Deep visual multi-omics links morphology and molecular programs in clear cell renal cell carcinoma

ABSTRACT: CcRCC exhibits striking ITH at morphological and genetic levels, complicating treatment and contributing to disease progression. CcRCCs with rhabdoid differentiation are highly aggressive tumors characterized by distinct histopathologies. However, the relationship between morphology, molecular alterations, and tumor behavior remains unclear. Here, we present Deep Visual Multi-Omics, an approach integrating digital pathology, morphology-guided single-cell isolation and ultra-sensitive multi-omics profiling to link cell morphologies to their molecular underpinnings. Across five tumors, we profiled ~40,000 AI-classified and expert curated cells. We identified progressive molecular dysregulation across cells with increasing histopathological grade coexisting within heterogeneous tumors as well

SUBMITTER: Hella, A Bolck 

PROVIDER: S-SCDT-10_1038-S44321-026-00484-8 | biostudies-other |

REPOSITORIES: biostudies-other