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A DNA Replication Stress-Based Prognostic Model for Lung Adenocarcinoma
1Department of Cardiothoracic Surgery, The People's Hospital of Dazu District, Chongqing, 402360 China.
Acta Naturae
|November 1, 2023
Summary
This study developed a 10-gene model predicting lung adenocarcinoma (LUAD) prognosis based on DNA replication stress. The model identifies high-risk patients with poorer survival and potential immunotherapy benefits for low-risk patients.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Tumor cells experience constant DNA replication stress, a factor in cancer development.
- The prognostic significance of DNA replication stress in lung adenocarcinoma (LUAD) remains under-explored.
Purpose of the Study:
- To investigate the prognostic value of DNA replication stress-related genes (DNARSs) in LUAD.
- To develop and validate a predictive model for LUAD patient prognosis.
Main Methods:
- Identified differentially expressed genes (DEGs) related to DNARSs in the TCGA-LUAD dataset.
- Constructed a 10-gene prognostic model using Cox regression analysis.
- Validated the model using ROC curves, Kaplan-Meier survival analysis, and nomograms incorporating clinical data.
Main Results:
- The 10-gene model effectively predicted LUAD prognosis, with a high-risk group showing poorer survival.
- The Riskscore derived from the model was an independent prognostic predictor.
- Low-risk patients demonstrated increased immune cell infiltration and function, suggesting better immunotherapy response.
Conclusions:
- A novel 10-gene prognostic model for LUAD based on DNA replication stress was successfully developed and validated.
- The model aids in prognostic evaluation and can inform treatment strategies, predicting immunotherapy response and chemotherapy sensitivity.
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