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Spatial Dynamics of Tumor Cell Plasticity in Lung Adenocarcinoma Revealed by Region-Specific Single Cell
Anna A Khozyainova1, Maxim E Menyailo1,2, Vera G Subrakova1
1Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia.
Genes, Chromosomes & Cancer
|December 27, 2025
Summary
Tumor cell plasticity, including epithelial-mesenchymal transition (EMT) and stemness, shows spatial differences in lung adenocarcinoma. EMT correlates with poor overall survival, while stemness is linked to reduced progression-free survival.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Tumor cell plasticity is crucial for cancer progression and treatment resistance.
- Understanding the spatial dynamics of plasticity, such as epithelial-mesenchymal transition (EMT) and stemness, is vital but poorly understood in lung adenocarcinoma (LUAD).
Purpose of the Study:
- To investigate the spatial distribution of EMT and stemness in LUAD.
- To determine the prognostic relevance of these plasticity features and identify associated biomarkers.
Main Methods:
- Single-cell RNA sequencing (scRNA-seq) was performed on LUAD tumor fragments from different regions (core, core-adjacent, edge).
- Stemness was assessed using CytoTRACE2, EMT using UCell and Hallmark gene signatures.
- Prognostic relevance was evaluated using Scissor, and key genes were validated via immunohistochemistry.
Main Results:
- LUAD exhibits significant spatial heterogeneity in tumor cell plasticity.
- Stemness potential was higher at the tumor edge, whereas EMT was more prominent in the core.
- Higher EMT scores correlated with poor overall survival, and stemness with poor progression-free survival.
- MYC-targets v1 signature genes PCBP1 and PA2G4 were identified as potential biomarkers for poor prognosis and were localized in tumor cells.
Conclusions:
- Tumor cell plasticity features display distinct spatial patterns within LUAD.
- EMT and stemness are spatially segregated and have differential prognostic implications.
- PCBP1 and PA2G4 represent promising biomarkers for predicting poor prognosis in LUAD.

