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Introduction No study has examined structural brain changes specifically associated with chemotherapy in a lung cancer population. The aim of this cross-sectional study was to assess differences in brain structure between small-cell lung cancer patients (C+) following chemotherapy, non–small-cell lung cancer patients (C−) before chemotherapy and healthy controls (HC). Methods Twenty-eight small-cell lung cancer patients underwent a neuropsychological assessment and a structural magnetic resonance imaging, including T1-weighted and diffusion tensor imaging to examine gray matter density and white matter (WM) integrity, respectively, 1 month following completion of platinum-based chemotherapy. This group was compared with 20 age and education-matched non–small-cell lung cancer patients before receiving chemotherapy and 20 HC. Results Both C+ and C− groups exhibited cognitive impairment compared with the HC group. The C+ group performed significantly worse than HC in verbal fluency and visuospatial subtests; C− performed significantly worse than both C+ and HC in verbal memory. Voxel-based morphometry analysis revealed lower gray matter density in the insula and parahippocampal gyrus bilaterally, and left anterior cingulate cortex in C+ compared with HC. Diffusion tensor imaging indices showed focal decreased WM integrity in left cingulum and bilateral inferior longitudinal fasciculus in the C+ group and more widespread decreased integrity in the C− group compared with the HC group. Conclusion This study demonstrates that lung cancer patients exhibit cognitive impairment before and after chemotherapy. Before the treatment, C− showed verbal memory deficits as well as a widespread WM damage. Following treatment, the C+ group performed exhibited lower visuospatial and verbal fluency abilities, together with structural gray matter and WM differences in bilateral regions integrating the paralimbic system.

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Research in reversal learning has mainly focused on the functional role of dopamine and striatal structures in driving behavior on the basis of classic reinforcement learning mechanisms. However, recent evidence indicates that, beyond classic reinforcement learning adaptations, individuals may also learn the inherent task structure and anticipate the occurrence of reversals. A candidate structure to support such task representation is the hippocampus, which might create a flexible representation of the environment that can be adaptively applied to goaldirected behavior. To investigate the functional role of the hippocampus in the implementation of anticipatory strategies in reversal learning, we first studied, in 20 healthy individuals (11 women), whether the gray matter anatomy and volume of the hippocampus were related to anticipatory strategies in a reversal learning task. Second, we tested 20 refractory temporal lobe epileptic patients (11 women) with unilateral hippocampal sclerosis, who served as a hippocampal lesion model. Our results indicate that healthy participants were able to learn the task structure and useittoguidetheirbehaviorandoptimizetheirperformance.Participants'abilitytoadoptanticipatorystrategiescorrelatedwiththegraymatter volume of the hippocampus. In contrast, hippocampal patients were unable to grasp the higher-order structure of the task with the same success than controls. Present results indicate that the hippocampus is necessary to respond in an appropriately flexible manner to high-order environments, and disruptions in this structure can render behavior habitual and inflexible.

Our study failed to provide evidence to support the use of monthly long-acting somatostatin analogue schedule in recurrent high-grade meningiomas, as none of our patients demonstrated RPR. The modest median PFS of 4-5 months along with the unknown natural history of recurrent meningiomas render the use of this therapy against these aggressive brain tumors uncertain.

IMPORTANCEEncephalitis is a severe immune-related adverse event secondary to treatment with immune checkpoint inhibitors (ICIs). The spectrum of ICI-induced encephalitis (ICI-iE) ranges from disease that resolves fully to lethal forms. Moreover, ICIs may unmask a paraneoplastic encephalitis. To our knowledge, the factors associated with ICI-iE prognosis are unknown.OBJECTIVES To evaluate the presentation of ICI-iE and to identify features helpful in assessing outcomes.EVIDENCE REVIEW This systematic review pooled case series from the published literature (n = 77) and medical records from 1 center (n = 5) to assess the association between the form of ICI-iE presentation and its prognosis. Eligibility criteria included references identified by searches of PubMed and Web of Knowledge databases in the English literature from June 2000 (first patient dose of ipilimumab) to April 17, 2020, that examined patients with encephalitis with presumed autoimmune etiologic features induced by ICIs. Information regarding clinical, cerebrospinal fluid, and neuroimaging (magnetic resonance imaging) features, as well as treatment given, were extracted. FINDINGS A total of 82 patients (52 men [63%]; median age, 61.0 years [interquartile range, 52.5-70.0 years]) were included. Most patients presented with focal syndromes (39 [48%])or meningoencephalitis (36 [44%]). Seven patients (9%) had nonclassifiable ICI-iE. Neuronal autoantibodies were detected in 23 patients with focal syndromes and 1 patient with nonclassifiable ICI-iE. Most autoantibodies were onconeuronal (17 of 24 [71%]), targeting intracellular antigens. Patients without a focal syndrome or with a negative-antibody focal syndrome had a good prognosis (49 of 55 [89%]). Among patients with autoantibodies, those with anti-glutamic acid decarboxylase or anticell surface responded to treatment and had a favorable prognosis (100%). However, patients with other autoantibodies had poor outcomes (17 of 24 [71%]). Antineuronal autoantibodies (13 of 24 [54%] vs 5 of 41 [12%]; P < .001), focal syndrome (16 of 39 [41%] vs 4 of 43 [9%]; P = .001), and abnormal magnetic resonance imaging findings (14 of 39 [36%] vs 4 of 32 [13%]; P = .02) were associated with poor outcomes. Conversely, fever (21 of 23 [91%] vs 41 of 59 [70%]; P = .04) and more inflammatory changes in cerebrospinal fluid (30 of 31 [97%] vs 21 of 33 [64%]; P = .001) were associated with a better prognosis.CONCLUSIONS AND RELEVANCE Immune checkpoint inhibitors may induce mainly 2 different encephalitic syndromes: a focal limbic or extralimbic encephalitis and a meningoencephalitis. Immune checkpoint inhibitor-induced encephalitis is associated with an overall favorable outcome, with a low rate of fatal events. An undetected preexisting paraneoplastic encephalitic syndrome may be triggered by ICIs, and this type of syndrome has the worst outcome among all the different types of ICI-induced encephalitis syndromes. Clinical presentation and systematic measurement of autoantibodies will be a helpful guide for the therapeutic st...

This longitudinal study documents moderate neuropsychological deficits together with notable brain-specific structural changes (in GM and WM) in patients with SCLC after chemotherapy and PCI, suggesting that chemotherapy and especially PCI are associated with the development of cognitive and structural brain toxic effects.

Some patients with epithelial-cell cancers develop leptomeningeal carcinomatosis (LC), a severe complication difficult to diagnose and with an adverse prognosis. This study explores the contribution of flow cytometry immunophenotyping (FCI) to the diagnosis and prognosis of LC. Cerebrospinal fluid (CSF) samples from patients diagnosed with LC were studied using FCI. Expression of the epithelial-cell adhesion molecule (EpCAM) was the criterion used to identify the epithelial cells. To test the diagnostic precision, 144 patients (94 diagnosed with LC) were included. The prognostic value of FCI was evaluated in 72 patients diagnosed with LC and eligible for therapy. Compared with cytology, FCI showed greater sensitivity and negative predictive value (79.79 vs. 50%; 68.85 vs. 51.55%, respectively), but lower specificity and positive predictive value (84 vs. 100%; 90.36 vs. 100%, respectively). The multivariate analysis revealed that the percentage of CSF EpCAM+ cells predicted an increased risk of death (HR: 1.012, 95% CI 1.000-1.023; p=0.041). A cut-off value of 8% EpCAM+ cells in the CSF distinguished two groups of patients with statistically significant differences in overall survival (OS) (p=0.018). This cut-off value kept its statistical significance regardless of the absolute CSF cell-count. The FCI study of the CSF improved the sensitivity for diagnosing LC, but refinement of the technique is needed to improve specificity. Furthermore, quantification of CSF EpCAM+ cells was revealed to be an independent prognostic factor for OS in patients with LC eligible for therapy. An 8% cut-off value contributed to predicting clinical evolution before initiation of therapy.