Multi-scale geometric network analysis identifies melanoma immunotherapy response gene modules.

ABSTRACT: Melanoma response to immune-modulating therapy remains incompletely characterized at the molecular level. In this study, we assess melanoma immunotherapy response using a multi-scale network approach to identify gene modules with coordinated gene expression in response to treatment. Using gene expression data of melanoma before and after treatment with nivolumab, we modeled gene expression changes in a correlation network and measured a key network geometric property, dynamic Ollivier-Ricci curvature, to distinguish critical edges within the network and reveal multi-scale treatment-response gene communities. Analysis identified six distinct gene modules corresponding to sets of genes interacting in response to immunotherapy. One module alone, overlapping with the nuclear factor kappa-B pat

SUBMITTER: Murgas KA 

PROVIDER: S-EPMC10937921 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature