Evaluation of the antitumor effect of neoantigen peptide vaccines derived from the translatome of lung cancer

Emerging evidence suggests that tumor-specific neoantigens are ideal targets for cancer immunotherapy. However, how to predict tumor neoantigens based on translatome data remains obscure. Through the extraction of ribosome-nascent chain complexes (RNCs) from LLC cells, followed by RNC-mRNA extractio...

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Veröffentlicht in:Cancer Immunology, Immunotherapy : CII Immunotherapy : CII, 2024-05, Vol.73 (7), p.129, Article 129
Hauptverfasser: Lian, Fenbao, Yang, Haitao, Hong, Rujun, Xu, Hang, Yu, Tingting, Sun, Gang, Zheng, Guanying, Xie, Baosong
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container_issue 7
container_start_page 129
container_title Cancer Immunology, Immunotherapy : CII
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creator Lian, Fenbao
Yang, Haitao
Hong, Rujun
Xu, Hang
Yu, Tingting
Sun, Gang
Zheng, Guanying
Xie, Baosong
description Emerging evidence suggests that tumor-specific neoantigens are ideal targets for cancer immunotherapy. However, how to predict tumor neoantigens based on translatome data remains obscure. Through the extraction of ribosome-nascent chain complexes (RNCs) from LLC cells, followed by RNC-mRNA extraction, RNC-mRNA sequencing, and comprehensive bioinformatic analysis, we successfully identified proteins undergoing translatome and exhibiting mutations in the cells. Subsequently, novel antigens identification was analyzed by the interaction between their high affinity and the Major Histocompatibility Complex (MHC). Neoantigens immunogenicity was analyzed by enzyme-linked immunospot assay (ELISpot). Finally, in vivo experiments in mice were conducted to evaluate the antitumor effects of translatome-derived neoantigen peptides on lung cancer. The results showed that ten neoantigen peptides were identified and synthesized by translatome data from LLC cells; 8 out of the 10 neoantigens had strong immunogenicity. The neoantigen peptide vaccine group exhibited significant tumor growth inhibition effect. In conclusion, neoantigen peptide vaccine derived from the translatome of lung cancer exhibited significant tumor growth inhibition effect.
doi_str_mv 10.1007/s00262-024-03670-0
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However, how to predict tumor neoantigens based on translatome data remains obscure. Through the extraction of ribosome-nascent chain complexes (RNCs) from LLC cells, followed by RNC-mRNA extraction, RNC-mRNA sequencing, and comprehensive bioinformatic analysis, we successfully identified proteins undergoing translatome and exhibiting mutations in the cells. Subsequently, novel antigens identification was analyzed by the interaction between their high affinity and the Major Histocompatibility Complex (MHC). Neoantigens immunogenicity was analyzed by enzyme-linked immunospot assay (ELISpot). Finally, in vivo experiments in mice were conducted to evaluate the antitumor effects of translatome-derived neoantigen peptides on lung cancer. The results showed that ten neoantigen peptides were identified and synthesized by translatome data from LLC cells; 8 out of the 10 neoantigens had strong immunogenicity. 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subjects Animals
Antigens
Antigens, Neoplasm - immunology
Antitumor activity
Cancer immunotherapy
Cancer Research
Cancer Vaccines - immunology
Cell Line, Tumor
Enzyme-linked immunosorbent assay
Female
Growth inhibition
Humans
Immunogenicity
Immunology
Immunotherapy - methods
Lung cancer
Lung Neoplasms - immunology
Lung Neoplasms - therapy
Major histocompatibility complex
Medicine
Medicine & Public Health
Mice
Mice, Inbred C57BL
mRNA
Neoantigens
Oncology
Peptides
Protein Subunit Vaccines
Tumors
Vaccines
Vaccines, Subunit - immunology
title Evaluation of the antitumor effect of neoantigen peptide vaccines derived from the translatome of lung cancer
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