Results 211 to 220 of about 198,685 (310)
Predicting Different Recurrence Risk in HNSCC Using Circulating Inflammatory and T‐Cell Biomarkers
ABSTRACT Objective Head and neck squamous cell carcinoma (HNSCC) lacks reliable prognostic circulating biomarkers, and the role of the immune system in its progression remains incompletely understood. This study aimed to evaluate the prognostic value of systemic inflammatory and immune biomarkers in surgically treated patients with primary oral cavity (
Riccardo Gili +10 more
wiley +1 more source
CCDC86 modulates immune cell infiltration and disease progression in head and neck squamous cell carcinoma. [PDF]
He F +5 more
europepmc +1 more source
ABSTRACT Objective With regulatory approval of HPV‐specific immunotherapy for recurrent respiratory papillomatosis (RRP) and growing experience with systemic bevacizumab, a management algorithm incorporating these medical treatments is warranted. Data Sources and Methods RRP Foundation (RRPF) Key Opinion Leaders offer a proposed management algorithm ...
Simon R. Best +17 more
wiley +1 more source
Outcomes and prognostic markers in locally advanced head and neck squamous cell carcinoma underwent chemoradiotherapy. [PDF]
Bölek H +4 more
europepmc +1 more source
ABSTRACT Background Human papillomavirus (HPV) infections are a major cause of oral lesions, and in individuals living with HIV, lesions such as focal epithelial hyperplasia (FEH) may persist or exhibit atypical features, potentially progressing to more severe conditions if untreated.
Juliana Cristina Oliverio de Araújo +4 more
wiley +1 more source
Clinical Outcomes of Pembrolizumab in Head and Neck Squamous Cell Carcinoma Subsites Excluded from the KEYNOTE-048 Trial. [PDF]
Yamashita G +19 more
europepmc +1 more source
Comparative Mechanistic Insights and Therapeutic Potential of Pembrolizumab, Durvalumab, and Ipilimumab as Immune Checkpoint Inhibitors in the Targeted Management of Oral and Head and Neck Squamous Cell Carcinoma [PDF]
Piotr Kawczak +2 more
openalex +1 more source
Intra‐tumour heterogeneity is present in gastrointestinal tumours at the single‐cell level. Cell cycling, EMT, MYC and TNF‐α are the four main consensus meta‐programs in gastrointestinal tumours. Then, a prognostic model based on intratumoral heterogeneity was constructed using an artificial intelligence‐derived prognostic index.
Zhizhan Ni +12 more
wiley +1 more source

