Abstract
Purpose
Tumor heterogeneity limits the predictive value of PD-L1 expression and influences the outcomes of the immunohistochemical assay for therapy-induced changes in PD-L1 levels. This study aimed to determine the predictive value of PD-L1 for non-small cell lung carcinoma (NSCLC), thereby developing imaging agents to non-invasively image and examine the effect of the therapeutic response to PD-L1 blockade therapy.
Methods
A cohort of 102 patients with lung cancer was analyzed, and the prognostic significance of PD-L1 expression level was investigated. Recombinant human PD-1 ECD protein (rhPD1) was expressed, purified, and labeled with 64Cu for the evaluation of PD-L1 status in tumors. Mice subcutaneously bearing PD-L1 high-expressing tumor HCC827 and PD-L1 low-expressing tumor A549 were used to determine tracer-target specificity and examine the effect of therapeutic response to PD-L1 blockade therapy.
Results
PD-L1 was proved to be a good prognosis marker for NSCLC, and its expression was correlated with the histology of NSCLC. PET imaging revealed high tumor accumulation of 64Cu-NOTA-rhPD1 in HCC827 tumors (9.0 ± 0.5%ID/g), whereas it was 3.2 ± 0.4%ID/g in A549 tumors at 3 h post-injection. The lower tumor uptake (3.1 ± 0.3%ID/g) of 64Cu-labeled denatured rhPD1 in HCC827 tumors at 3 h post-injection (p < 0.001) demonstrated the target specificity of 64Cu-NOTA-rhPD1. Furthermore, PET showed that 64Cu-NOTA-rhPD1 sensitively monitored treatment-related changes in PD-L1 expression, and seemed to be superior to [18F]FDG.
Conclusion
We identified PD-L1 as a good prognosis marker for surgically resected NSCLC and developed the PET tracer 64Cu-NOTA-rhPD1 with high target specificity for PD-L1.
Similar content being viewed by others
References
Lu T, Yang X, Huang Y, Zhao M, Li M, Ma K, et al. Trends in the incidence, treatment, and survival of patients with lung cancer in the last four decades. Cancer Manag Res. 2019;11:943–53.
Sgambato A, Casaluce F, Sacco PC, Palazzolo G, Maione P, Rossi A, et al. Anti PD-1 and PDL-1 immunotherapy in the treatment of advanced non- small cell lung cancer (NSCLC): a review on toxicity profile and its management. Curr Drug Saf. 2016;11:62–8.
Lantuejoul S, Sound-Tsao M, Cooper WA, Girard N, Hirsch FR, Roden AC, et al. PD-L1 testing for lung cancer in 2019: perspective from the IASLC Pathology Committee. J Thorac Oncol. 2020;15:499–519.
Hartley GP, Chow L, Ammons DT, Wheat WH, Dow SW. Programmed cell death ligand 1 (PD-L1) signaling regulates macrophage proliferation and activation. Cancer Immunol Res. 2018;6:1260–73.
Latchman YE, Liang SC, Wu Y, Chernova T, Sobel RA, Klemm M, et al. PD-L1-deficient mice show that PD-L1 on T cells, antigen-presenting cells, and host tissues negatively regulates T cells. Proc Natl Acad Sci U S A. 2004;101:10691–6.
Iraolagoitia XL, Spallanzani RG, Torres NI, Araya RE, Ziblat A, Domaica CI, et al. NK cells restrain spontaneous antitumor CD8+ T cell priming through PD-1/PD-L1 interactions with dendritic cells. J Immunol. 2016;197:953–61.
Dong W, Wu X, Ma S, Wang Y, Nalin AP, Zhu Z, et al. The mechanism of anti-PD-L1 antibody efficacy against PD-L1-negative tumors identifies NK cells expressing PD-L1 as a cytolytic effector. Cancer Discov. 2019;9:1422–37.
Shimoji M, Shimizu S, Sato K, Suda K, Kobayashi Y, Tomizawa K, et al. Clinical and pathologic features of lung cancer expressing programmed cell death ligand 1 (PD-L1). Lung Cancer. 2016;98:69–75.
Herbst RS, Giaccone G, de Marinis F, Reinmuth N, Vergnenegre A, Barrios CH, et al. Atezolizumab for first-line treatment of PD-L1-selected patients with NSCLC. N Engl J Med. 2020;383:1328–39.
Collins JM, Gulley JL. Product review: avelumab, an anti-PD-L1 antibody. Hum Vaccin Immunother. 2019;15:891–908.
Rolfo C, Caglevic C, Santarpia M, Araujo A, Giovannetti E, Gallardo CD, et al. Immunotherapy in NSCLC: a promising and revolutionary weapon. Adv Exp Med Biol. 2017;995:97–125.
Cheng M, Durm G, Hanna N, Einhorn LH, Kong FS. Can radiotherapy potentiate the effectiveness of immune checkpoint inhibitors in lung cancer? Future Oncol. 2017;13:2503–5.
Bensch F, van der Veen EL, Lub-de Hooge MN, Jorritsma-Smit A, Boellaard R, Kok IC, et al. (89)Zr-atezolizumab imaging as a non-invasive approach to assess clinical response to PD-L1 blockade in cancer. Nat Med. 2018;24:1852–8.
Niemeijer AN, Leung D, Huisman MC, Bahce I, Hoekstra OS, van Dongen G, et al. Whole body PD-1 and PD-L1 positron emission tomography in patients with non-small-cell lung cancer. Nat Commun. 2018;9:4664.
Christensen C, Kristensen LK, Alfsen MZ, Nielsen CH, Kjaer A. Quantitative PET imaging of PD-L1 expression in xenograft and syngeneic tumour models using a site-specifically labelled PD-L1 antibody. Eur J Nucl Med Mol Imaging. 2020;47:1302–13.
Mehta N, Maddineni S, Mathews II, Andres Parra Sperberg R, Huang PS, Cochran JR. Structure and functional binding epitope of V-domain Ig suppressor of T cell activation. Cell Rep. 2019;28:2509 16-e5.
Stratmann AT, Fecher D, Wangorsch G, Gottlich C, Walles T, Walles H, et al. Establishment of a human 3D lung cancer model based on a biological tissue matrix combined with a Boolean in silico model. Mol Oncol. 2014;8:351–65.
Haiming, Luo Christopher G., England Sixiang, Shi Stephen A., Graves Reinier, Hernandez Bai, Liu Charles P., Theuer Hing C., Wong Robert J., Nickles Weibo, Cai (2016) Dual Targeting of Tissue Factor and CD105 for Preclinical PET Imaging of Pancreatic Cancer. Clinical Cancer Research 22(15):3821–3830 https://doi.org/10.1158/1078-0432.CCR-15-2054
Lin DY, Tanaka Y, Iwasaki M, Gittis AG, Su HP, Mikami B, et al. The PD-1/PD-L1 complex resembles the antigen-binding Fv domains of antibodies and T cell receptors. Proc Natl Acad Sci U S A. 2008;105:3011–6.
Freeman GJ, Long AJ, Iwai Y, Bourque K, Chernova T, Nishimura H, et al. Engagement of the PD-1 immunoinhibitory receptor by a novel B7 family member leads to negative regulation of lymphocyte activation. J Exp Med. 2000;192:1027–34.
Fehrenbacher L, Spira A, Ballinger M, Kowanetz M, Vansteenkiste J, Mazieres J, et al. Atezolizumab versus docetaxel for patients with previously treated non-small-cell lung cancer (POPLAR): a multicentre, open-label, phase 2 randomised controlled trial. Lancet. 2016;387:1837–46.
Tao X, Li N, Wu N, He J, Ying J, Gao S, et al. The efficiency of (18)F-FDG PET-CT for predicting the major pathologic response to the neoadjuvant PD-1 blockade in resectable non-small cell lung cancer. Eur J Nucl Med Mol Imaging. 2020;47:1209–19.
Li D, Cheng S, Zou S, Zhu D, Zhu T, Wang P, et al. Immuno-PET imaging of (89)Zr labeled anti-PD-L1 domain antibody. Mol Pharm. 2018;15:1674–81.
Maute RL, Gordon SR, Mayer AT, McCracken MN, Natarajan A, Ring NG, et al. Engineering high-affinity PD-1 variants for optimized immunotherapy and immuno-PET imaging. Proc Natl Acad Sci U S A. 2015;112:E6506–14.
Mayer AT, Natarajan A, Gordon SR, Maute RL, McCracken MN, Ring AM, et al. Practical immuno-PET radiotracer design considerations for human immune checkpoint imaging. J Nucl Med. 2017;58:538–46.
Meyers DE, Bryan PM, Banerji S, Morris DG. Targeting the PD-1/PD-L1 axis for the treatment of non-small-cell lung cancer. Curr Oncol. 2018;25:e324–34.
Park JE, Kim SE, Keam B, Park HR, Kim S, Kim M, et al. Anti-tumor effects of NK cells and anti-PD-L1 antibody with antibody-dependent cellular cytotoxicity in PD-L1-positive cancer cell lines. J Immunother Cancer. 2020;8(2):e000873.
Hsu J, Hodgins JJ, Marathe M, Nicolai CJ, Bourgeois-Daigneault MC, Trevino TN, et al. Contribution of NK cells to immunotherapy mediated by PD-1/PD-L1 blockade. J Clin Invest. 2018;128:4654–68.
Tsai KK, Pampaloni MH, Hope C, Algazi AP, Ljung BM, Pincus L, et al. Increased FDG avidity in lymphoid tissue associated with response to combined immune checkpoint blockade. J Immunother Cancer. 2016;4:58.
Almuhaideb A, Papathanasiou N, Bomanji J. 18F-FDG PET/CT imaging in oncology. Ann Saudi Med. 2011;31:3–13.
Ahmad, Almuhaideb Nikolaos, Papathanasiou Jamshed, Bomanji (2011) Annals of Saudi Medicine 31(1) 3–13 https://doi.org/10.4103/0256-4947.75771
Acknowledgements
We thank the Optical Bioimaging Core Facility and the Center for Nanoscale Characterization & Devices (CNCD) of WNLO-HUST for support with data acquisition, the Analytical and Testing Center of HUST for performing spectral measurements, and the Research Core Facilities for Life Science (HUST) for using flow cytometry.
Funding
The study was in part funded by the Temares Family Fund at the Massachusetts General Hospital (AWC) and the National Natural Science Foundation of China (Grant No. 81971025; HML).
Author information
Authors and Affiliations
Contributions
LH: study design, experiments, data analysis, and manuscript writing. CA: study design. YC: data analysis. KD: clinical tissue samples. SS: help to check the manuscript. All authors reviewed and approved the final version.
Corresponding authors
Ethics declarations
Ethics approval
The ethics committee of Tongji Medical College institutional review board at Huazhong University of Science and Technology approved the study protocol involving human tissue samples. All procedures involving animal studies were reviewed and approved by the Institutional Animal Care and Use Committee at Massachusetts General Hospital and the Institutional Animal Care and Use Committee of Huazhong University of Science and Technology.
Competing interests
The authors declare no competing interests.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This article is part of the Topical Collection on Preclinical Imaging
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Luo, H., Yang, C., Kuang, D. et al. Visualizing dynamic changes in PD-L1 expression in non-small cell lung carcinoma with radiolabeled recombinant human PD-1. Eur J Nucl Med Mol Imaging 49, 2735–2745 (2022). https://doi.org/10.1007/s00259-022-05680-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00259-022-05680-5