Results 91 to 100 of about 120,136 (313)
Pancreatic neuroendocrine tumors frequently silence MEN1 through epigenetic mechanisms. Here, SIRT7 recruits DNMT1 to the MEN1 promoter, drives hypermethylation, and enhances DNA repair. Inhibiting SIRT7 restores MEN1, reduces MRN complex abundance, impairs double‐strand break repair, and sensitizes PanNET models to radiation, supporting SIRT7 as a ...
Jianyun Jiang +11 more
wiley +1 more source
Hepatocellular carcinoma and multidrug resistance: Past, present and new challenges for therapy improvement [PDF]
Hepatocellular carcinoma (HCC) is the most common malignancy of the liver and the third cause of cancer death worldwide. Chronic hepatitis due to HBV and HCV infection are two major risk factors for HCC worldwide.
Cuestas, María Luján +2 more
core +1 more source
The engineered TF‐Fe@LC nanoplatform programs paraptotic death via multipath ROS amplification that disrupts redox homeostasis, provoking mitochondrial dysfunction, autophagic blockade, and ER stress. This caspase‐independent process elicits robust immunogenic cell death, combining with αPD‐L1 to activate systemic CD8+ T‐cell immunity and suppress ...
Zhe Yu +9 more
wiley +1 more source
Cer24:1 levels are reduced in neutrophilic asthma and inversely correlate with disease severity and airway neutrophilia. Restoring Cer24:1 suppresses pathogenic Th17 differentiation by engaging EP2 on CD4+ T cells, thereby dampening the JAK2–STAT3–RORγt axis and reducing IL‐17 production.
Huan Liu +11 more
wiley +1 more source
Background Renal cell carcinoma (RCC) was historically considered to be less responsive to radiation therapy (RT) compared to other cancer indications.
Hari K. Rachamala +7 more
doaj +1 more source
Copper-cysteamine and methods of use [PDF]
Structure and luminescence properties of a new Cu-Cyteamine (Cu-Cy) crystal material are provided. The crystal structure of the Cu-Cy is determined by single crystal X-ray diffraction.
Chen, Wei, Ma, Lun
core +2 more sources
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
This study reports the development of a fully humanized bispecific T cell engager targeting IL13RA2, a tumor‐associated antigen enriched in glioblastoma. This off‐the‐shelf immunotherapy drives potent, antigen‐dependent T cell activation and tumor killing, and prolongs survival in experimental GBM and other solid tumors models without detectable off ...
Joseph T. Duffy +16 more
wiley +1 more source
Glioblastoma multiforme (GBM) is characterized by aggressive growth, extensive vascularization, high metabolic malleability, and a striking capacity for therapy resistance.
Srikar Alapati, Swapan K. Ray
doaj +1 more source
This review surveys nanoparticle‐based strategies to enhance adoptive cell therapy, particularly CAR‐T cell approaches, in solid tumor treatment. It describes how nanoparticles can improve tumor immunogenicity and T‐cell infiltration while reducing toxicity, and how they enable in vivo CAR‐T cell generation.
Erica Frostegård +19 more
wiley +1 more source

