Scientists map four distinct melanocyte types to predict uveal melanoma progression

Researchers used digital imaging and cluster analysis to identify four separate melanocyte populations in uveal melanoma, potentially enabling earlier disease detection and personalized treatment strategies. The finding could reshape how oncologists screen and stage this deadly eye cancer, opening pathways for more targeted therapeutic interventions.

Originaltitel: Digital morphometry and cluster analysis identifies four types of melanocyte during uveal melanoma progression