Purpose: Recent increase in incidence of meningiomas suggests the need to search for new risk factors. Leptin, a potentially pro-angiogenic and proliferative agent, could be a candidate for this role, as its expression correlates with body mass index (BMI). Because development of meningioma has also been linked to sex hormones, bisphenol A (BPA), a known xenoestrogen, can also be taken into consideration as a potential risk factor. The aim of this study was to determine plasma concentrations of both substances in patients with meningiomas and to match it to patients with gliomas - a group of brain tumors less hormone- and BMI-dependent.
Materials & Methods: Concentrations of BPA and leptin were measured in plasma of 24 patients with low grade meningioma and in 29 patients with glioma, using gas chromatography-mass spectrometry (GC-MS) and ELISA kits, respectively. The concentrations of both substances in patients with neoplasms were interpreted in relation to their concentration in healthy population, published in recent reports.
Results: Free and conjugated BPA were present in both meningioma and glioma patients. Moreover, their concentrations far exceeded those reported in the healthy population. Nevertheless, the level of leptin revealed to be significantly higher in meningioma patients than in glioma patients.
Conclusions: Occurrence of both meningioma and glioma may be accompanied by increased concentrations of leptin and BPA. Further large-scale studies are needed to clarify whether the presence of both substances may play a role in pathogenesis or influence clinical course in patients with brain neoplasms.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.advms.2022.04.002 | DOI Listing |
Int J Mol Sci
January 2025
State Key Laboratory of Resource Insects, Medical Research Institute, Southwest University, Chongqing 400715, China.
Long non-coding RNAs (lncRNAs) play a pivotal role in regulating gene expression and are critically involved in the progression of malignant brain tumors, including glioblastoma, medulloblastoma, and meningioma. These lncRNAs interact with microRNAs (miRNAs), proteins, and DNA, influencing key processes such as cell proliferation, migration, and invasion. This review highlights the multifaceted impact of lncRNA dysregulation on tumor progression and underscores their potential as therapeutic targets to enhance the efficacy of chemotherapy, radiotherapy, and immunotherapy.
View Article and Find Full Text PDFBrain Sci
January 2025
Department of Neurosurgery, Royal Prince Alfred Hospital, Sydney 2050, Australia.
Background: Maximal safe resection is the objective of most neuro-oncological operations. Intraoperative magnetic resonance imaging (iMRI) may guide the surgeon to improve the extent of safe resection. There is limited evidence comparing the impact of iMRI on the rates of further resection between tumour types.
View Article and Find Full Text PDFNeuro Oncol
January 2025
Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Background: Central nervous system (CNS) tumors lead to cancer-related mortality in children. Genetic ancestry-associated cancer prevalence and outcomes have been studied, but is limited.
Methods: We performed genetic ancestry prediction in 1,452 pediatric patients with paired normal and tumor whole genome sequencing from the Open Pediatric Cancer (OpenPedCan) project to evaluate the influence of reported race and ethnicity and ancestry-based genetic superpopulations on tumor histology, molecular subtype, survival, and treatment.
Objective: To assist in the rapid clinical identification of brain tumor types while achieving segmentation detection, this study investigates the feasibility of applying the deep learning YOLOv5s algorithm model to the segmentation of brain tumor magnetic resonance images and optimizes and upgrades it on this basis.
Methods: The research institute utilized two public datasets of meningioma and glioma magnetic resonance imaging from Kaggle. Dataset 1 contains a total of 3,223 images, and Dataset 2 contains 216 images.
F1000Res
January 2025
Department of Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Introduction: Magnetic resonance imaging (MRI) is essential for brain imaging, but conventional methods rely on qualitative contrast, are time-intensive, and prone to variability. Magnetic resonance finger printing (MRF) addresses these limitations by enabling fast, simultaneous mapping of multiple tissue properties like T1, T2. Using dynamic acquisition parameters and a precomputed signal dictionary, MRF provides robust, qualitative maps, improving diagnostic precision and expanding clinical and research applications in brain imaging.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!