Abdominal myosteatosis measured with computed tomography predicts poor outcomes in patients with glioblastoma.

Background: Alterations in cellular metabolism affect cancer survival and can manifest in metrics of body composition. We investigated the effects of various body composition metrics on survival in patients with glioblastoma (GBM).

Methods: We retrospectively analyzed patients who had an abdominal and pelvic computed tomography (CT) scan performed within 1 month of diagnosis of GBM (178 participants, 102 males, 76 females, median age: 62.

Metabolic Fitness of NAC1-Deficient Regulatory T Cells in the Tumor Microenvironment Fuels Tumor Growth.

The nucleus accumbens-associated protein-1 (NAC1) has recently emerged as a pivotal factor in oncogenesis by promoting glycolysis. Deletion of NAC1 in regulatory T cells (Tregs) has been shown to enhance FoxP3 stability, a suppressor of glycolysis. This study delves into the intriguing dual role of NAC1, uncovering that Tregs-specific deletion of NAC1 fosters metabolic fitness in Tregs, thereby promoting tumorigenesis.

CT Angiography of the Upper Extremities: Review of Acute Arterial Entities.

Historically, evaluation of the upper extremity vasculature was performed using digital subtraction angiography. With the advancement of cross-sectional imaging and submillimeter isotropic data acquisition, CT angiography (CTA) has become an excellent noninvasive diagnostic tool for evaluation of the vasculature of the upper extremities. CTA allows quick evaluation of vessel patency and irregularity and achievement of the anatomic detail needed in preoperative planning.

Independent evaluation of an 11-CpG panel for age estimation in blood.

DNA methylation patterns have emerged as reliable markers for age estimation, offering potential applications in forensic investigations, namely, in cases where there is no information about a possible suspect, in the identification of victims of mass disasters, or in immigration cases when assessing the age of individuals seeking asylum. This study aimed to evaluate the 11-CpG panel proposed by Aliferi et al. (2022) for age estimation.