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ABSTRACT: Background
Cell death patterns can give therapeutic and biological clues that facilitate the development of individualized treatments for this lethal form of skin cancer.Methods
We employed unsupervised clustering to establish robust classifications based on the four kinds of cell death-associated gene expression of 462 melanoma patients in the Cancer Genome Atlas (TCGA) and tested their reproducibility in two independent melanoma cohorts of 558 patients. We then used dimensionality reduction of graph learning to display the different characteristics of cell death patterns and immune microenvironments.Results
We examined 570 cell death-associated gene expression data of melanoma patients for exploration, independent verification, and comprehensive classification of
SUBMITTER: Wan Q
PROVIDER: S-EPMC9747944 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature