Single-cell RNA sequencing reveals tumor heterogeneity, microenvironment, and drug-resistance mechanisms of recurrent glioblastoma.

Glioblastomas are highly heterogeneous brain tumors. Despite the availability of standard treatment for glioblastoma multiforme (GBM), i.e., Stupp protocol, which involves surgical resection followed by radiotherapy and chemotherapy, glioblastoma remains refractory to treatment and recurrence is inevitable. Moreover, the biology of recurrent glioblastoma remains unclear. Increasing evidence has shown that intratumoral heterogeneity and the tumor microenvironment contribute to therapeutic resistance. However, the interaction between intracellular heterogeneity and drug resistance in recurrent GBMs remains controversial. The aim of this study was to map the transcriptome landscape of cancer cells and the tumor heterogeneity and tumor microenvironment in recurrent and drug-resistant GBMs at a single-cell resolution and further explore the mechanism of drug resistance of GBMs. We analyzed six tumor tissue samples from three patients with primary GBM and three patients with recurrent GBM in which recurrence and drug resistance developed after treatment with the standard Stupp protocol using single-cell RNA sequencing. Using unbiased clustering, nine major cell clusters were identified. Upregulation of the expression of stemness-related and cell-cycle-related genes was observed in recurrent GBM cells. Compared with the initial GBM tissues, recurrent GBM tissues showed a decreased proportion of microglia, consistent with previous reports. Finally, vascular endothelial growth factor A expression and the blood-brain barrier permeability were high, and the O6 -methylguanine DNA methyltransferase-related signaling pathway was activated in recurrent GBM. Our results delineate the single-cell map of recurrent glioblastoma, tumor heterogeneity, tumor microenvironment, and drug-resistance mechanisms, providing new insights into treatment strategies for recurrent glioblastomas.

The efficacy and safety of using a combination of rocuronium and sugammadex for awake craniotomy anesthesia: A randomized clinical trial.

BACKGROUND: Awake craniotomy (AC) is a neurosurgical method for the resection of brain lesions located in eloquent areas to achieve maximal and safe resection. A patient's arousal quality is essential for the success of the operation. This study compared the arousal time and quality after AC achieved by 2 different drug combinations: rocuronium with sugammadex and propofol with remifentanil. METHODS: This prospective, randomized, controlled trial included 42 adult patients undergoing AC with a laryngeal mask, who were randomly assigned to either a rocuronium-sugammadex group (RS; n = 21) or a propofol-remifentanil without muscle relaxant group (nRS; n = 21). The primary outcomes were the arousal time and arousal quality. The secondary outcomes included the number of laryngeal mask airway (LMA) adjustments and diaphragmatic excursion length. RESULTS: This study included 42 participants. The median (IQR) arousal time was 13.5 minutes (7-20) in the RS group and 21 minutes (16.5-26.5) in the nRS group (P = .005). There was no significant difference in arousal quality between the 2 groups (P = .229). LMA adjustments were significantly less frequent in the nRS group than in the RS group [0.25 times (±0.62) vs 1.26 times (±1.17), P = .001]. Adverse events, such as spontaneous movements and brain swelling, were more frequent in the nRS group than in the RS group. CONCLUSIONS: Using a combination of rocuronium and sugammadex with propofol and remifentanil may shorten the awakening time, reduce the duration of laryngeal mask adjustment, and do not affect the arousal quality and postoperative outcomes for patients undergoing awake craniotomy, compared to propofol and remifentanil alone.

Interactive Virtual Ankle Movement Controlled by Wrist sEMG Improves Motor Imagery: An Exploratory Study.

Virtual reality (VR) techniques can significantly enhance motor imagery training by creating a strong illusion of action for central sensory stimulation. In this study, we establish a precedent by using surface electromyography (sEMG) of contralateral wrist movement to trigger virtual ankle movement through an improved data-driven approach with a continuous sEMG signal for fast and accurate intention recognition. Our developed VR interactive system can provide feedback training for stroke patients in the early stages, even if there is no active ankle movement. Our objectives are to evaluate: 1) the effects of VR immersion mode on body illusion, kinesthetic illusion, and motor imagery performance in stroke patients; 2) the effects of motivation and attention when utilizing wrist sEMG as a trigger signal for virtual ankle motion; 3) the acute effects on motor function in stroke patients. Through a series of well-designed experiments, we have found that, compared to the 2D condition, VR significantly increases the degree of kinesthetic illusion and body ownership of the patients, and improves their motor imagery performance and motor memory. When compared to conditions without feedback, using contralateral wrist sEMG signals as trigger signals for virtual ankle movement enhances patients' sustained attention and motivation during repetitive tasks. Furthermore, the combination of VR and feedback has an acute impact on motor function. Our exploratory study suggests that the sEMG-based immersive virtual interactive feedback provides an effective option for active rehabilitation training for severe hemiplegia patients in the early stages, with great potential for clinical application.