Ribosome profiling shows variable sensitivity to detect open reading frames for conventional and different types of cryptic T cell antigens

T cell-based immunotherapies targeting antigens on tumor cells have shown efficacy as anti-cancer treatments. While neoantigens are created by somatic mutations acquired during tumorigenesis, allogeneic stem cell transplantation as treatment for hematological malignancies exploits minor histocompatibility antigens encoded by genetic differences between patients and donors. Screening methods to predict neoantigens and minor histocompatibility antigens typically consider only conventional antigens created by nonsynonymous mutations or polymorphisms coding for amino acid changes in canonical open reading frames (ORFs). However, unconventional ORFs encoding peptides outside the known human proteome also provide an important source of cryptic antigens targeted in anti-tumor responses. Here, we used the recently expanded repertoire of human leukocyte antigen (HLA) class I-restricted minor histocompatibility antigens identified in patients treated with allogeneic stem cell transplantation by a method unbiased regarding the type of antigen to explore the sensitivity of ribosome profiling to detect ORFs for different types of T cell antigens. Ribosome profiling showed high sensitivity to detect upstream ORFs for cryptic antigens similar to canonical ORFs for conventional antigens, while cryptic antigens in out-of-frame ORFs and ORFs in long non-coding RNAs were largely missed. In conclusion, ribosome profiling shows variable sensitivity to detect ORFs for canonical and different types of cryptic T cell antigens.

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Publication Details

Journal
Molecular Therapy — Methods & Clinical Development
Published
2024-12-06
DOI
https://doi.org/10.1016/j.omtm.2024.101391
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
0.00

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article

Ribosome profiling shows variable sensitivity to detect open reading frames for conventional and different types of cryptic T cell antigens

Marieke Griffioen, Peter A.C. ’t Hoen, J.H. Frederik Falkenburg, Arnaud Zaldumbide et al.
Molecular Therapy — Methods & Clinical Development
vaccines and immunoinformatics approaches
article

Ribosome profiling shows variable sensitivity to detect open reading frames for conventional and different types of cryptic T cell antigens

Marieke Griffioen, Peter A.C. ’t Hoen, J.H. Frederik Falkenburg, Arnaud Zaldumbide, Kyra J. Fuchs, Sofia Thomaidou, Arno R. van der Slik, Marian van de Meent
article en

Abstract

T cell-based immunotherapies targeting antigens on tumor cells have shown efficacy as anti-cancer treatments. While neoantigens are created by somatic mutations acquired during tumorigenesis, allogeneic stem cell transplantation as treatment for hematological malignancies exploits minor histocompatibility antigens encoded by genetic differences between patients and donors. Screening methods to predict neoantigens and minor histocompatibility antigens typically consider only conventional antigens created by nonsynonymous mutations or polymorphisms coding for amino acid changes in canonical open reading frames (ORFs). However, unconventional ORFs encoding peptides outside the known human proteome also provide an important source of cryptic antigens targeted in anti-tumor responses. Here, we used the recently expanded repertoire of human leukocyte antigen (HLA) class I-restricted minor histocompatibility antigens identified in patients treated with allogeneic stem cell transplantation by a method unbiased regarding the type of antigen to explore the sensitivity of ribosome profiling to detect ORFs for different types of T cell antigens. Ribosome profiling showed high sensitivity to detect upstream ORFs for cryptic antigens similar to canonical ORFs for conventional antigens, while cryptic antigens in out-of-frame ORFs and ORFs in long non-coding RNAs were largely missed. In conclusion, ribosome profiling shows variable sensitivity to detect ORFs for canonical and different types of cryptic T cell antigens.

Molecular Therapy — Methods & Clinical DevelopmentVol. 33(1)
Radboud University Nijmegen (NL), Leiden University Medical Center (NL), Radboud University Medical Center (NL)
European Commission, KWF Kankerbestrijding
Quality Education
Openalex Percentile: Top 80%
vaccines and immunoinformatics approaches
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