Noninvasive interrogation of CD8+ T cell effector function for monitoring early tumor responses to immunotherapy
Haoyi Zhou, Yanpu Wang, Hongchuang Xu, Xiuling Shen, Ting Zhang, Xin Zhou, Yuwen Zeng, Kui Li, Li Zhang, Hua Zhu, Xing Yang, Nan Li, Zhi Yang, Zhaofei Liu, Haoyi Zhou, Yanpu Wang, Hongchuang Xu, Xiuling Shen, Ting Zhang, Xin Zhou, Yuwen Zeng, Kui Li, Li Zhang, Hua Zhu, Xing Yang, Nan Li, Zhi Yang, Zhaofei Liu
Abstract
Accurately identifying patients who respond to immunotherapy remains clinically challenging. A noninvasive method that can longitudinally capture information about immune cell function and assist in the early assessment of tumor responses is highly desirable for precision immunotherapy. Here, we show that PET imaging using a granzyme B-targeted radiotracer named 68Ga-grazytracer, could noninvasively and effectively predict tumor responses to immune checkpoint inhibitors and adoptive T cell transfer therapy in multiple tumor models. 68Ga-grazytracer was designed and selected from several radiotracers based on non-aldehyde peptidomimetics, and exhibited excellent in vivo metabolic stability and favorable targeting efficiency to granzyme B secreted by effector CD8+ T cells during immune responses. 68Ga-grazytracer permitted more sensitive discrimination of responders and nonresponders than did 18F-fluorodeoxyglucose, distinguishing between tumor pseudoprogression and true progression upon immune checkpoint blockade therapy in mouse models with varying immunogenicity. In a preliminary clinical trial with 5 patients, no adverse events were observed after 68Ga-grazytracer injection, and clinical responses in cancer patients undergoing immunotherapy were favorably correlated with 68Ga-grazytracer PET results. These results highlight the potential of 68Ga-grazytracer PET to enhance the clinical effectiveness of granzyme B secretion-related immunotherapies by supporting early response assessment and precise patient stratification in a noninvasive and longitudinal manner.
Trial registration: ClinicalTrials.gov NCT05000372.
Keywords: Cancer immunotherapy; Diagnostic imaging; Oncology.
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References
- Pardoll DM. The blockade of immune checkpoints in cancer immunotherapy. Nat Rev Cancer. 2012;12(4):252–264. doi: 10.1038/nrc3239.
- Ribas A, Wolchok JD. Cancer immunotherapy using checkpoint blockade. Science. 2018;359(6382):1350–1355. doi: 10.1126/science.aar4060.
- Nishino M, et al. Monitoring immune-checkpoint blockade: response evaluation and biomarker development. Nat Rev Clin Oncol. 2017;14(11):655–668. doi: 10.1038/nrclinonc.2017.88.
- Gibney GT, et al. Predictive biomarkers for checkpoint inhibitor-based immunotherapy. Lancet Oncol. 2016;17(12):e542–e551. doi: 10.1016/S1470-2045(16)30406-5.
- Borcoman E, et al. Patterns of response and progression to immunotherapy. Am Soc Clin Oncol Educ Book. 2018;38:169–178.
- Wolchok JD, et al. Guidelines for the evaluation of immune therapy activity in solid tumors: immune-related response criteria. Clin Cancer Res. 2009;15(23):7412–7420. doi: 10.1158/1078-0432.CCR-09-1624.
- Chiou VL, Burotto M. Pseudoprogression and immune-related response in solid tumors. J Clin Oncol. 2015;33(31):3541–3543. doi: 10.1200/JCO.2015.61.6870.
- Seymour L, et al. iRECIST: guidelines for response criteria for use in trials testing immunotherapeutics. Lancet Oncol. 2017;18(3):e143–e152. doi: 10.1016/S1470-2045(17)30074-8.
- Tazdait M, et al. Patterns of responses in metastatic NSCLC during PD-1 or PDL-1 inhibitor therapy: Comparison of RECIST 1.1, irRECIST and iRECIST criteria. Eur J Cancer. 2018;88:38–47. doi: 10.1016/j.ejca.2017.10.017.
- Saida Y, et al. Multimodal molecular imaging detects early responses to immune checkpoint blockade. Cancer Res. 2021;81(13):3693–3705. doi: 10.1158/0008-5472.CAN-20-3182.
- Billan S, et al. Treatment after progression in the era of immunotherapy. Lancet Oncol. 2020;21(10):e463–e476. doi: 10.1016/S1470-2045(20)30328-4.
- James ML, Gambhir SS. A molecular imaging primer: modalities, imaging agents, and applications. Physiol Rev. 2012;92(2):897–965. doi: 10.1152/physrev.00049.2010.
- Phelps ME. PET: the merging of biology and imaging into molecular imaging. J Nucl Med. 2000;41(4):661–681.
- Tagliabue L, Del Sole A. Appropriate use of positron emission tomography with [(18)F]fluorodeoxyglucose for staging of oncology patients. Eur J Intern Med. 2014;25(1):6–11. doi: 10.1016/j.ejim.2013.06.012.
- Xiao Z, et al. ICOS is an indicator of T-cell-mediated response to cancer immunotherapy. Cancer Res. 2020;80(14):3023–3032. doi: 10.1158/0008-5472.CAN-19-3265.
- Kok IC, et al. 89Zr-pembrolizumab imaging as a non-invasive approach to assess clinical response to PD-1 blockade in cancer. Ann Oncol. 2022;33(1):80–88. doi: 10.1016/j.annonc.2021.10.213.
- Bensch F, et al. 89Zr-atezolizumab imaging as a non-invasive approach to assess clinical response to PD-L1 blockade in cancer. Nat Med. 2018;24(12):1852–1858. doi: 10.1038/s41591-018-0255-8.
- Davis AA, Patel VG. The role of PD-L1 expression as a predictive biomarker: an analysis of all US Food and Drug Administration (FDA) approvals of immune checkpoint inhibitors. J Immunother Cancer. 2019;7(1):278. doi: 10.1186/s40425-019-0768-9.
- Rashidian M, et al. Predicting the response to CTLA-4 blockade by longitudinal noninvasive monitoring of CD8 T cells. J Exp Med. 2017;214(8):2243–2255. doi: 10.1084/jem.20161950.
- Tavaré R, et al. An effective immuno-PET imaging method to monitor CD8-dependent responses to immunotherapy. Cancer Res. 2016;76(1):73–82. doi: 10.1158/0008-5472.CAN-15-1707.
- Iravani A, Hicks RJ. Imaging the cancer immune environment and its response to pharmacologic intervention, part 2: the role of novel PET agents. J Nucl Med. 2020;61(11):1553–1559. doi: 10.2967/jnumed.120.248823.
- Alam IS, et al. Imaging activated T cells predicts response to cancer vaccines. J Clin Invest. 2018;128(6):2569–2580. doi: 10.1172/JCI98509.
- Sim GC, et al. IL-2 therapy promotes suppressive ICOS+ Treg expansion in melanoma patients. J Clin Invest. 2014;124(1):99–110. doi: 10.1172/JCI46266.
- Trapani JA, Smyth MJ. Functional significance of the perforin/granzyme cell death pathway. Nat Rev Immunol. 2002;2(10):735–747. doi: 10.1038/nri911.
- Larimer BM, et al. Granzyme B PET imaging as a predictive biomarker of immunotherapy response. Cancer Res. 2017;77(9):2318–2327. doi: 10.1158/0008-5472.CAN-16-3346.
- Larimer BM, et al. The effectiveness of checkpoint inhibitor combinations and administration timing can be measured by granzyme B PET imaging. Clin Cancer Res. 2019;25(4):1196–1205. doi: 10.1158/1078-0432.CCR-18-2407.
- LaSalle T, et al. Granzyme B PET imaging of immune-mediated tumor killing as a tool for understanding immunotherapy response. J Immunother Cancer. 2020;8(1):e000291. doi: 10.1136/jitc-2019-000291.
- Thornberry NA, et al. A combinatorial approach defines specificities of members of the caspase family and granzyme B. Functional relationships established for key mediators of apoptosis. J Biol Chem. 1997;272(29):17907–17911. doi: 10.1074/jbc.272.29.17907.
- Casciola-Rosen L, et al. Mouse and human granzyme B have distinct tetrapeptide specificities and abilities to recruit the bid pathway. J Biol Chem. 2007;282(7):4545–4552. doi: 10.1074/jbc.M606564200.
- Willoughby CA, et al. Discovery of potent, selective human granzyme B inhibitors that inhibit CTL mediated apoptosis. Bioorg Med Chem Lett. 2002;12(16):2197–2200. doi: 10.1016/S0960-894X(02)00363-3.
- He S, et al. Near-infrared fluorescent macromolecular reporters for real-time imaging and urinalysis of cancer immunotherapy. J Am Chem Soc. 2020;142(15):7075–7082. doi: 10.1021/jacs.0c00659.
- Borcoman E, et al. Novel patterns of response under immunotherapy. Ann Oncol. 2019;30(3):385–396. doi: 10.1093/annonc/mdz003.
- Capaccione KM, et al. Granzyme B PET imaging of the innate immune response. Molecules. 2020;25(13):3102. doi: 10.3390/molecules25133102.
- Voskoboinik I, et al. Perforin and granzymes: function, dysfunction and human pathology. Nat Rev Immunol. 2015;15(6):388–400. doi: 10.1038/nri3839.
- Medler TR, et al. Defining immunogenic and radioimmunogenic tumors. Front Oncol. 2021;11:667075. doi: 10.3389/fonc.2021.667075.
- Holmgaard RB, et al. Targeting the TGFβ pathway with galunisertib, a TGFβRI small molecule inhibitor, promotes anti-tumor immunity leading to durable, complete responses, as monotherapy and in combination with checkpoint blockade. J Immunother Cancer. 2018;6(1):47. doi: 10.1186/s40425-018-0356-4.
- Ito M, et al. Brain regulatory T cells suppress astrogliosis and potentiate neurological recovery. Nature. 2019;565(7738):246–250. doi: 10.1038/s41586-018-0824-5.
- Zhou T, et al. IL-18BP is a secreted immune checkpoint and barrier to IL-18 immunotherapy. Nature. 2020;583(7817):609–614. doi: 10.1038/s41586-020-2422-6.
- Cottrell TR, Taube JM. PD-L1 and emerging biomarkers in immune checkpoint blockade therapy. Cancer J. 2018;24(1):41–46. doi: 10.1097/PPO.0000000000000301.
- Hellmann MD, et al. Nivolumab plus ipilimumab in lung cancer with a high tumor mutational burden. N Engl J Med. 2018;378(22):2093–2104. doi: 10.1056/NEJMoa1801946.
- Ayers M, et al. IFN-γ-related mRNA profile predicts clinical response to PD-1 blockade. J Clin Invest. 2017;127(8):2930–2940. doi: 10.1172/JCI91190.
- Goggi JL, et al. Granzyme B PET imaging of immune checkpoint inhibitor combinations in colon cancer phenotypes. Mol Imaging Biol. 2020;22(5):1392–1402. doi: 10.1007/s11307-020-01519-3.
- Goggi JL, et al. Granzyme B PET imaging of combined chemotherapy and immune checkpoint inhibitor therapy in colon cancer. Mol Imaging Biol. 2021;23(5):714–723. doi: 10.1007/s11307-021-01596-y.
- Abbasi Gharibkandi N, et al. Strategies for improving stability and pharmacokinetic characteristics of radiolabeled peptides for imaging and therapy. Peptides. 2020;133:170385. doi: 10.1016/j.peptides.2020.170385.
- Ngwa W, et al. Using immunotherapy to boost the abscopal effect. Nat Rev Cancer. 2018;18(5):313–322. doi: 10.1038/nrc.2018.6.
- Herrera FG, et al. Radiotherapy combination opportunities leveraging immunity for the next oncology practice. CA Cancer J Clin. 2017;67(1):65–85. doi: 10.3322/caac.21358.
- Rowshani AT, et al. Hyperexpression of the granzyme B inhibitor PI-9 in human renal allografts: a potential mechanism for stable renal function in patients with subclinical rejection. Kidney Int. 2004;66(4):1417–1422. doi: 10.1111/j.1523-1755.2004.00903.x.
- Suthanthiran M, et al. Urinary-cell mRNA profile and acute cellular rejection in kidney allografts. N Engl J Med. 2013;369(1):20–31. doi: 10.1056/NEJMoa1215555.
- Konishi M, et al. Imaging granzyme B activity assesses immune-mediated myocarditis. Circ Res. 2015;117(6):502–512. doi: 10.1161/CIRCRESAHA.115.306364.
- Ferreira CA, et al. Non-invasive detection of immunotherapy-induced adverse events. Clin Cancer Res. 2021;27(19):5353–5364. doi: 10.1158/1078-0432.CCR-20-4641.
- Thiery J, et al. Perforin pores in the endosomal membrane trigger the release of endocytosed granzyme B into the cytosol of target cells. Nat Immunol. 2011;12(8):770–777. doi: 10.1038/ni.2050.
- Zhao Y, et al. ICAM-1 orchestrates the abscopal effect of tumor radiotherapy. Proc Natl Acad Sci U S A. 2021;118(14):e2010333118. doi: 10.1073/pnas.2010333118.
- Lai J, et al. Noninvasive small-animal imaging of galectin-1 upregulation for predicting tumor resistance to radiotherapy. Biomaterials. 2018;158:1–9. doi: 10.1016/j.biomaterials.2017.12.012.
- Wahl RL, et al. From RECIST to PERCIST: Evolving Considerations for PET response criteria in solid tumors. J Nucl Med. 2009;50(suppl 1):122S–150S. doi: 10.2967/jnumed.108.057307.
- Young H, et al. Measurement of clinical and subclinical tumour response using [18F]-fluorodeoxyglucose and positron emission tomography: review and 1999 EORTC recommendations. European Organization for Research and Treatment of Cancer (EORTC) PET Study Group. Eur J Cancer. 1999;35(13):1773–1782. doi: 10.1016/S0959-8049(99)00229-4.
- Eisenhauer EA, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1) Eur J Cancer. 2009;45(2):228–247. doi: 10.1016/j.ejca.2008.10.026.
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