Molecular Subtypes and Risk Prediction Model Based on Malignant Cell Differentiation Trajectories in Breast Cancer.

ABSTRACT: Breast cancer (BRCA) is characterised by complex cellular heterogeneity and differentiation hierarchies, which play a crucial role in bone metastasis and therapeutic resistance. However, existing classification systems remain inadequate in capturing these complexities, limiting their effectiveness in guiding treatment strategies. To address this gap, we integrated single-cell RNA-seq profiles, spatial transcriptomes, along with 1097 bulk RNA-seq profiles of TCGA-BRCA cohort to dissect the molecular landscape of BRCA. By performing UMAP analysis, we identified nine tumour clusters and three spatially distinct spot types (immune, stromal and malignant spots) and further delineated 11 differentiation states from 2493 malignant spots. Through clustering, monocle 2 pseudo-time and prognostic an

SUBMITTER: Yan P 

PROVIDER: S-EPMC12332891 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature