The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
CDK4/6 Inhibition Augments Antitumor Immunity by Enhancing T-cell Activation
Open accessPublished version of a preprint
Abstract
Immune checkpoint blockade, exemplified by antibodies targeting the PD-1 receptor, can induce durable tumor regressions in some patients. To enhance the efficacy of existing immunotherapies, we screened for small molecules capable of increasing the activity of T cells suppressed by PD-1. Here, we show that short-term exposure to small-molecule inhibitors of cyclin-dependent kinases 4 and 6 (CDK4/6) significantly enhances T-cell activation, contributing to antitumor effects in vivo, due in part to the derepression of NFAT family proteins and their target genes, critical regulators of T-cell function. Although CDK4/6 inhibitors decrease T-cell proliferation, they increase tumor infiltration and activation of effector T cells. Moreover, CDK4/6 inhibition augments the response to PD-1 blockade in a novel ex vivo organotypic tumor spheroid culture system and in multiple in vivo murine syngeneic models, thereby providing a rationale for combining CDK4/6 inhibitors and immunotherapies. Significance: Our results define previously unrecognized immunomodulatory functions of CDK4/6 and suggest that combining CDK4/6 inhibitors with immune checkpoint blockade may increase treatment efficacy in patients. Furthermore, our study highlights the critical importance of identifying complementary strategies to improve the efficacy of immunotherapy for patients with cancer. Cancer Discov; 8(2); 216–33. ©2017 AACR. See related commentary by Balko and Sosman, p. 143. See related article by Jenkins et al., p. 196. This article is highlighted in the In This Issue feature, p. 127
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In the citing paper
“cyclin-dependent kinase inhibitors 4 and 6 (CDK4/6) facilitate T cell activation, resulting in a higher number of tumour-infiltrating T cells in PDOs, cultivated over several days in a microfluidic 3D chip setup.”
From Human disease models in drug development (2023) · cites this paper as [129]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“CDK4/6 inhibition also showed high in vitro and in vivo activity and synergy with anti-PD-1 blocking antibodies129.”
From Human disease models in drug development (2023) · cites this paper as [129]
In the citing paper
“activation of effector T (TEFF) cells upon nuclear factor of activated T cells 1 (NFATC1, best known as NFAT) signaling and interleukin-2 (IL2) secretion (Deng et al., 2018)”
From Immunomodulation by targeted anticancer agents (2021) · cites this paper as Deng et al., 2018
In the citing paper
“CDK4/6 inhibition is also able to stimulate PD-1 expressing T-cells in vitro and enhance T cell infiltration (Deng et al., 2017).”
From CDK4/6 Inhibitors: The Mechanism of Action May Not Be as Simple as Once Thought (2018) · cites this paper as Deng et al., 2017
In the citing paper
“This enhancement is driven at least in part by CDK6-induced phosphorylation of NFAT4.”
From CDK4/6 Inhibitors: The Mechanism of Action May Not Be as Simple as Once Thought (2018) · cites this paper as Deng et al., 2017
In the citing paper
“Combining palbociclib with a PD-1 blockade enhanced tumor regression and improved overall survival in mouse xenograft models of colon adenocarcinoma (Deng et al., 2017; Zhang et al., 2018).”
From CDK4/6 Inhibitors: The Mechanism of Action May Not Be as Simple as Once Thought (2018) · cites this paper as Deng et al., 2017
In the citing paper
“CDK4/6 inhibitors improved the efficacy of α-PD-1 in murine models by enhancing lymphocyte infiltration and TIL activities [245–248].”
From Combination strategies with PD-1/PD-L1 blockade: current advances and future directions (2022) · cites this paper as [248]
In the citing paper
“We also recently demonstrated that CDK6, but not CDK4, phosphorylates NFAT family transcription factors to promote T cell activation and enhance the anti-tumor immune response[7].”
From Development of dual and selective degraders of cyclin-dependent kinases 4 and 6 (2019) · cites this paper as [7]
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Citations
Cites
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
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
Adverse Renal Effects of Immune Checkpoint Inhibitors: A Narrative Review
Wanchoo, R., Karam, S., Uppal, N. N., Barta, V. S., Deray, G., Devoe, C., Launay‐Vacher, V., Jhaveri, K. D., & on behalf of Cancer and Kidney International Network Workgroup on Immune Checkpoint Inhibitors (2017) · American Journal of Nephrology · doi:10.1159/000455014 · Cited by 15,320
The blockade of immune checkpoints in cancer immunotherapy
Pardoll, D. M. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3239 · Cited by 13,838 · cited 12×
“The digested NFATc3 and His-GB1 were separated and further purified using size exclusion chromatography (GE Healthcare Life Sciences “Superdex 75 10/300 GL”).”
BackgroundInfluentialNear-optimal probabilistic RNA-seq quantification
Bray, N. L., Pimentel, H., Melsted, P., & Pachter, L. (2016) · Nature Biotechnology · doi:10.1038/nbt.3519 · Cited by 9,723 · cited 11×
“The digested NFATc3 and His-GB1 were separated and further purified using size exclusion chromatography (GE Healthcare Life Sciences “Superdex 75 10/300 GL”).”
BackgroundMethodInfluentialNivolumab versus docetaxel in advanced nonsquamous non-small-cell lung cancer
Borghaei, H., Paz-Ares, L., Horn, L., Spigel, D. R., Steins, M., Ready, N. E., Chow, L. Q., Vokes, E. E., Felip, E., Holgado, E., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1507643 · Cited by 9,335 · cited 11×
“The digested NFATc3 and His-GB1 were separated and further purified using size exclusion chromatography (GE Healthcare Life Sciences “Superdex 75 10/300 GL”).”
BackgroundInfluentialMutational 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
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 · cited 11×
“The digested NFATc3 and His-GB1 were separated and further purified using size exclusion chromatography (GE Healthcare Life Sciences “Superdex 75 10/300 GL”).”
BackgroundInfluentialTumor-associated B7-H1 promotes T-cell apoptosis: A potential mechanism of immune evasion
Dong, H., Strome, S. E., Salomao, D. R., Tamura, H., Hirano, F., Flies, D. B., Roche, P. C., Lu, J., Zhu, G., Tamada, K., et al. (2002) · Nature Medicine · doi:10.1038/nm730 · Cited by 5,025 · cited 3×
“The discovery of immune checkpoint receptors, such as CTLA-4 and PD-1 (5-9), that repress the activity of anti-tumor T cells, led to the development of blocking antibodies directed against these co-inhibitory receptors or their ligands, including ipilimumab (anti-CTLA-4), pembrolizumab (anti-PD-1), nivolumab (anti-PD1…”
BackgroundNeoantigens in cancer immunotherapy
Schumacher, T. N., & Schreiber, R. D. (2015) · Science · doi:10.1126/science.aaa4971 · Cited by 4,783 · cited 11×
“As Kras mutant GEMMs are not responsive to checkpoint blockade (3,44), in part due to a low levels of somatic mutations (45), we utilized the murine syngeneic colon adenocarcinoma model MC38.”
BackgroundMethodInfluential
Cited by
Sorted by citations
Human organs-on-chips for disease modelling, drug development and personalized medicine
Ingber, D. E. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-022-00466-9 · Cited by 1,589
Organoid modeling of the tumor immune microenvironment
Neal, J. T., Li, X., Zhu, J., Giangarra, V., Grzeskowiak, C. L., Ju, J., Liu, I. H., Chiou, S.-H., Salahudeen, A. A., Smith, A. R., et al. (2018) · Cell · doi:10.1016/j.cell.2018.11.021 · Cited by 1,556
“Alternatively, custom microfluidic devices with human tumor suspension-derived microspheroids containing immune cells exhibit response to immunotherapeutics, but without tumor-immune specificity (Deng et al., 2018; Jenkins et al., 2018).”
BackgroundMethodTumour-intrinsic resistance to immune checkpoint blockade
Kalbasi, A. K., & Ribas, A. (2019) · Nature reviews. Immunology · doi:10.1038/s41577-019-0218-4 · Cited by 1,525
A Cancer Cell Program Promotes T Cell Exclusion and Resistance to Checkpoint Blockade
Jerby-Arnon, L., Shah, P., Cuoco, M. S., Rodman, C., Su, M.-J., Melms, J. C., Leeson, R., Kanodia, A., Mei, S., Lin, J.-R., et al. (2018) · Cell · doi:10.1016/j.cell.2018.09.006 · Cited by 1,429
“CDK4/6 Inhibitors Repress the Resistance Program in Melanoma Cells We therefore tested if CDK4/6i could shift the malignant cell population to a less immune resistant state.”
InfluentialSelf-citationCombination strategies with PD-1/PD-L1 blockade: current advances and future directions
Yi, M., Zheng, X., Niu, M., Zhu, S., Ge, H., & Wu, K. (2022) · Molecular Cancer · doi:10.1186/s12943-021-01489-2 · Cited by 1,445
Metadata
- Authors
- Deng, J., Wang, E. S., Jenkins, R. W., Li, S., Dries, R., Yates, K., Chhabra, S., Huang, W., Liu, H., Aref, A. R., Ivanova, E., Paweletz, C. P., Bowden, M., Zhou, C. W., Herter-Sprie, G. S., Sorrentino, J. A., Bisi, J. E., Lizotte, P. H., Merlino, A. A., Quinn, M. M., Bufe, L. E., Yang, A., Zhang, Y., Zhang, H., Gao, P., Chen, T., Cavanaugh, M. E., Rode, A. J., Haines, E., Roberts, P. J., Strum, J. C., Richards, W. G., Lorch, J. H., Parangi, S., Gunda, V., Boland, G. M., Bueno, R., Palakurthi, S., Freeman, G. J., Ritz, J., Haining, W. N., Sharpless, N. E., Arthanari, H., Shapiro, G. I., Barbie, D. A., Gray, N. S., & Wong, K.-K.
- Affiliations
- NYU Langone Health (US)
- Harvard University (US)
- Dana-Farber Cancer Institute (US)
- 9G1 Therapeutics, Research Triangle Park, North Carolina.
- Brigham and Women's Hospital (US)
- University of North Carolina at Chapel Hill (US)
- Corresponding author
- Barbie, David A.
- Gray, Nathanael S.
- Wong, Kwok-Kin
- ORCID
- Deng, Jiehui
- Wang, Eric S.
- Jenkins, Russell W.
- Li, Shuai
- Dries, Ruben
- Yates, Kathleen
- Chhabra, Sandeep
- Huang, Wei
- Liu, Hongye
- Aref, Amir R.
- Ivanova, Elena
- Paweletz, Cloud P.
- Bowden, Michaela
- Zhou, Chensheng W.
- Herter-Sprie, Grit S.
- Sorrentino, Jessica A.
- Bisi, John E.
- Lizotte, Patrick H.
- Yang, Annan
- Zhang, Hua
- Gao, Peng
- Chen, Ting
- Haines, Eric
- Roberts, Patrick J.
- Strum, Jay C.
- Richards, William G.
- Lorch, Jochen H.
- Parangi, Sareh
- Boland, Genevieve M.
- Bueno, Raphael
- Palakurthi, Sangeetha
- Freeman, Gordon J.
- Ritz, Jerome
- Haining, W. Nicholas
- Sharpless, Norman E.
- Arthanari, Haribabu
- Shapiro, Geoffrey I.
- Barbie, David A.
- Gray, Nathanael S.
- Wong, Kwok-Kin
- Venue
- Cancer Discovery
- Published
- 2018-02-01
- Volume
- 8
- Issue
- 2
- Pages
- 216-233
- ISSN
- 2159-8274 (ISSN-L)
- 2159-8290
- PMC
- PMC5809273
- OpenAlex
- W2766016994
- Cited by
- 770
- References
- 63
- Citations by year
- 2026: 62 · 2025: 111 · 2024: 83 · 2023: 109 · 2022: 115 · 2021: 104 · 2020: 96 · 2019: 61 · 2018: 29
- FWCI
- 22.43
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Cancer Discovery (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Damon Runyon Cancer Research Foundation (Damon Runyon) (DRG-2270-16)
- HHS | NIH | National Cancer Institute (NCI) (CA154303-05, CA179483-03, P01CA120964, 5R01CA163896-04, 5R01CA140594-07, 5R01CA122794-10, 5R01CA166480-04)
- Dana-Farber Cancer Institute (DFCI) (Medical Oncology Discovery Grant)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Signaling Pathways in Disease
- Keywords
- CDK4/6 inhibitors, antitumor immunity, T cell activation, anti-PD-1 therapy, immune checkpoint blockade, combination immunotherapy, tumor-infiltrating T cells, small-molecule immunomodulators
- MeSH terms
- Antineoplastic Agents, Immunological, Animals, Antineoplastic Agents, Humans, Lymphocyte Activation, Neoplasms, T-Lymphocytes, Lymphocytes, Tumor-Infiltrating, Xenograft Model Antitumor Assays, Cell Line, Tumor, Protein Kinase Inhibitors, Cyclin-Dependent Kinase 4, Cyclin-Dependent Kinase 6, Mice
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