89Zr-atezolizumab imaging as a non-invasive approach to assess clinical response to PD-L1 blockade in cancer
| العنوان: | 89Zr-atezolizumab imaging as a non-invasive approach to assess clinical response to PD-L1 blockade in cancer |
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| المؤلفون: | Anthonie J. van der Wekken, Thomas C. Kwee, Sjoerd G. Elias, Adrienne H. Brouwers, Harry J.M. Groen, Alex de Crespigny, Carolina P. Schröder, Bernard M. Fine, Annelies Jorritsma-Smit, Elly L van der Veen, T. Jeroen N. Hiltermann, Simon Williams, Ronald Boellaard, Sandra Sanabria Bohorquez, Elisabeth G.E. de Vries, Christoph Mancao, Sjoukje F. Oosting, Jourik A. Gietema, Marjolijn N. Lub-de Hooge, Iris C. Kok, Frederike Bensch |
| المساهمون: | CCA - Imaging and biomarkers, Amsterdam Neuroscience - Brain Imaging, Radiology and nuclear medicine, ACS - Heart failure & arrhythmias, Guided Treatment in Optimal Selected Cancer Patients (GUTS), Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE), Damage and Repair in Cancer Development and Cancer Treatment (DARE), Translational Immunology Groningen (TRIGR) |
| المصدر: | Nature Medicine, 24(12), 1852. Nature Publishing Group Nature Medicine, 24(12), 1852-1858. Nature Publishing Group Bensch, F, van der Veen, E L, Lub-de Hooge, M N, Jorritsma-Smit, A, Boellaard, R, Kok, I C, Oosting, S F, Schröder, C P, Hiltermann, T J N, van der Wekken, A J, Groen, H J M, Kwee, T C, Elias, S G, Gietema, J A, Bohorquez, S S, de Crespigny, A, Williams, S-P, Mancao, C, Brouwers, A H, Fine, B M & de Vries, E G E 2018, ' 89Zr-atezolizumab imaging as a non-invasive approach to assess clinical response to PD-L1 blockade in cancer ', Nature Medicine, vol. 24, no. 12, pp. 1852-1858 . https://doi.org/10.1038/s41591-018-0255-8 |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | EXPRESSION, ZR-89-TRASTUZUMAB, 0301 basic medicine, Oncology, medicine.medical_specialty, Biodistribution, CARCINOMA, MULTICENTER, Biochemistry, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, 0302 clinical medicine, Atezolizumab, PULMONARY SQUAMOUS-CELL, BIODISTRIBUTION, Internal medicine, Biopsy, medicine, Journal Article, HETEROGENEITY, medicine.diagnostic_test, business.industry, Biochemistry, Genetics and Molecular Biology(all), Cancer, General Medicine, medicine.disease, ATEZOLIZUMAB, Blockade, Clinical trial, PET, 030104 developmental biology, Positron emission tomography, 030220 oncology & carcinogenesis, Monoclonal, 1 ANTIBODY, business, Genetics and Molecular Biology(all) |
| الوصف: | Programmed cell death protein-1/ligand-1 (PD-1/PD-L1) blockade is effective in a subset of patients with several tumor types, but predicting patient benefit using approved diagnostics is inexact, as some patients with PD-L1-negative tumors also show clinical benefit1,2. Moreover, all biopsy-based tests are subject to the errors and limitations of invasive tissue collection3-11. Preclinical studies of positron-emission tomography (PET) imaging with antibodies to PD-L1 suggested that this imaging method might be an approach to selecting patients12,13. Such a technique, however, requires substantial clinical development and validation. Here we present the initial results from a first-in-human study to assess the feasibility of imaging with zirconium-89-labeled atezolizumab (anti-PD-L1), including biodistribution, and secondly test its potential to predict response to PD-L1 blockade (ClinicalTrials.gov identifiers NCT02453984 and NCT02478099). We imaged 22 patients across three tumor types before the start of atezolizumab therapy. The PET signal, a function of tracer exposure and target expression, was high in lymphoid tissues and at sites of inflammation. In tumors, uptake was generally high but heterogeneous, varying within and among lesions, patients, and tumor types. Intriguingly, clinical responses in our patients were better correlated with pretreatment PET signal than with immunohistochemistry- or RNA-sequencing-based predictive biomarkers, encouraging further development of molecular PET imaging for assessment of PD-L1 status and clinical response prediction. |
| وصف الملف: | image/pdf; application/pdf |
| اللغة: | English |
| تدمد: | 1078-8956 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::befbeb8360f8b2375bd67b74c3b97721 https://doi.org/10.1038/s41591-018-0255-8 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....befbeb8360f8b2375bd67b74c3b97721 |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Springer Verlag. | تدمد: | 10788956 |
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