The effectiveness of temozolomide (TMZ) dosing schemes and the "rechallenge" of recurrent glioblastoma (GBM) with TMZ are controversial. We therefore compared the efficacy of different TMZ dosing schemes against GBM cancer stem cell (CSC) lines in vitro. In O(6)-methyl-guanidine-methyl-transferase (MGMT)-negative CSC lines, all schedules (1 day on/27 days off, 5 days on/23 days off, 7 days on/7 days off, 21 days on/7 days off, continuous low-dose TMZ) depleted clonogenic cells. In TMZ-resistant CSC lines, the 7 days on/7 days off scheme showed higher toxicity as compared with the other schemes. However, clinically feasible concentrations remained ineffective in highly resistant CSC lines. In addition, none of the schedules induced long-term depletion of clonogenic cells even at the highest concentrations (up to 250 μM). After sublethal TMZ treatment for 5 days, TMZ rechallenge of recovering CSC lines remained effective. Our data advocate CSC lines as in vitro model to address clinical questions. Using this model, our data suggest the effectiveness of TMZ in MGMT-negative CSC lines and support the concept of TMZ rechallenge. The 7 days on/7 days off scheme consistently showed the best activity of all schedules in TMZ-resistant CSC lines.

Aim:Recently, D,L-methadone has been put forward as adjuvant treatment in glioblastoma (GBM).Methods:We analyzed the μ-opioid receptor expression in a set of GBM cell lines and investigated the efficacy of D,L-methadone alone and in combination with temozolomide (TMZ).Results & conclusion:Expression of the μ-opioid receptor was similar in the tested cell lines. High concentrations of D,L-methadone induced apoptosis in all cell lines and showed treatment interaction with TMZ. However, in lower dosages, reflecting clinically attainable concentrations, D,L-methadone alone showed no efficacy, and induced even higher proliferation in one specific cell line. Also, no interaction with TMZ was observed. These results suggest caution to the premature use of D,L-methadone in the treatment of GBM patients.

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OBJECTIVEDecision-making for intracranial tumor surgery requires balancing the oncological benefit against the risk for resection-related impairment. Risk estimates are commonly based on subjective experience and generalized numbers from the literature, but even experienced surgeons overestimate functional outcome after surgery. Today, there is no reliable and objective way to preoperatively predict an individual patient’s risk of experiencing any functional impairment.METHODSThe authors developed a prediction model for functional impairment at 3 to 6 months after microsurgical resection, defined as a decrease in Karnofsky Performance Status of ≥ 10 points. Two prospective registries in Switzerland and Italy were used for development. External validation was performed in 7 cohorts from Sweden, Norway, Germany, Austria, and the Netherlands. Age, sex, prior surgery, tumor histology and maximum diameter, expected major brain vessel or cranial nerve manipulation, resection in eloquent areas and the posterior fossa, and surgical approach were recorded. Discrimination and calibration metrics were evaluated.RESULTSIn the development (2437 patients, 48.2% male; mean age ± SD: 55 ± 15 years) and external validation (2427 patients, 42.4% male; mean age ± SD: 58 ± 13 years) cohorts, functional impairment rates were 21.5% and 28.5%, respectively. In the development cohort, area under the curve (AUC) values of 0.72 (95% CI 0.69–0.74) were observed. In the pooled external validation cohort, the AUC was 0.72 (95% CI 0.69–0.74), confirming generalizability. Calibration plots indicated fair calibration in both cohorts. The tool has been incorporated into a web-based application available at https://neurosurgery.shinyapps.io/impairment/.CONCLUSIONSFunctional impairment after intracranial tumor surgery remains extraordinarily difficult to predict, although machine learning can help quantify risk. This externally validated prediction tool can serve as the basis for case-by-case discussions and risk-to-benefit estimation of surgical treatment in the individual patient.