Literature DB >> 31927974

A Near-Infrared Peptide Probe with Tumor-Specific Excretion-Retarded Effect for Image-Guided Surgery of Renal Cell Carcinoma.

Hong-Wei An1,2, Dayong Hou3,1,4, Rui Zheng1, Man-Di Wang1, Xiang-Zhong Zeng1, Wu-Yi Xiao1, Tong-Da Yan1, Jia-Qi Wang3,1,4, Chang-Hao Zhao3,1,4, Li-Ming Cheng3,4, Jin-Ming Zhang3,4, Lu Wang3,4, Zi-Qi Wang3,1,4, Hao Wang1,4, Wanhai Xu3,4.   

Abstract

Image-guided surgery plays a crucial role in realizing complete tumor removal, reducing postoperative recurrence and increasing patient survival. However, imaging of tumor lesion in the typical metabolic organs, e.g., kidney and liver, still has great challenges due to the intrinsic nonspecific accumulation of imaging probes in those organs. Herein, we report an in situ self-assembled near-infrared (NIR) peptide probe with tumor-specific excretion-retarded (TER) effect in tumor lesions, enabling high-performance imaging of human renal cell carcinoma (RCC) and achieving complete tumor removal, ultimately reducing postoperative recurrence. The NIR peptide probe first specifically recognizes αvβ3 integrin overexpressed in renal cancer cells, then is cleaved by MMP-2/9, which is up-regulated in the tumor microenvironment. The probe residue spontaneously self-assembles into nanofibers that exhibit an excretion-retarded effect in the kidney, which contributes to a high signal-to-noise (S/N) ratio in orthotopic RCC mice. Intriguingly, the TER effect also enables precisely identifying eye-invisible tiny lesions (<1 mm), which contributes to complete tumor removal and significantly reduces the postoperative recurrence compared with traditional surgery. Finally, the TER strategy is successfully employed in high-performance identification of human RCC in an ex vivo kidney perfusion model. Taken together, this NIR peptide probe based on the TER strategy is a promising method for detecting tumors in metabolic organs in diverse biomedical applications.

Entities:  

Keywords:  image-guided surgery; probe; renal cell carcinoma; self-assembly; supramolecular

Mesh:

Substances:

Year:  2020        PMID: 31927974     DOI: 10.1021/acsnano.9b08209

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


  8 in total

1.  Near-Infrared Fluorescence Imaging of Renal Cell Carcinoma with ASP5354 in a Mouse Model for Intraoperative Guidance.

Authors:  Katsunori Teranishi
Journal:  Int J Mol Sci       Date:  2022-06-29       Impact factor: 6.208

Review 2.  Enzymatic Noncovalent Synthesis.

Authors:  Hongjian He; Weiyi Tan; Jiaqi Guo; Meihui Yi; Adrianna N Shy; Bing Xu
Journal:  Chem Rev       Date:  2020-08-19       Impact factor: 60.622

Review 3.  Activated molecular probes for enzyme recognition and detection.

Authors:  Meng Yuan; Ying Wu; Caiyan Zhao; Zhongxiang Chen; Lichao Su; Huanghao Yang; Jibin Song
Journal:  Theranostics       Date:  2022-01-01       Impact factor: 11.556

Review 4.  Supramolecular Nanomedicines of In-Situ Self-Assembling Peptides.

Authors:  Ying Zhang; Yingying Yu; Jie Gao
Journal:  Front Chem       Date:  2022-02-04       Impact factor: 5.221

5.  An activated excretion-retarded tumor imaging strategy towards metabolic organs.

Authors:  Da-Yong Hou; Man-Di Wang; Xing-Jie Hu; Zhi-Jia Wang; Ni-Yuan Zhang; Gan-Tian Lv; Jia-Qi Wang; Xiu-Hai Wu; Lu Wang; Hao Wang; Wanhai Xu
Journal:  Bioact Mater       Date:  2021-12-17

Review 6.  Intracellular Enzyme-Instructed Self-Assembly of Peptides (IEISAP) for Biomedical Applications.

Authors:  Fengming Lin; Chenyang Jia; Fu-Gen Wu
Journal:  Molecules       Date:  2022-10-04       Impact factor: 4.927

Review 7.  Peptide-Based Nanoassemblies in Gene Therapy and Diagnosis: Paving the Way for Clinical Application.

Authors:  Shabnam Tarvirdipour; Xinan Huang; Voichita Mihali; Cora-Ann Schoenenberger; Cornelia G Palivan
Journal:  Molecules       Date:  2020-07-31       Impact factor: 4.411

8.  A bioactivated in vivo assembly nanotechnology fabricated NIR probe for small pancreatic tumor intraoperative imaging.

Authors:  Han Ren; Xiang-Zhong Zeng; Xiao-Xiao Zhao; Da-Yong Hou; Haodong Yao; Muhammad Yaseen; Lina Zhao; Wan-Hai Xu; Hao Wang; Li-Li Li
Journal:  Nat Commun       Date:  2022-01-20       Impact factor: 14.919

  8 in total

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