Identification of Neoantigen from Non-Coding Region by RNC-RNA-Sequence in Mouse Lung Cancer

Daxuan Wang, Ziyang Feng, Changjian Lin, Tianjian Xie, Wujin Li, Famiao Wu, Zhengwei Chen, Yan Wang, Jianxin Huang

Article ID: 6926
Vol 36, Issue 4, 2022
DOI: https://doi.org/10.23812/j.biol.regul.homeost.agents.20223604.121
Received: 8 September 2022; Accepted: 8 September 2022; Available online: 8 September 2022; Issue release: 8 September 2022

Abstract

Background: Tumor-specific neoantigens are ideal targets for cancer immunotherapy, but few of these have been identified thus far. An analysis strategy was developed for neoantigen in non-coding regions by RNC (ribosome-nascent chain complex)-RNA-seq in mouse lung cancer. Methods: In LLC (Lewis lung carcinoma) cell lines, RNC extraction, RNC-RNA extraction, RNC-RNA seq and bioinformatics analysis were carried out. The immunogenicity and specificity were determined by immunizing mice. Results: Twenty neoantigens were identified from non-coding regions. Seventeen long peptides were synthesized successfully and 5/17 of these neoantigens were found to be immunogenic. In tumor transplant models, the non-coding neoantigen vaccines immunization achieved in vivo tumor control in protective and therapeutic settings. Conclusions: In mice, the non-coding neoantigen vaccines can provoke anti-tumour effect against lung cancer. This can form the basis for future study of RNC-RNA-seq, as a method to identify non-coding neoantigens.


Keywords

non-coding;neoantigens;RNC (ribosome-nascent chain complex)-RNA;lung cancer;immunotherapy;mouse


References

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