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The treatment of glioblastoma, the most prevalent malignant tumor in the central nervous system, poses considerable challenges. Glioblastoma multiforme, classified as a grade Ⅳ highly malignant brain glioma by the World Health Organization, is typically managed through a combination of surgery, postoperative chemotherapy, and radiotherapy. The treatment of glioblastoma is complicated by its infiltrative nature, genetic heterogeneity, and presence of the blood-brain barrier. Almost all cases of glioblastoma experience recurrence despite aggressive therapy, exploring the development of updated molecular treatment strategies that can improve overall efficacy. A crucial aspect in modern neurosurgery is the precise delineation of brain regions in terms of their anatomy and function. It serves as the fundamental basis for investigating variations in the distribution of brain gliomas. Hence, this review will elucidate the origin of glioblastomas and analyze the potential factors contributing to the spatially specific distribution of gliomas on the basis of a theoretical framework of brain connectomics research. Molecular characteristics, information pathways, tumor microenvironment landscape, and immunology will inform the analysis. We aim to identify novel biomolecular targets and therapeutic pathways to gain scientific insights for effective glioblastoma treatment.

Increasing evidence indicates that glioma topographic location is linked to the cellular origin, molecular alterations and genetic profile. This research aims to (a) reveal the underlying mechanisms of tumor location predilection in glioblastoma multiforme (GBM) and lower‐grade glioma (LGG) and (b) leverage glioma location features to predict prognosis. MRI images from 396 GBM and 190 LGG (115 astrocytoma and 75 oligodendroglioma) patients were standardized to construct frequency maps and analyzed by voxel‐based lesion‐symptom mapping. We then investigated the spatial correlation between glioma distribution with gene expression in healthy brains. We also evaluated transcriptomic differences in tumor tissue from predilection and nonpredilection sites. Furthermore, we quantitively characterized tumor anatomical localization and explored whether it was significantly related to overall survival. Finally, we employed a support vector machine to build a survival prediction model for GBM patients. GBMs exhibited a distinct location predilection from LGGs. GBMs were nearer to the subventricular zone and more likely to be localized to regions enriched with synaptic signaling, whereas astrocytoma and oligodendroglioma tended to occur in areas associated with the immune response. Synapse, neurotransmitters and calcium ion channel‐related genes were all activated in GBM tissues coming from predilection regions. Furthermore, we characterized tumor location features in terms of a series of tumor‐to‐predilection distance metrics, which were able to predict GBM 1‐year survival status with an accuracy of 0.71. These findings provide new perspectives on our understanding of tumor anatomic localization. The spatial features of glioma are of great value in individual therapy and prognosis prediction. [ABSTRACT FROM AUTHOR]

Gliomas are primary brain tumors and are among the most malignant types. Adult-type diffuse gliomas can be classified based on their histological and molecular signatures as IDH-wildtype glioblastoma, IDH-mutant astrocytoma, and IDH-mutant and 1p/19q-codeleted oligodendroglioma. Recent studies have shown that each subtype of glioma has its own specific distribution pattern. However, the mechanisms underlying the specific distributions of glioma subtypes are not entirely clear despite partial explanations such as cell origin. To investigate the impact of multi-scale brain attributes on glioma distribution, we constructed cumulative frequency maps for diffuse glioma subtypes based on T1w structural images and evaluated the spatial correlation between tumor frequency and diverse brain attributes, including postmortem gene expression, functional connectivity metrics, cerebral perfusion, glucose metabolism, and neurotransmitter signaling. Regression models were constructed to evaluate the contribution of these factors to the anatomic distribution of different glioma subtypes. Our findings revealed that the three different subtypes of gliomas had distinct distribution patterns, showing spatial preferences toward different brain environmental attributes. Glioblastomas were especially likely to occur in regions enriched with synapse-related pathways and diverse neurotransmitter receptors. Astrocytomas and oligodendrogliomas preferentially occurred in areas enriched with genes associated with neutrophil-mediated immune responses. The functional network characteristics and neurotransmitter distribution also contributed to oligodendroglioma distribution. Our results suggest that different brain transcriptomic, neurotransmitter, and connectomic attributes are the factors that determine the specific distributions of glioma subtypes. These findings highlight the importance of bridging diverse scales of biological organization when studying neurological dysfunction., (© 2024 UICC.)

Objective: This study aimed to assess the current status of early enteral nutrition (EN) support among patients diagnosed with acute pancreatitis (AP) and analyze the factors influencing its duration. The findings aimed to provide guidance for the development of tailored EN support protocols for pancreatitis patients., Methods: A convenience sampling method was employed, and 51 patients diagnosed with acute pancreatitis (AP) were enrolled from the Gastroenterology Department of Zhoushan Hospital between May 2020 and June 2021. Data analysis included the categorization of patients based on their early enteral nutrition (EN) support duration, followed by thorough statistical analysis, including logistic regression, to identify the factors impacting EN duration., Results: The mean duration of early EN support among AP patients was (93.57 ± 43.29) hours. A mere 13.73% of patients initiated EN within 48 hours of admission. Upon categorizing patients by the median duration of EN support, multiple logistic regression analysis revealed several significant risk factors influencing the duration of EN in AP patients, including patient age, underlying medical conditions, severity of pancreatitis, nutritional status, and blood lipase levels (P < .05)., Conclusion: The study highlights the significant influence of disease severity and patients' functional status on the duration of early EN support in AP cases. It emphasizes the importance of a comprehensive patient assessment by medical professionals to determine the optimal timing for initiating EN support.

Background: Cancer immunotherapy represents a promising treatment approach for malignant gliomas but is hampered by the limited number of ubiquitously expressed tumor antigens and the profoundly immunosuppressive tumor microenvironment. We identified cluster of differentiation (CD)70 as a novel immunosuppressive ligand and glioma target., Methods: Normal tissues derived from 52 different organs and primary and recurrent low-grade gliomas (LGGs) and glioblastomas (GBMs) were thoroughly evaluated for CD70 gene and protein expression. The association between CD70 and patients' overall survival and its impact on T-cell death was also evaluated. Human and mouse CD70-specific chimeric antigen receptors (CARs) were tested respectively against human primary GBMs and murine glioma lines. The antitumor efficacies of these CARs were also examined in orthotopic xenograft and syngeneic models., Results: CD70 was not detected in peripheral and brain normal tissues but was constitutively overexpressed by isocitrate dehydrogenase (IDH) wild-type primary LGGs and GBMs in the mesenchymal subgroup and recurrent tumors. CD70 was also associated with poor survival in these subgroups, which may link to its direct involvement in glioma chemokine productions and selective induction of CD8+ T-cell death. To explore the potential for therapeutic targeting of this newly identified immunosuppressive axis in GBM tumors, we demonstrate that both human and mouse CD70-specific CAR T cells recognize primary CD70+ GBM tumors in vitro and mediate the regression of established GBM in xenograft and syngeneic models without illicit effect., Conclusion: These studies identify a previously uncharacterized and ubiquitously expressed immunosuppressive ligand CD70 in GBMs that also holds potential for serving as a novel CAR target for cancer immunotherapy in gliomas., (© The Author(s) 2017. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com)