Ontology highlight
ABSTRACT: Background
Breast cancer shows a highly complex tumor microenvironment by containing various cell types. Identifying prognostic cell populations in the tumor microenvironment will improve the mechanistical understanding of breast cancer and facilitate the development of new breast cancer therapies by targeting the tumor microenvironment. The development of single-cell sequencing reveals various cell types, states, and lineages within the context of heterogenous breast tumors, but identifying phenotype-associated subpopulations is challenging.Results
Here, we applied Scissor (single-cell identification of subpopulations with bulk Sample phenotype correlation) to integrate single cell and bulk data of breast cancer, and found that MHC-deficient tumor cells, FABP5+ macrophages
SUBMITTER: Huang L
PROVIDER: S-EPMC10278529 | biostudies-literature | 2023 Jun
REPOSITORIES: biostudies-literature