Literature DB >> 30478423

89Zr-atezolizumab imaging as a non-invasive approach to assess clinical response to PD-L1 blockade in cancer.

Frederike Bensch1, Elly L van der Veen1, Marjolijn N Lub-de Hooge2,3, Annelies Jorritsma-Smit2, Ronald Boellaard3, Iris C Kok1, Sjoukje F Oosting1, Carolina P Schröder1, T Jeroen N Hiltermann4, Anthonie J van der Wekken4, Harry J M Groen4, Thomas C Kwee3, Sjoerd G Elias5, Jourik A Gietema1, Sandra Sanabria Bohorquez6, Alex de Crespigny6, Simon-Peter Williams6, Christoph Mancao7, Adrienne H Brouwers3, Bernard M Fine6, Elisabeth G E de Vries8.   

Abstract

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.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 30478423     DOI: 10.1038/s41591-018-0255-8

Source DB:  PubMed          Journal:  Nat Med        ISSN: 1078-8956            Impact factor:   53.440


  154 in total

Review 1.  Progress of Coordination and Utilization of Zirconium-89 for Positron Emission Tomography (PET) Studies.

Authors:  Minh Thanh La; Van Hieu Tran; Hee-Kwon Kim
Journal:  Nucl Med Mol Imaging       Date:  2019-01-29

2.  Multimodal Multiplexed Immunoimaging with Nanostars to Detect Multiple Immunomarkers and Monitor Response to Immunotherapies.

Authors:  Yu-Chuan Ou; Xiaona Wen; Christopher A Johnson; Daniel Shae; Oscar D Ayala; Joseph A Webb; Eugene C Lin; Rossane C DeLapp; Kelli L Boyd; Ann Richmond; Anita Mahadevan-Jansen; Marjan Rafat; John T Wilson; Justin M Balko; Mohammed N Tantawy; Anna E Vilgelm; Rizia Bardhan
Journal:  ACS Nano       Date:  2020-01-02       Impact factor: 15.881

Review 3.  Immune Checkpoint Imaging in Oncology: A Game Changer Toward Personalized Immunotherapy?

Authors:  Susanne Lütje; Georg Feldmann; Markus Essler; Peter Brossart; Ralph A Bundschuh
Journal:  J Nucl Med       Date:  2020-01-10       Impact factor: 10.057

4.  Pretreatment metabolic tumour volume in stage IIIA/B non-small-cell lung cancer uncovers differences in effectiveness of definitive radiochemotherapy schedules: analysis of the ESPATUE randomized phase 3 trial.

Authors:  Maja Guberina; Wilfried Eberhardt; Martin Stuschke; Thomas Gauler; Clemens Aigner; Martin Schuler; Georgios Stamatis; Dirk Theegarten; Walter Jentzen; Ken Herrmann; Christoph Pöttgen
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-02-01       Impact factor: 9.236

5.  Noninvasive Imaging and Quantification of Radiotherapy-Induced PD-L1 Upregulation with 89Zr-Df-Atezolizumab.

Authors:  Emily B Ehlerding; Hye Jin Lee; Todd E Barnhart; Dawei Jiang; Lei Kang; Douglas G McNeel; Jonathan W Engle; Weibo Cai
Journal:  Bioconjug Chem       Date:  2019-04-19       Impact factor: 4.774

Review 6.  Non-invasive molecular imaging of kidney diseases.

Authors:  Barbara M Klinkhammer; Twan Lammers; Felix M Mottaghy; Fabian Kiessling; Jürgen Floege; Peter Boor
Journal:  Nat Rev Nephrol       Date:  2021-06-29       Impact factor: 28.314

7.  Dose escalation PET imaging for safety and effective therapy dose optimization of a bispecific antibody.

Authors:  Yan Wang; Donghui Pan; Chenrong Huang; Bingliang Chen; Mingzhu Li; Shuaixiang Zhou; Lizhen Wang; Min Wu; Xinyu Wang; Yicong Bian; Junjie Yan; Junjian Liu; Min Yang; Liyan Miao
Journal:  MAbs       Date:  2020 Jan-Dec       Impact factor: 5.857

8.  Immuno-PET imaging of 68Ga-labeled nanobody Nb109 for dynamic monitoring the PD-L1 expression in cancers.

Authors:  Qingzhu Liu; Lei Jiang; Ke Li; Hang Li; Gaochao Lv; Jianguo Lin; Ling Qiu
Journal:  Cancer Immunol Immunother       Date:  2021-01-02       Impact factor: 6.968

9.  89Zr-Labeled Anti-PD-L1 Antibody Fragment for Evaluating In Vivo PD-L1 Levels in Melanoma Mouse Model.

Authors:  Caleb Bridgwater; Anne Geller; Xiaoling Hu; Joe A Burlison; Huang-Ge Zhang; Jun Yan; Haixun Guo
Journal:  Cancer Biother Radiopharm       Date:  2020-04-21       Impact factor: 3.099

10.  In Vivo Evaluation and Dosimetry Estimate for a High Affinity Affibody PET Tracer Targeting PD-L1.

Authors:  Daniel J Rubins; Xiangjun Meng; Paul McQuade; Michael Klimas; Krista Getty; Shu-An Lin; Brett M Connolly; Stacey S O'Malley; Hyking Haley; Mona Purcell; Liza Gantert; Marie Holahan; Joel Lindgren; Pär Eklund; Caroline Ekblad; Fredrik Y Frejd; Eric D Hostetler; Dinko E González Trotter; Jeffrey L Evelhoch
Journal:  Mol Imaging Biol       Date:  2020-10-23       Impact factor: 3.488

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.