Novel Targeting Peptide for the Detection of Hepatocellular Carcinoma

Renwei Jing, Bingfeng Zuo, Xianjun Gao, Haifang Yin *

 

Department of Cell Biology and Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Medical University, Tianjin, China.

 

* Corresponding author. E-mail: haifangyin@tmu.edu.cn

 

Presented: 2018 Chinese Conference on Oncology. Shenyang, China, Aug. 17-19, 2018; Published: Oct. 18, 2018

 

Citation: Renwei Jing, Bingfeng Zuo, Xianjun Gao, and Haifang Yin, Novel Targeting Peptide for the Detection of Hepatocellular Carcinoma. Nano Biomed. Eng., 2018, Special Issue: 316.

 

Abstract

Hepatocellular carcinoma (HCC) is a devastating disease with high incidence and there is no effective treatment available in clinic. Surgery is one of the most promising approaches for treating early-stage HCC, but the early diagnosis and tumor edge detection are challenging. Therefore it is urgent to develop more specific and sensitive tools for detecting early-stage HCC. In our previous work, we have successfully established the live slice platform for liver and HCC tissues and performed phage display screening with human HCC live slices. Further evaluation in subcutaneous, orthotopic and primary HCC mouse models revealed the specific tumor-targeting property of the P47 peptide. It was demonstrated that micronodules (0.03 cm in diameter) in liver and lung can be distinguished from normal tissue with fluorescence-labeled P47 peptide in HCC mice. Moreover, P47 could differentiate HCC from abnormal liver tissues such as fibrosis, regenerative nodules, and ballooning degeneration nodules. Such results could open clinical possibilities for early detection and precise surgery of HCC. These works were published in Hepatology and highlighted by Timothy M. Pawlik.

 

Keywords: Tumor-targeting peptide; Living slide; Molecular imaging; Detection of early-stage HCC; Peptide-aided HCC surgery

 

Copyright© Renwei Jing, Bingfeng Zuo, Xianjun Gao, and Haifang Yin. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

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