Results 181 to 190 of about 155,739 (370)
The study identifies a novel circular RNA derived from the TP53 gene (circTP53), which is upregulated in HNSCC and correlates with poor patient prognosis. It demonstrates that circTP53 promotes HNSCC progression by interacting with USP10, stabilizing both proteins, enhancing deubiquitination of p53, and thereby influencing tumor growth, with its ...
Yin Wang+11 more
wiley +1 more source
Intratracheal neomycin alters pulmonary microbiota, activating the vagus nerve via lung brain‐derived neurotrophic factor/tropomyosin receptor kinase B (BDNF/TrkB) pathway, further projecting to nucleus of solitary tract (NTS), then dorsal raphe nucleus (DRN), where activated serotoninergic neurons increase brain serotonin, alleviating migraine.
Biying Liu+7 more
wiley +1 more source
Salivary metabolic signatures associated with lung cancer are systematically characterized through a self‐developed high‐throughput mass spectrometry Lab‐on‐a‐Chip platform. Utilizing these metabolic fingerprints, SalivaMLD, an integrated machine‐learning‐driven classification model is developed and demonstrates superior performance in detecting lung ...
Shuang Lin+17 more
wiley +1 more source
Interventions for the treatment of oral and oropharyngeal cancers: surgical treatment [PDF]
core +1 more source
Collaborative Duality of CircGLIS3(2) RNA and Protein in human Wound Repair
CircGLIS3(2), a circRNA transiently upregulated in dermal fibroblasts during acute wound healing, is induced by IL‐1α and TGF‐β. Its RNA activates fibroblasts into matrix‐secreting cells, while its encoded protein enhances proliferation. The RNA stabilizes PCOLCE, and the protein interacts with BTF3, collectively accelerating wound repair. Abstract The
Guanglin Niu+20 more
wiley +1 more source
Neoplasms induced by megavoltage radiation in the head and neck region [PDF]
Richard A. Steeves, J. P. Bataini
openalex +1 more source
Simultaneous (non‐epidermoid) neoplasms involving the head and neck [PDF]
Melvin Strauss, Francis E. Sharkey
openalex +1 more source
DeepCCDS leverages prior knowledge and self‐supervised learning to model cancer driver signals for drug sensitivity prediction. It captures complex regulatory patterns enabling more biologically informed representations. The framework outperforms existing methods across datasets, offering improved accuracy and interpretability.
Jiashuo Wu+10 more
wiley +1 more source