Multi-modal characterization of metabolic and immune gene clusters in adrenocortical carcinoma treatment.

ABSTRACT: Adrenocortical carcinoma (ACC) is an uncommon and aggressive endocrine malignancy, characterized by limited therapeutic options and considerable variability in patient outcomes. The challenge is to combine the complex information of ACC with artificial intelligence (AI) and clinical and pathology data to achieve precision medicine and improve patient prognosis. We developed the Steroid-related Immune Score (SIS) using multi-modal analysis of genomics, digital pathology, and artificial intelligence and validated it in external datasets. In addition, we conducted single-cell RNA sequencing (scRNA-seq) of small samples and in vitro functional experiments. SIS delivered a stable performance with an AUC of 0.8 ± 0.01 in the ResNet50 and Vision Transformer-B16 models. We validated the best model

SUBMITTER: Hao W 

PROVIDER: S-EPMC12446433 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature