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- Title
A novel immunogenomic classification for prognosis in non-small cell lung cancer.
- Authors
Tang, Shu; Xu, Liqing; Wu, Zhanshen; Wen, Qiang; Li, Hui; Li, Na
- Abstract
Objective: To facilitate immunotherapy and prognostic assessment of non-small cell lung cancer (NSCLC), we established a novel immunogenomic classification to provide valid identification criteria. Methods: The immune enrichment scores were calculated by single sample gene set enrichment analysis (ssGSEA) and clustered into Immunity_L and Immunity_H, and the reliability of this classification was demonstrated. Immune microenvironment score and immune cell infiltration analysis of NSCLC were also performed. Randomly divided into training group and test group, a prognosis-related immune profile was developed using least absolute shrinkage and selection operator (LASSO) and stepwise COX proportional hazards model to construct a prognostic mode. Results: The risk score for this immune profile was identified as an independent prognostic factor and can be used as a powerful prognostic tool to refine tumor immunotherapy. Our study identified two NSCLC classifications based on immunomic profiling, Immunity_H and Immunity_L. Conclusion: In conclusion, Immunogenomic classification can distinguish the immune status of different types of NSCLC patients and contribute to the immunotherapy of NSCLC patients.
- Subjects
NON-small-cell lung carcinoma; PROPORTIONAL hazards models; DISEASE risk factors; IMMUNITY; PROGNOSIS
- Publication
Journal of Cancer Research & Clinical Oncology, 2023, Vol 149, Issue 12, p10951
- ISSN
0171-5216
- Publication type
Article
- DOI
10.1007/s00432-023-04887-9