQ (mainly at CpG sites 74 to 78, using various thresholds) is slightly more prognostic than MSP at sites 76 to 80 and 84 to 87 (RHR 1.14, 95% CI 0.87 to 1.48). Many variants of PSQ have been compared, although we did not see any strong and consistent messages from the results. Targeting multiple CpG sites is likely to be more prognostic than targeting just one. In addition, we identified and summarised 190 articles describing a single method for measuring MGMT promoter methylation status. AUTHORS' CONCLUSIONS: PSQ and MSP appear more prognostic for overall survival than IHC. Strong evidence is not available to draw conclusions with confidence about the best CpG sites or thresholds for quantitative methods. MSP has been studied mainly for CpG sites 76 to 80 and 84 to 87 and PSQ at CpG sites ranging from 72 to 95. A threshold of 9% for CpG sites 74 to 78 performed better than higher thresholds of 28% or 29% in two of three good-quality studies making such comparisons.

Timing of Chemoradiation in Newly Diagnosed Glioblastoma: Comparative Analysis Between County and Managed Care Health Care Models.

BACKGROUND: Glioblastoma multiforme (GBM) is a primary brain malignancy with significant morbidity and mortality. The current standard of treatment for GBM is surgery followed by radiotherapy and temozolomide. Despite an established treatment protocol, there exists heterogeneity in outcomes due to patients not receiving all treatments. We analyzed patients in different health care models to investigate this heterogeneity. METHODS: A retrospective analysis was performed at 2 hospitals in San Bernardino County, California, for patients with newly diagnosed GBM from 2004 to 2019. Patients younger than 18 years of age, with history of low-grade glioma, who had undergone prior treatment, and those lost to follow-up were excluded. RESULTS: A total of 57 patients were included in our study. Chemotherapy was started at 41 ± 30 and 77 ± 68 days in the health maintenance organization (HMO) and county model, respectively (P = 0.050); radiation therapy was started at 46 ± 34 and 85 ± 76 days in the HMO and county models, respectively (P = 0.036). In individuals who underwent both chemotherapy and radiation therapy (XRT), the difference in time to XRT was no longer significant (P = 0.060). Recurrence time was 309 ± 263 and 212 ± 180 days in the HMO and county groups, respectively (P = 0.379). The time to death was 412 ± 285 and 343 ± 304 days for HMO and county models, respectively (P = 0.334). CONCLUSIONS: Our study demonstrates a statistically significant difference in time to adjuvant therapies between patients within a county hospital and a managed health care organization. This information has the potential to inform future policies and care coordination for patients within the county model.

Assessment of MGMT methylation status using high-performance liquid chromatography in newly diagnosed glioblastoma.

BACKGROUND: The utility of O6-methylguanine-DNA methyltransferase (MGMT) gene promoter methylation status as a prognostic marker in patients with glioblastoma (GBM) has been established. However, the number of CpG sites that must be methylated to cause transcriptional silencing remains unclear, and no significant consensus exists on the optimal method of assessing MGMT methylation. We developed a new high-performance liquid chromatography (HPLC) method that enables accurate analysis of DNA methylation levels using long PCR products. In the present study, we analyzed the MGMT methylation status of 28 isocitrate dehydrogenase-wild-type GBMs treated with temozolomide using ion-exchange HPLC and set the optimal cutoff values. RESULTS: We designed three primers for separate regions (regions 1-3) that had 21 to 38 CpGs for PCR and validated the MGMT promoter methylation status using frozen samples. There was a strong correlation between HPLC and bisulfite sequencing results (R = 0.794). The optimal cutoff values for MGMT methylation in HPLC were determined to allow differentiation of patient prognosis by receiver operating characteristic curve analysis. The cutoff values were 34.15% for region 1, 8.84% for region 2, and 36.72% for region 3. Kaplan-Meyer curve analysis estimated that the most differentiated prognosis was enabled in the setting of 8.84% methylation of MGMT in region 2. Progression-free survival and overall survival were significantly longer for patients in this setting of region 2 methylation (p = 0.00365 and p = 0.00258, respectively). CONCLUSIONS: The combination of our HPLC method and the original primer setting provides a new standard method for determination of MGMT methylation status in patients with GBM and is useful for refining MGMT-based drug selection.

Preconditioning with INC280 and LDK378 drugs sensitizes MGMT-unmethylated glioblastoma to temozolomide: Pre-clinical assessment.

Temozolomide (TMZ) therapy is the standard of care for patients with glioblastoma (GBM). Clinical studies have shown that elevated levels of DNA repair protein O (6)-methylguanine-DNA methyltransferase (MGMT) or deficiency/defect of DNA mismatch repair (MMR) genes is associated with TMZ resistance in some, but not all, GBM tumors. Another reason for GBM treatment failure is signal redundancy due to coactivation of several functionally linked receptor tyrosine kinases (RTKs), including anaplastic lymphoma kinase (ALK) and c-Met (hepatocyte growth factor receptor). As such, these tyrosine kinases serve as potential targets for GBM therapy. Thus, we tested two novel drugs: INC280 (Capmatinib: a highly selective c-Met receptor tyrosine kinase-RTK inhibitor) and LDK378 (Ceritinib: a highly selective anaplastic lymphoma kinase-ALK inhibitor), aiming to overcome TMZ resistance in MGMT-unmethylated GBM cells in in vitro cell culture models. Treatments were examined using MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) assay, caspase-3 assay and western blot analysis. Results obtained from our experiments demonstrated that preconditioning with INC280 and LDK378 drugs exhibit increased MMR protein expression, specifically MMR protein MLH1 (MutL Homolog 1) and MSH6 (MutS Homolog 6) and sensitized TMZ in MGMT-unmethylated GBM cells via suppression of ALK and c-Met expression. INC280 and LDK378 plus TMZ also induced apoptosis by modulating downstream signaling of PI3K/AKT/STAT3. Taken together, this data indicates that co-inhibition of ALK and c-MET can enhance growth inhibitory effects in MGMT-unmethylated cells and enhance TMZ sensitivity in-vitro, suggesting c-Met inhibitors combined with ALK-targeting provide a therapeutic benefit in MGMT-unmethylated GBM patients.

Identifying Disparities in Care in Treating Glioblastoma: A Retrospective Cohort Study of Patients Treated at a Safety-net Versus Private Hospital Setting.

BACKGROUND: Patients of lower socioeconomic status (SES) may experience barriers to their oncologic care, but current data conflict over whether SES affects the prognosis of patients with glioblastoma (GB). OBJECTIVE: We sought to determine whether SES disparities impaired delivery of neuro-oncologic care and affected the prognosis of GB patients. METHODS: The records of GB patients treated from 2010 to 2014 at a safety-net hospital (SNH) or private hospital (PH), both served by 1 academic medical institution, were retrospectively reviewed and compared. Overall survival (OS) and progression-free survival (PFS) were estimated using the Kaplan-Meier method. RESULTS: A total of 55 SNH and 39 PH GB patients were analyzed with median 11-month follow-up. SNH patients were predominantly Hispanic, low income, enrolled in Medicaid, were less likely to receive radiation (89% vs. 100%), took longer to start radiation (41 vs. 29 days), and were less likely to complete radiation treatment (80% vs. 95%). Concurrent and adjuvant temozolomide use were also lower (85% vs. 94% and 60% vs. 71%, respectively). OS and PFS were not significantly different (15 vs. 16 months and 8 vs. 11 months, respectively). On multivariate analysis, adjuvant chemotherapy and RT completion predicted for better OS, whereas hospital type, income, and insurance did not. CONCLUSION: Although GB patients at our SNH received less adjuvant treatment compared with PH, outcomes were similar. Access to multidisciplinary care staffed by academic physicians may play an important role in overcoming socioeconomic barriers to treatment availability and quality at SNHs.

Temozolomide for patients with wild-type isocitrate dehydrogenase (IDH) 1 glioblastoma using propensity score matching.

OBJECTIVE: The isocitrate dehydrogenase (IDH) 1 wild-type glioblastoma (GBM) is a major population of GBM that should be of concern in terms of the efficacy of using Temozolomide (TMZ) in adjuvant treatment. This study aimed to compare the effectiveness of TMZ with radiotherapy (RT) and RT alone in patients with IDH1wild-type GBM using a propensity score matching (PSM) approach. PATIENTS AND METHODS: Newly-diagnosed GBM patients were retrospectively analyzed. The clinical variables were collected from a hospital database. Multivariable analysis and propensity score matching (PSM) were used for adjusting the differences in characteristics among patients. The effect of TMZ on the survival of patients with GBM was evaluated by time-to-event analysis based on the multivariable model and PSM. RESULTS: One hundred and sixty-two patients were included in the unmatched analysis. Overall median survival time was 11 months (95 % CI 9.3-12.6). In the multivariable model, TMZ and RT were associated with significantly longer survival compared with RT alone (Hazard ratio [HR] 0.64, 95 %CI 0.43-0.93). After PSM, each of the 55 patients was assigned to TMZ with RT and RT alone groups. The overall median survival time of matched data was 12.0 months (95 %CI = 10.0-13.9). Additionally, the HR of TMZ with RT was 0.67 (95 %CI 0.46-0.99) in the PSM method. CONCLUSIONS: The present study revealed that the effect of TMZ with RT in IDH1 wild-type GBM patients had advantages in terms of survival by using multivariable analysis and PS approaches. In real-world settings, confounders should be explored and controlled prior to statistical analysis. Also, an economic evaluation of the specific subgroups should be conducted in the future.

Impact of treatment decision algorithms on treatment costs in recurrent glioblastoma: a health economic study.

AIMS: Recurrent glioblastoma (GBM) is a disease with poor prognosis. Although several therapeutic approaches such as chemotherapy, irradiation or surgery have been investigated, there is no established standard therapy. A recent survey among Swiss neuro-oncology centres has shown considerable controversy in the treatment recommendations for any specific scenario of recurrent GBM. In view of the cost differences of the available treatment alternatives, the aim of our study was assess the financial impact of different institutional therapeutic strategies for recurrent GBM in Switzerland. METHODS: We created a decision analytic model for each of the eight centres participating in the initial study with a centre-specific treatment algorithm to evaluate the average treatment cost per patient. The probability of decision criteria was varied by univariate and probabilistic sensitivity analysis over a wide range to account for the high level of uncertainty. Treatment costs were calculated from the perspective of the Swiss healthcare payer. RESULTS: Mean treatment costs per patient calculated on the basis of the institutional treatment algorithms ranged from CHF 13,748 to CHF 22,072 depending on the probability of individual decision criteria. The most influential decision factors for the mean treatment costs were the probability of fit patients and the proportion of patients with resectable tumour recurrences. There was a significant correlation between the complexity of treatment algorithms in a centre and the resulting mean treatment costs. CONCLUSIONS: Institutional treatment algorithms can be used to estimate the average treatment costs per patient, which are, however, highly sensitive to probability changes of individual decision criteria. Our study demonstrates a high variability in treatment costs for recurrent GBM among eight Swiss neuro-oncology centres based on individual institutional treatment algorithms.

Cost-effectiveness of tumor-treating fields added to maintenance temozolomide in patients with glioblastoma: an updated evaluation using a partitioned survival model.

PURPOSE: A first cost-effectiveness analysis has raised a strong concern regarding the cost of tumor treatment fields (TTF) added to maintenance temozolomide for patients with glioblastoma. This evaluation was based on effectiveness outcomes from an interim analysis of the pivotal trial, moreover it used a "standard" Markov model. Our objective was to update the cost-effectiveness evaluation using the more flexible potential of the "partitioned survival" model design and using the latest effectiveness data. METHODS: We developed the model with three mutually exclusive health states: stable disease, progressive disease, and dead. Good fit parametric models were developed for overall survival and progression free survival and these generated clinically plausible extrapolations beyond the observed data. We adopted the perspective of the French national health insurance and used a 20-year time horizon. Results were expressed as cost/life-years (LY) gained (LYG). RESULTS: The base case model generated incremental benefit of 0.604 LY at a cost of €453,848 which, after 4% annual discounting of benefits and costs, yielded an incremental cost effectiveness ratio (ICER) of €510,273/LYG. Using sensitivity analyses and bootstrapping methods results were found to be relatively robust and were only sensitive to TTF device costs and the modelling of overall survival. To achieve an ICER below €100,000/LYG would require a reduction in TTF device cost of approximately 85%. CONCLUSIONS: Using a different type of model and updated survival outcomes, our results show TTF remains an intervention that is not cost-effective, which greatly restrains its diffusion to potentially eligible patients.

Role of multidimensional assessment of frailty in predicting outcomes in older patients with glioblastoma treated with adjuvant concurrent chemo-radiation.

BACKGROUND: Our aim was to evaluate the impact of comorbidities, clinical and biological factors on outcomes in elderly GBM patients treated with surgery followed by concurrent radiation (RT) and Temozolomide (TMZ). MATERIALS AND METHODS: Our sample includes 34 elderly patients with GBM who treated from January 2013 to December 2017. We collected data regarding age, extension of surgery, use of current medications, KPS, presenting symptoms, Prognostic Nutritional Index (PNI), Charlson Co-morbidity Index (CCI) and Frailty Index (FI). All of these parameters, measured before the start of RT-TMZ, were linked to clinical outcomes. RESULTS: With a median follow-up of 9.7 months, the median overall survival (OS) was 12.1 months and 1-year OS was 50%. In univariable analysis high KPS and total surgery were significantly associated with better OS. Also PNI, CCI and FI were a significant predictors of OS. At multivariate analysis KPS, type of surgery and FI remained a significant predictors of OS and, based on these parameters, we generated a prognostic score that, dividing patients into three risk categories, has proven to be a survival predictor, with an increase of the risk of death by 2.2 times for each increment of the score (HR 2.2, p = .0004). CONCLUSION: The appropriate management of elderly cancer patients with GBM is an important concern in oncology. Our data suggest that in elderly patients in good clinical conditions and with a low FI score, extensive surgery, when feasible without adding neurological impairment, followed by adjuvant RT-TMZ, should be considered.

Evaluation of the Implementation of the Response Assessment in Neuro-Oncology Criteria in the HERBY Trial of Pediatric Patients with Newly Diagnosed High-Grade Gliomas.

BACKGROUND AND PURPOSE: HERBY was a Phase II multicenter trial setup to establish the efficacy and safety of adding bevacizumab to radiation therapy and temozolomide in pediatric patients with newly diagnosed non-brain stem high-grade gliomas. This study evaluates the implementation of the radiologic aspects of HERBY. MATERIALS AND METHODS: We analyzed multimodal imaging compliance rates and scan quality for participating sites, adjudication rates and reading times for the central review process, the influence of different Response Assessment in Neuro-Oncology criteria in the final response, the incidence of pseudoprogression, and the benefit of incorporating multimodal imaging into the decision process. RESULTS: Multimodal imaging compliance rates were the following: diffusion, 82%; perfusion, 60%; and spectroscopy, 48%. Neuroradiologists' responses differed for 50% of scans, requiring adjudication, with a total average reading time per patient of approximately 3 hours. Pseudoprogression occurred in 10/116 (9%) cases, 8 in the radiation therapy/temozolomide arm and 2 in the bevacizumab arm (P < .01). Increased target enhancing lesion diameter was a reason for progression in 8/86 cases (9.3%) but never the only radiologic or clinical reason. Event-free survival was predicted earlier in 5/86 (5.8%) patients by multimodal imaging (diffusion, n = 4; perfusion, n = 1). CONCLUSIONS: The addition of multimodal imaging to the response criteria modified the assessment in a small number of cases, determining progression earlier than structural imaging alone. Increased target lesion diameter, accounting for a large proportion of reading time, was never the only reason to designate disease progression.

Re-irradiation for recurrent glioma: outcome evaluation, toxicity and prognostic factors assessment. A multicenter study of the Radiation Oncology Italian Association (AIRO).

INTRODUCTION: The prognosis of glioma is dismal, and almost all patients relapsed. At recurrence time, several treatment options are considered, but to date there is no a standard of care. The Neurooncology Study Group of the Italian Association of Radiation Oncology (AIRO) collected clinical data regarding a large series of recurrent glioma patients who underwent re-irradiation (re-RT) in Italy. METHODS: Data regarding 300 recurrent glioma patients treated from May 2002 to November 2017, were analyzed. All patients underwent re-RT. Surgical resection, followed by re-RT with concomitant and adjuvant chemotherapy was performed. Clinical outcome was evaluated by neurological examination and brain MRI performed, 1 month after radiation therapy and then every 3 months. RESULTS: Re-irradiation was performed at a median interval time (IT) of 16 months from the first RT. Surgical resection before re-RT was performed in 19% of patients, concomitant temozolomide (TMZ) in 16.3%, and maintenance chemotherapy in 29%. Total doses ranged from 9 Gy to 52.5 Gy, with a median biological effective dose of 43 Gy. The median, 1, 2 year OS were 9.7 months, 41% and 17.7%. Low grade glioma histology (p  ≪ 0.01), IT > 12 months (p = 0.001), KPS > 70 (p = 0.004), younger age (p = 0.001), high total doses delivered (p = 0.04), and combined treatment performed (p = 0.0008) were recorded as conditioning survival. CONCLUSION: our data underline re-RT as a safe and feasible treatment with limited rate of toxicity, and a combined ones as a better option for selected patients. The identification of a BED threshold able to obtain a greater benefit on OS, can help in designing future prospective studies.

Estimated lifetime survival benefit of tumor treating fields and temozolomide for newly diagnosed glioblastoma patients.

AIM: To estimate the mean lifetime survival benefit, an essential component of health economic evaluations in oncology, of adding tumor treating fields (TTFields) to maintenance temozolomide (TMZ) for newly diagnosed glioblastoma patients. METHODS: We integrated EF-14 trial data with glioblastoma epidemiology data. The model provided for an evidence-based approach to estimate lifetime survival for the material number of EF-14 trial patients still alive at 5 years. RESULTS & CONCLUSION: Patients treated with TTFields and TMZ had an incremental mean lifetime survival of 1.8 years (TTFields/TMZ: 4.2 vs TMZ alone: 2.4). Patients alive at year 2 after starting TTFields had a 20.7% probability of surviving to year 10. The results presented here provide the required incremental survival benefit necessary for a future assessment of the incremental cost-effectiveness of TTFields.

Optimal dynamic regimens with artificial intelligence: The case of temozolomide.

We determine an optimal protocol for temozolomide using population variability and dynamic optimization techniques inspired by artificial intelligence. We use a Pharmacokinetics/Pharmacodynamics (PK/PD) model based on Faivre and coauthors (Faivre, et al., 2013) for the pharmacokinetics of temozolomide, as well as the pharmacodynamics of its efficacy. For toxicity, which is measured by the nadir of the normalized absolute neutrophil count, we formalize the myelosuppression effect of temozolomide with the physiological model of Panetta and coauthors (Panetta, et al., 2003). We apply the model to a population with variability as given in Panetta and coauthors (Panetta, et al., 2003). Our optimization algorithm is a variant in the class of Monte-Carlo tree search algorithms. We do not impose periodicity constraint on our solution. We set the objective of tumor size minimization while not allowing more severe toxicity levels than the standard Maximum Tolerated Dose (MTD) regimen. The protocol we propose achieves higher efficacy in the sense that -compared to the usual MTD regimen- it divides the tumor size by approximately 7.66 after 336 days -the 95% confidence interval being [7.36-7.97]. The toxicity is similar to MTD. Overall, our protocol, obtained with a very flexible method, gives significant results for the present case of temozolomide and calls for further research mixing operational research or artificial intelligence and clinical research in oncology.

Shadow study: randomized comparison of clinic with video follow-up in glioma undergoing adjuvant temozolomide therapy.

AIM: This study was designed with a primary objective to study the rate of agreement in treatment plan and decisions between video follow-up (VF) and conventional clinic follow-up (CF). PATIENTS & METHODS: Adult patients with intermediate- to high-grade glioma on adjuvant temozolomide (TMZ) with facilities for live video call were invited to participate in the study. RESULTS: The concurrence in decision of administering TMZ between VF and CF was 100% (p < 0.00). The median cost incurred in VF was US$58.15 while that incurred in CF was US$131.23 (p < 0.00). CONCLUSION: VF can substitute CF during adjuvant TMZ administration (CTRI/2017/01/007626).

Cost-effectiveness of the long-term use of temozolomide for treating newly diagnosed glioblastoma in Germany.

Concomitant radiochemotherapy followed by six cycles of temozolomide (= short term) is considered as standard therapy for adults with newly diagnosed glioblastoma. In contrast, open-end administration of temozolomide until progression (= long-term) is proposed by some authors as a viable alternative. We aimed to determine the cost-effectiveness of long-term temozolomide therapy for patients newly diagnosed with glioblastoma compared to standard therapy. A Markov model was constructed to compare medical costs and clinical outcomes for both therapy types over a time horizon of 60 months. Transition probabilities for standard therapy were calculated from randomized controlled trial data by Stupp et al. The data for long-term temozolomide therapy was collected by matching a cohort treated in the Department of Neurosurgery at Jena University Hospital. Health utilities were obtained from a previous cost utility study. The cost perspective was based on health insurance. The base case analysis showed a median overall survival of 17.1 months and a median progression-free survival of 7.4 months for patients in the long-term temozolomide therapy arm. The cost-effectiveness analysis using all base case parameters in a time-dependent Markov model resulted in an incremental effectiveness of 0.022 quality-adjusted life-years (QALYs). The incremental cost-effectiveness ratio (ICER) was €351,909/QALY. Sensitivity analyses showed that parameters with the most influence on ICER were the health state utility of progression in both therapy arms. Although open-ended temozolomide therapy is very expensive, the ICER of this therapy is comparable to that of the standard temozolomide therapy for patients newly diagnosed with glioblastoma.