Publications by authors named "Qiman Yang"
Article Synopsis
- Single-cell technology offers a more comprehensive view of tumors by analyzing both tumor cells and their surrounding microenvironments, potentially improving diagnosis compared to traditional methods that focus solely on pathology.
- Despite its advantages, single-cell RNA sequencing (scRNA-seq) faces significant issues, including complex data structures and low signal clarity, which hinder its diagnostic use.
- The authors introduce a graph neural network framework designed for diagnosing primary liver tumors by leveraging scRNA-seq data and intercellular communication networks, demonstrating accurate differentiation between malignant and benign tumors and validating their findings with public datasets.
Background: Perineural invasion (PNI) is associated with metastasis in malignancies, including intrahepatic cholangiocarcinoma (ICC), and is correlated with poor prognosis.
Methods: The study included three large cohorts: ZS-ICC and TMA cohorts from our team, MSK cohort from a public database, and a small cohort named cohort 4. Prognostic implications of PNI were investigated in MSK cohort and TMA cohort.