Head and neck cancer of unknown primary: unveiling primary tumor sites through machine learning on DNA methylation profiles.

ABSTRACT:

Background

The unknown tissue of origin in head and neck cancer of unknown primary (hnCUP) leads to invasive diagnostic procedures and unspecific and potentially inefficient treatment options for patients. The most common histologic subtype, squamous cell carcinoma, can stem from various tumor primary sites, including the oral cavity, oropharynx, larynx, head and neck skin, lungs, and esophagus. DNA methylation profiles are highly tissue-specific and have been successfully used to classify tissue origin. We therefore developed a support vector machine (SVM) classifier trained with publicly available DNA methylation profiles of commonly cervically metastasizing squamous cell carcinomas (n = 1103) in order to identify the primary tissue of origin of our own cohort of squamous cell hn

SUBMITTER: Stark L 

PROVIDER: S-EPMC10964705 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature