Scoring model based on the signature of non-m6A-related neoantigen-coding lncRNAs assists in immune microenvironment analysis and TCR-neoantigen pair selection in gliomas

Scoring model based on the signature of non-m6A-related neoantigen-coding lncRNAs assists in immune microenvironment analysis and TCR-neoantigen pair selection in gliomas

Abstract Background Small peptides encoded by long non-coding RNAs (lncRNAs) have attracted attention for their various functions. Recent studies indicate that these small peptides participate in immune responses and antigen presentation. However, the significance of RNA modifications remains unclea...

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Bibliographic Details
Main Authors: Wenbo Zhao, Yibo Wu, Feihu Zhao, Zhiyi Xue, Wenyu Liu, Zenxin Cao, Zhimin Zhao, Bin Huang, Mingzhi Han, Xingang Li
Format: Article
Language:English
Published: BMC 2022-10-01
Series:Journal of Translational Medicine
Subjects:
Glioma
LncRNA
Non-m6A modification
Machine learning
Neoantigen
Immunotherapy
Online Access:https://doi.org/10.1186/s12967-022-03713-z

Internet

https://doi.org/10.1186/s12967-022-03713-z

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