Image-guided surgery with a new tumour-targeting probe improves the identification of positive margins

吲哚青绿 医学 手术切缘 触诊 乳腺癌 体内 病理 癌症 外科 切除术 生物 内科学 生物技术
作者
Masahide Goto,Ingeun Ryoo,Samer A. Naffouje,Sunam Mander,Konstantin Christov,Jing Wang,Albert Green,Anne Shilkaitis,Tapas K. Das Gupta,Tohru Yamada
出处
期刊:EBioMedicine [Elsevier BV]
卷期号:76: 103850-103850 被引量:32
标识
DOI:10.1016/j.ebiom.2022.103850
摘要

BACKGROUND: Given the lack of visual discrepancy between malignant and surrounding normal tissue, current breast conserving surgery (BCS) is associated with a high re-excision rate. Due to the increasing cases of BCS, a novel method of complete tumour removal at the initial surgical resection is critically needed in the operating room to help optimize the surgical procedure and to confirm tumour-free edges. METHODS: We developed a unique near-infrared (NIR) fluorescence imaging probe, ICG-p28, composed of the clinically nontoxic tumour-targeting peptide p28 and the FDA-approved NIR dye indocyanine green (ICG). ICG-p28 was characterized in vitro and evaluated in multiple breast cancer animal models with appropriate control probes. Our experimental approach with multiple-validations and -blinded procedures was designed to determine whether ICG-p28 can accurately identify tumour margins in mimicked intraoperative settings. FINDINGS: -fold reduction in residual normalized tumour DNA at the margin site relative to control approaches (i.e., surgery with ICG or palpation/visible inspection alone), resulting in an improved tumour recurrence rate (92% specificity) in multiple breast cancer animal models independent of the receptor expression status. ICG-p28 allowed accurate identification of tumour cells in the margin to increase the complete resection rate. INTERPRETATION: Our simple and cost-effective approach has translational potential and offers a new surgical procedure that enables surgeons to intraoperatively identify tumour margins in a real-time, 3D fashion and that notably improves overall outcomes by reducing re-excision rates. FUNDING: This work was supported by NIH/ National Institute of Biomedical Imaging and Bioengineering, R01EB023924.
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