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Hematopoietic Progenitor Kinase1 (HPK1) Mediates T Cell Dysfunction and Is a Druggable Target for T Cell-Based Immunotherapies
Open accessAbstract
Ameliorating T cell exhaustion and enhancing effector function are promising strategies for the improvement of immunotherapies. Here, we show that the HPK1-NFκB-Blimp1 axis mediates T cell dysfunction. High expression of MAP4K1 (which encodes HPK1) correlates with increased T cell exhaustion and with worse patient survival in several cancer types. In MAP4K1KO mice, tumors grow slower than in wild-type mice and infiltrating T cells are less exhausted and more active and proliferative. We further show that genetic depletion, pharmacological inhibition, or proteolysis targeting chimera (PROTAC)-mediated degradation of HPK1 improves the efficacy of CAR-T cell-based immunotherapies in diverse preclinical mouse models of hematological and solid tumors. These strategies are more effective than genetically depleting PD-1 in CAR-T cells. Thus, we demonstrate that HPK1 is a mediator of T cell dysfunction and an attractive druggable target to improve immune therapy responses.
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“Most recently, PROTACs that target mitogen-activated protein kinase kinase kinase kinase 1 (MAP4K1; also known as HPK1) have been described with promising preclinical activity180”
From PROTAC targeted protein degraders: the past is prologue (2022) · cites this paper as [180]
Citations
Cites
Molecular and cellular insights into T cell exhaustion
Wherry, E. J., & Kurachi, M. (2015) · Nature Reviews Immunology · doi:10.1038/nri3862 · Cited by 4,652
A guide to cancer immunotherapy: from T cell basic science to clinical practice
Waldman, A. D., Fritz, J. M., & Lenardo, M. J. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-020-0306-5 · Cited by 4,154
Wherry, E. J. (2011) · Nature Immunology · doi:10.1038/ni.2035 · Cited by 4,062
Molecular Signature of CD8+ T Cell Exhaustion during Chronic Viral Infection
Wherry, E. J., Ha, S.-J., Kaech, S. M., Haining, W. N., Sarkar, S., Kalia, V., Subramaniam, S., Blattman, J. N., Barber, D. L., & Ahmed, R. (2007) · Immunity · doi:10.1016/j.immuni.2007.09.006 · Cited by 2,103
Kosicki, M., Tomberg, K., & Bradley, A. (2018) · Nature Biotechnology · doi:10.1038/nbt.4192 · Cited by 1,883
Targeting a CAR to the TRAC locus with CRISPR/Cas9 enhances tumour rejection
Eyquem, J., Mansilla-Soto, J., Giavridis, T., van der Stegen, S. J. C., Hamieh, M., Cunanan, K. M., Odak, A., Gönen, M., & Sadelain, M. (2017) · Nature · doi:10.1038/nature21405 · Cited by 1,831
Long, A. H., Haso, W. M., Shern, J. F., Wanhainen, K. M., Murgai, M., Ingaramo, M., Smith, J. P., Walker, A. J., Kohler, M. E., Venkateshwara, V. R., et al. (2015) · Nature Medicine · doi:10.1038/nm.3838 · Cited by 1,815
Patient-Derived Xenograft Models: An Emerging Platform for Translational Cancer Research
Hidalgo, M. M., Amant, F. C., Biankin, A. V., Budínská, E., Byrne, A. T., Caldas, C., Clarke, R. B., de Jong, S., Jonkers, J., Mælandsmo, G. M., et al. (2014) · Cancer Discovery · doi:10.1158/2159-8290.cd-14-0001 · Cited by 1,797
Fraietta, J. A., Lacey, S. F., Orlando, E. J., Pruteanu-Malinici, I., Gohil, M., Lundh, S., Boesteanu, A. C., Wang, Y., O’Connor, R. S., Hwang, W.-T., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0010-1 · Cited by 1,785
Blank, C. U., Haining, W. N., Held, W., Hogan, P. G., Kallies, A., Lugli, E., Lynn, R. C., Philip, M., Rao, A., Restifo, N. P., et al. (2019) · Nature Reviews Immunology · doi:10.1038/s41577-019-0221-9 · Cited by 1,603
Clonal replacement of tumor-specific T cells following PD-1 blockade
Yost, K. E., Satpathy, A. T., Wells, D. K., Qi, Y., Wang, C., Kageyama, R., McNamara, K. L., Granja, J. M., Sarin, K. Y., Brown, R. A., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0522-3 · Cited by 1,534
Molecular Signature of CD8+ T Cell Exhaustion during Chronic Viral Infection
Wherry, E. J., Ha, S., Kaech, S. M., Haining, W. N., Sarkar, S., Kalia, V., Subramaniam, S., Blattman, J. N., Barber, D. L., & Ahmed, R. (2007) · Immunity · doi:10.1016/j.immuni.2007.11.006 · Cited by 1,355
Thommen, D. S., & Schumacher, T. N. (2018) · Cancer Cell · doi:10.1016/j.ccell.2018.03.012 · Cited by 1,351
Epigenetic stability of exhausted T cells limits durability of reinvigoration by PD-1 blockade
Pauken, K. E., Sammons, M. A., Odorizzi, P. M., Manne, S., Godec, J., Khan, O., Drake, A. M., Chen, Z., Sen, D. R., Kurachi, M., et al. (2016) · Science · doi:10.1126/science.aaf2807 · Cited by 1,348
The Principles of Engineering Immune Cells to Treat Cancer
Lim, W. A., & June, C. H. (2017) · Cell · doi:10.1016/j.cell.2017.01.016 · Cited by 1,103
Chromatin states define tumour-specific T cell dysfunction and reprogramming
Philip, M., Fairchild, L., Sun, L., Horste, E. L., Camara, S., Shakiba, M., Scott, A. C., Viale, A., Lauer, P., Merghoub, T., et al. (2017) · Nature · doi:10.1038/nature22367 · Cited by 933
Rupp, L. J., Schumann, K., Roybal, K. T., Gate, R. E., Ye, C. J., Lim, W. A., & Marson, A. (2017) · Scientific Reports · doi:10.1038/s41598-017-00462-8 · Cited by 757
Ebert, P. J. R., Cheung, J., Yang, Y., McNamara, E., Hong, R., Moskalenko, M., Gould, S. E., Maecker, H., Irving, B. A., Kim, J. M., et al. (2016) · Immunity · doi:10.1016/j.immuni.2016.01.024 · Cited by 713
CD8 T Cell Exhaustion in Chronic Infection and Cancer: Opportunities for Interventions
Hashimoto, M., Kamphorst, A. O., Im, S. J., Kissick, H. T., Pillai, R. N., Ramalingam, S. S., Araki, K., & Ahmed, R. (2018) · Annual Review of Medicine · doi:10.1146/annurev-med-012017-043208 · Cited by 674
Defining the human C2H2 zinc finger degrome targeted by thalidomide analogs through CRBN
Sievers, Q. L., Petzold, G., Bunker, R. D., Renneville, A., Słabicki, M., Liddicoat, B. J., Abdulrahman, W., Mikkelsen, T., Ebert, B. L., & Thomä, N. H. (2018) · Science · doi:10.1126/science.aat0572 · Cited by 537
Quigley, M. M., Pereyra, F., Nilsson, B., Porichis, F., Fonseca, C., Eichbaum, Q. G., Jülg, B. D., Jesneck, J. L., Brosnahan, K., Imam, S., et al. (2010) · Nature Medicine · doi:10.1038/nm.2232 · Cited by 527
Delineating the role of cooperativity in the design of potent PROTACs for BTK
Zorba, A., Nguyen, C., Xu, Y., Starr, J., Borzilleri, K., Smith, J., Zhu, H., Farley, K. A., Ding, W., Schiemer, J., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1803662115 · Cited by 419
Emerging Cellular Therapies for Cancer
Guedan, S., Ruella, M., & June, C. H. (2018) · Annual Review of Immunology · doi:10.1146/annurev-immunol-042718-041407 · Cited by 394
Zhou, B. N., Hu, J., Xu, F., Chen, Z., Bai, L., Fernández‐Salas, E., Lin, M., Liu, L., Yang, C., Zhao, Y., et al. (2017) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.6b01816 · Cited by 376
Multifunctional role of the transcription factor Blimp-1 in coordinating plasma cell differentiation
Minnich, M., Tagoh, H., Bönelt, P., Axelsson, E., Fischer, M., Cebolla, B., Tarakhovsky, A., Nutt, S. L., Jaritz, M., & Busslinger, M. (2016) · Nature Immunology · doi:10.1038/ni.3349 · Cited by 335
Shui, J., Boomer, J. S., Han, J., Xu, J. Q., Dement, G. A., Zhou, G., & Tan, T. (2006) · Nature Immunology · doi:10.1038/ni1416 · Cited by 234
BLIMP1 guides the fate of effector B and T cells
Nutt, S. L., Fairfax, K. A., & Kallies, A. (2007) · Nature reviews. Immunology · doi:10.1038/nri2204 · Cited by 139
Guo, M., Price, M. J., Patterson, D. G., Barwick, B. G., Haines, R. R., Kania, A. K., Bradley, J., Randall, T. D., Boss, J. M., & Scharer, C. D. (2017) · The Journal of Immunology · doi:10.4049/jimmunol.1701470 · Cited by 139
Kołosowska, N., Keuters, M. H., Wojciechowski, S., Keksa-Goldsteine, V., Laine, M. T., Malm, T., Goldsteins, G., Koıstınaho, J., & Dhungana, H. (2019) · Neurotherapeutics · doi:10.1007/s13311-019-00761-0 · Cited by 133
Hernandez, S., Qing, J., Hong, R., Du, X., Park, S., Lee, H.-M., Xu, M., Oh, S. A., Navarro, A., Roose-Girma, M., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.09.012 · Cited by 130
Self-citationIdentifying Novel Protein‐Protein Interactions Using Co‐Immunoprecipitation and Mass Spectroscopy
Free, R. B., Hazelwood, L. A., & Sibley, D. R. (2009) · Current Protocols in Neuroscience · doi:10.1002/0471142301.ns0528s46 · Cited by 101
Vrzalikova, K., Vockerodt, M., Leonard, S. M., Bell, A. I., Wei, W., Schrader, A., Wright, K. L., Kube, D., Rowe, M., Woodman, C. B. J., et al. (2011) · Blood · doi:10.1182/blood-2010-09-307710 · Cited by 97
Mass spectrometry‐based immuno‐precipitation proteomics – The user's guide
ten Have, S., Boulon, S., Ahmad, Y., & Lamond, A. I. (2011) · PROTEOMICS · doi:10.1002/pmic.201000548 · Cited by 93
Hematopoietic Progenitor Kinase 1 Is a Negative Regulator of Dendritic Cell Activation
Alzabin, S., Bhardwaj, N., Kiefer, F., Sawasdikosol, S., & Burakoff, S. J. (2009) · The Journal of Immunology · doi:10.4049/jimmunol.0802631 · Cited by 89
Alzabin, S., Pyarajan, S., Yee, H. T., Kiefer, F., Suzuki, A., Burakoff, S. J., & Sawasdikosol, S. (2009) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-009-0761-0 · Cited by 84
Tick-TOX, it’s time for T cell exhaustion
Mann, T. H., & Kaech, S. M. (2019) · Nature Immunology · doi:10.1038/s41590-019-0478-y · Cited by 70
Wang, X., Li, J.-P., Chiu, L.-L., Lan, J., Chen, D.-Y., Boomer, J. S., & Tan, T. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.m112.371062 · Cited by 67
T Helper Lymphocytes Rescue CTL from Activation-Induced Cell Death
Kennedy, R. B., & Celis, E. (2006) · The Journal of Immunology · doi:10.4049/jimmunol.177.5.2862 · Cited by 65
IL-2 signaling prevents T cell anergy by inhibiting the expression of anergy-inducing genes
Duré, M., & Macián, F. (2008) · Molecular Immunology · doi:10.1016/j.molimm.2008.09.029 · Cited by 65
A critical evaluation of the approaches to targeted protein degradation for drug discovery
Chopra, R., Sadok, A., & Collins, I. (2019) · Drug Discovery Today: Technologies · doi:10.1016/j.ddtec.2019.02.002 · Cited by 53
Unexpected CRISPR on-target effects
Lee, H., & Kim, J.-S. (2018) · Nature Biotechnology · doi:10.1038/nbt.4207 · Cited by 46
Chronic Activation of the Kinase IKKβ Impairs T Cell Function and Survival
Krishna, S., Xie, D., Gorentla, B. K., Shin, J., Gao, J., & Zhong, X. (2012) · The Journal of Immunology · doi:10.4049/jimmunol.1102429 · Cited by 43
Interleukin-13 interferes with activation-induced t-cell apoptosis by repressing p53 expression
Yang, L., Xu, L., Liu, Z., Yang, G., Geng, X., Mo, L., Liu, Z., Zheng, P., & Yang, P. (2015) · Cellular and Molecular Immunology · doi:10.1038/cmi.2015.50 · Cited by 21
Jiang, X., Feng, S., Chen, Y., Feng, Y., & Deng, H. (2016) · Protein & Cell · doi:10.1007/s13238-016-0279-0 · Cited by 16
Xu, Jiang, Shan, S., Feng, Yuling, Chen, C., Yun, Haiteng, & Deng (2016) · 蛋白质与细胞:英文版 · Cited by 5
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CAR immune cells: design principles, resistance and the next generation
Labanieh, L., & Mackall, C. L. (2023) · Nature · doi:10.1038/s41586-023-05707-3 · Cited by 695
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An overview of PROTACs: a promising drug discovery paradigm
Zi, L., Hu, M., Yu, Y., Du, C., Zhou, H., Liu, C., Chen, Y., Fan, L., Ma, H., Gong, Y., et al. (2022) · Molecular Biomedicine · doi:10.1186/s43556-022-00112-0 · Cited by 380
Metadata
- Authors
- Si, J., Shi, X., Sun, S., Zou, B., Li, Y., An, D., Lin, X., Gao, Y., Long, F., Pang, B., Liu, X., Liu, T., Chi, W., Chen, L., Dimitrov, D. S., Sun, Y., Du, X., Yin, W., Gao, G., Min, J., Wei, L., & Liao, X.
- Affiliations
- National Institute of Biological Sciences, Beijing (CN)
- Tsinghua University (CN)
- Sun Yat-sen University (CN)
- Capital Medical University (CN)
- China Academy of Chinese Medical Sciences (CN)
- Central South University (CN)
- University of Pittsburgh (US)
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences (CN)
- Beijing Chao-Yang Hospital, Capital Medical University (CN)
- Xijing Hospital (CN)
- First Affiliated Hospital Zhejiang University (CN)
- Corresponding author
- Wei, Lai
- Liao, Xuebin
- ORCID
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 38
- Issue
- 4
- Pages
- 551-566.e11
- ISSN
- 1535-6108 (ISSN-L)
- OpenAlex
- W3081763916
- Semantic Scholar
- 40ab8b396854539d254f72dff6f7a6a9b2af7c39
- Cited by
- 209
- References
- 45
- Citations by year
- 2026: 40 · 2025: 49 · 2024: 39 · 2023: 42 · 2022: 24 · 2021: 15
- FWCI
- 7.58
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cancer Cell (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Tsinghua University (PCT/CN2019/083499)
- Ministry of Science and Technology of the People's Republic of China (2015CB943201)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Health Sciences › Medicine › Oncology › CAR-T cell therapy research
- Keywords
- HPK1, MAP4K1, T cell exhaustion, T cell dysfunction, NF-κB, Blimp-1, CAR T-cell therapy, cancer immunotherapy, hematologic cancer, solid tumors, PD-1
- MeSH terms
- Animals, Humans, Immunotherapy, Mice, Inbred BALB C, Mice, Inbred C57BL, Neoplasms, T-Lymphocytes, Mice, SCID, Mice, Inbred NOD, Protein Serine-Threonine Kinases, Mice, Knockout, Jurkat Cells, K562 Cells, Xenograft Model Antitumor Assays, Cell Line, Tumor, Cell Proliferation, Kaplan-Meier Estimate
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