Clinico-genomic features predict distinct metastatic phenotypes in cutaneous melanoma.

ABSTRACT: Metastasis drives mortality and morbidity in cancer. While some patients develop broad metastatic disease across multiple organs, others exhibit organ-specific spread. To identify mechanisms underlying metastatic organotropism, we analyzed clinico-genomic data from over 7,000 patients with metastatic cutaneous melanoma in three independent cohorts (one primary discovery and two validation cohorts including a nationwide electronic health record-derived deidentified database), leveraging machine learning approaches to clinical data. We found that female sex and increased tumor mutational burden associate with decreased metastatic potential, while older age associates with more lung and adrenal metastases. Using unsupervised analyses, patients clustered into five metastatic patterns: a "highl

SUBMITTER: Aprati TJ 

PROVIDER: S-EPMC11838241 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature