This study identifies OCIAD2 as a critical regulator of cisplatin resistance in HNSCC. Mechanistically, OCIAD2 stabilizes integrin β1 through a direct physical interaction and facilitates its SNX17‐dependent endosomal recycling to lipid raft microdomains. Targeting OCIAD2 disrupts integrin β1 trafficking and significantly enhances cisplatin sensitivity,
Li Cui +9 more
wiley +1 more source
Treatment efficiency and quality improvement via double imaging modality (DIM) versus single imaging modality (SIM) image-guided radiotherapy for prostate cancer. [PDF]
Mirzaei M +16 more
europepmc +1 more source
Combined ablation and radiation therapy of spinal metastases: A novel multimodality treatment approach [PDF]
Friedman, Michael V +5 more
core +1 more source
The functional schematic diagram of tumor associated neutrophils. Abstract Enhancing cervical cancer (CC) immunotherapy requires deciphering the heterogeneous tumor immune microenvironment (TIME), particularly neutrophil phenotypic dynamics. Here, 1) we collected 543 CC cases to find that patients with elevated neutrophil levels have a higher incidence
Xingyu Chang +7 more
wiley +1 more source
Organ-contour-driven auto-matching algorithm in image-guided radiotherapy. [PDF]
Kishigami Y +7 more
europepmc +1 more source
Stimuli‐Responsive Supramolecular Biomaterials for Cancer Theranostics
The ultimate goal of cancer theranostics is to get imaging agents and therapeutic cargo to tumor sites when and where they are required. “Smart” systems should be developed. This review discusses the characteristics of physiological stimuli, types and action modes of external stimuli, construction approaches and working principles, as well as ...
Wenting Hu +4 more
wiley +1 more source
Determination of patient-specific trajectory for biaxially rotational dynamic-radiation therapy using a new O-ring-shaped image guided radiotherapy system. [PDF]
Hirashima H +7 more
europepmc +1 more source
Research on Improving Radiotherapy Accuracy Based on Image-Guided Radiotherapy.
Huang S, Xiao Y, Li H, Li D.
europepmc +1 more source
This study develops a deep learning‐based pathomics model to predict survival outcomes in pancreatic cancer patients. The CrossFormer architecture analyzes routine H&E‐stained tissue slides, identifying key prognostic features including stromal patterns, cellular characteristics, and immune infiltration.
Qiangda Chen +22 more
wiley +1 more source
Correction: Guidelines and recommendations for radiologist staffing, education and training
Adrian P. Brady +6 more
doaj +1 more source

