Results 91 to 100 of about 202,668 (261)
This study introduces a foundation model‐based biomarker for risk stratification of pathological response in non‐small cell lung cancer. A Vision Mamba super‐resolution model standardizes heterogeneous CT images. A multi‐task Swin Transformer then fine‐tunes a pre‐trained lung foundation model to jointly optimize tumor segmentation and response ...
Yanglan Xu +10 more
wiley +1 more source
SERBP1 is required for efficient HR repair and cisplatin chemoresistance in lung adenocarcinoma
Resistance to cisplatin limits its clinical efficacy in LUAD patients and leads to poor prognosis. SERPINE1 mRNA binding protein 1 (SERBP1), an RNA-binding protein, is associated with tumorigenesis and progression. However, its specific role in cisplatin
Yifei Xie +10 more
doaj +1 more source
This study develops 16:0 LPC‐modified lipid nanoparticles (LPC‐LNPs) with cancer cell specificity by exploiting altered tumor lipid metabolism. LPC‐LNPs encapsulating Cd28 small interfering RNA (LPC‐LNP‐Cd28) knock down cancer cell CD28 without affecting T cells, inflame the tumor microenvironment, and overcome anti‐PD‐1 resistance.
Yangyang Chai +12 more
wiley +1 more source
FOS3D: A Fluorescence‐Enabled Toolkit for Characterizing a Three‐dimensional Osteosarcoma Model
FOS3D describes fluorescent (F) osteosarcoma (OS) cells in a tri‐dimensional (3D) model. The study comprises three phases: development, where biofabrication parameters are tuned to achieve cytocompatibility and tumor‐specific mechanical properties in cell‐laden gelatin methacryloyl constructs; validation, where whole‐well fluorescence reading is ...
William Humble +9 more
wiley +1 more source
This study presents a surfaceome‐reprogramming strategy for mutation‐independent lung cancer therapy by repurposing dexamethasone to prime mesenchymal stem cell‐derived nanovesicles. The engineered vesicles leverage multi‐valent interactions mediated by upregulated adhesion proteins, EPHA2, and NOTCH3.
Geunhye Kim +8 more
wiley +1 more source
Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo +14 more
wiley +1 more source
Abstract Background A methodology to assess the immune microenvironment (IME) of non‐small cell lung cancer (NSCLC) has not been established, and the prognostic impact of IME factors is not yet clear. Aims This study aimed to assess the IME factors and evaluate their prognostic values. Methods and Results We assessed CD8+ tumor‐infiltrating lymphocyte (
Yukihiro Terada +16 more
wiley +1 more source
Background Cisplatin resistance remains a major obstacle in the treatment of bladder cancer (BC). This study aimed to define molecular drivers of cisplatin resistance and to assess potential therapeutic targets that may help restore treatment ...
Tsung-Han Hsieh +6 more
doaj +1 more source
This study reveals a novel GC therapy targeting cholesterol homeostasis. Inhibiting the SCAP sterol‐sensing domain causes lethal ER stress via cholesterol accumulation, paradoxically forcing continuous synthesis that triggers ferroptosis. The findings link sterol sensing, metabolic dysregulation, and ferroptosis, establishing an anti‐cancer paradigm ...
Qianqian Xu +17 more
wiley +1 more source

