Noncoding regions are the main source of targetable tumor-specific antigens

被引:352
作者
Laumont, Celine M. [1 ,2 ]
Vincent, Krystel [1 ,2 ]
Hesnard, Leslie [1 ,2 ]
Audemard, Eric [1 ]
Bonneil, Eric [1 ]
Laverdure, Jean-Philippe [1 ]
Gendron, Patrick [1 ]
Courcelles, Mathieu [1 ]
Hardy, Marie-Pierre [1 ]
Cote, Caroline [1 ]
Durette, Chantal [1 ]
St-Pierre, Charles [1 ,2 ]
Benhammadi, Mohamed [1 ,2 ]
Lanoix, Joel [1 ]
Vobecky, Suzanne [3 ]
Haddad, Elie [3 ]
Lemieux, Sebastien [1 ,4 ]
Thibault, Pierre [1 ,5 ]
Perreault, Claude [1 ,2 ]
机构
[1] Univ Montreal, IRIC, Montreal, PQ H3C 3J7, Canada
[2] Univ Montreal, Dept Med, Montreal, PQ H3C 3J7, Canada
[3] Univ Montreal, CHU St Justine, Montreal, PQ H3T 1C5, Canada
[4] Univ Montreal, Dept Comp Sci & Operat Res, Montreal, PQ H3C 3J7, Canada
[5] Univ Montreal, Dept Chem, Montreal, PQ H3C 3J7, Canada
关键词
MASS-SPECTROMETRY; IDENTIFICATION; CELLS; GENE; IMMUNOTHERAPY; NEOANTIGENS; LYMPHOCYTES; REPERTOIRE; DIVERSITY; FREQUENCY;
D O I
10.1126/scitranslmed.aau5516
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Tumor-specific antigens (TSAs) represent ideal targets for cancer immunotherapy, but few have been identified thus far. We therefore developed a proteogenomic approach to enable the high-throughput discovery of TSAs coded by potentially all genomic regions. In two murine cancer cell lines and seven human primary tumors, we identified a total of 40 TSAs, about 90% of which derived from allegedly noncoding regions and would have been missed by standard exome-based approaches. Moreover, most of these TSAs derived from nonmutated yet aberrantly expressed transcripts (such as endogenous retroelements) that could be shared by multiple tumor types. Last, we demonstrated that, in mice, the strength of antitumor responses after TSA vaccination was influenced by two parameters that can be estimated in humans and could serve for TSA prioritization in clinical studies: TSA expression and the frequency of TSA-responsive T cells in the preimmune repertoire. In conclusion, the strategy reported herein could considerably facilitate the identification and prioritization of actionable human TSAs.
引用
收藏
页数:11
相关论文
共 68 条
[1]  
Alfaro JA, 2014, NAT METHODS, V11, P1107, DOI [10.1038/NMETH.3138, 10.1038/nmeth.3138]
[2]   Gapped sequence alignment using artificial neural networks: application to the MHC class I system [J].
Andreatta, Massimo ;
Nielsen, Morten .
BIOINFORMATICS, 2016, 32 (04) :511-517
[3]   The problem with neoantigen prediction [J].
Nature Biotechnology, 1600, Nature Publishing Group (35) :97-97
[4]   Identification of unique neoantigen qualities in long-term survivors of pancreatic cancer [J].
Balachandran, Vinod P. ;
Luksza, Marta ;
Zhao, Julia N. ;
Makarov, Vladimir ;
Moral, John Alec ;
Remark, Romain ;
Herbst, Brian ;
Askan, Gokce ;
Bhanot, Umesh ;
Senbabaoglu, Yasin ;
Wells, Daniel K. ;
Cary, Charles Ian Ormsby ;
Grbovic-Huezo, Olivera ;
Attiyeh, Marc ;
Medina, Benjamin ;
Zhang, Jennifer ;
Loo, Jennifer ;
Saglimbeni, Joseph ;
Abu-Akeel, Mohsen ;
Zappasodi, Roberta ;
Riaz, Nadeem ;
Smoragiewicz, Martin ;
Kelley, Z. Larkin ;
Basturk, Olca ;
Goenen, Mithat ;
Levine, Arnold J. ;
Allen, Peter J. ;
Fearon, Douglas T. ;
Merad, Miriam ;
Gnjatic, Sacha ;
Iacobuzio-Donahue, Christine A. ;
Wolchok, Jedd D. ;
DeMatteo, Ronald P. ;
Chan, Timothy A. ;
Greenbaum, Benjamin D. ;
Merghoub, Taha ;
Leach, Steven D. .
NATURE, 2017, 551 (7681) :512-+
[5]   Direct identification of clinically relevant neoepitopes presented on native human melanoma tissue by mass spectrometry [J].
Bassani-Sternberg, Michal ;
Braunlein, Eva ;
Klar, Richard ;
Engleitner, Thomas ;
Sinitcyn, Pavel ;
Audehm, Stefan ;
Straub, Melanie ;
Weber, Julia ;
Slotta-Huspenina, Julia ;
Specht, Katja ;
Martignoni, Marc E. ;
Werner, Angelika ;
Hein, Rudiger ;
Busch, Dirk H. ;
Peschel, Christian ;
Rad, Roland ;
Cox, Jurgen ;
Mann, Matthias ;
Krackhardt, Angela M. .
NATURE COMMUNICATIONS, 2016, 7
[6]   Mass spectrometry-based antigen discovery for cancer immunotherapy [J].
Bassani-Sternberg, Michal ;
Coukos, George .
CURRENT OPINION IN IMMUNOLOGY, 2016, 41 :9-17
[7]   Mass Spectrometry of Human Leukocyte Antigen Class I Peptidomes Reveals Strong Effects of Protein Abundance and Turnover on Antigen Presentation [J].
Bassani-Sternberg, Michal ;
Pletscher-Frankild, Sune ;
Jensen, Lars Juhl ;
Mann, Matthias .
MOLECULAR & CELLULAR PROTEOMICS, 2015, 14 (03) :658-673
[8]   An Automated Pipeline to Monitor System Performance in Liquid Chromatography-Tandem Mass Spectrometry Proteomic Experiments [J].
Bereman, Michael S. ;
Beri, Joshua ;
Sharma, Vagisha ;
Nathe, Cory ;
Eckels, Josh ;
MacLean, Brendan ;
MacCoss, Michael J. .
JOURNAL OF PROTEOME RESEARCH, 2016, 15 (12) :4763-4769
[9]   Characterizing neoantigens for personalized cancer immunotherapy [J].
Capietto, Aude-Helene ;
Jhunjhunwala, Suchit ;
Delamarre, Lelia .
CURRENT OPINION IN IMMUNOLOGY, 2017, 46 :58-65
[10]  
Caron E, 2015, MOL CELL PROTEOMICS, V14, P3105, DOI [10.1074/mcp.O115.052431, 10.1074/mcp.M115.052431]