Inducible protein switches are currently limited for use in tissues and organisms because common inducers cannot be controlled with precision in space and time in optically dense settings. Here, we introduce a protein that can be reversibly toggled with a small change in temperature, a stimulus that is both penetrant and dynamic. This protein, called Melt (Membrane localization using temperature) oligomerizes and translocates to the plasma membrane when temperature is lowered.
View Article and Find Full Text PDFRationale And Objectives: Preoperative assessment of axillary lymph node (ALN) status is essential for breast cancer management. This study explores the use of photoacoustic (PA) imaging combined with attention-guided deep learning (DL) for precise prediction of ALN status.
Materials And Methods: This retrospective study included patients with histologically confirmed early-stage breast cancer from 2022 to 2024, randomly divided (8:2) into training and test cohorts.
Background: Small cell lung cancer (SCLC) is initially highly sensitive to chemotherapy, which often leads to significant tumor reduction. However, the majority of patients eventually develop resistance, and the disease is further complicated by its "cold" tumor microenvironment, characterized by low tumor immunogenicity and limited CD8+ T cell infiltration. These factors contribute to the poor response to immunotherapy in many cases of extensive-stage SCLC (ES-SCLC).
View Article and Find Full Text PDFObjective: This study aimed to explore the predictive value of baseline CT body composition and its early changes on recurrence-free survival (RFS) following radical gastrectomy, while also assessing potential sex-related differences.
Methods: We conducted a retrospective analysis of gastric cancer (GC) patients with confirmed pathology from October 2019 to May 2023. All patients underwent preoperative and postoperative CT scans to assess visceral fat area (VFA), subcutaneous fat area (SFA), skeletal muscle area (SMA), and skeletal muscle density (SMD), along with calculating their respective rates of change.
In this study, a pyrolysis-gas chromatography/mass spectrometry method was established to quantify microplastics (MPs) released from plastic food containers during rinsing and migration. The inner surface of actual samples was rinsed with deionized water, and the MPs in rinse water were collected through a glass fiber membrane with pore size of 1 μm. Subsequently, thoroughly cleaned polypropylene (PP) food packaging containers were selected for migration tests under different simulants, migration temperatures, and migration times.
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