Literature DB >> 31924738

Efficacy of Affibody-Based Ultrasound Molecular Imaging of Vascular B7-H3 for Breast Cancer Detection.

Rakesh Bam1, Patrick S Lown2, Lawrence A Stern2, Karina Sharma1, Katheryne E Wilson1, Gregory R Bean3, Amelie M Lutz1, Ramasamy Paulmurugan1, Benjamin J Hackel2, Jeremy Dahl4, Lotfi Abou-Elkacem1.   

Abstract

PURPOSE: Human B7-H3 (hB7-H3) is a promising molecular imaging target differentially expressed on the neovasculature of breast cancer and has been validated for preclinical ultrasound (US) imaging with anti-B7-H3-antibody-functionalized microbubbles (MB). However, smaller ligands such as affibodies (ABY) are more suitable for the design of clinical-grade targeted MB. EXPERIMENTAL
DESIGN: Binding of ABYB7-H3 was confirmed with soluble and cell-surface B7-H3 by flow cytometry. MB were functionalized with ABYB7-H3 or anti-B7-H3-antibody (AbB7-H3). Control and targeted MB were tested for binding to hB7-H3-expressing cells (MS1hB7-H3) under shear stress conditions. US imaging was performed with MBABY-B7-H3 in an orthotopic mouse model of human MDA-MB-231 coimplanted with MS1hB7-H3 or control MS1WT cells and a transgenic mouse model of breast cancer development.
RESULTS: ABYB7-H3 specifically binds to MS1hB7-H3 and murine-B7-H3-expressing monocytes. MBABY-B7-H3 (8.5 ± 1.4 MB/cell) and MBAb-B7-H3 (9.8 ± 1.3 MB/cell) showed significantly higher (P < 0.0001) binding to the MS1hB7-H3 cells compared with control MBNon-targeted (0.5 ± 0.1 MB/cell) under shear stress conditions. In vivo, MBABY-B7-H3 produced significantly higher (P < 0.04) imaging signal in orthotopic tumors coengrafted with MS1hB7-H3 (8.4 ± 3.3 a.u.) compared with tumors with MS1WT cells (1.4 ± 1.0 a.u.). In the transgenic mouse tumors, MBABY-B7-H3 (9.6 ± 2.0 a.u.) produced higher (P < 0.0002) imaging signal compared with MBNon-targeted (1.3 ± 0.3 a.u.), whereas MBABY-B7-H3 signal in normal mammary glands and tumors with B7-H3 blocking significantly reduced (P < 0.02) imaging signal.
CONCLUSIONS: MBABY-B7-H3 enhances B7-H3 molecular signal in breast tumors, improving cancer detection, while offering the advantages of a small size ligand and easier production for clinical imaging. ©2020 American Association for Cancer Research.

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Year:  2020        PMID: 31924738      PMCID: PMC7196517          DOI: 10.1158/1078-0432.CCR-19-1655

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  48 in total

Review 1.  Supplemental Screening for Breast Cancer in Women With Dense Breasts: A Systematic Review for the U.S. Preventive Services Task Force.

Authors:  Joy Melnikow; Joshua J Fenton; Evelyn P Whitlock; Diana L Miglioretti; Meghan S Weyrich; Jamie H Thompson; Kunal Shah
Journal:  Ann Intern Med       Date:  2016-01-12       Impact factor: 25.391

2.  Breast Cancer Detection by B7-H3-Targeted Ultrasound Molecular Imaging.

Authors:  Sunitha V Bachawal; Kristin C Jensen; Katheryne E Wilson; Lu Tian; Amelie M Lutz; Jürgen K Willmann
Journal:  Cancer Res       Date:  2015-04-21       Impact factor: 12.701

Review 3.  Targeting of microbubbles: contrast agents for ultrasound molecular imaging.

Authors:  Shiying Wang; John A Hossack; Alexander L Klibanov
Journal:  J Drug Target       Date:  2018-01-09       Impact factor: 5.121

4.  Ultrasound as the Primary Screening Test for Breast Cancer: Analysis From ACRIN 6666.

Authors:  Wendie A Berg; Andriy I Bandos; Ellen B Mendelson; Daniel Lehrer; Roberta A Jong; Etta D Pisano
Journal:  J Natl Cancer Inst       Date:  2015-12-28       Impact factor: 13.506

5.  Novel comprehensive approach for accessible biomarker identification and absolute quantification from precious human tissues.

Authors:  Andrei Turtoi; Bruno Dumont; Yannick Greffe; Arnaud Blomme; Gabriel Mazzucchelli; Philippe Delvenne; Eugène Nzaramba Mutijima; Eric Lifrange; Edwin De Pauw; Vincent Castronovo
Journal:  J Proteome Res       Date:  2011-05-20       Impact factor: 4.466

6.  Ten-year risk of false positive screening mammograms and clinical breast examinations.

Authors:  J G Elmore; M B Barton; V M Moceri; S Polk; P J Arena; S W Fletcher
Journal:  N Engl J Med       Date:  1998-04-16       Impact factor: 91.245

7.  Ultrasound assessment of inflammation and renal tissue injury with microbubbles targeted to P-selectin.

Authors:  J R Lindner; J Song; J Christiansen; A L Klibanov; F Xu; K Ley
Journal:  Circulation       Date:  2001-10-23       Impact factor: 29.690

8.  Characterization of mouse and human B7-H3 genes.

Authors:  Mingyi Sun; Sabrina Richards; Durbaka V R Prasad; Xoi Muoi Mai; Alexander Rudensky; Chen Dong
Journal:  J Immunol       Date:  2002-06-15       Impact factor: 5.422

9.  First-in-human molecular imaging of HER2 expression in breast cancer metastases using the 111In-ABY-025 affibody molecule.

Authors:  Jens Sörensen; Dan Sandberg; Mattias Sandström; Anders Wennborg; Joachim Feldwisch; Vladimir Tolmachev; Gunnar Åström; Mark Lubberink; Ulrike Garske-Román; Jörgen Carlsson; Henrik Lindman
Journal:  J Nucl Med       Date:  2014-03-24       Impact factor: 10.057

Review 10.  B7H3 As a Promoter of Metastasis and Promising Therapeutic Target.

Authors:  Peixin Dong; Ying Xiong; Junming Yue; Sharon J B Hanley; Hidemichi Watari
Journal:  Front Oncol       Date:  2018-07-06       Impact factor: 6.244

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  7 in total

1.  Development and Characterization of B7-H3-specific Affibody-coated Microbubbles for Breast US Imaging.

Authors:  Adeline N Boettcher
Journal:  Radiol Imaging Cancer       Date:  2020-03-27

2.  Aptamer-Functionalized Microbubbles Targeted to P-selectin for Ultrasound Molecular Imaging of Murine Bowel Inflammation.

Authors:  Una Goncin; Laura Curiel; C Ronald Geyer; Steven Machtaler
Journal:  Mol Imaging Biol       Date:  2022-07-18       Impact factor: 3.484

Review 3.  Protein scaffolds: antibody alternatives for cancer diagnosis and therapy.

Authors:  Renli Luo; Hongguang Liu; Zhen Cheng
Journal:  RSC Chem Biol       Date:  2022-05-25

4.  Biomimetic nanobubbles for triple-negative breast cancer targeted ultrasound molecular imaging.

Authors:  Natacha Jugniot; Tarik F Massoud; Jeremy J Dahl; Ramasamy Paulmurugan
Journal:  J Nanobiotechnology       Date:  2022-06-10       Impact factor: 9.429

5.  Nondestructive Detection of Targeted Microbubbles Using Dual-Mode Data and Deep Learning for Real-Time Ultrasound Molecular Imaging.

Authors:  Dongwoon Hyun; Lotfi Abou-Elkacem; Rakesh Bam; Leandra L Brickson; Carl D Herickhoff; Jeremy J Dahl
Journal:  IEEE Trans Med Imaging       Date:  2020-04-09       Impact factor: 10.048

Review 6.  Application of Noninvasive Imaging to Combined Immune Checkpoint Inhibitors for Breast Cancer: Facts and Future.

Authors:  Zhongquan Cheng; Yang Du; Leyi Yu; Zhu Yuan; Jie Tian
Journal:  Mol Imaging Biol       Date:  2022-01-31       Impact factor: 3.488

7.  Pan-Cancer Analysis of Microfibrillar-Associated Protein 2 (MFAP2) Based on Bioinformatics and qPCR Verification.

Authors:  Zhilei Qiu; Miao Xin; Chenyang Wang; Yueli Zhu; Qingnuan Kong; Zhijun Liu
Journal:  J Oncol       Date:  2022-02-15       Impact factor: 4.375

  7 in total

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