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Personalized RNA mutanome vaccines mobilize poly-specific therapeutic immunity against cancer
Abstract
T cells directed against mutant neo-epitopes drive cancer immunity. However, spontaneous immune recognition of mutations is inefficient. We recently introduced the concept of individualized mutanome vaccines and implemented an RNA-based poly-neo-epitope approach to mobilize immunity against a spectrum of cancer mutations. Here we report the first-in-human application of this concept in melanoma. We set up a process comprising comprehensive identification of individual mutations, computational prediction of neo-epitopes, and design and manufacturing of a vaccine unique for each patient. All patients developed T cell responses against multiple vaccine neo-epitopes at up to high single-digit percentages. Vaccine-induced T cell infiltration and neo-epitope-specific killing of autologous tumour cells were shown in post-vaccination resected metastases from two patients. The cumulative rate of metastatic events was highly significantly reduced after the start of vaccination, resulting in a sustained progression-free survival. Two of the five patients with metastatic disease experienced vaccine-related objective responses. One of these patients had a late relapse owing to outgrowth of β2-microglobulin-deficient melanoma cells as an acquired resistance mechanism. A third patient developed a complete response to vaccination in combination with PD-1 blockade therapy. Our study demonstrates that individual mutations can be exploited, thereby opening a path to personalized immunotherapy for patients with cancer.
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“For example, intranodal vaccination with free mRNA encoding ten neoepitopes of 13 patients with metastatic melanoma generated T cell immunity against multiple neoepitopes in all patients209.”
From Lipid nanoparticles for mRNA delivery (2021) · cites this paper as [209]
In the citing paper
“A first-in-human trial demonstrated the clinical feasibility and safety of this approach for advanced melanoma cancers: all vaccinated patients developed CD4 + and CD8 + T cell responses against the selected antigens, with some patients showing objective antitumor responses [15].”
From Three decades of messenger RNA vaccine development (2019) · cites this paper as [15]
Citations
Cites
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
PD-1 and PD-L1 Immune Checkpoint Blockade to Treat Breast Cancer
Hartkopf, A. D., Taran, F., Wallwiener, M., Walter, C. B., Krämer, B., Grischke, E., & Brucker, S. Y. (2016) · Breast Care · doi:10.1159/000453569 · Cited by 30,989
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849
Mapping and quantifying mammalian transcriptomes by RNA-Seq
Mortazavi, A., Williams, B. A., McCue, K., Schaeffer, L., & Wold, B. (2008) · Nature Methods · doi:10.1038/nmeth.1226 · Cited by 13,696
Primer3—new capabilities and interfaces
Untergasser, A., Cutcutache, I., Kõressaar, T., Ye, J., Faircloth, B., Remm, M., & Rozen, S. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks596 · Cited by 9,165
Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration
Thorvaldsdottir, H., Robinson, J. T., & Mesirov, J. P. (2013) · Briefings in Bioinformatics · doi:10.1093/bib/bbs017 · Cited by 9,049
<tt>BLAT</tt> —The <tt>BLAST</tt> -Like Alignment Tool
Kent, W. J. (2002) · Genome Research · doi:10.1101/gr.229202 · Cited by 8,480
Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer
Rizvi, N. A., Hellmann, M. D., Snyder, A., Kvistborg, P., Makarov, V., Havel, J. J., Lee, W., Yuan, J., Wong, P., Ho, T. S., et al. (2015) · Science · doi:10.1126/science.aaa1348 · Cited by 7,802
Self-citationPD-1 blockade induces responses by inhibiting adaptive immune resistance
Tumeh, P. C., Harview, C. L., Yearley, J. H., Shintaku, I. P., Taylor, E. J. M., Robert, L., Chmielowski, B., Spasic, M., Henry, G., Ciobanu, V., et al. (2014) · Nature · doi:10.1038/nature13954 · Cited by 6,609
Pembrolizumab versus Ipilimumab in Advanced Melanoma
Robert, C., Schachter, J., Long, G. V., Arance, A., Grob, J. J., Mortier, L., Daud, A., Carlino, M. S., McNeil, C., Lotem, M., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1503093 · Cited by 5,887
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Guerriaud, M., & Kohli, É. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2022.1012497 · Cited by 51
DeepNeo: a webserver for predicting immunogenic neoantigens
Kim, J. Y., Bang, H., Noh, S.-J., & Choi, J. K. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad275 · Cited by 44
Apavaloaei, A., Zhao, Q., Hesnard, L., Cahuzac, M., Durette, C., Larouche, J., Hardy, M., Vincent, K., Brochu, S., Laverdure, J., et al. (2025) · Nature Cancer · doi:10.1038/s43018-025-00979-2 · Cited by 47
Loeffler, M. W., Nussbaum, B., Jäger, G., Jurmeister, P. S., Budczies, J., Pereira, P. L., Clasen, S., Kowalewski, D. J., Mühlenbruch, L., Königsrainer, I., et al. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.02526 · Cited by 48
Neoantigens in Hematologic Malignancies
Biernacki, M. A., & Bleakley, M. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.00121 · Cited by 47
Yang, H., Sun, L., Guan, A., Yin, H., Liu, M., Mao, X., Xu, H. C., Zhao, H., Lü, X., Sang, X., et al. (2020) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-020-02711-8 · Cited by 47
Build a Sustainable Vaccines Industry with Synthetic Biology
Kitney, R., Bell, J., & Philp, J. (2021) · Trends in Biotechnology · doi:10.1016/j.tibtech.2020.12.006 · Cited by 36
Preclinical models and technologies to advance nanovaccine development
Peres, C., Matos, A. I., Moura, L. I. F., Acúrcio, R. C., Carreira, B., Pozzi, S., Vaskovich‐Koubi, D., Kleiner, R., Satchi‐Fainaro, R., & Florindo, H. F. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2021.03.001 · Cited by 45
Ellingsen, E. B., Mangsbo, S. M., Hovig, E. J., & Gaudernack, G. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.682492 · Cited by 46
Personalized Neoantigen-Pulsed DC Vaccines: Advances in Clinical Applications
Tang, L., Zhang, R., Zhang, X., & Yang, L. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.701777 · Cited by 45
Ellingsen, E. B., Aamdal, E., Guren, T. K., Lilleby, W. A., Brunsvig, P. F., Mangsbo, S. M., Aamdal, S., Hovig, E. J., Mensali, N., Gaudernack, G., et al. (2022) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2021-004345 · Cited by 43
Thousands of novel unannotated proteins expand the MHC I immunopeptidome in cancerPreprint
Ouspenskaia, T., Law, T. E., Clauser, K. R., Klaeger, S., Sarkizova, S., Aguet, F., Li, B., Christian, E., Knisbacher, B. A., Le, P. M., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.02.12.945840 · Cited by 45
Lipid nanomaterials-based RNA therapy and cancer treatment
Zhang, X., Hai, L., Gao, Y., Yu, G., & Sun, Y. (2022) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2022.10.004 · Cited by 46
A multi-adjuvant personal neoantigen vaccine generates potent immunity in melanoma
Blass, E., Keskin, D. B., Tu, C. R., Forman, C., Vanasse, A. P., Sax, H. E., Shim, B., Chea, V. A., Kim, N., Carulli, I. P., et al. (2025) · Cell · doi:10.1016/j.cell.2025.06.019 · Cited by 51
TEIPP antigens for T-cell based immunotherapy of immune-edited HLA class Ilow cancers
Marijt, K. A., Doorduijn, E. M., & van Hall, T. (2018) · Molecular Immunology · doi:10.1016/j.molimm.2018.03.029 · Cited by 45
Bioinformatic methods for cancer neoantigen prediction
Boegel, S., Castle, J. C., Kodysh, J., O’Donnell, T. J., & Rubinsteyn, A. (2019) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2019.06.016 · Cited by 45
Machine Learning for Cancer Immunotherapies Based on Epitope Recognition by T Cell Receptors
Mösch, A., Raffegerst, S. H., Weis, M., Schendel, D. J., & Frishman, D. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.01141 · Cited by 43
Tran, N. H., Qiao, R., Xin, L., Chen, X., Shan, B., & Li, M. (2020) · Nature Machine Intelligence · doi:10.1038/s42256-020-00260-4 · Cited by 44
Rationale of Immunotherapy in Hepatocellular Carcinoma and Its Potential Biomarkers
Tai, D. W.-M., Choo, S. P., & Chew, V. (2019) · Cancers · doi:10.3390/cancers11121926 · Cited by 43
Engineered mRNA Delivery Systems for Biomedical Applications
Wang, J., Zhu, H., Gan, J., Liang, G., Li, L., & Zhao, Y. (2023) · Advanced Materials · doi:10.1002/adma.202308029 · Cited by 46
Advances and applications of RNA vaccines in tumor treatment
Yang, R., & Cui, J. (2024) · Molecular Cancer · doi:10.1186/s12943-024-02141-5 · Cited by 48
Zolkind, P., Przybylski, D., Marjanovic, N. D., Nguyễn, L., Lin, T., Johanns, T. M., Alexandrov, A., Zhou, L., Allen, C. T., Miceli, A. P., et al. (2017) · Oncotarget · doi:10.18632/oncotarget.23751 · Cited by 42
Monitoring Translation Activity of mRNA-Loaded Nanoparticles in Mice
Rosigkeit, S., Meng, M., Grunwitz, C. R., Gomes, P., Kreft, A., Hayduk, N., Heck, R., Pickert, G., Ziegler, K., Abassi, Y., et al. (2018) · Molecular Pharmaceutics · doi:10.1021/acs.molpharmaceut.8b00370 · Cited by 45
Self-citationIdentifying neoantigens for use in immunotherapy
Hutchison, S., & Pritchard, A. L. (2018) · Mammalian Genome · doi:10.1007/s00335-018-9771-6 · Cited by 42
Gejman, R. S., Jones, H. F., Klatt, M. G., Chang, A. Y., Oh, C. Y., Chandran, S. S., Korontsvit, T., Zakahleva, V., Dao, T., Klebanoff, C. A., et al. (2020) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-19-0745 · Cited by 43
Liao, J.-Y., & Zhang, S. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.663264 · Cited by 43
What Happens to the Immune Microenvironment After PD-1 Inhibitor Therapy?
Wang, Q., Xie, B., Liu, S., Shi, Y., Tao, Y., Xiao, D., & Wang, W. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.773168 · Cited by 47
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Hyun, J., Jun, S., Lim, H., Cho, H., You, S.-H., Ha, S., Min, J.-J., & Bang, D. (2021) · ACS Synthetic Biology · doi:10.1021/acssynbio.1c00097 · Cited by 42
Spleen‐targeted neoantigen DNA vaccine for personalized immunotherapy of hepatocellular carcinoma
Wu, M., Luo, Z., Cai, Z., Mao, Q., Li, Z., Li, H., Zhang, C., Zhang, Y., Zhong, A., Wu, L., et al. (2023) · EMBO Molecular Medicine · doi:10.15252/emmm.202216836 · Cited by 46
Neoantigen enriched biomimetic nanovaccine for personalized cancer immunotherapy
Li, Y., Fang, M., Yu, H., Wang, X., Xue, S., Jiang, Z., Huang, Z., Rong, S., Wei, X., Lu, Z., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-59977-8 · Cited by 46
Toward Personalized Peptide-Based Cancer Nanovaccines: A Facile and Versatile Synthetic Approach
Kakwere, H., Ingham, E. S., Allen, R. P., Mahakian, L. M., Tam, S. M., Zhang, H., Silvestrini, M. T., Lewis, J. S., & Ferrara, K. W. (2017) · Bioconjugate Chemistry · doi:10.1021/acs.bioconjchem.7b00502 · Cited by 44
Bräunlein, E., & Krackhardt, A. M. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.01702 · Cited by 43
Quandt, J., Schlude, C., Bartoschek, M., Will, R. D., Cid-Arregui, Á., Schölch, S., Reißfelder, C., Weitz, J., Schneider, M. A., Wiemann, S., et al. (2018) · OncoImmunology · doi:10.1080/2162402x.2018.1500671 · Cited by 42
Updates in adjuvant systemic therapy for melanoma
Kwak, M., Farrow, N. E., Salama, A. K. S., Mosca, P. J., Hanks, B. A., Slingluff, C. L., & Beasley, G. M. (2018) · Journal of Surgical Oncology · doi:10.1002/jso.25298 · Cited by 42
Poly-specific neoantigen-targeted cancer vaccines delay patient derived tumor growth
Aurisicchio, L., Salvatori, E., Lione, L., Bandini, S., Pallocca, M., Maggio, R., Fanciulli, M., Nicola, F. D., Goeman, F., Ciliberto, G., et al. (2019) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-019-1084-4 · Cited by 42
Hansen, U. K., Ramskov, S., Bjerregaard, A.-M., Borch, A., Andersen, R. S., Draghi, A., Donia, M., Bentzen, A. K., Marquard, A. M., Szállási, Z., et al. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.00373 · Cited by 44
Nucleic acid-based therapy for coronavirus disease 2019
Piyush, R., Rajarshi, K., Chatterjee, A., Khan, R., & Ray, S. (2020) · Heliyon · doi:10.1016/j.heliyon.2020.e05007 · Cited by 44
Cieri, N., Maurer, K., & Wu, C. J. (2021) · Cancer Research · doi:10.1158/0008-5472.can-21-0301 · Cited by 41
Synthetic multiepitope neoantigen DNA vaccine for personalized cancer immunotherapy
Yang, X., Fan, J., Wu, Y., Ma, Z., Huang, J., Zhang, Y., Zhou, Z. M., Mo, F., Liu, X., Yuan, H., et al. (2021) · Nanomedicine Nanotechnology Biology and Medicine · doi:10.1016/j.nano.2021.102443 · Cited by 42
Hou, J., He, Z., Liu, T., Chen, D., Wang, B., Wen, Q., & Zheng, X. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.755053 · Cited by 48
Current strategies employed in the manipulation of gene expression for clinical purposes
Tsai, H., Pietrobon, V., Peng, M., Wang, S., Zhao, L., Marincola, F. M., & Cai, Q. (2022) · Journal of Translational Medicine · doi:10.1186/s12967-022-03747-3 · Cited by 48
Promising New Tools for Targeting p53 Mutant Cancers: Humoral and Cell-Based Immunotherapies
Chasov, V. V., Zaripov, M. M., Mirgayazova, R., Khadiullina, R., Zmievskaya, E., Ganeeva, I., Valiullina, A. K., Rizvanov, A. A., & Bulatov, E. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.707734 · Cited by 41
Mechanisms and research advances in mRNA antibody drug-mediated passive immunotherapy
Zhao, Y., Gan, L., Ke, D., Chen, Q., & Fu, Y. (2023) · Journal of Translational Medicine · doi:10.1186/s12967-023-04553-1 · Cited by 45
The SysteMHC Atlas v2.0, an updated resource for mass spectrometry-based immunopeptidomics
Huang, X., Gan, Z., Cui, H., Lan, T., Liu, Y., Caron, É., & Shao, W. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad1068 · Cited by 40
Immunotherapy in extensive small cell lung cancer
Verma, V., Sharma, G., & Singh, A. (2019) · Experimental Hematology and Oncology · doi:10.1186/s40164-019-0129-x · Cited by 42
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Wang, W., & Cao, X. (2019) · Critical Reviews in Immunology · doi:10.1615/critrevimmunol.2019031188 · Cited by 43
Martínez-Usatorre, A., Carmona, S. J., Godfroid, C., Maroun, C. Y., Labiano, S., & Romero, P. J. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.00340 · Cited by 41
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Stolk, D. A., de Haas, A. M., Vree, J., Duinkerken, S., Lübbers, J., van de Ven, R., Ambrosini, M., Kalay, H., Bruijns, S. C. M., van der Vliet, H. J., et al. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.00990 · Cited by 41
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Roy, S., Sethi, T. K., Taylor, D., Kim, Y. J., & Johnson, D. B. (2020) · Journal of Leukocyte Biology · doi:10.1002/jlb.5bt0420-585rr · Cited by 44
TruNeo: an integrated pipeline improves personalized true tumor neoantigen identification
Tang, Y., Wang, Y., Wang, J., Li, M., Peng, L., Wei, G., Zhang, Y., Li, J., & Gao, Z. (2020) · BMC Bioinformatics · doi:10.1186/s12859-020-03869-9 · Cited by 43
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Chen, Y., Zhang, Y., Wang, B., Fan, Q., Yang, Q., Xu, J., Dai, H., Xu, F., & Wang, C. (2022) · ACS Nano · doi:10.1021/acsnano.2c10797 · Cited by 42
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Song, W., Das, M., Xu, Y., Si, X., Zhang, Y., Tang, Z., & Chen, X. (2019) · Materials Today Nano · doi:10.1016/j.mtnano.2019.100029 · Cited by 41
Building on the anti-PD1/PD-L1 backbone: combination immunotherapy for cancer
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Du, J., Wang, C., Xu, W., Zhang, L., Tang, Y., Zhou, S., Gao, X.-F., Yang, G., & Guo, J. (2020) · iScience · doi:10.1016/j.isci.2020.100935 · Cited by 42
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Nelde, A., Maringer, Y., Bilich, T., Salih, H. R., Roerden, M., Heitmann, J. S., Marcu, A., Bauer, J., Neidert, M. C., Denzlinger, C., et al. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.705974 · Cited by 39
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Speetjens, F. M., Welters, M. J. P., Slingerland, M., van Poelgeest, M. I. E., van Steenwijk, P. J. D. V., Roozen, I. C. F. M., Boekestijn, S., Loof, N. M., Zom, G. G., Valentijn, A. R. P. M., et al. (2022) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2022-005016 · Cited by 42
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Chen, C., Liu, X., Chang, C., Wang, H. Y., & Wang, R. (2023) · Genes · doi:10.3390/genes14051008 · Cited by 42
Giannakopoulou, E., Lehander, M., Culleton, S. V., Yang, W., Li, Y., Kärpänen, T., Yoshizato, T., Rustad, E. H., Nielsen, M. M., Bollineni, R. C., et al. (2023) · Nature Cancer · doi:10.1038/s43018-023-00642-8 · Cited by 41
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Huff, A. L., Longway, G., Mitchell, J. T., Andaloori, L., Davis-Marcisak, E. F., Chen, F., Lyman, M. R., Wang, R., Mathew, J., Barrett, B., et al. (2023) · JCI Insight · doi:10.1172/jci.insight.174027 · Cited by 42
Deyhimfar, R., Izady, M., Shoghi, M., Kazazi, M. H., Ghazvini, Z. F., Nazari, H., Fekrirad, Z., & Arefian, E. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e26971 · Cited by 42
Immune lipoprotein nanostructures inspired relay drug delivery for amplifying antitumor efficiency
Han, Y., Ding, B., Zhao, Z., Zhang, H., Sun, B., Zhao, Y., Jiang, L., Zhou, J., & Ding, Y. (2018) · Biomaterials · doi:10.1016/j.biomaterials.2018.09.016 · Cited by 40
Identification of candidate neoantigens produced by fusion transcripts in human osteosarcomas
Rathe, S. K., Popescu, F. E., Johnson, J. E., Watson, A. L., Marko, T. A., Moriarity, B. S., Ohlfest, J. R., & Largaespada, D. A. (2019) · Scientific Reports · doi:10.1038/s41598-018-36840-z · Cited by 40
Applications of Next-Generation Sequencing in Neoantigen Prediction and Cancer Vaccine Development
Lancaster, E. M., Jablons, D. M., & Kratz, J. R. (2019) · Genetic Testing and Molecular Biomarkers · doi:10.1089/gtmb.2018.0211 · Cited by 39
Leclerc, M., Mezquita, L., Nerville, G. G. D., Tihy, I., Malenica, I., Chouaïb, S., & Mami‐Chouaib, F. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.01505 · Cited by 40
A supramolecular protein chaperone for vaccine delivery
Wang, Z., Shang, Y., Tan, Z., Li, L. X., Li, G., Ren, C., Wang, F., Yang, Z., & Liu, J. (2019) · Theranostics · doi:10.7150/thno.39132 · Cited by 39
Ghosh, M., Gauger, M., Marcu, A., Nelde, A., Denk, M., Schuster, H., Rammensee, H., & Stevanović, S. (2020) · Molecular & Cellular Proteomics · doi:10.1074/mcp.c119.001652 · Cited by 34
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Schizas, D., Charalampakis, N., Kole, C., Mylonas, K. S., Katsaros, I., Zhao, M., Ajani, J. A., Psyrri, A. K., Karamouzis, M. V., & Liakakos, T. (2020) · Immunotherapy · doi:10.2217/imt-2019-0153 · Cited by 38
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Jin, X., Ding, Y., Sun, S., Wang, X., Zhou, Z., Liu, X. K., Li, M., Chen, X., Shen, A., Wu, Y., et al. (2021) · Cellular and Molecular Immunology · doi:10.1038/s41423-021-00784-8 · Cited by 39
Yu, Y., Shan, N., Li, L., Zhu, Y., Lin, L., Mao, C., Hu, T., Xue, X., Su, X., Shen, X., et al. (2023) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-023-03386-7 · Cited by 40
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Bao, Y., Qiao, Y., Choi, J. E., Zhang, Y., Mannan, R., Cheng, C., He, T., Zheng, Y., Yu, J., Gondal, M. N., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2314416120 · Cited by 39
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Metadata
- Authors
- Sahin, U., Derhovanessian, E., Miller, M., Kloke, B.-P., Simon, P., Löwer, M., Bukur, V., Tadmor, A. D., Luxemburger, U., Schrörs, B., Omokoko, T., Vormehr, M., Albrecht, C., Paruzynski, A., Kuhn, A. N., Buck, J., Heesch, S., Schreeb, K. H., Müller, F., Ortseifer, I., Vogler, I., Godehardt, E., Attig, S., Rae, R., Breitkreuz, A., Tolliver, C., Suchan, M., Martic, G., Hohberger, A., Sorn, P., Diekmann, J., Ciesla, J., Waksmann, O., Brück, A.-K., Witt, M., Zillgen, M., Rothermel, A., Kasemann, B., Langer, D., Bolte, S., Diken, M., Kreiter, S., Nemecek, R., Gebhardt, C., Grabbe, S., Höller, C., Utikal, J., Huber, C., Loquai, C., & Türeci, Ö.
- Affiliations
- BioNTech (Germany) (DE)
- Johannes Gutenberg University Mainz (DE)
- University Medical Center of the Johannes Gutenberg University Mainz (DE)
- Medical University of Vienna (AT)
- German Cancer Research Center (DE)
- ORCID
- Venue
- Nature
- Published
- 2017-07-05
- Volume
- 547
- Issue
- 7662
- Pages
- 222-226
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2724264513
- Cited by
- 2,488
- References
- 43
- Citations by year
- 2026: 228 · 2025: 255 · 2024: 259 · 2023: 299 · 2022: 277 · 2021: 317 · 2020: 290 · 2019: 262 · 2018: 239 · 2017: 58
- FWCI
- 105.75
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
- Keywords
- neoantigens, melanoma, cancer immunotherapy, T cell response, metastasis prevention, anti-PD-1 therapy, acquired resistance, beta2-microglobulin deficiency, vaccine safety and tolerability, tumor cell killing, tumor-infiltrating T cells
- MeSH terms
- Nivolumab, Antibodies, Monoclonal, Epitopes, beta 2-Microglobulin, Humans, Immunotherapy, Melanoma, Mutation, Neoplasm Metastasis, Neoplasm Recurrence, Local, RNA, T-Lymphocytes, Vaccination, CD8 Antigens, Cancer Vaccines, Precision Medicine, B7-H1 Antigen, Programmed Cell Death 1 Receptor
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