Head and Neck Cancer Patients' Survival According to HPV Status, miRNA Profiling, and Tumour Features-A Cohort Study.
Ivana ŠimićKsenija BozinovicNina Milutin GašperovMario KordićEna PešutLuka ManojlovićMagdalena GrceEmil DediolIvan SabolPublished in: International journal of molecular sciences (2023)
Head and neck cancers (HNC) are a heterogeneous group of tumours mainly associated with tobacco and alcohol use and human papillomavirus (HPV). Over 90% of all HNC are squamous cell carcinomas (HNSCC). Sample material from patients diagnosed with primary HNSCC ( n = 76) treated with surgery as primary treatment at a single centre were assessed for HPV genotype, miR-9-5p, miR-21-3p, miR-29a-3p and miR-100-5p expression levels. Clinical and pathological data were collected from medical records. Patients were enrolled between 2015 and 2019 and followed-up until November 2022. Overall survival, disease-specific survival and disease-free survival were assessed and correlated with clinical, pathological, and molecular data. Kaplan-Meier and Cox proportional hazard regression was used to assess different risk factors. In the study, male gender, HPV-negative HNSCC (76.3%) mostly located in the oral region (78.9%) predominated. Most patients had stage IV cancer (47.4%), and the overall survival rate was 50%. HPV was found not to affect survival, indicating that in this population, classic risk factors predominate. The presence of both perineural and angioinvasion was strongly associated with survival in all analyses. Of all miRNAs assessed, only upregulation of miR-21 was consistently shown to be an independent predictor of poor prognosis and may thus serve as a prognostic biomarker in HNSCC.
Keyphrases
- poor prognosis
- end stage renal disease
- free survival
- ejection fraction
- newly diagnosed
- risk factors
- chronic kidney disease
- high grade
- prognostic factors
- cell proliferation
- long non coding rna
- healthcare
- squamous cell carcinoma
- peritoneal dialysis
- minimally invasive
- squamous cell
- machine learning
- single molecule
- big data
- patient reported
- childhood cancer