The accumulation of myeloid-derived suppressor cells participates in abdominal infection-induced tumor progression through the PD-L1/PD-1 axis.

Gastric cancer (GC) is the third leading cause of cancer-related deaths worldwide, with gastrectomy being the primary treatment option. Sepsis, a systemic inflammatory response to infection, may influence tumor growth by creating an immunosuppressive environment conducive to cancer cell proliferation and metastasis. Here, the effect of abdominal infection on tumor growth and metastasis was investigated through the implementation of a peritoneal metastasis model and a subcutaneous tumor model.

Effect of different doses of ciprofol on hemodynamics induced by general anesthesia in elderly diabetic patients undergoing spinal surgery: a double-blind, randomized, controlled study.

Background: To evaluate the safety and efficacy of different doses of ciprofol for the induction of general anesthesia in elderly patients with diabetes undergoing spinal surgery.

Methods: Ninety elderly diabetic patients scheduled for elective single-level posterior lumbar interbody fusion (PLIF) under general anesthesia were enrolled and randomly assigned to three groups according to the induction dose of ciprofol: group A (0.2 mg/kg), Group B (0.

Nomogram models for predicting outcomes in thyroid cancer patients with distant metastasis receiving iodine therapy.

This study aimed to establish and validate prognostic nomogram models for patients who underwent I therapy for thyroid cancer with distant metastases. The cohort was divided into training (70%) and validation (30%) sets for nomogram development. Univariate and multivariate Cox regression analyses were used to identify independent predictors for overall survival (OS) and progression-free survival (PFS).

C MAL: cascaded network-guided class-balanced multi-prototype auxiliary learning for source-free domain adaptive medical image segmentation.

Source-free domain adaptation (SFDA) has become crucial in medical image analysis, enabling the adaptation of source models across diverse datasets without labeled target domain images. Self-training, a popular SFDA approach, iteratively refines self-generated pseudo-labels using unlabeled target domain data to adapt a pre-trained model from the source domain. However, it often faces model instability due to incorrect pseudo-label accumulation and foreground-background class imbalance.

Health Risk of Heavy Metal and Implication for Ecological Threat in Soils Weathered from the Black Shale.

Heavy metals were analyzed in rhizosphere soils and rice grains collected from typical black shale areas. The concentrations of As, Cd, Cu, and Zn in the rhizosphere soil exceeded the current soil environmental quality standards. Cd exhibited the highest bioaccumulation capacity, with 45% of rice grains exceeding food safety limit.