OBJECTIVE The incidence of leptomeningeal disease (LMD) has increased as treatments for brain metastases (BMs) have improved and patients with metastatic disease are living longer. Sample sizes of... Show moreOBJECTIVE The incidence of leptomeningeal disease (LMD) has increased as treatments for brain metastases (BMs) have improved and patients with metastatic disease are living longer. Sample sizes of individual studies investigating LMD after surgery for BMs and its risk factors have been limited, ranging from 200 to 400 patients at risk for LMD, which only allows the use of conventional biostatistics. Here, the authors used machine learning techniques to enhance LMD prediction in a cohort of surgically treated BMs.METHODS A conditional survival forest, a Cox proportional hazards model, an extreme gradient boosting (XGBoost) classifier, an extra trees classifier, and logistic regression were trained. A synthetic minority oversampling technique (SMOTE) was used to train the models and handle the inherent class imbalance. Patients were divided into an 80:20 training and test set. Fivefold cross-validation was used on the training set for hyperparameter optimization. Patients eligible for study inclusion were adults who had consecutively undergone neurosurgical BM treatment, had been admit-ted to Brigham and Women's Hospital from January 2007 through December 2019, and had a minimum of 1 month of follow-up after neurosurgical treatment.RESULTS A total of 1054 surgically treated BM patients were included in this analysis. LMD occurred in 168 patients (15.9%) at a median of 7.05 months after BM diagnosis. The discrimination of LMD occurrence was optimal using an XGboost algorithm (area under the curve = 0.83), and the time to LMD was prognosticated evenly by the random forest algorithm and the Cox proportional hazards model (C-index = 0.76). The most important feature for both LMD clas-sification and regression was the BM proximity to the CSF space, followed by a cerebellar BM location. Lymph node metastasis of the primary tumor at BM diagnosis and a cerebellar BM location were the strongest risk factors for both LMD occurrence and time to LMD.CONCLUSIONS The outcomes of LMD patients in the BM population are predictable using SMOTE and machine learn-ing. Lymph node metastasis of the primary tumor at BM diagnosis and a cerebellar BM location were the strongest LMD risk factors. Show less
The efficacy of immune checkpoint inhibitors (ICIs) in patients with advanced melanomathat develop brain metastases (BM) remains unpredictable. In this study, we aimed to identifyprognostic factors... Show moreThe efficacy of immune checkpoint inhibitors (ICIs) in patients with advanced melanomathat develop brain metastases (BM) remains unpredictable. In this study, we aimed to identifyprognostic factors in patients with melanoma BM who are treated with ICIs. Data from advancedmelanoma patients with BM treated with ICIs in any line between 2013 and 2020 were obtained fromthe Dutch Melanoma Treatment Registry. Patients were included from the time of the treatment ofBM with ICIs. Survival tree analysis was performed with clinicopathological parameters as potentialclassifiers and overall survival (OS) as the response variable. In total, 1278 patients were included.Most patients were treated with ipilimumab–nivolumab combination therapy (45%). The survivaltree analysis resulted in 31 subgroups. The median OS ranged from 2.7 months to 35.7 months. Thestrongest clinical parameter associated with survival in advanced melanoma patients with BM wasthe serum lactate dehydrogenase (LDH) level. Patients with elevated LDH levels and symptomaticBM had the worst prognosis. The clinicopathological classifiers identified in this study can contributeto optimizing clinical studies and can aid doctors in giving an indication of the patients’ survivalbased on their baseline and disease characteristics. Show less
Koekkoek, J.A.F.; Meer, P.B. van der; Pace, A.; Hertler, C.; Harrison, R.; Leeper, H.E.; ... ; Walbert, T. 2022
Background This systematic review provides updated insights, from the published literature in the past 5 years, based on the 2017 European Association of Neuro-Oncology (EANO) guidelines for... Show moreBackground This systematic review provides updated insights, from the published literature in the past 5 years, based on the 2017 European Association of Neuro-Oncology (EANO) guidelines for palliative care in adults with malignant brain tumors. It provides an overview of palliative care options, including during the end-of-life phase for patients with malignant brain tumors. Methods A systematic literature search was conducted from 2016 to 2021 focusing on four main topics: (1) symptom management, (2) caregiver needs, (3) early palliative care, and (4) care in the end-of-life phase. An international panel of palliative care experts in neuro-oncology synthesized the literature and reported the most relevant updates. A total of 140 articles were included. Results New insights include that: Hippocampal avoidance and stereotactic radiosurgery results in a lower risk of neurocognitive decline in patients with brain metastases; levetiracetam is more efficacious in reducing seizures than valproic acid as first-line monotherapy antiseizure drug (ASD) in glioma patients; lacosamide and perampanel seem well-tolerated and efficacious add-on ASDs; and a comprehensive framework of palliative and supportive care for high-grade glioma patients and their caregivers was proposed. No pharmacological agents have been shown in randomized controlled trials to significantly improve fatigue or neurocognition. Conclusions Since the 2017 EANO palliative care guidelines, new insights have been reported regarding symptom management and end-of-life care, however, most recommendations remain unchanged. Early palliative care interventions are essential to define goals of care and minimize symptom burden in a timely fashion. Interventional studies that address pain, fatigue, and psychiatric symptoms as well as (the timing of) early palliative care are urgently needed. Show less
Koekkoek, J.A.F.; Meer, P.B. van der; Pace, A.; Hertler, C.; Harrison, R.; Leeper, H.E.; ... ; Walbert, T. 2022
BackgroundThis systematic review provides updated insights, from the published literature in the past 5 years, based on the 2017 European Association of Neuro-Oncology (EANO) guidelines for... Show moreBackgroundThis systematic review provides updated insights, from the published literature in the past 5 years, based on the 2017 European Association of Neuro-Oncology (EANO) guidelines for palliative care in adults with malignant brain tumors. It provides an overview of palliative care options, including during the end-of-life phase for patients with malignant brain tumors.MethodsA systematic literature search was conducted from 2016 to 2021 focusing on four main topics: (1) symptom management, (2) caregiver needs, (3) early palliative care, and (4) care in the end-of-life phase. An international panel of palliative care experts in neuro-oncology synthesized the literature and reported the most relevant updates. A total of 140 articles were included.ResultsNew insights include that: Hippocampal avoidance and stereotactic radiosurgery results in a lower risk of neurocognitive decline in patients with brain metastases; levetiracetam is more efficacious in reducing seizures than valproic acid as first-line monotherapy antiseizure drug (ASD) in glioma patients; lacosamide and perampanel seem well-tolerated and efficacious add-on ASDs; and a comprehensive framework of palliative and supportive care for high-grade glioma patients and their caregivers was proposed. No pharmacological agents have been shown in randomized controlled trials to significantly improve fatigue or neurocognition.ConclusionsSince the 2017 EANO palliative care guidelines, new insights have been reported regarding symptom management and end-of-life care, however, most recommendations remain unchanged. Early palliative care interventions are essential to define goals of care and minimize symptom burden in a timely fashion. Interventional studies that address pain, fatigue, and psychiatric symptoms as well as (the timing of) early palliative care are urgently needed. Show less
Background. Immune checkpoint inhibitors (ICI) have been a breakthrough for selected cancer patients, including those with brain metastases (BMs). Likewise, steroids have been an integral component... Show moreBackground. Immune checkpoint inhibitors (ICI) have been a breakthrough for selected cancer patients, including those with brain metastases (BMs). Likewise, steroids have been an integral component of symptomatic management of BM patients. However, clinical evidence on the interaction between ICI and steroids in BM patients is conflicting and has not adequately been summarized thus far. Hence, the aim of this study was to perform a systematic literature review and meta-analysis on the association between steroid use and overall survival (OS) in BM patients receiving ICI.Methods. A systematic literature search was performed. Pooled effect estimates were calculated using randomeffects models across included studies.Results. After screening 1145 abstracts, 15 observational studies were included. Fourteen studies reported sufficient data for meta-analysis, comprising 1102 BM patients of which 32.1% received steroids. In the steroid group, median OS ranged from 2.9 to 10.2 months. In the nonsteroid group, median OS ranged from 4.9 to 25.1 months. Pooled results demonstrated significantly worse OS (HR = 1.84, 95% CI 1.22-2.77) and systemic progression-free survival (PFS; HR = 2.00, 95% CI 1.37-2.91) in the steroid group. Stratified analysis showed a consistent effect across the melanoma subgroup; not in the lung cancer subgroup. No significant association was shown between steroid use and intracranial PFS (HR = 1.31, 95% Cl 0.42-4.07).Conclusions. Administration of steroids was associated with significantly worse OS and PFS in BM patients receiving ICI. Further research on dose, timing, and duration of steroids is needed to elucidate the cause of this association and optimize outcomes in BM patients receiving ICI. Show less
Background. Brain tumor patients are at high risk of impaired medical decision-making capacity (MDC), which can be ethically challenging because it limits their ability to give informed consent to... Show moreBackground. Brain tumor patients are at high risk of impaired medical decision-making capacity (MDC), which can be ethically challenging because it limits their ability to give informed consent to medical treatments or participation in research. The European Association of Neuro-Oncology Palliative Care Multidisciplinary Task Force performed a systematic review to identify relevant evidence with respect to MDC that could be used to give recommendations on how to cope with reduced MDC in brain tumor patients.Methods. A literature search in several electronic databases was conducted up to September 2019, including studies with brain tumor and other neurological patients. Information related to the following topics was extracted: tools to measure MDC, consent to treatment or research, predictive patient- and treatment-related factors, surrogate decision making, and interventions to improve MDC.Results. A total of 138 articles were deemed eligible. Several structured capacity-assessment instruments are available to aid clinical decision making. These instruments revealed a high incidence of impaired MDC both in brain tumors and other neurological diseases for treatment- and research-related decisions. Incapacity appeared to be mostly determined by the level of cognitive impairment. Surrogate decision making should be considered in case a patient lacks capacity, ensuring that the patient's "best interests" and wishes are guaranteed. Several methods are available that may help to enhance patients' consent capacity.Conclusions. Clinical recommendations on how to detect and manage reduced MDC in brain tumor patients were formulated, reflecting among others the timing of MDC assessments, methods to enhance patients' consent capacity, and alternative procedures, including surrogate consent. Show less
Background. Breast cancer (BC) brain metastases (BM) can have discordant hormonal or human epidermal growth factor receptor 2 (HER2) expression compared with corresponding primary tumors. This... Show moreBackground. Breast cancer (BC) brain metastases (BM) can have discordant hormonal or human epidermal growth factor receptor 2 (HER2) expression compared with corresponding primary tumors. This study aimed to describe incidence, predictors, and survival outcomes of discordant receptors and associated subtype switching in BM.Methods. BCBM patients seen at 4 tertiary institutions who had undergone BM resection or biopsy were included. Surgical pathology reports were retrospectively assessed to determine discordance between the primary tumor and the BCBM. In discordant cases, expression in extracranial metastases was also assessed.Results. In BM from 219 patients, prevalence of any discordance was 36.3%; receptor-specific discordance was 16.7% for estrogen, 25.2% for progesterone, and 10.4% for HER2. Because estrogen and progesterone were considered together for hormonal status, 50 (22.8%) patients switched subtype as a result; 20 of these switches were HER2 based. Baseline subtype predicted switching, which occurred in up to 37.5% of primary HR+ patients. Moreover, 14.8% of initially HER2-negative patients gained HER2 in the BM. Most (63.6%) discordant patients with extracranial metastases also had discordance between BM and extracranial subtype. Loss of receptor expression was generally associated with worse survival, which appeared to be driven by estrogen loss (hazard ratio = 1.80, P= 0.03). Patients gaining HER2 status (n =8) showed a nonsignificant tendency toward improved survival (hazard ratio = 0.64, P= 0.17).Conclusions. In this multicenter study, we report incidence and predictors of subtype switching, the risk of which varies considerably by baseline subtype. Switches can have clinical implications for prognosis and treatment choice. Show less
Patients with brain metastases (BM) from melanoma have an overall survival (OS) of 2-6 months after whole-brain radiotherapy. Targeted therapy (TT) is an effective treatment for BRAF-mutated... Show morePatients with brain metastases (BM) from melanoma have an overall survival (OS) of 2-6 months after whole-brain radiotherapy. Targeted therapy (TT) is an effective treatment for BRAF-mutated metastatic melanoma. Moreover, recent studies indicate intracranial responses of TT in patients with BM. We analyzed 146 patients with BM from BRAF-mutated melanoma treated with vemurafenib, dabrafenib, or dabrafenib+trametinib between 2010 and 2016. We determined clinical and radiological response, progression-free survival (PFS), and OS. Median OS of patients treated with dabrafenib+trametinib was 11.2 months [n=30; 95% confidence interval (CI): 6.8-15.7], 8.8 months for dabrafenib alone (n=31; 95% CI: 3.9-13.7), and 5.7 months for vemurafenib (n=85; 95% CI: 4.6-6.8). A significantly longer OS was observed in the dabrafenib+trametinib group than in the vemurafenib group (hazard ratio for death, 0.52; 95% CI: 0.30-0.89; P=0.02). Median intracranial PFS of all patients was 4.1 months. Median intracranial PFS for patients treated with dabrafenib+trametinib was 5.8 months (95% CI: 3.2-8.5), 5.7 months (95% CI: 3.0-8.4) for dabrafenib, and 3.6 months (95% CI: 3.5-3.8) for vemurafenib (P=0.54). A total of 63 (43%) patients had symptomatic BM. Intracranial disease control rate at 8 weeks in these patients was 65 versus 70% extracranially. Neurological symptoms improved in 46% of patients with symptomatic BM, whereas in 21%, they remained stable. Median OS in patients with BM from BRAF-mutated melanoma treated with dabrafenib+trametinib was significantly longer than for vemurafenib. Improvement of neurological symptoms was seen in almost half of the patients with symptomatic BM treated with TT. Show less
