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Novel immunogenic cell death-related risk signature to predict prognosis and immune microenvironment in lung adenocarcinoma

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Abstract

Purpose

Immunogenic cell death (ICD) is a type of regulated cell death (RCD) which was discovered to activate adaptive immunity. To date, the effect of ICD on lung adenocarcinoma (LUAD) remains unclear. In this research, we will study the role of ICD-related genes (ICDG) in LUAD.

Methods

RNA sequencing and clinical data were gathered from TCGA-LUAD cohorts and GEO database. Using unsupervised cluster analysis, three clusters were identified with distinctive immune characteristics and significant overall survival based on 18 ICDG. Using LASSO Cox regression, three genes were identified and used to construct the prognosis signature. The association between the 3-ICDG risk signature and immune microenvironment analysis, somatic mutation, and enriched molecular pathways was investigated.

Results

Consensus clustering separated the LUAD samples into three clusters (ICDcluster A, B and C), and ICDcluster B had the best prognosis. Different TME cell infiltration characteristics and biological behavior were found in three ICD clusters. Prognostic risk model was contrasted based on the 3 best prognostic ICD-related genes. Subsequently, vitro experiments verified the above analysis results. The high-risk group showed a poor prognosis and enrichment of cancer promoting signal pathway. Multivariate analysis indicated that this 3-ICDG prognostic model might be an accurate prediction parameter for LUAD. Moreover, conducting immune related analysis, we found that the 3-ICDG risk signature was characterized by an immune-active subtype on account of the high infiltration of immune-active cells.

Conclusion

This study expands our cognition of ICD in LUAD microenvironment, excavated prognostic biomarkers, and provided potential value for guiding immunotherapy and chemotherapy.

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Acknowledgements

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Funding

This work was supported by the “Six-one” Project for High-level Health Talents (LGY2016037), Nantong Key Laboratory of Translational Medicine in Cardiothoracic Diseases, Nantong Clinical Medical Research Center of Cardiothoracic Disease, and Institution of Translational Medicine in Cardiothoracic Diseases in Affiliated Hospital of Nantong University.

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Authors and Affiliations

Authors

Contributions

QL, YT, and TW: contributed equally to this work. Study concept and design: JS and YZ; data collection and processing: QL, TW and JZ; technical and material support: QL, YT and TW; experiment implementation and date analysis: QL, YT, TW and JZ; paper writing: QL and YT; funding support and study supervision: JS and YZ. All authors contributed to the study and approved the final manuscript.

Corresponding authors

Correspondence to Youlang Zhou or Jiahai Shi.

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Conflict of interest

The authors declare that they have no competing interests.

Ethics approval and consent to participate

This study was approved by the Ethics Committee of the Affiliated Hospital of Nantong University (No. S20200314-012).

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Supplementary Information

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432_2022_4555_MOESM1_ESM.jpg

Supplementary file1Supplementary Fig. 1. KM curves of OS regarding different clinical features. KM, Kaplan–Meier; OS, overall survival (JPG 1125 KB)

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Li, Q., Tang, Y., Wang, T. et al. Novel immunogenic cell death-related risk signature to predict prognosis and immune microenvironment in lung adenocarcinoma. J Cancer Res Clin Oncol 149, 307–323 (2023). https://doi.org/10.1007/s00432-022-04555-4

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  • DOI: https://doi.org/10.1007/s00432-022-04555-4

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