A nomogram for predicting the risk of major postoperative complications for patients with meningioma.

Purpose: To identify risk factors for major postoperative complications in meningioma patients and to construct and validate a nomogram that identify patients at high risk of these complications.

Methods: The medical records of meningioma patients who underwent surgical resection in our hospital from January 2018 to December 2020 were collected. The patients were divided into a training set (815 cases from the main campus in 2018 and 2019) and a validation set (300 cases from two other campuses in 2020).

EGFR alterations in glioblastoma play a role in antitumor immunity regulation.

The epidermal growth factor receptor (EGFR) is the most frequently altered gene in glioblastoma (GBM), which plays an important role in tumor development and anti-tumor immune response. While current molecular targeted therapies against the EGFR signaling pathway and its downstream key molecules have not demonstrated favorable clinical outcomes in GBM. Whereas tumor immunotherapies, especially immune checkpoint inhibitors, have shown durable antitumor responses in many cancers.

The Attenuation Value Within the Non-hypodense Region on Non-contrast Computed Tomography of Spontaneous Cerebral Hemorrhage: A Long-Neglected Predictor of Hematoma Expansion.

Background And Purpose: The ability of attenuation value of the non-hypodense region of hematoma in non-contrast computed tomography (NCCT) for predicting hematoma expansion (HE) remains unclear. Our purpose is to explore this relationship.

Methods: Two cohorts of patients were collected for analysis.

Application of Intraoperative Contrast-Enhanced Ultrasound in the Resection of Brain Tumors.

Objective: To investigate the value of routine intraoperative ultrasound (IU) and intraoperative contrast-enhanced ultrasound (ICEUS) in the surgical treatment of brain tumors, and to explore the utilization of ICEUS for the removal of the remnants surrounding the resection cavity.

Methods: In total, 51 patients who underwent operations from 2012 to 2018 due to different tumors in the brain were included in this study. The clinical data were evaluated retrospectively.

POLE2 facilitates the malignant phenotypes of glioblastoma through promoting AURKA-mediated stabilization of FOXM1.

Glioblastoma (GBM) is a type of brain cancer with high morbidity and mortality worldwide. The clinical significance, biological roles, and underlying molecular mechanisms of DNA poly ε-B subunit (POLE2) in GBM were investigated in the study. Firstly, the Cancer Genome Atlas (TCGA) database found that POLE2 was highly expressed in GBM.

MYC-mediated upregulation of PNO1 promotes glioma tumorigenesis by activating THBS1/FAK/Akt signaling.

PNO1 has been reported to be involved in tumorigenesis, however, its role in glioma remains unexplored. In the present study, PNO1 expression in glioma from on-line databases, cDNA, and tissue microarrays was upregulated and associated with poor prognosis. PNO1 knockdown inhibits tumor cell growth and invasion both in vitro and in vivo; whereas PNO1 overexpression promoted cell proliferation and invasion in vitro.

Knockdown of DEPDC1B inhibits the development of glioblastoma.

Background: Glioblastoma (GBM) is the most common primary malignant brain tumor in adults with a poor prognosis. DEPDC1B (DEP domain-containing protein 1B) has been shown to be associated with some types of malignancies. However, the role and underlying regulatory mechanisms of DEPDC1B in GBM remain elusive.

[The reference range of cerebrovascular hemodynamics indexes parameters].

Objective: To study the reference range of cerebrovascular hemodynamics indexes (CVHI) in a sampling population.

Methods: Fourteen thousand, four hundred and eighty participants without history of stroke or exposure to risk factors were screened from 26 cities in Northeast China, North China, East China, Northwest China, South China, and Southwest China in the prospective study on stroke intervention. CVHI were checked and 95% confidence intervals were calculated using normal distribution methods, which were grouped by age, sex, area, and check positions.