HAVOC: Small-scale histomic mapping of cancer biodiversity across large tissue distances using deep neural networks.

ABSTRACT: Intratumoral heterogeneity can wreak havoc on current precision medicine strategies because of challenges in sufficient sampling of geographically separated areas of biodiversity distributed across centimeter-scale tumor distances. To address this gap, we developed a deep learning pipeline that leverages histomorphologic fingerprints of tissue to create "Histomic Atlases of Variation Of Cancers" (HAVOC). Using a number of objective molecular readouts, we demonstrate that HAVOC can define regional cancer boundaries with distinct biology. Using larger tumor specimens, we show that HAVOC can map biodiversity even across multiple tissue sections. By guiding profiling of 19 partitions across six high-grade gliomas, HAVOC revealed that distinct differentiation states can often coexist and be reg

SUBMITTER: Dent A 

PROVIDER: S-EPMC10541015 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature