Preclinical platforms to study therapeutic efficacy of human γδ T cells
Lingling Ou
Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Stomatological Hospital, Southern Medical University, Guangzhou, China
Search for more papers by this authorHuaishan Wang
Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Search for more papers by this authorHui Huang
The First Affiliated Hospital of Jinan University, Guangzhou, China
Search for more papers by this authorZhiyan Zhou
The First Affiliated Hospital of Jinan University, Guangzhou, China
Search for more papers by this authorQiang Lin
The First Affiliated Hospital of Jinan University, Guangzhou, China
Search for more papers by this authorYeye Guo
Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Search for more papers by this authorTara Mitchell
Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Search for more papers by this authorAlexander C. Huang
Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Search for more papers by this authorGiorgos Karakousis
Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Search for more papers by this authorLynn Schuchter
Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Search for more papers by this authorRavi Amaravadi
Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Search for more papers by this authorWei Guo
Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Search for more papers by this authorJoseph Salvino
Molecular and Cellular Oncogenesis Program, The Wistar Institute, Philadelphia, Pennsylvania, USA
Search for more papers by this authorMeenhard Herlyn
Molecular and Cellular Oncogenesis Program, The Wistar Institute, Philadelphia, Pennsylvania, USA
Search for more papers by this authorCorresponding Author
Xiaowei Xu
Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Correspondence
Dr. Xiaowei Xu, Department of Pathology and Laboratory Medicine, University of Pennsylvania, 6th Founders Building, 3400 Spruce Street, Philadelphia, PA 19104, USA.
Email: [email protected]
Search for more papers by this authorLingling Ou
Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Stomatological Hospital, Southern Medical University, Guangzhou, China
Search for more papers by this authorHuaishan Wang
Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Search for more papers by this authorHui Huang
The First Affiliated Hospital of Jinan University, Guangzhou, China
Search for more papers by this authorZhiyan Zhou
The First Affiliated Hospital of Jinan University, Guangzhou, China
Search for more papers by this authorQiang Lin
The First Affiliated Hospital of Jinan University, Guangzhou, China
Search for more papers by this authorYeye Guo
Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Search for more papers by this authorTara Mitchell
Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Search for more papers by this authorAlexander C. Huang
Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Search for more papers by this authorGiorgos Karakousis
Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Search for more papers by this authorLynn Schuchter
Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Search for more papers by this authorRavi Amaravadi
Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Search for more papers by this authorWei Guo
Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Search for more papers by this authorJoseph Salvino
Molecular and Cellular Oncogenesis Program, The Wistar Institute, Philadelphia, Pennsylvania, USA
Search for more papers by this authorMeenhard Herlyn
Molecular and Cellular Oncogenesis Program, The Wistar Institute, Philadelphia, Pennsylvania, USA
Search for more papers by this authorCorresponding Author
Xiaowei Xu
Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Correspondence
Dr. Xiaowei Xu, Department of Pathology and Laboratory Medicine, University of Pennsylvania, 6th Founders Building, 3400 Spruce Street, Philadelphia, PA 19104, USA.
Email: [email protected]
Search for more papers by this authorGW and XX are scientific co-founders of CureBiotech and Exio Biosciences.
Abstract
Background
Gamma delta (γδ) T lymphocytes are promising candidate for adoptive T cell therapy, however, their treatment efficacy is not satisfactory. Vδ2 T cells are unique to primates and few suitable models are available to assay their anti-tumour function.
Methods
We tested human γδ T cell activation, tumour infiltration, and tumour-killing in four three-dimensional (3D) models, including unicellular, bicellular and multicellular melanoma spheroids, and patient-derived melanoma organoids. We studied the effects of checkpoint inhibitors on γδ T cells and performed a small molecule screen using these platforms.
Results
γδ T cells rapidly responded to melanoma cells and infiltrated melanoma spheroids better than αβ T cells in PBMCs. Cancer-associated fibroblasts (CAFs) in bicellular spheroids, stroma cells in multicellular melanoma spheroids and inhibitory immune cells in organoids significantly inhibited immune cell infiltrates including γδ T cells and lessened their cytotoxicity to tumour cells. Tumour-infiltrating γδ T cells showed exhausted immunophenotypes with high checkpoints expression (CTLA-4, PD-1 and PD-L1). Immune checkpoint inhibitors increased γδ T cell infiltration of 3D models and killing of melanoma cells in all four 3D models. Our small molecule screen assay and subsequent mechanistic studies demonstrated that epigenetic modifiers enhanced the chemotaxis and cytotoxicity of γδ T cells through upregulating MICA/B, inhibiting HDAC6/7 pathway and downregulating the levels of PD-L1 and PD-L2 in CAFs and tumour cells. These compounds increased CXCR4 and CD107a expression, IFN-γ production and decreased PD-1 expression of γδ T cells.
Conclusions
Tumour-infiltrating γδ T cells show exhausted immunophenotypes and limited anti-tumour capacity in melanoma 3D models. Checkpoint inhibitors and epigenetic modifiers enhance anti-tumour functions of γδ T cells. These four 3D models provided valuable preclinical platforms to test γδ T cell functions for immunotherapy.
Supporting Information
Filename | Description |
---|---|
ctm2814-sup-0001-figureS1.jpg1.6 MB | Supporting Information |
ctm2814-sup-0002-figureS2.jpg3.4 MB | Supporting Information |
ctm2814-sup-0003-figureS3.jpg1.2 MB | Supporting Information |
ctm2814-sup-0004-figureS4.jpg1.1 MB | Supporting Information |
ctm2814-sup-0005-figureS5.jpg517.3 KB | Supporting Information |
ctm2814-sup-0006-figureS6.jpg5.4 MB | Supporting Information |
ctm2814-sup-0007-figureS7.jpg1.1 MB | Supporting Information |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
REFERENCES
- 1Van Acker HH, Anguille S, Van Tendeloo VF, Lion E. Empowering gamma delta T cells with antitumor immunity by dendritic cell-based immunotherapy. Oncoimmunology. 2015; 4(8):e1021538.
- 2Girard P, Charles J, Cluzel C, et al. The features of circulating and tumor-infiltrating gammadelta T cells in melanoma patients display critical perturbations with prognostic impact on clinical outcome. Oncoimmunology. 2019; 8(8):1601483.
- 3Van Acker HH, Anguille S, Willemen Y, Van den Bergh JM, Berneman ZN, Lion E, et al. Interleukin-15 enhances the proliferation, stimulatory phenotype, and antitumor effector functions of human gamma delta T cells. J Hematol Oncol. 2016; 9(1): 101.
- 4Deniger DC, Moyes JS, Cooper LJ. Clinical applications of gamma delta T cells with multivalent immunity. Front Immunol. 2014; 5: 636.
- 5Pitt JM, Vetizou M, Daillere R, et al. Resistance mechanisms to immune-checkpoint blockade in cancer: Tumor-intrinsic and -extrinsic factors. Immunity. 2016; 44(6): 1255-1269.
- 6Sullivan LC, Shaw EM. Westall GP. gammadelta T cells in transplantation: Friend and foe. Transplantation. 2018; 102(12): 1970-1971.
- 7Varesano S, Zocchi MR, Poggi A. Zoledronate triggers vdelta2 T cells to destroy and kill spheroids of colon carcinoma: Quantitative image analysis of three-dimensional cultures. Front Immunol. 2018; 9: 998.
- 8Grivennikov SI, Greten FR, Karin M. Immunity, inflammation, and cancer. Cell. 2010; 140(6): 883-899.
- 9Erdogan B, DJ Webb. Cancer-associated fibroblasts modulate growth factor signaling and extracellular matrix remodeling to regulate tumor metastasis. Biochem Soc Trans. 2017; 45(1): 229-236.
- 10Gascard P, Tlsty TD. Carcinoma-associated fibroblasts: Orchestrating the composition of malignancy. Genes Dev. 2016; 30(9): 1002-1019.
- 11Costa A, Kieffer Y, Scholer-Dahirel A, et al. Fibroblast heterogeneity and immunosuppressive environment in human breast cancer. Cancer Cell. 2018; 33(3): 463-479.
- 12Fiori ME, Di Franco S, Villanova L, Bianca P, Stassi G, De Maria R. Cancer-associated fibroblasts as abettors of tumor progression at the crossroads of EMT and therapy resistance. Mol Cancer. 2019; 18(1): 70.
- 13Pauza CD, Liou ML, Lahusen T, et al. Gamma delta T cell therapy for cancer: It is good to be local. Front Immunol. 2018; 9: 1305.
- 14Zhao X, Subramanian S. Intrinsic resistance of solid tumors to immune checkpoint blockade therapy. Cancer Res. 2017; 77(4): 817-822.
- 15Clevers H. Modeling development and disease with organoids. Cell. 2016; 165(7): 1586-1597.
- 16Hirschhaeuser F, Menne H, Dittfeld C, West J, Mueller-Klieser W, Kunz-Schughart LA. Multicellular tumor spheroids: An underestimated tool is catching up again. J Biotechnol. 2010; 148(1): 3-15.
- 17Kunz-Schughart LA, Freyer JP, Hofstaedter F, Ebner R. The use of 3-D cultures for high-throughput screening: The multicellular spheroid model. J Biomol Screen. 2004; 9(4): 273-285.
- 18Jenkins RW, Aref AR, Lizotte PH, et al. Ex vivo profiling of PD-1 blockade using organotypic tumor spheroids. Cancer Discov. 2018; 8(2): 196-215.
- 19Lanuza PM, Vigueras A, Olivan S, et al. Activated human primary NK cells efficiently kill colorectal cancer cells in 3D spheroid cultures irrespectively of the level of PD-L1 expression. Oncoimmunology. 2018; 7(4):e1395123.
- 20Hirt C, Papadimitropoulos A, Mele V, et al. In vitro 3D models of tumor-immune system interaction. Adv Drug Deliv Rev. 2014; 79-80: 145-154.
10.1016/j.addr.2014.05.003 Google Scholar
- 21Musso A, Catellani S, Canevali P, et al. Aminobisphosphonates prevent the inhibitory effects exerted by lymph node stromal cells on anti-tumor Vdelta 2 T lymphocytes in non-Hodgkin lymphomas. Haematologica. 2014; 99(1): 131-139.
- 22Zocchi MR, Costa D, Vene R, et al. Zoledronate can induce colorectal cancer microenvironment expressing BTN3A1 to stimulate effector gammadelta T cells with antitumor activity. Oncoimmunology. 2017; 6(3):e1278099.
- 23Brás MM, Radmacher M, Sousa SR, Granja PL. Melanoma in the eyes of mechanobiology. Front Cell Dev Biol. 2020; 8: 54.
- 24Liu T, Zhou L, Yang K, et al. The β-catenin/YAP signaling axis is a key regulator of melanoma-associated fibroblasts. Signal Transduct Target Ther. 2019; 4: 63.
- 25Budhu S, Loike JD, Pandolfi A, et al. CD8+ T cell concentration determines their efficiency in killing cognate antigen-expressing syngeneic mammalian cells in vitro and in mouse tissues. J Exp Med. 2010; 207(1): 223-235.
- 26Giannattasio A, Weil S, Kloess S, et al. Cytotoxicity and infiltration of human NK cells in in vivo-like tumor spheroids. BMC Cancer. 2015; 15: 351.
- 27Jiang X, Xu J, Liu M, et al. Adoptive CD8(+) T cell therapy against cancer: Challenges and opportunities. Cancer Lett. 2019; 462: 23-32.
- 28Kabelitz D, Serrano R, Kouakanou L, Peters C, Kalyan S. Cancer immunotherapy with γδ T cells: Many paths ahead of us. Cell Mol Immunol. 2020; 17(9): 925-939.
- 29Guillerey C, Harjunpää H, Carrié N, et al. TIGIT immune checkpoint blockade restores CD8(+) T-cell immunity against multiple myeloma. Blood. 2018; 132(16): 1689-1694.
- 30Xu X, Davelaar N, Mus AM, et al. Interleukin-17A is produced by CD4+ but not CD8+ T cells in synovial fluid following T cell receptor activation and regulates different inflammatory mediators compared to tumor necrosis factor in a model of psoriatic arthritis synovitis. Arthritis Rheumatol. 2020; 72(8): 1303-1313.
- 31Kobayashi H, Tanaka Y, Yagi J, Minato N, Tanabe K. Phase I/II study of adoptive transfer of gamma delta T cells in combination with zoledronic acid and IL-2 to patients with advanced renal cell carcinoma. Cancer Immunol Immunother. 2011; 60(8): 1075-1084.
- 32Schultze JL, Anderson KC, Gilleece MH, Gribben JG, Nadler LM. A pilot study of combined immunotherapy with autologous adoptive tumour-specific T-cell transfer, vaccination with CD40-activated malignant B cells and interleukin 2. Br J Haematol. 2001; 113(2): 455-460.
- 33Ou L, Wang H, Liu Q, et al. Dichotomous and stable gamma delta T-cell number and function in healthy individuals. J Immunother Cancer. 2021; 9(5):e002274.
- 34Kim DJ, Dunleavey JM, Xiao L, et al. Suppression of TGFβ-mediated conversion of endothelial cells and fibroblasts into cancer associated (myo)fibroblasts via HDAC inhibition. Br J Cancer. 2018; 118(10): 1359-1368.
- 35Li A, Chen P, Leng Y, Kang J. Histone deacetylase 6 regulates the immunosuppressive properties of cancer-associated fibroblasts in breast cancer through the STAT3-COX2-dependent pathway. Oncogene. 2018; 37(45): 5952-5966.
- 36Chitadze G, Lettau M, Bhat J, et al. Shedding of endogenous MHC class I-related chain molecules A and B from different human tumor entities: Heterogeneous involvement of the “a disintegrin and metalloproteases” 10 and 17. Int J Cancer. 2013; 133(7): 1557-1566.
- 37Zhu J, Petit PF, Van den Eynde BJ. Apoptosis of tumor-infiltrating T lymphocytes: A new immune checkpoint mechanism. Cancer Immunol Immunother. 2019; 68(5): 835-847.
- 38Lakins MA, Ghorani E, Munir H, Martins CP, Shields JD. Cancer-associated fibroblasts induce antigen-specific deletion of CD8 (+) T cells to protect tumour cells. Nat Commun. 2018; 9(1): 948.
- 39Jones DL, Haak AJ, Caporarello N, et al. TGFβ-induced fibroblast activation requires persistent and targeted HDAC-mediated gene repression. J Cell Sci. 2019; 132(20):jcs233486.
- 40Banik D, Noonepalle S, Hadley M, et al. HDAC6 plays a noncanonical role in the regulation of antitumor immune responses, dissemination, and invasiveness of breast cancer. Cancer Res. 2020; 80(17): 3649-3662.
- 41Zhao Y, Niu C, Cui J. Gamma-delta (gammadelta) T cells: Friend or foe in cancer development?. J Transl Med. 2018; 16(1): 3.
- 42Oatmen KE, Cull E, Spinale FG. Heart failure as interstitial cancer: Emergence of a malignant fibroblast phenotype. Nat Rev Cardiol. 2020; 17(8): 523-531.
- 43Lynch MD, Watt FM. Fibroblast heterogeneity: Implications for human disease. J Clin Invest. 2018; 128(1): 26-35.
- 44Dieli F, Stassi G, Todaro M, Meraviglia S, Caccamo N, Cordova A. Distribution, function and predictive value of tumor-infiltrating γδ T lymphocytes. Oncoimmunology. 2013; 2(4):e23434.
- 45Ma C, Zhang Q, Ye J, et al. Tumor-infiltrating γδ T lymphocytes predict clinical outcome in human breast cancer. J Immunol. 1950; 189(10): 5029-5036.
- 46Gao Y, Yang W, Pan M, et al. Gamma delta T cells provide an early source of interferon gamma in tumor immunity. J Exp Med. 2003; 198(3): 433-442.
- 47Paczulla AM, Rothfelder K, Raffel S, et al. Absence of NKG2D ligands defines leukaemia stem cells and mediates their immune evasion. Nature. 2019; 572(7768): 254-259.
- 48Hicks KC, Knudson KM, Lee KL, et al. Cooperative immune-mediated mechanisms of the HDAC inhibitor entinostat, an IL15 superagonist, and a cancer vaccine effectively synergize as a novel cancer therapy. Clin Cancer Res. 2020; 26(3): 704-716.
- 49Pili R, Quinn DI, Hammers HJ, et al. Immunomodulation by entinostat in renal cell carcinoma patients receiving high-dose interleukin 2: A multicenter, single-arm, phase I/II trial (NCI-CTEP#7870). Clin Cancer Res. 2017; 23(23): 7199-7208.
- 50Wang Z, Wang Z, Li S, et al. Decitabine enhances Vγ9Vδ2 T cell-mediated cytotoxic effects on osteosarcoma cells via the NKG2DL–NKG2D axis. Front Immunol. 2018; 9: 1239.
- 51Reid MA, Dai Z, Locasale JW. The impact of cellular metabolism on chromatin dynamics and epigenetics. Nat Cell Biol. 2017; 19(11): 1298-1306.
- 52Castella B, Kopecka J, Sciancalepore P, et al. The ATP-binding cassette transporter A1 regulates phosphoantigen release and Vgamma9Vdelta2 T cell activation by dendritic cells. Nat Commun. 2017; 8:15663.
- 53Ayers GD, McKinley ET, Zhao P, et al. Volume of preclinical xenograft tumors is more accurately assessed by ultrasound imaging than manual caliper measurements. J Ultrasound Med. 2010; 29(6): 891-901.
- 54Chen W, Wong C, Vosburgh E, Levine AJ, Foran DJ, Xu EY. High-throughput image analysis of tumor spheroids: A user-friendly software application to measure the size of spheroids automatically and accurately. J Vis Exp. 2014; 89:51639.