Integration of single cell and bulk transcriptomic analyses identifies FAM189A2 as a key prognostic gene in lung cancer.

ABSTRACT:

Background

Lung cancer remains the leading cause of cancer-related mortality. Single-cell RNA sequencing (scRNA-seq) enables high-resolution mapping of tumor microenvironment, but how malignant cell states connect to patient outcomes and therapeutic vulnerabilities is not fully understood.

Methods

We analyzed scRNA-seq profiles from 13 primary lung tumors and matched normal lung tissues (48,149 cells). Malignant versus non-malignant epithelial cells were defined by inferCNV, co-expression programs resolved with Hotspot, transcription factor regulons inferred by pySCENIC, and differentiation potential estimated by CytoTRACE and diffusion pseudotime. Key malignant programs were cross-checked in an independent LUAD scRNA-seq cohort (GSE131907). Program signatures were projected

SUBMITTER: Guo P 

PROVIDER: S-EPMC12816179 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature