Exploring the Link between Inflammatory Biomarkers and Head and Neck Cancer: Understanding the Impact of Smoking as a Cancer-Predisposing Factor.
Jarosław NuszkiewiczJoanna WróblewskaMarlena BudekJolanta CzuczejkoAlina WoźniakMarta Maruszak-PardaKarolina Szewczyk-GolecPublished in: Biomedicines (2024)
Head and neck cancer (HNC) is associated with significant morbidity globally, with smoking recognized as a key risk factor. This study investigates the interplay between smoking and inflammatory biomarkers in HNC development. The study involved 50 HNC patients, divided into smoking and non-smoking groups, and a control group of 30 healthy individuals. Serum levels of 48 cytokines, chemokines, growth factors, and other inflammatory markers were meticulously assessed. Significant differences in the levels of an extensive panel of inflammatory markers were observed between the patient groups and healthy controls. Elevated macrophage colony-stimulating factor (M-CSF) in both HNC groups implicated increased activity in pathways known for immunomodulation, proliferation, and angiogenesis during HNC cancerogenesis. In contrast, non-smokers with HNC demonstrated higher levels of interleukin 10 (IL-10) and interleukin 15 (IL-15), suggesting a more robust immune response. Platelet-derived growth factor BB (PDGF-BB) levels were particularly high in smokers with HNC. Smoking seems to alter the levels of crucial biomarkers in HNC, potentially affecting disease progression and responses to treatment. The data indicate that smokers may experience a more aggressive cancer phenotype, while non-smokers maintain a profile suggestive of a more active and effective immune response against HNC.
Keyphrases
- smoking cessation
- growth factor
- immune response
- replacement therapy
- end stage renal disease
- papillary thyroid
- chronic kidney disease
- newly diagnosed
- magnetic resonance
- risk factors
- ejection fraction
- adipose tissue
- squamous cell
- toll like receptor
- electronic health record
- computed tomography
- magnetic resonance imaging
- prognostic factors
- dendritic cells
- angiotensin ii
- combination therapy
- smooth muscle
- artificial intelligence
- data analysis