Development of a prognostic model for lung adenocarcinoma polarity-related genes and analysis of immune landscape

Hongqiu Xu ¹, Wenqiang Du ¹, Xuelong Jing ¹

⁰Department of General Medicine, Huai'an Hospital of Huai'an City, Huai'an City, Jiangsu Province, China.

Biotechnology and Applied Biochemistry +

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March 13, 2024

View abstract on PubMed

Summary

This study identifies ten polarity-related genes (PRGs) that predict lung adenocarcinoma (LUAD) patient outcomes. These genes aid in risk stratification and may guide immune therapy decisions for LUAD.

Area Of Science

Oncology
Genomics
Molecular Biology

Background

Lung adenocarcinoma (LUAD) prognosis remains poor despite treatment advances.
The role of cell polarity in LUAD invasion and metastasis is known, but its prognostic value is unclear.

Purpose Of The Study

To investigate the prognostic significance of polarity-related genes (PRGs) in LUAD.
To develop a PRG-based prognostic model for LUAD patients.

Main Methods

Differential gene expression analysis of TCGA-LUAD data.
Construction and validation of a prognostic model using Cox and LASSO regression.
Analysis of immune landscape, TMB, and drug sensitivity in risk groups.

Main Results

Ten PRGs were identified and formed a robust prognostic model for LUAD.
The model accurately predicted overall survival and stratified patients into distinct risk groups.
Low-risk patients showed higher immune infiltration and potential for immunotherapy benefit; high-risk patients had higher TMB.

Conclusions

PRGs are significantly linked to LUAD prognosis and can serve as independent prognostic factors.
The developed model offers valuable risk stratification and prognosis prediction for LUAD.
Findings suggest potential therapeutic strategies and highlight the role of PRGs in LUAD progression and immune response.

Keywords:

TMB cell polarity immune lung adenocarcinoma prognostic model