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Integrating Single-Cell, Bulk, and Spatial Transcriptomics Unveils a Novel Ribosome Biogenesis-Related Prognostic
Shengze Chen1,2,3, Pengfei Du1,2,3, Qiang Luo1,2,3
1First Clinical College, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
International Journal of Molecular Sciences
|July 15, 2026
Summary
This study developed a 14-gene prognostic model for lung adenocarcinoma (LUAD) based on ribosome biogenesis. The model predicts patient outcomes and reveals links between ribosome biogenesis, tumor immunity, and the pro-oncogenic role of RPS19BP1.
Area of Science:
- Oncology
- Molecular Biology
- Bioinformatics
Background:
- Ribosome biogenesis dysregulation is a hallmark of cancer, but its prognostic significance in lung adenocarcinoma (LUAD) is not fully understood.
- Understanding these mechanisms is crucial for developing novel therapeutic strategies in LUAD.
Purpose of the Study:
- To develop a prognostic model for LUAD based on ribosome biogenesis-related genes (RBRGs).
- To investigate the association between this prognostic model and the tumor immune microenvironment.
- To explore the functional role of key genes within the model in LUAD progression.
Main Methods:
- Integrated single-cell and bulk RNA sequencing data to identify RBRGs.
- Constructed a 14-gene prognostic risk score using Cox and LASSO regression.
- Validated the model in independent LUAD cohorts (TCGA, GSE68571, GSE8894).
- Assessed correlations with tumor mutation burden, immune infiltration, and immunotherapy response.
- Performed in vitro experiments to study the function of RPS19BP1.
Main Results:
- Identified 262 RBRGs and developed a 14-gene prognostic model with significant predictive value across three cohorts.
- The low-risk group showed an immunocompetent tumor microenvironment, while the high-risk group displayed an immunosuppressive phenotype.
- Knockdown of RPS19BP1 inhibited LUAD cell proliferation, migration, and invasion, identifying it as a pro-oncogenic factor.
Conclusions:
- The developed multi-omics prognostic model has potential for LUAD patient stratification.
- The model is linked to distinct immune infiltration patterns, offering insights into LUAD's tumor microenvironment.
- RPS19BP1 is identified as a key pro-oncogenic regulator in LUAD, suggesting it as a potential therapeutic target.
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