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Identification of prognostic genes associated with phase separation in lung adenocarcinoma and construction of prognostic models

  • 0Department of Thoracic Surgery, The First Affiliated Hospital of Anhui Medical University, Jixi Road, Shushan District, Hefei City, 230022, Anhui, China.
Scientific Reports +

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October 3, 2025

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October 3, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

This study identifies seven prognostic genes related to liquid-liquid phase separation in lung adenocarcinoma (LUAD). The developed risk model accurately predicts patient survival, aiding personalized LUAD treatment strategies.

Area Of Science

  • Oncology
  • Genomics
  • Bioinformatics

Background

  • Lung adenocarcinoma (LUAD) has a poor prognosis despite being a common cancer subtype.
  • Liquid-liquid phase separation-related genes (LRGs) show promise in predicting prognosis for certain tumors.
  • Identifying LRGs for LUAD prognosis is crucial for clinical applications.

Purpose Of The Study

  • To identify and validate LRGs that can predict prognosis in LUAD.
  • To develop a prognostic risk model for LUAD patients.
  • To explore the relationship between prognostic genes, immune characteristics, and cell types in LUAD.

Main Methods

  • Differential expression analysis and dataset intersection to identify DE-LRGs.
  • Lasso regression and multivariate Cox regression to build a prognostic risk model.
  • Nomogram construction, immune profiling, and single-cell RNA sequencing (scRNA-seq) analysis.

Main Results

  • 389 DE-LRGs were identified, and 7 prognostic genes were selected for the risk model.
  • The high-risk group showed significantly lower survival rates; the nomogram demonstrated high predictive accuracy.
  • Distinct immune profiles and drug sensitivities were observed between high- and low-risk groups. GRIA1 and BCAN were highly expressed in fibroblasts and mast cells, respectively.

Conclusions

  • A 7-gene prognostic model accurately predicts LUAD patient survival.
  • The model offers valuable insights for improving LUAD prognosis and guiding personalized treatment.
  • The study highlights the role of specific LRGs in LUAD progression and immune microenvironment.

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