TY - JOUR
T1 - The Neo-Open Reading Frame Peptides That Comprise the Tumor Framome Are a Rich Source of Neoantigens for Cancer Immunotherapy
AU - Martin, Michael V.
AU - Aguilar-Rosas, Salvador
AU - Franke, Katka
AU - Pieterse, Mark
AU - van Langelaar, Jamie
AU - Schreurs, Renée
AU - Bijlsma, Maarten F.
AU - Besselink, Marc G.
AU - Koster, Jan
AU - Timens, Wim
AU - Khasraw, Mustafa
AU - Ashley, David M.
AU - Keir, Stephen T.
AU - Ottensmeier, Christian H.
AU - King, Emma V.
AU - Verheij, Joanne
AU - Waasdorp, Cynthia
AU - Valk, Peter J.M.
AU - Engels, Sem A.G.
AU - Oostenbach, Ellen
AU - van Dinter, Jip T.
AU - Hofman, Damon A.
AU - Mok, Juk Yee
AU - van Esch, Wim J.E.
AU - Wilmink, Hanneke
AU - Monkhorst, Kim
AU - Verheul, Henk M.W.
AU - Poel, Dennis
AU - Hiltermann, T. Jeroen N.
AU - van Kempen, Léon C.L.T.
AU - Groen, Harry J.M.
AU - Aerts, Joachim G.J.V.
AU - van Heesch, Sebastiaan
AU - Löwenberg, Bob
AU - Plasterk, Ronald
AU - Kloosterman, Wigard P.
N1 - Publisher Copyright:
© 2024 American Association for Cancer Research.
PY - 2024/6/4
Y1 - 2024/6/4
N2 - Identification of immunogenic cancer neoantigens as targets for therapy is challenging. Here, we integrate the whole-genome and long-read transcript sequencing of cancers to identify the collection of neo-open reading frame peptides (NOP) expressed in tumors. We termed this collection of NOPs the tumor framome. NOPs represent tumor-specific peptides that are different from wild-type proteins and may be strongly immunogenic. We describe a class of hidden NOPs that derive from structural genomic variants involving an upstream protein coding gene driving expression and translation of noncoding regions of the genome downstream of a rearrangement breakpoint, i.e., where no gene annotation or evidence for transcription exists. The entire collection of NOPs represents a vast number of possible neoantigens particularly in tumors with many structural genomic variants and a low number of missense mutations. We show that NOPs are immunogenic and epitopes derived from NOPs can bind to MHC class I molecules. Finally, we provide evidence for the presence of memory T cells specific for hidden NOPs in peripheral blood from a patient with lung cancer. This work highlights NOPs as a major source of possible neoantigens for personalized cancer immunotherapy and provides a rationale for analyzing the complete cancer genome and transcriptome as a basis for the detection of NOPs.
AB - Identification of immunogenic cancer neoantigens as targets for therapy is challenging. Here, we integrate the whole-genome and long-read transcript sequencing of cancers to identify the collection of neo-open reading frame peptides (NOP) expressed in tumors. We termed this collection of NOPs the tumor framome. NOPs represent tumor-specific peptides that are different from wild-type proteins and may be strongly immunogenic. We describe a class of hidden NOPs that derive from structural genomic variants involving an upstream protein coding gene driving expression and translation of noncoding regions of the genome downstream of a rearrangement breakpoint, i.e., where no gene annotation or evidence for transcription exists. The entire collection of NOPs represents a vast number of possible neoantigens particularly in tumors with many structural genomic variants and a low number of missense mutations. We show that NOPs are immunogenic and epitopes derived from NOPs can bind to MHC class I molecules. Finally, we provide evidence for the presence of memory T cells specific for hidden NOPs in peripheral blood from a patient with lung cancer. This work highlights NOPs as a major source of possible neoantigens for personalized cancer immunotherapy and provides a rationale for analyzing the complete cancer genome and transcriptome as a basis for the detection of NOPs.
UR - https://www.scopus.com/pages/publications/85195228786
U2 - 10.1158/2326-6066.CIR-23-0158
DO - 10.1158/2326-6066.CIR-23-0158
M3 - Article
C2 - 38573707
AN - SCOPUS:85195228786
SN - 2326-6066
VL - 12
SP - 759
EP - 778
JO - Cancer immunology research
JF - Cancer immunology research
IS - 6
ER -