Survival and data-driven phenotypes in head and neck cancer.

ABSTRACT: Head and neck cancer (HNC) is the seventh most common cancer worldwide, with a 5-year overall survival of 50-60%. Despite known survival factors, unexpected deaths underscore the need to refine pre-treatment survival predictions. This study aimed to identify novel data-driven HNC patient phenotypes, associated features and predict overall survival using deep survival clustering model VaDeSC. We used a retrospective cohort of 1341 HNC patients from Helsinki University Hospital, utilizing their pre-treatment clinical and demographic data from electronic health records. We identified six previously unrecognized HNC phenotypes with distinct survival patterns, highlighting the significance of BMI, sleep apnoea, TNM stage, tumour site, treatment intention, gender, and age-related treatment modal

SUBMITTER: Heinolainen A 

PROVIDER: S-EPMC11836055 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature