CC BY-NC-ND 4.0 · Endoscopy 2022; 54(12): 1198-1204
DOI: 10.1055/a-1801-2406
Innovations and brief communications

Detection of Barrett’s neoplasia with a near-infrared fluorescent heterodimeric peptide

1   Division of Gastroenterology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
,
Yang Jiang
2   Department of Bioengineering, University of Washington, Seattle, Washington, USA
,
3   Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan, USA
,
Joel H. Rubenstein
1   Division of Gastroenterology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
,
Richard S. Kwon
1   Division of Gastroenterology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
,
Erik J. Wamsteker
1   Division of Gastroenterology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
,
Anoop Prabhu
1   Division of Gastroenterology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
,
Lili Zhao
4   Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA
,
Henry D. Appelman
5   Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
,
Scott R. Owens
5   Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
,
David G. Beer
6   Department of Surgery, Section of Thoracic Surgery, University of Michigan, Ann Arbor, Michigan, USA
,
D. Kim Turgeon
1   Division of Gastroenterology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
,
Eric J. Seibel
7   Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
,
1   Division of Gastroenterology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
3   Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan, USA
8   Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA
› Author Affiliations
Supported by: National Institutes of Health CA163059

Trial Registration: ClinicalTrials.gov Registration number (trial ID): NCT03852576 Type of study: randomized

Abstract

Background Esophageal adenocarcinoma (EAC) is a molecularly heterogeneous disease with poor prognosis that is rising rapidly in incidence. We aimed to demonstrate specific binding by a peptide heterodimer to Barrett’s neoplasia in human subjects.

Methods Peptide monomers specific for EGFR and ErbB2 were arranged in a heterodimer configuration and labeled with IRDye800. This near-infrared (NIR) contrast agent was topically administered to patients with Barrett’s esophagus (BE) undergoing either endoscopic therapy or surveillance. Fluorescence images were collected using a flexible fiber accessory passed through the instrument channel of an upper gastrointestinal endoscope. Fluorescence images were collected from 31 BE patients. A deep learning model was used to segment the target (T) and background (B) regions.

Results The mean target-to-background (T/B) ratio was significantly greater for high grade dysplasia (HGD) and EAC versus BE, low grade dysplasia (LGD), and squamous epithelium. At a T/B ratio of 1.5, sensitivity and specificity of 94.1 % and 92.6 %, respectively, were achieved for the detection of Barrett’s neoplasia with an area under the curve of 0.95. No adverse events attributed to the heterodimer were found. EGFR and ErbB2 expression were validated in the resected specimens.

Conclusions This “first-in-human” clinical study demonstrates the feasibility of detection of early Barrett’s neoplasia using a NIR-labeled peptide heterodimer.

Supplementary material



Publication History

Received: 01 September 2021

Accepted after revision: 04 March 2022

Accepted Manuscript online:
17 March 2022

Article published online:
20 June 2022

© 2022. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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