Developing high-resolution metastasis signatures for improved cancer prognosis using single-cell RNA sequencing data:A case study in lung adenocarcinoma
Abstract:Background
Metastasis remains the reason for high cancer mortality and it is a valuable predictive factor in cancer prognosis. Single-cell RNA sequencing (scRNA-seq) can reveal cellular heterogeneity in metastasis microenvironment and capture high-resolution signatures for improved cancer prediction.
Methods
An integrated analysis framework was designed for metastatic lung adenocarcinoma (LUAD) scRNA-seq profiles and we identified 9 key prognostic genes (KPGs) that were trained and validated in 407 internal … Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.